Reducing the precision of model weights can make deep neural networks run faster in less GPU memory, while preserving model accuracy. If ever there were a salient example of a counter-intuitive ...

The era of AI evangelism is giving way to an era of rigorous evaluation, as 2026 sees a pivotal shift in how we measure neural network capabilities. Recent breakthroughs in stress testing, including ...

Everything around you is getting smarter. Artificial intelligence is not just a data center application but will be deployed in all kinds of embedded systems that we interact with daily. We expect to ...