News & Updates
The latest news and updates from companies in the WLTH portfolio.
EarthDaily Secures Eight-Figure AI-Ready Data Subscription Agreement with US Defense & Intelligence Technology Company - PPI News Agency
VANCOUVER, British Columbia, April 09, 2026 (GLOBE NEWSWIRE) -- EarthDaily Analytics (EarthDaily) today announced it has signed a new eight-figure data subscription agreement with a US Defense and Intelligence Technology Company, reflecting the growing demand for AI-ready Earth observation data built on consistency, calibration, and trust. The agreement provides the customer access to tens of millions of square kilometers of daily images. EarthDaily's analysis-ready data will support the customer's large-scale AI and machine learning workflows. The EarthDaily Constellation is uniquely designed to deliver consistent, repeatable measurement at global scale. By capturing the entire planet every day at the same local solar time and viewing geometry, the constellation imagery provides a stable foundation for AI workflows. This consistency reduces noise in datasets, a key requirement for training, validating, and deploying AI models with confidence. Built as a measurement system first, EarthDaily applies rigorous radiometric and geometric calibration to ensure that data is not only visually accurate, but analytically reliable across time. With 22 spectral bands spanning the visible, near-infrared, shortwave infrared, and thermal infrared, the system captures subtle changes in terrain, infrastructure and surface conditions. This enables AI models to detect real change, not artifacts introduced by inconsistent collection conditions. The result is a fundamentally different data foundation for AI: one that supports continuous monitoring, scalable automation, and forward-looking Earth intelligence designed to support governments and enterprises operating in complex, high-impact environments. "We look forward to partnering closely with this established and highly respected leader in US defense and intelligence technology," said Don Osborne, "it is a strong validation of both their mission and the quality of our data." About EarthDaily EarthDaily is a global Earth observation company focused on delivering science-grade data and analytics designed for broad-area change detection and decision-centric intelligence. With the upcoming launch of the EarthDaily Constellation, the company is building a foundation for daily, globally consistent Earth intelligence to support governments and enterprises operating in complex, high-impact environments. To learn more, visit earthdaily.com and follow EarthDaily on LinkedIn (@EarthDaily) and X (@EarthDailyA). A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/d3931e2f-a83e-4829-98be-836c0cbf6010
EarthDaily Secures Eight-Figure AI-Ready Data Subscription Agreement with US Defense & Intelligence Technology Company - Africa Newswire
VANCOUVER, British Columbia, April 09, 2026 (GLOBE NEWSWIRE) -- EarthDaily Analytics (EarthDaily) today announced it has signed a new eight-figure data subscription agreement with a US Defense and Intelligence Technology Company, reflecting the growing demand for AI-ready Earth observation data built on consistency, calibration, and trust. The agreement provides the customer access to tens of millions of square kilometers of daily images. EarthDaily's analysis-ready data will support the customer's large-scale AI and machine learning workflows. The EarthDaily Constellation is uniquely designed to deliver consistent, repeatable measurement at global scale. By capturing the entire planet every day at the same local solar time and viewing geometry, the constellation imagery provides a stable foundation for AI workflows. This consistency reduces noise in datasets, a key requirement for training, validating, and deploying AI models with confidence. Built as a measurement system first, EarthDaily applies rigorous radiometric and geometric calibration to ensure that data is not only visually accurate, but analytically reliable across time. With 22 spectral bands spanning the visible, near-infrared, shortwave infrared, and thermal infrared, the system captures subtle changes in terrain, infrastructure and surface conditions. This enables AI models to detect real change, not artifacts introduced by inconsistent collection conditions. The result is a fundamentally different data foundation for AI: one that supports continuous monitoring, scalable automation, and forward-looking Earth intelligence designed to support governments and enterprises operating in complex, high-impact environments. "We look forward to partnering closely with this established and highly respected leader in US defense and intelligence technology," said Don Osborne, "it is a strong validation of both their mission and the quality of our data." About EarthDaily EarthDaily is a global Earth observation company focused on delivering science-grade data and analytics designed for broad-area change detection and decision-centric intelligence. With the upcoming launch of the EarthDaily Constellation, the company is building a foundation for daily, globally consistent Earth intelligence to support governments and enterprises operating in complex, high-impact environments. To learn more, visit earthdaily.com and follow EarthDaily on LinkedIn (@EarthDaily) and X (@EarthDailyA). A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/d3931e2f-a83e-4829-98be-836c0cbf6010
EarthDaily Secures Eight-Figure AI-Ready Data Subscription Agreement with US Defense & Intelligence Technology Company - Africa Newswire
VANCOUVER, British Columbia, April 09, 2026 (GLOBE NEWSWIRE) -- EarthDaily Analytics (EarthDaily) today announced it has signed a new eight-figure data subscription agreement with a US Defense and Intelligence Technology Company, reflecting the growing demand for AI-ready Earth observation data built on consistency, calibration, and trust. The agreement provides the customer access to tens of millions of square kilometers of daily images. EarthDaily's analysis-ready data will support the customer's large-scale AI and machine learning workflows. The EarthDaily Constellation is uniquely designed to deliver consistent, repeatable measurement at global scale. By capturing the entire planet every day at the same local solar time and viewing geometry, the constellation imagery provides a stable foundation for AI workflows. This consistency reduces noise in datasets, a key requirement for training, validating, and deploying AI models with confidence. Built as a measurement system first, EarthDaily applies rigorous radiometric and geometric calibration to ensure that data is not only visually accurate, but analytically reliable across time. With 22 spectral bands spanning the visible, near-infrared, shortwave infrared, and thermal infrared, the system captures subtle changes in terrain, infrastructure and surface conditions. This enables AI models to detect real change, not artifacts introduced by inconsistent collection conditions. The result is a fundamentally different data foundation for AI: one that supports continuous monitoring, scalable automation, and forward-looking Earth intelligence designed to support governments and enterprises operating in complex, high-impact environments. "We look forward to partnering closely with this established and highly respected leader in US defense and intelligence technology," said Don Osborne, "it is a strong validation of both their mission and the quality of our data." About EarthDaily EarthDaily is a global Earth observation company focused on delivering science-grade data and analytics designed for broad-area change detection and decision-centric intelligence. With the upcoming launch of the EarthDaily Constellation, the company is building a foundation for daily, globally consistent Earth intelligence to support governments and enterprises operating in complex, high-impact environments. To learn more, visit earthdaily.com and follow EarthDaily on LinkedIn (@EarthDaily) and X (@EarthDailyA). A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/d3931e2f-a83e-4829-98be-836c0cbf6010
How the math works on a 1.75 trillion SpaceX valuation
How the math works on a 1.75 trillion SpaceX valuation Elon Musk's SpaceX is seeking a $1.75 trillion valuation in its forthcoming initial public offering. How far into the stratosphere is that? Going by common Wall Street metrics, the answer is, way out there. SpaceX would immediately become the sixth most-valuable publicly listed U.S. firm, worth more than the likes of Meta Platforms, which has been publicly listed .for more than a decade, and Berkshire Hathaway, a company older than SpaceX founder Elon Musk. And yet, there is no sign that investors will think twice about hitting the buy button once it goes public .in an IPO that could raise $75 billion or more, which would be a record. The frenzy has grown so intense that some are pouring money into opaque secondary markets, accepting complex arrangements and murky ownership just for a shot at owning the shares. Continued here No ads. Just work essentials. Expense Premium.
