In an era where artificial intelligence drives critical business decisions, Nikhil Dodda emphasizes that maintaining machine learning model performance is as crucial as building them. Model deployment ...

For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...

During a talk given at the recent CEDEC event in Yokohama, Japan, development leads within Sony discussed their recent efforts to implement AI and machine learning models to improve efficiency and ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...

It's notoriously difficult to consistently measure the energy usage of AI models, but DARPA wants to put an end to that uncertainty with new "energy-aware" machine learning systems. … The Mapping ...

When experiments are impractical, density functional theory (DFT) calculations can give researchers accurate approximations of chemical properties. The mathematical equations that underpin the ...

What if the key to unlocking faster, more efficient machine learning workflows lies not in your algorithms but in the hardware powering them? In the world of GPUs, where raw computational power meets ...