WHEN A LARGE language model (LLM) gives a cardiologist a poor answer, it is not always the model that is the only problem. More often ...

DSpark can make decoding faster, but acceptance quality still determines how much speed the system actually realizes.

When a standard large language model (LLM) is confronted with a problem, it tries to solve it by matching it to similar information it has seen before, and then give an answer based on those past ...

Microsoft's SkillOpt brings deep-learning discipline to AI agent skills, replacing manual prompt tweaking with mathematically validated text optimization.

In a world where self-driving robotaxis glide through major city streets without drivers behind the wheel and delivery drones ...

Companies are still experimenting with automated AI systems to find security weaknesses, but fewer are relying on the ...

SharpeBench is an open-source benchmark for AI trading agents that ranks real edge, not lucky short-term returns.

The U.S. innovation engine, from the Model T to SpaceX and AI, continues to be a rocket for America's economy. But China is a ...

China’s latest supercomputer ranking has renewed debate over global technology leadership, but current evidence shows the ...

Designing high-performance catalysts is essential for cleaner energy technologies, but the behavior of multi-element modern ...

Large language models can write essays, solve math problems, and generate computer code, but it’s not fully understood how ...

In enterprise AI, the models that win won't be the largest. They'll be the ones that know exactly what they're built for.​​ ...