EQS-News: EDGX launches first in-orbit demonstration of its AI computing system on SpaceX Transporter-16
STERNA is EDGX's AI-powered edge computer for satellites with space grade reliability. BRUSSELS, April 9, 2026 /PRNewswire/ -- Belgian spacetech EDGX has successfully launched its first in-orbit demonstration of STERNA, an AI-powered edge computer for satellite constellations aboard SpaceX's Transporter-16 mission. With two hosted payloads now in orbit, EDGX enables real-time data processing directly in space, a critical capability for next-generation satellite constellations across commercial, governmental, and defence applications. Through STERNA, the company brings high-performance, NVIDIA-based processing directly onboard satellites, allowing data to be analysed in orbit rather than relying solely on ground infrastructure. STERNA is an NVIDIA-powered computing platform, designed to run high-performance workloads directly in orbit. Engineered for real in-orbit constraints, it dynamically scales power between 10W and 45W, ensuring continuous data processing under varying power and thermal conditions. The system is designed for long-term reliability, with a target operational lifetime of 7 years in orbit. The news is a key milestone for Europe's space-based computing infrastructure and follows a €2.3 million seed funding round in June 2025. Commenting on the news, EDGX CEO Nick Destrycker said: "This launch marks a key milestone for EDGX and for Europe's position in space-based computing. By bringing high-performance compute directly into orbit, we're enabling satellites to move from data collection platforms to real-time decision-making systems. Our focus is simple: deliver reliable, scalable compute infrastructure in space, and this mission is the first step. "We believe the next phase of the space industry will be defined by compute in orbit. This mission is the first step in building that infrastructure, turning satellites into intelligent, software-defined systems capable of processing data where it is generated." By bringing NVIDIA-class compute performance into space, EDGX enables a new generation of software-defined satellites capable of running advanced AI workloads, from Earth observation analytics to real-time signal intelligence, directly where the data is generated. This reduces latency, cuts bandwidth usage, and supports faster decision-making for operators on the ground. This capability eliminates the traditional bottleneck of sending massive raw datasets to Earth for processing, enabling satellite operators to deliver faster, more efficient, and data-driven services. In defence scenarios for example, this translates into a real operational advantage: reducing the time between detection and action on the battlefield. Photo - https://mma.prnewswire.com/media/2953056/STERNA.jpg Logo - https://mma.prnewswire.com/media/2746930/5908277/EDGX_Logo.jpg
IT industry, govt. examine cybersecurity implications of Anthropic's Mythos model
The Indian IT industry and the Union government are studying the ramifications of Claude Mythos, Anthropic's unreleased model that has been billed as a powerful scanner - and potentially a vector - of undiscovered security vulnerabilities across the world's most widely used computer systems. The Hindu has learnt that officials in the Electronics and Information Technology Ministry and at the Computer Emergency Response Team, India (CERT-in) are deliberating what Mythos's capabilities could mean in the coming days, even as a consortium of American firms, in partnership with Anthropic, rushes to patch software vulnerabilities that human cybersecurity experts have not hitherto spotted or fixed.
