Latest AI News
This Startup Wants to Fix India’s GPU Shortage by Turning Chips into Real Estate
Compute Labs is building a model in which investors own GPUs and earn from their use across AI workloads.
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Europeans Do Not Trust China, US Tech Companies With Their Data: Survey
A new survey has found that Europeans do not trust Chinese and US-based tech companies when it comes to handling their data. The findings are important at a time when artificial intelligence (AI) companies based out of these two countries have started gaining a user base from across the globe. With individuals in major European countries taking a generally negative outlook towards foreign technology and products, this also becomes an important moment for the EU to bolster homegrown AI technology and push native tools as an alternative.
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PhysicsWallah, Microsoft to Offer AI Courses Across Tier-2, 3 Cities
The programmes will be delivered through PW Skills and will integrate tools such as Microsoft Copilot, GitHub, and Microsoft Office 365.
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How AI is Forcing Data Centers to Trade Uptime for Raw Power
As AI diversifies into training, inference, and hybrid workloads, operators are abandoning the one-size-fits-all approach for data centre infrastructure.
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The Tech Players Powering India’s Predictive Police Push
Hyderabad Police’s AI deployment comes as city law enforcement agencies increasingly integrate digital intelligence into policing.
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Indian IT Cannot Escape AI Cannibalisation
From TCS to Infosys and HCLTech, firms admit AI is eroding legacy revenues even as new growth builds.
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The largest orbital compute cluster is open for business
For all the hype about data centers in space, there just aren’t very many GPUs up there. As that starts to change, the near-term business of orbital compute is starting to take shape. The largest compute cluster currently in orbit was launched by Canada’s Kepler Communications in January, and boasts about 40 Nvidia Orin edge processors onboard 10 operational satellites, all linked together by laser communications links. The company now has 18 customers, and announced its newest on Monday — Sophia Space, a startup that will test the software for itsunique orbital computeronboard Kepler’s constellation. Experts expect that we won’t see large-scale data centers like those envisioned by SpaceX or Blue Origin until the 2030s. The first step will be processing data that is collected in orbit to improve the capabilities of space-based sensors used by private companies and government agencies. Kepler doesn’t see itself as a data center company, but as infrastructure for applications in space, CEO Mina Mitry tells TechCrunch. It wants to be a layer that provides network services for other satellites in space, or drones and aircraft in the sky below. Sophia, on the other hand, is developing passively-cooled space computers that could solve one of thekey challengesfor large-scale data centers in orbit: keeping powerful processors from overheating without having to build and launch heavy, expensive active-cooling systems. In the new partnership, Sophia will upload its proprietary operating system to one of Kepler’s satellites and attempt to launch and configure it across six GPUs on two spacecraft. That sort of activity is table stakes in a terrestrial data center, and this is the first time it will be attempted in orbit. Making sure the software works in orbit will be a key de-risking exercise for Sophia ahead of its first planned satellite launch in late 2027. For Kepler, the partnership helps prove the utility of its network. Right now, it is carrying and processing data uploaded from the ground, or collected by hosted payloads on its own spacecraft. But as the sector matures, the company expects to start linking up with third-party satellites to provide networking and processing services. Mitry says satellite companies are now planning future assets around this model, pointing to the benefits of offloading processing for more power-hungry sensors, like synthetic aperture radar. The U.S. military is a key customer for that kind of work as it develops a new missile defense system predicated on satellites detecting and tracking threats. Kepler has already demonstrated a space-to-air laser link in a demo for the U.S. government. That kind of edge processing — dealing with data where it is collected for faster responsiveness — is where orbital data centers will initially prove their value. That vision sets Sophia and Kepler apart from established space companies like SpaceX andBlue Origin, or startups likeStarcloudandAetherfluxthat are raising significant capital to focus on large-scale data centers with data center-style processors. “Because we have the belief it’s more inference than training, we want more distributed GPUs that do inference, rather than one superpower GPU that has the training workload capacity,” Mitry told TechCrunch. “If this thing consumes kilowatts of power and you’re only running at 10% of the time, then that’s not super helpful. In our case, our GPUs are running 100% of the time.” And once these technologies are proven in orbit, well, anything can happen. Sophia CEO Rob DeMillo points out that Wisconsin adopted a ban on data center construction last week, something some lawmakers in Congress are also pushing. Anything that limits data centers on Earth is, in their eyes, making the space-based alternative more attractive. “There’s no more data centers in this country,” Demillo mused. “It’s gonna get weird from here.”
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Accenture Invests in Replit, Partners to Scale Vibe-Coded Software
Replit offers a cloud-based platform that integrates coding environments, AI-assisted development, collaboration tools, and hosting.
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Is India Ready for Drone Warfare? The Weakest Link is the Obvious
With the use of drones in the conflicts in Ukraine and West Asia, India is now stepping up its defence adoption.
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Ramp’s AI Coworker Turns Employee Workflows Into Reusable Skills
“When one person on a team figures out a better workflow, everyone on that team gets it and gets more productive.”
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New Research Finds Seven ‘Deadly’ Vulnerabilities in AI Benchmarks
A study from UC Berkeley showed how easy it is to game popular AI model evaluation tests.
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Trump officials may be encouraging banks to test Anthropic’s Mythos model
Treasury Secretary Scott Bessent and Federal Reserve Chair Jerome Powell summoned bank executives for a meeting this week where they encouraged the executives to use Anthropic’s new Mythos model to detect vulnerabilities,according to Bloomberg. Indeed, while JPMorgan Chase was the only bank listed as one of the initial partner organizations with access to the model, Goldman Sachs, Citigroup, Bank of America, and Morgan Stanley are reportedly testing Mythos as well. Anthropicannounced the model this weekbut said it would be limiting access for now, in part because Mythos — despite not being trained specifically for cybersecurity — is too good at finding security vulnerabilities. (Others suggested this washypeor simplya smart enterprise sales strategy.) The report is particularly surprising since Anthropic iscurrently battling the Trump administration in courtover the Department of Defense’sdesignation of Anthropic as a supply-chain risk; that designation came after negotiations fell apart over the company’s efforts to limit how its AI models can be used by the government. Meanwhile,the Financial Times reportsthat U.K. financial regulators are also discussing the risk posed by Mythos.
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