Ensuring zero-trust principles and verifying that devices and GPUs are free from side-channel attacks is essential to ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

More than $1.6 trillion in annual transactions across 180M US consumers, made liquid and ratable via Carbon Arc for business intelligence or AI models NEW YORK--(BUSINESS WIRE)--Facteus, the #1 ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

Oct 1 (Reuters) - Bristol Myers Squibb (BMY.N), opens new tab, Takeda Pharmaceuticals (4502.T), opens new tab and Astex Pharmaceuticals are coming together to share proprietary data for training an ...

To feed the endless appetite of generative artificial intelligence (gen AI) for data, researchers have in recent years increasingly tried to create "synthetic" data, which is similar to the ...

Energy is the largest operational expense for terrestrial data centers, often accounting for 40% to 60% of annual costs. Hyperscale facilities can spend $5 to 10 million per year on electricity alone.

Forests are key regulators of the Earth’s carbon and water cycles, yet their resilience is increasingly challenged by global warming, recurrent heatwaves, ...

Floods account for up to 40% of weather-related disasters worldwide, and their frequency has more than doubled since 2000, according to a recent report from the United Nations Office for Disaster Risk ...