EarthDaily Secures Eight-Figure AI-Ready Data Subscription Agreement with US Defense & Intelligence Technology Company
Agreement highlights growing demand for calibrated, consistent data powering AI-driven Earth intelligence VANCOUVER, British Columbia, April 09, 2026 (GLOBE NEWSWIRE) -- EarthDaily Analytics (EarthDaily) today announced it has signed a new eight-figure data subscription agreement with a US Defense and Intelligence Technology Company, reflecting the growing demand for AI-ready Earth observation data built on consistency, calibration, and trust. The agreement provides the customer access to tens of millions of square kilometers of daily images. EarthDaily's analysis-ready data will support the customer's large-scale AI and machine learning workflows. The EarthDaily Constellation is uniquely designed to deliver consistent, repeatable measurement at global scale. By capturing the entire planet every day at the same local solar time and viewing geometry, the constellation imagery provides a stable foundation for AI workflows. This consistency reduces noise in datasets, a key requirement for training, validating, and deploying AI models with confidence. Built as a measurement system first, EarthDaily applies rigorous radiometric and geometric calibration to ensure that data is not only visually accurate, but analytically reliable across time. With 22 spectral bands spanning the visible, near-infrared, shortwave infrared, and thermal infrared, the system captures subtle changes in terrain, infrastructure and surface conditions. This enables AI models to detect real change, not artifacts introduced by inconsistent collection conditions. The result is a fundamentally different data foundation for AI: one that supports continuous monitoring, scalable automation, and forward-looking Earth intelligence designed to support governments and enterprises operating in complex, high-impact environments. "We look forward to partnering closely with this established and highly respected leader in US defense and intelligence technology," said Don Osborne, "it is a strong validation of both their mission and the quality of our data." About EarthDaily EarthDaily is a global Earth observation company focused on delivering science-grade data and analytics designed for broad-area change detection and decision-centric intelligence. With the upcoming launch of the EarthDaily Constellation, the company is building a foundation for daily, globally consistent Earth intelligence to support governments and enterprises operating in complex, high-impact environments. To learn more, visit earthdaily.com and follow EarthDaily on LinkedIn (@EarthDaily) and X (@EarthDailyA). A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/d3931e2f-a83e-4829-98be-836c0cbf6010
EDGX launches first in-orbit demonstration of its AI computing system on SpaceX Transporter-16
STERNA is EDGX's AI-powered edge computer for satellites with space grade reliability. BRUSSELS, April 9, 2026 /PRNewswire/ -- Belgian spacetech EDGX has successfully launched its first in-orbit demonstration of STERNA, an AI-powered edge computer for satellite constellations aboard SpaceX's Transporter-16 mission. With two hosted payloads now in orbit, EDGX enables real-time data processing directly in space, a critical capability for next-generation satellite constellations across commercial, governmental, and defence applications. Through STERNA, the company brings high-performance, NVIDIA-based processing directly onboard satellites, allowing data to be analysed in orbit rather than relying solely on ground infrastructure. STERNA is an NVIDIA-powered computing platform, designed to run high-performance workloads directly in orbit. Engineered for real in-orbit constraints, it dynamically scales power between 10W and 45W, ensuring continuous data processing under varying power and thermal conditions. The system is designed for long-term reliability, with a target operational lifetime of 7 years in orbit. The news is a key milestone for Europe's space-based computing infrastructure and follows a €2.3 million seed funding round in June 2025. Commenting on the news, EDGX CEO Nick Destrycker said: "This launch marks a key milestone for EDGX and for Europe's position in space-based computing. By bringing high-performance compute directly into orbit, we're enabling satellites to move from data collection platforms to real-time decision-making systems. Our focus is simple: deliver reliable, scalable compute infrastructure in space, and this mission is the first step. "We believe the next phase of the space industry will be defined by compute in orbit. This mission is the first step in building that infrastructure, turning satellites into intelligent, software-defined systems capable of processing data where it is generated." By bringing NVIDIA-class compute performance into space, EDGX enables a new generation of software-defined satellites capable of running advanced AI workloads, from Earth observation analytics to real-time signal intelligence, directly where the data is generated. This reduces latency, cuts bandwidth usage, and supports faster decision-making for operators on the ground. This capability eliminates the traditional bottleneck of sending massive raw datasets to Earth for processing, enabling satellite operators to deliver faster, more efficient, and data-driven services. In defence scenarios for example, this translates into a real operational advantage: reducing the time between detection and action on the battlefield.
John Stezaker Demands Our Attention in "Orderly Chaos" at Gray | Newcity Art
In the current exhibition at Gray, British artist John Stezaker turns the world on its head, literally. His collages are sometimes vertiginous, sometimes startling, always fascinating, and in our political climate, remarkably prescient. Stezaker, who works in series, has sourced his material for this body of work, titled "Raft," from nineteenth-century British books in his extraordinary archive. For almost sixty years, he has collected and worked with vintage materials from various printed sources, in this case, the Victorian period in the U.K. The pieces are small and jewel-like, mounted and simply but perfectly framed in narrow black, reminiscent of cases used by jewelers to display their most priceless gems. That is not to say that this work is precious -- it has a great deal of weight and meaning. Stezaker imbues each piece with a complete story which may read differently to each viewer, but this is not work to glance at and walk on, it's fully engaging and each mystery demands our full attention. The images, in their original book form, conveyed pastoral beauty and the tidy ideals of towns, cities, bridges and the sea. Stezaker cuts and pairs them, creating a false and intriguing new "horizon" line, and placing one right side up and the other upside down, constructs fantastical, dreamlike landscapes. For example, in one piece, a hillside town is matched to a cathedral, reversed on the bottom so that it appears to be a mass of stalactites or the roots of an ancient tree, growing beneath the ground as if supporting the village from below. In another, buildings line a bridge similar to Florence's Ponte Vecchio, but reversed over the heads of the pedestrians on the bridge are two wide streets with their own buildings. The two sets of buildings merge into a single city block, an Escher-like trompe l'oeil. As you study the piece more closely, you realize that half of the buildings are actually upside down, but the grids of windows provide a sense of normalcy. In many of the pieces, it's all but impossible to make out exactly where Stezaker has seamlessly joined the two pieces together, adding to the surreal perplexity the work creates. Some have roads that come from or go to nowhere, or reflections in water that look nothing like what is on the land. In one, a group of men on hands and knees appear to be repairing or spreading out rugs on the ground before a river that seems to be held back by a weak wooden dam. It is this sense of impending doom that gives some of Stezaker's work its power. In a wonderful piece, aptly titled "Underworld," Victorians stroll along a wide pier, while overhead, a boardwalk is cluttered with people -- the edge of the upper ocean crosses on a diagonal, meeting the edge of the lower pier in a trick of perspective. Nothing is what it seems in this beguiling exhibition, but each and every piece is a nod to the brilliance of its creator. John Stezaker "Raft" at Gray, 2044 West Carroll through June 13
Severe M50 delays due to fuel protest as traffic chaos continues across Dublin
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EDGX launches first in-orbit demonstration of its AI computing system on SpaceX Transporter-16 | Weekly Voice
