Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...
In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of ...
Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could dramatically slash the cost and energy required to develop new lithium-ion ...
Interpretable AI model could offer new insights into why medicines cause certain side effects, helping to improve future drug safety predictions.
When I see self-driving cars, space-based internet coverage anywhere in the world, a push for Mars, robotics and aggressive ...
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 ...
A decade ago, the NFL’s “Next Gen” journey started with hardware. The league embedded RFID chips into every player’s shoulder ...
Many high-performance HEAs used in areas such as aerospace engines, gas turbines, and nuclear power plants employ CRMs such as tantalum, niobium, tungsten, and hafnium. These elements are expensive, ...
AI 2.0 is different and challenges that belief as larger models are proving far less valuable in practice. Rather than ...
Self-driving cars did not disappear. They simply slipped out of the spotlight. While attention shifted to generative AI, ...
In order to build the computers and devices of tomorrow, we have to understand how they use energy today. That's harder than ...