A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...

The American Control Conference (ACC), the annual conference of the American Automatic Control Council (AACC), will offer ...

Machine learning systems embed preferences either in training losses or through post-processing of calibrated predictions. Applying information design methods from Strack and Yang (2024), this paper ...

Quantum computing technology is complex, getting off the ground and maturing. There is promise of things to come. potentially changing the computing paradigm.

From subarctic to subtropical, Japan's varied climates present a challenge for energy-saving housing design. Adding the ...

The symmetrical design and flexible fingers mean that the robot can transport objects on either side of its body. For humans, ...

AI’s demand for compute is rapidly outpacing current power infrastructure. According to Goldman Sachs Global Institute, upcoming server designs will push this even further, requiring enough ...

Initially, security was considered outside the scope of the UALink specification, with the assumption that higher layers would address it. However, as the protocol matured, the need for integrated ...

Evolving challenges and strategies in AI/ML model deployment and hardware optimization have a big impact on NPU architectures ...

Leveraging generative AI, WeRide GENESIS can rapidly generate highly realistic virtual worlds, building simulated cities ...

The security system update has become a key step in Galidix development. The use of modern algorithms and compliance with ...