STERNA is EDGX's AI-powered edge computer for satellites with space grade reliability. BRUSSELS, April 9, 2026 /PRNewswire/ -- Belgian spacetech EDGX has successfully launched its first in-orbit demonstration of STERNA, an AI-powered edge computer for satellite constellations aboard SpaceX's Transporter-16 mission. With two hosted payloads now in orbit, EDGX enables real-time data processing directly in space, a critical capability for next-generation satellite constellations across commercial, governmental, and defence applications. Through STERNA, the company brings high-performance, NVIDIA-based processing directly onboard satellites, allowing data to be analysed in orbit rather than relying solely on ground infrastructure. STERNA is an NVIDIA-powered computing platform, designed to run high-performance workloads directly in orbit. Engineered for real in-orbit constraints, it dynamically scales power between 10W and 45W, ensuring continuous data processing under varying power and thermal conditions. The system is designed for long-term reliability, with a target operational lifetime of 7 years in orbit. The news is a key milestone for Europe's space-based computing infrastructure and follows a €2.3 million seed funding round in June 2025. Commenting on the news, EDGX CEO Nick Destrycker said: "This launch marks a key milestone for EDGX and for Europe's position in space-based computing. By bringing high-performance compute directly into orbit, we're enabling satellites to move from data collection platforms to real-time decision-making systems. Our focus is simple: deliver reliable, scalable compute infrastructure in space, and this mission is the first step. "We believe the next phase of the space industry will be defined by compute in orbit. This mission is the first step in building that infrastructure, turning satellites into intelligent, software-defined systems capable of processing data where it is generated." By bringing NVIDIA-class compute performance into space, EDGX enables a new generation of software-defined satellites capable of running advanced AI workloads, from Earth observation analytics to real-time signal intelligence, directly where the data is generated. This reduces latency, cuts bandwidth usage, and supports faster decision-making for operators on the ground. This capability eliminates the traditional bottleneck of sending massive raw datasets to Earth for processing, enabling satellite operators to deliver faster, more efficient, and data-driven services. In defence scenarios for example, this translates into a real operational advantage: reducing the time between detection and action on the battlefield. Photo - https://mma.prnewswire.com/media/2953056/STERNA.jpg Logo - https://mma.prnewswire.com/media/2746930/5908277/EDGX_Logo.jpg
SpaceX satellites would outshine the stars | The Narwhal
More than 10,000 Starlink satellites currently orbit the Earth. We see them crawling across dark skies, no matter how remote our location, and streaking through images from research telescopes. SpaceX recently announced that it wants to launch one million more of these satellites as orbital data centres for artificial intelligence computing power. A few years ago, we wrote a paper predicting what the night sky would look like with 65,000 satellites from four planned megaconstellations: SpaceX's Starlink, Amazon's Kuiper (now Leo), the U.K.'s OneWeb and China's Guowang. We calibrated our models to observations of real Starlink satellites and came up with a startling prediction: One in 15 visible points in the night sky would be a satellite, not a star. A million satellites would be so much worse. The human eye can see fewer than 4,500 stars in an unpolluted night sky. If we permit SpaceX to launch these satellites, we will see more satellites than stars -- for large portions of the night and the year, throughout the world. This will severely damage the night sky for everyone on Earth. SpaceX's proposal also completely fails to account for atmospheric pollution, collision risk or how to develop the technology needed to disperse waste heat from orbital data centres. SpaceX has filed its million-satellite proposal to the United States Federal Communications Commission and has only provided bare-bones information about these new satellites so far. We do know that the proposed constellation will have satellites in much higher orbits, making them visible for longer periods of the night. We decided to build an updated simulation, using the website of astrophysicist Jonathan McDowell. This includes a set of orbits consistent with the limited information in SpaceX's filing. We used the observed brightness of Starlink satellites as a reference, scaling the brightness model by considering size jumps between Starlink V1, V2 and predictions for V3, and assuming even higher complexity and power requirements. There are many factors we don't know anything about, so there is some uncertainty in the brightness we predict. In the figure above, each grey circle shows a simulation of the full night sky, as seen from latitude 50 degrees north at midnight on the summer solstice. The left circle shows the night sky with SpaceX's orbital data centres, and the right shows the night sky with 42,000 Starlink satellites for comparison. The coloured points show the positions and brightness of satellites in the sky, with blue the faintest and yellow the brightest. Below each all-sky simulation we list the number of sunlit satellites in the sky and the number of naked-eye visible satellites, with tens of thousands predicted for SpaceX's orbital data centres. Each of our simulations shows there will be more visible satellites than stars for large portions of the night and the year. It is hard to overstate this. Should a million new satellites be launched, in the orbits and with the sizes proposed, the stars we are able to see at night would be completely overwhelmed by artificial satellites -- throughout the world. This does not even account for additional large satellite system proposals filed to the International Telecommunication Union in recent years by numerous national governments. SpaceX's proposal is that these new satellites will operate as orbital data centres. Data centres on the ground are drawing increasing criticism for the huge amounts of water and electricity they use. In an impressive feat of greenwashing, SpaceX suggests that launching data centres into orbit is better for the environment. This is only true if you ignore all the consequences of satellite launch, orbital operations and re-entry. We can already measure atmospheric pollution from "re-entries" when satellites fall back to Earth. We know that multiple satellites are falling every day and that if they do not fully burn up on re-entry, debris falls on the ground with risk for injury and death. Increasing densities of satellites also drive up collision risks in orbit. And using the atmosphere as a satellite crematorium is changing the atmosphere in ways we don't yet understand. Practically, it is not at all clear whether the proposed orbital data centres are feasible any time soon. To operate data centres in orbit, they would need to disperse huge amounts of waste heat. Despite the greenwashing, this is actually very hard to do in space as they would have to manage the intense radiation from the sun, while cooling the satellite by radiation. SpaceX should know this well: one of the first brightness mitigations they tested for Starlink was "darksat," a Starlink satellite they effectively just painted black. The satellite overheated and the electronics fried. SpaceX has done a lot of engineering work to make its Starlink satellites fainter. They are still too bright for research astronomy, but thanks to new coatings, their brightness has not increased dramatically even as SpaceX has launched larger and larger satellites. SpaceX's proposal for one million artificial intelligence data centre satellites with enormous power requirements does not include any discussion of the co-ordination agreement for dark and quiet skies required by the United States Federal Communications Commission. It feels like a slap in the face after many astronomers have spent years working with SpaceX on ways to mitigate their Starlink megaconstellation and save the night sky. The SpaceX filing does not include exact orbits, the size or shape of satellites or the casualty risk from de-orbiting (other than a vague promise that it won't exceed 0.01 per cent per satellite). It doesn't even include any information on how the company plans to develop the technology that does not currently exist but is needed to make this plan work. Despite how shockingly little information SpaceX provided, the commission accepted SpaceX's filing and opened the comment period within four days. Astronomers and dark sky advocates worldwide scrambled to write and submit comments in the short four weeks that the comment period was open. The scientific process is slow and careful and it often takes months or years to publish a peer-reviewed result. Companies like SpaceX have stated repeatedly that their method is to "move fast and break things." They are now close to breaking the atmosphere, the night sky and anything on the ground or in space that their satellites and rockets fall on or crash into. Earth's orbital space is a finite resource. There is an evolving set of international guidelines for operating in outer space, grounded in a set of high-level international rules. Yet, those rules and guidelines are inadequate. One corporation based in one country should not be allowed to ruin orbit, the night sky and the atmosphere for everyone else in the world.
