To learn complex tasks, individuals (human or animal) often decompose them into elementary sub-tasks and learn an execution order for these elementary sub-tasks (also called actions in reference to ...

Many theories and tools abound to aid leaders in decision-making. This is because we often find ourselves caught between two perceived poles: following gut instincts or adopting a data-driven approach ...

Neurotypical humans readily optimize performance in 'reversal learning' games, but while mice learn the winning strategy, they refuse to commit to it, a new study shows. The research provides a ...

As AI evolves from generating information to executing tasks, inference scenarios characterized by coding agents and requiring low latency and high throughput are ushering in the next phase of AI ...

While the tech world obsesses over headlines about the $100 million price tag to train GPT-4, the real economic story is happening in inference: the ongoing cost of actually running AI models in ...

Nvidia is doubling down on what could be the next big battleground in artificial intelligence, inference computing, with the company estimating that its AI chip revenue opportunity could reach at ...