Nvidia faces competition from startups developing specialised chips for AI inference as demand shifts from training large ...

Machine learning analysis reveals which metrics drive March Madness seeding and predictive analytics in committee decisions.

Much software may get commoditized away over the next 24 months, pushing value toward hardware and startups operating in the physical world.

There are three common problems people face when working with AI: not understanding how AI made a decision (opacity), the human in the loop becoming over-reliant on AI and falling asleep at the wheel ...

The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and chaotic nature, making its accurate prediction a significant challenge for ...