EDGX launches first in-orbit demonstration of its AI computing system on SpaceX Transporter-16
STERNA is EDGX's AI-powered edge computer for satellites with space grade reliability. BRUSSELS, April 9, 2026 /PRNewswire/ -- Belgian spacetech EDGX has successfully launched its first in-orbit demonstration of STERNA, an AI-powered edge computer for satellite constellations aboard SpaceX's Transporter-16 mission. With two hosted payloads now in orbit, EDGX enables real-time data processing directly in space, a critical capability for next-generation satellite constellations across commercial, governmental, and defence applications. Through STERNA, the company brings high-performance, NVIDIA-based processing directly onboard satellites, allowing data to be analysed in orbit rather than relying solely on ground infrastructure. STERNA is an NVIDIA-powered computing platform, designed to run high-performance workloads directly in orbit. Engineered for real in-orbit constraints, it dynamically scales power between 10W and 45W, ensuring continuous data processing under varying power and thermal conditions. The system is designed for long-term reliability, with a target operational lifetime of 7 years in orbit. The news is a key milestone for Europe's space-based computing infrastructure and follows a €2.3 million seed funding round in June 2025. Commenting on the news, EDGX CEO Nick Destrycker said: "This launch marks a key milestone for EDGX and for Europe's position in space-based computing. By bringing high-performance compute directly into orbit, we're enabling satellites to move from data collection platforms to real-time decision-making systems. Our focus is simple: deliver reliable, scalable compute infrastructure in space, and this mission is the first step. "We believe the next phase of the space industry will be defined by compute in orbit. This mission is the first step in building that infrastructure, turning satellites into intelligent, software-defined systems capable of processing data where it is generated." By bringing NVIDIA-class compute performance into space, EDGX enables a new generation of software-defined satellites capable of running advanced AI workloads, from Earth observation analytics to real-time signal intelligence, directly where the data is generated. This reduces latency, cuts bandwidth usage, and supports faster decision-making for operators on the ground. This capability eliminates the traditional bottleneck of sending massive raw datasets to Earth for processing, enabling satellite operators to deliver faster, more efficient, and data-driven services. In defence scenarios for example, this translates into a real operational advantage: reducing the time between detection and action on the battlefield. View original content to download multimedia:https://www.prnewswire.com/news-releases/edgx-launches-first-in-orbit-demonstration-of-its-ai-computing-system-on-spacex-transporter-16-302738205.html
EarthDaily Secures Eight-Figure AI-Ready Data Subscription Agreement with US Defense & Intelligence Technology Company
Agreement highlights growing demand for calibrated, consistent data powering AI-driven Earth intelligence VANCOUVER, British Columbia, April 09, 2026 (GLOBE NEWSWIRE) -- EarthDaily Analytics (EarthDaily) today announced it has signed a new eight-figure data subscription agreement with a US Defense and Intelligence Technology Company, reflecting the growing demand for AI-ready Earth observation data built on consistency, calibration, and trust. The agreement provides the customer access to tens of millions of square kilometers of daily images. EarthDaily's analysis-ready data will support the customer's large-scale AI and machine learning workflows. The EarthDaily Constellation is uniquely designed to deliver consistent, repeatable measurement at global scale. By capturing the entire planet every day at the same local solar time and viewing geometry, the constellation imagery provides a stable foundation for AI workflows. This consistency reduces noise in datasets, a key requirement for training, validating, and deploying AI models with confidence. Built as a measurement system first, EarthDaily applies rigorous radiometric and geometric calibration to ensure that data is not only visually accurate, but analytically reliable across time. With 22 spectral bands spanning the visible, near-infrared, shortwave infrared, and thermal infrared, the system captures subtle changes in terrain, infrastructure and surface conditions. This enables AI models to detect real change, not artifacts introduced by inconsistent collection conditions. The result is a fundamentally different data foundation for AI: one that supports continuous monitoring, scalable automation, and forward-looking Earth intelligence designed to support governments and enterprises operating in complex, high-impact environments. "We look forward to partnering closely with this established and highly respected leader in US defense and intelligence technology," said Don Osborne, "it is a strong validation of both their mission and the quality of our data." About EarthDaily EarthDaily is a global Earth observation company focused on delivering science-grade data and analytics designed for broad-area change detection and decision-centric intelligence. With the upcoming launch of the EarthDaily Constellation, the company is building a foundation for daily, globally consistent Earth intelligence to support governments and enterprises operating in complex, high-impact environments. To learn more, visit earthdaily.com and follow EarthDaily on LinkedIn (@EarthDaily) and X (@EarthDailyA). A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/d3931e2f-a83e-4829-98be-836c0cbf6010 CONTACT: Contacts Tanya Cross Vice President, Global Marketing and Communications EarthDaily [email protected] Alliance Advisors [email protected]
CrowdStrike Stock: Anthropic's Project Glasswing Is A Game Changer (NASDAQ:CRWD)
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Moody's integrates credit workflows into Anthropic's Claude platform
Moody's Corporation (NYSE: MCO) and Anthropic announced that Moody's Agentic Solutions will be available natively within Anthropic's Claude environment, including Claude Desktop, Claude.ai, and Claude Enterprise, through a Model Context Protocol application. The integration brings Moody's risk intelligence directly into Claude's AI environment for credit analysis and compliance workflows. At launch, the purpose-built agents will support credit analysis functions including memo generation, peer comparisons, and scorecard assessments, as well as compliance workflows covering entity profiling, ownership structure mapping, adverse media screening, and sanctions checks. The system renders interactive reports directly within Claude through a dedicated MCP integration that connects Moody's intelligence at the protocol level. This allows agents to run natively in the Claude environment and produce outputs without requiring users to switch between systems. "The institutions that will lead in an AI-driven world are those that build on intelligence that can be trusted, defended, and acted upon," said Cristina Pieretti, Head of Digital Content and Innovation at Moody's. Separately, Moody's is deploying Claude Enterprise, Claude Code, and Claude Desktop in its own operations to accelerate product development. The agents are built on Moody's connected intelligence architecture, which spans 600 million entities and 2 billion ownership links. Additional capabilities across risk monitoring and portfolio intelligence are planned for future releases in the Claude environment. The announcement represents the first in a planned series of Moody's agentic workflows for the Claude platform, targeting financial institutions requiring auditable outputs for regulated environments.
