In this episode, senior researcher Hongxia Hao (opens in new tab), and physics professor Bing Lv (opens in new tab), join host Gretchen Huizinga to talk about how they are using deep learning techniques to probe the upper limits of heat transfer in inorganic crystals, discover novel materials with exceptional thermal conductivity, and rewrite the rulebook for designing high-efficiency electronics and sustainable energy.

DataRobot, the provider of AI that makes business sense, today introduced its federal AI application suite, a comprehensive set of agents and custom applications purpose-built for government agencies to deliver mission-critical AI in high-security environments. The new AI application suite enables government agencies to improve efficiency, accelerate output, and reduce overall cost when compared to legacy systems.

Anduril Industries today announced that its Menace family of compute and communications systems is now the preferred hardware platform for all forward-deployed Palantir Edge Software.

Modern battlefield software relies on hardware that can survive and scale in the real world. With Palantir’s stack running natively on Menace systems, government operators get a software-defined solution that’s built to deploy fast, operate anywhere, and integrate with the systems they already use.

We're preparing to do a new community idea-ranking activity later this week. Before we put it up, we want to give everyone an opportunity to share ideas for what we should work on. These ideas may be included in the voting.

If you have time please fill out this survey to share your ideas https://midjourney.typeform.com/to/hHC2JVe8

The pursuit of nuclear fusion as a limitless, clean energy source has long been one of humanity’s most ambitious scientific goals. Research labs and companies worldwide are working to replicate the fusion process that occurs at the sun’s core, where isotopes of hydrogen combine to form helium, releasing vast amounts of energy. While scalable fusion energy is still years away, researchers are now exploring how AI can help accelerate fusion research and bring this energy to the grid sooner.

At Mistral AI, we are continuously pushing the frontier for both open models (Mistral Small, Mistral Large, Pixtral, many others) as well as enterprise models (Mistral OCR, Mistral Saba, Ministral 3B / 8B, and more). All the way from Mistral 7B, our models have consistently demonstrated performance of significantly higher-weight and more expensive models. And today, we are excited to announce Mistral Medium 3, pushing efficiency and usability of language models even further.

The AI revolution faces an invisible barrier: electrical resistance. As artificial intelligence (AI) demands ever-increasing compute, the semiconductor industry has responded by building upward, creating dense 3D architectures that pack more computing power into each square millimeter.  

But this vertical scaling creates an unprecedented engineering challenge: every electrical connection through these towering structures must be perfect at the atomic scale, or AI performance degrades catastrophically. 

The stakes are enormous. 

Intel today announced that it is the only company to achieve full neural processing unit (NPU) support in the newly released MLPerf Client v0.6 benchmark. The result marks the industry’s first standardized evaluation of large language model (LLM) performance on client NPUs. Intel’s measurements of MLPerf Client v0.6 show Intel® Core™ Ultra Series 2 processors can produce output on both the graphics processing unit (GPU) and the NPU much faster than a typical human can read.

Every month, the Arm Editorial Team curates the most impactful Arm innovations from across the company’s ecosystem. April 2025 was no exception and this month’s roundup explores how developers, engineers, and partners are meeting the demands of modern workloads and making life smarter, faster, and more efficient using Arm technology.

In October 2022, Microsoft Research Asia hosted a workshop that brought together experts in computer science, psychology, sociology, and law as part of Microsoft’s commitment to responsible AI (opens in new tab). The event led to ongoing collaborations exploring AI’s societal implications, including the Value Compass (opens in new tab) project.

As these efforts grew, researchers focused on how AI systems could be designed to meet the needs of people and institutions in areas like healthcare, education, and public services. This work culminated in Societal AI: Research Challenges and Opportunities, a white paper that explores how AI can better align with societal needs. 

A reconnaissance team touches down near a fishing village suspected of harboring hostile assets. The terrain is rocky. There’s no infrastructure. All these operators have is a satellite uplink that drops every few minutes, and a jumble of legacy computing and communication gear that takes four people half a day to rig. Nothing works out of the box. While the operators are studying and troubleshooting the network, the window to relay intelligence closes. A high-value target slips through. The team packs up without ever making contact. Mission failed.