In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of two-dimensional memories, systems that can reliably store information despite ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has long been slow, expensive, and heavily empirical. Machine learning is now ...

In essence, PAI is being used for data center optimization to support the demands of digital AI (DAI) applications like ...

Machine design engineers working in the medical device field might draw inspiration from AuraWell’s iterative, ...

In some ways, data and its quality can seem strange to people used to assessing the quality of software. There’s often no observable behaviour to check and little in the way of structure to help you ...

AI isn't a single capability, and "using AI" isn't a strategy. The strategy is to know what we're building, why it matters ...

AI has fundamentally altered how teams think about mobile software, moving the focus from feature accumulation to long-term intelligence.

Self-driving cars did not disappear. They simply slipped out of the spotlight. While attention shifted to generative AI, ...

How will you know your AI agent is ready to launch? Here’s the release-readiness checklist every devops team needs.

The two countries employ 70 percent of the world’s top machine learning researchers, command 90 percent of global computing power, and attract the vast majority of AI investment—more than twice the ...

Here's the case for constraint-aware intelligence in the AI 2.0 era.

In this interview Satinder Pal Singh explains how AWS custom silicon is reshaping AI economics, enabling enterprises to cut ...