Anthropic locked down its most powerful AI Model over cybersecurity fears-then put it to work
Anthropic's most capable AI model has already found thousands of AI cybersecurity vulnerabilities across every major operating system and web browser. The company's response was not to release it, but to quietly hand it to the organisations responsible for keeping the internet running. That model is Claude Mythos Preview, and the initiative is called Project Glasswing. The launch partners include Amazon Web Services, Apple, Broadcom, Cisco, CrowdStrike, Google, JPMorganChase, the Linux Foundation, Microsoft, Nvidia, and Palo Alto Networks. Beyond that core group, Anthropic has extended access to over 40 additional organisations that build or maintain critical software infrastructure. Anthropic is committing up to US$100 million in usage credits for Mythos Preview across the effort, along with US$4 million in direct donations to open-source security organisations. A model that outgrew its own benchmarks Mythos Preview was not specifically trained for cybersecurity work. Anthropic said the capabilities "emerged as a downstream consequence of general improvements in code, reasoning, and autonomy", and that the same improvements making the model better at patching vulnerabilities also make it better at exploiting them. That last part matters. Mythos Preview has improved to the extent that it mostly saturates existing security benchmarks, forcing Anthropic to shift its focus to novel real-world tasks-specifically, zero-day vulnerabilities. These flaws were previously unknown to the software's developers. Among the findings: a 27-year-old bug in OpenBSD, an operating system known for its strong security posture. In another case, the model fully autonomously identified and exploited a 17-year-old remote code execution vulnerability in FreeBSD-CVE-2026-4747-that allows an unauthenticated user anywhere on the internet to obtain complete control of a server running NFS. No human was involved in the discovery or exploitation after the initial prompt to find the bug. Nicholas Carlini from Anthropic's research team described the model's ability to chain together vulnerabilities: "This model can create exploits out of three, four, or sometimes five vulnerabilities that in sequence give you some kind of very sophisticated end outcome. I've found more bugs in the last couple of weeks than I found in the rest of my life combined." Why is it not being released? "We do not plan to make Claude Mythos Preview generally available due to its cybersecurity capabilities," Newton Cheng, Frontier Red Team Cyber Lead at Anthropic, said. "Given the rate of AI progress, it will not be long before such capabilities proliferate, potentially beyond actors who are committed to deploying them safely. The fallout-for economies, public safety, and national security-could be severe." This is not hypothetical. Anthropic had previously disclosed what it described as the first documented case of a cyberattack largely executed by AI-a Chinese state-sponsored group that used AI agents to autonomously infiltrate roughly 30 global targets, with AI handling the majority of tactical operations independently. The company has also privately briefed senior US government officials on Mythos Preview's full capabilities. The intelligence community is now actively weighing how the model could reshape both offensive and defensive hacking operations. The open-source problem One dimension of Project Glasswing that goes beyond the headline coalition: open-source software. Jim Zemlin, CEO of the Linux Foundation, put it plainly: "In the past, security expertise has been a luxury reserved for organisations with large security teams. Open-source maintainers, whose software underpins much of the world's critical infrastructure, have historically been left to figure out security on their own." Anthropic has donated US$2.5 million to Alpha-Omega and OpenSSF through the Linux Foundation, and US$1.5 million to the Apache Software Foundation-giving maintainers of critical open-source codebases access to AI cybersecurity vulnerability scanning at a scale that was previously out of reach. What comes next Anthropic says its eventual goal is to deploy Mythos-class models at scale, but only when new safeguards are in place. The company plans to launch new safeguards with an upcoming Claude Opus model first, allowing it to refine them with a model that does not pose the same level of risk as Mythos Preview. The competitive picture is already shifting around it. When OpenAI released GPT-5.3-Codex in February, the company called it the first model it had classified as high-capability for cybersecurity tasks under its Preparedness Framework. Anthropic's move with Glasswing signals that the frontier labs see controlled deployment-not open release-as the emerging standard for models at this capability level. Whether that standard holds as these capabilities spread further is, at this point, an open question that no single initiative can answer. See Also: Anthropic's refusal to arm AI is exactly why the UK wants it Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is part of TechEx and is co-located with other leading technology events including the Cyber Security & Cloud Expo. Click here for more information. AI News is powered by TechForge Media. Explore other upcoming enterprise technology events and webinars here.
What Do SpaceX, xAI, And X Have In Common? Is It Tesla?
Billionaire Elon Musk surprised lots of people with his quick February merger between SpaceX and his artificial intelligence lab xAI. He is now in the process of adding up to $75 billion to the current estimated $2 trillion-plus SpaceX valuation, and, with the company's initial public offering (IPO) nearly within reach, he is said to want to raise as much as $50 billion more. Consensus has it that, always the showman, Musk is using xAI to position SpaceX's IPO in the best possible light. As if the February melding of Musk companies weren't enough -- SpaceX also has the social media site X in its holdings -- now the speculation is that another merger might be ahead: let SpaceX and Tesla become one! At first glance, it's seems hard to find common ground among a rocket + satellite company, an artificial intelligence upstart, a social media site, and an all-electric car company. Does the plan for One Company to Rule Them All have credibility? Is this another of Musk's whims? An act of foresight? Or desperation? You see, questions remain around the execution timelines and growth visibility of SpaceX, even with the excitement around its IPO. Is Tesla the shining star in the telescope that could hold Musk's tech dreams together? From Recent Merger to IPO There are many reasons that companies look to mergers. A merger is an opportunity to increase the wealth of a company's shareholders. The result can be a synergy that boosts the value of a newly created business entity. There's also the benefit of using a merger to diversify business operations by entering into new markets or offering new products or services -- or even to diversify risks related to the company's operations. The hope is to obtain greater financial capacity that can be employed in subsequent business development. SpaceX emerged in 2002 as a fledgling entry in the aerospace industry and has evolved into a dominant force in the marketplace. CEO Elon Musk holds a 44% stake in SpaceX, which is the largest portion of any investor. He's also the chief technology officer of space exploration technologies. SpaceX will initiate what is sure to be a high-visibility marketing campaign for its IPO with an event in June for 1,500 retail investors. Executives will wine and dine and lavish praise on investors, all-the-while trying to convince them that SpaceX is really worth its valuation. SpaceX generated roughly $15 billion to $16 billion in revenue last year. Its satellite internet service Starlink led the way, but an armful of contracts with the US government for defense and space travel didn't hurt, either. Bret Johnsen, SpaceX's chief financial officer, explained that SpaceX would have opportunities for more innovation with an IPO. "That enables us to ramp Starship to an insane flight rate, deploy AI data centers in space, build Moonbase Alpha, and send uncrewed and crewed missions to Mars -- ultimately increasing the probability of making life multi-planetary in our lifetimes," he outlined. The Thinking behind the Merger of SpaceX and xAI So, how did xAI fit into this SpaceX vision? Musk originally described how the plan to merge SpaceX with xAI would relocate data centers to outer space, where they could flourish with unlimited solar power and lack of regulations. Right now, energy-demanding data centers are dependent on grids that often lack the capacity to support AI. Conger and Ewing of the New York Times question that motivation and suggest, instead, that it has more to do with the science fiction Musk loves. The website for xAI describes the company as "moving toward a future where we will harness our cluster's full power to solve intractable problems. What's one seemingly impossible question you'd answer for humanity?" A vision is a wonderful thing. However, the company reportedly burned through $13 billion last year -- it spent that enormous amount on the infrastructure needed for its products. Musk's xAI, "unlike Meta, Amazon, Microsoft and Google, does not have a cash-generating legacy business to fund its efforts," tech editor Dan Milmo commented in The Guardian. What other assets help these other companies to support their AI prospects? * Alphabet: Google -- searches accrues of billions of dollars; YouTube -- subscriptions; Waymo -- self-driving cars already with locations in several US cities. * Amazon: Online shopping, cloud computing, subscriptions for television and movies. * Microsoft: Personal and business software; LinkedIn -- the work recognition social media site; Activision Blizzard -- video game. Meanwhile, Musk predicted that building data centers in space would become the lowest-cost way to power AI within two to three years. "This cost-efficiency alone," he wrote, as reported by the New York Times, "will enable innovative companies to forge ahead in training their AI models and processing data at unprecedented speeds and scales, accelerating breakthroughs in our understanding of physics and invention of technologies that benefit humanity." Tentative investors do a lot of similar research and may wonder how xAI's cash fragility impacts SpaceX's overall valuation and IPO timeline. They know all about Grok, xAI's chatbot, which is under investigation for generating instances of child sexual abuse material in Dark Web forums. Many potential SpaceX investors may not be able to tolerate Grok's pattern of non-consensual nudification built-in feature, antisemitic tirades, or provocative AI companions. Then, in March, Musk admitted the fundamental problems inherent in xAI. "xAI was not built right first time around, so is being rebuilt from the foundations up," Elon Musk posted on X. "Same thing happened with Tesla." Tesla on the Table? Always mercurial, Musk is now associated with making grand promises that fail to see real results. When SolarCity was facing financial challenges, Tesla swallowed it up, as CleanTechnica editor Zachary Shahan reminds us. Elon Musk was the chair of the Solar City board, and his cousins were the cofounders, CEO, and CTO. The synergies were supposed to help both companies, but Tesla's solar business has declined a great deal since that acquisition. In fact, Solar City has since has fallen behind Sunrun and other companies in the number of installations. Then there's the rollercoaster of Tesla stock, which has plummeted then stabilized slightly this week, due to a confluence of factors. The promised 2025 date for the company's new Robotaxi business, which would cover about 50% of the US population, has come and gone, unfulfilled. Tesla's vehicle sales are weak. The promise for true full self-driving capability has not been realized. Calls for a new model for the masses haven't been answered. The SpaceX IPO may be finding people who've invested in Tesla not as eager to invest in SpaceX. A significant portion of the Tesla consumer and potential consumer base has felt alienated from the Tesla brand, with negative perceptions growing faster than positive perceptions. Key metrics have fallen into worrisome territory, as many former aficionados feel betrayed by Musk's affection for US President Donald J. Trump as well as Musk's support of extreme right-wing groups. Nonetheless, Wedbush analyst Dan Ives has reaffirmed his gut instinct that Tesla and SpaceX will merge in 2027. "Tesla already owns a stake in SpaceX after the company's $2 billion investment in xAI got converted to SpaceX shares following SpaceX's acquisition of xAI earlier this year initially tying both of Musk's ventures closer together but still represents <1% of SpaceX's expected valuation. The recent announcement of a joint Terafab facility between SpaceX and Tesla further ties both operations together making it more feasible to merge operations given the now existing overlap being built out across the two with this the first step." Why would a merger with Tesla make the difference in the SpaceX IPO? It's been evident for a while that Tesla is moving away from its core mission to transition the world to a fully sustainable economy. In its Master Plan 4 iteration, the company says, "We are building the products and services that bring AI into the physical world." An integrated ecosystem of sustainable products, from transport to energy generation, battery storage and robotics, can introduce "a revolutionary period primed for unprecedented growth" for Tesla. By unifying its hardware and software at scale, Tesla says it is not only "creating a safer, cleaner, and more enjoyable world," it is also inviting "sustainable abundance." Musk surprised attendees with an appearance in Davos at the World Economic Forum in March. "We are in the most interesting time in history," he offered. "They're all very difficult technology challenges," Musk conceded, referring to his various companies and their mission statements. "But the overall goal of my companies is to maximize the probability that civilization has a great future." His long term plans are intensely conceived. That's because he holds a unique worldview, obtained through data-driven insights and spurred by intelligent automation. Let's not forget that the Tesla fanbois still love Musk, and the Tesla board upheld his request for an absurd amount of compensation. It's a messy confluence. Elon's antics can't disavow the fact that Tesla has set the standard for transportation's place in a clean energy future. Musk and team anticipated the vertical alignment that would be necessary to be a viable all-electric car company. Could a merger between SpaceX and Tesla achieve the same -- for the heavens?
Anthropic CEO Dario Amodei, Sam Altman seems to so much agree with fears about your latest AI model Mythos that he is 'copying' it
Sam Altman-led OpenAI is reportedly working to bring an AI model with advanced cybersecurity capabilities which it plans to release only to a limited number of companies. The report cited a source familiar with the matter. OpenAI's approach in releasing an AI model for restricted companies mirrors its rival Anthropic that has announced to launch its new AI model Mythos for select companies only. The restricted rollout comes at a time when AI capabilities have reached a critical stage, particularly in areas like autonomy and hacking potential. As a result, developers are becoming more cautious about how these tools are deployed, amid fears they could be misused or cause unintended harm.As mentioned above, OpenAI's approach is similar to rival AI company Anthropic. For those unaware, Anthropic, led by CEO Dario Amodei, recently announced its newest model, Mythos. Launching the new model, the AI company said that the Mythos model will not be released for the public. Instead, it will only be accessible to 11 select organizations, including Google, Microsoft, Amazon Web Services, Nvidia, and JPMorgan Chase. Anthropic cited fears that it is too effective at uncovering high-severity cybersecurity flaws in major operating systems and web browsers.Earlier this week, Anthropic said that it will not release the mythos AI model to the public ever. The AI company said that Mythos was able to break out of a virtual sandbox when prompted, even sending an unexpected email to a researcher as proof of its escape. In another case, the model posted details of its exploit to obscure but public-facing websites without being asked.The company also mentioned that Mythos even rediscovered a 27-year-old vulnerability in OpenBSD, long considered one of the most secure operating systems. Engineers with no formal security trading reportedly asked Mythos to find remote code execution vulnerabilities overnight -- and woke up to complete, working exploits.The rapid growth of powerful AI systems has raised serious concerns among security experts, including former government officials. Over the past year, several experts have warned that in the wrong hands, such AI models could be used to disrupt critical infrastructure, including water systems, power grids, and financial networks.These concerns are no longer theoretical. According to the Axios report, security experts say even if companies limit access to their most advanced models, the broader risk remains. Security experts have also warned that controlling these capabilities may not be possible in the long run. "You can't stop models from doing code enumeration or finding flaws in older codebases," said Rob T. Lee, chief AI officer at the SANS Institute as quoted in the report. "That capability exists now."Adam Meyers, senior vice president of counter adversary operations at CrowdStrike, described these developments as a "wake-up call" for the industry, highlighting the urgent need for stronger safeguards as AI continues to evolve.
Accenture Invests in Replit to Advance AI-Driven Software Development for Enterprises
Accenture has invested, through Accenture Ventures, in Replit, an AI-powered software creation platform company, to help enterprises accelerate the creation of new digital platforms using AI-driven software development. As organizations across industries pursue AI-driven reinvention, the way software is built is beginning to shift. Traditional development cycles -- often slowed by complex environments, infrastructure setup, and lengthy coding processes -- are giving way to AI-native approaches that enable teams to move from idea to working application in significantly less time using natural language prompts and agentic AI -- an approach increasingly referred to as "vibe coding." As part of this partnership, Accenture will collaborate with Replit to explore how AI-driven development can be applied to enterprise environments. The teams will work together to identify practical use cases and new development workflows that can be scaled to Accenture's clients globally. "Every enterprise wants to move faster -- from idea to working application, and from prototype to production," said Ram Ramalingam, global lead for Software and Platform Engineering at Accenture. "Our collaboration with Replit puts that capability in the hands of more teams, breaking down the barriers between business vision and technical execution." Replit provides a cloud-based platform that combines coding environments with AI-powered development assistance, collaboration tools, and hosting infrastructure in a single workspace. With AI agents capable of generating and modifying code from natural language prompts, teams can rapidly build prototypes, iterate ideas, and deploy applications without the traditional complexity of configuring development environments. "Our mission has always been to make software creation accessible to anyone with an idea," said Ghazi Masood, Chief Revenue Officer at Replit. "Partnering with Accenture will allow us to bring AI-driven software development to more enterprises and jointly help teams move from ideas to production faster than ever." By combining Accenture's expertise in scaling emerging technologies for large organizations with Replit's cloud-based software creation platform, this partnership aims to help enterprises adopt AI-driven development safely while integrating it into existing engineering practices and technology ecosystems. Terms of the investment were not disclosed. About Accenture Accenture is a leading solutions and services company that helps the world's leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed across the enterprise, bringing together the talent of our approximately 786,000 people, our proprietary assets and platforms, and deep ecosystem relationships. Our strategy is to be the reinvention partner of choice for our clients and to be the most client-focused, AI-enabled, great place to work in the world. Through our Reinvention Services we bring together our capabilities across strategy, consulting, technology, operations, Song and Industry X with our deep industry expertise to create and deliver solutions and services for our clients. Our purpose is to deliver on the promise of technology and human ingenuity, and we measure our success by the 360° value we create for all our stakeholders. Visit us at accenture.com. About Replit Replit is the agentic software creation platform that enables anyone to build applications using natural language. The company, founded in 2016, has over 50 million users worldwide, including users at 85% of the Fortune 500 companies. Teams at enterprises including Atlassian, Adobe, Databricks and Zillow use Replit to build apps, and the company has partnerships with Google, Stripe and Slack among others. Replit, headquartered in San Francisco, United States, recently introduced Agent 4, its most powerful product yet. For more information, visit https://replit.com/. Copyright 2026 Accenture. All rights reserved. Accenture and its logo are registered trademarks of Accenture. View source version on businesswire.com: https://www.businesswire.com/news/home/20260409125745/en/
