MIT researchers have developed a energy efficient photonic processor that can perform linear and non-linear operations on a ...

MIT researchers developed a photonic processor for AI, achieving high-speed, low-latency, and energy-efficient computations.

The deep neural network models that power today's most demanding machine-learning applications have grown so large and ...

A common challenge for marketers is understanding and engaging with people who have "thin" data profiles, such as donors with ...

As Nous Research continues to refine its methods, the potential applications of this technology—ranging from decentralized federated learning to training diffusion models for image generation—could ...

"The methods make it possible to continuously monitor batteries in the future." Researchers make machine learning ...

With help from AI, MIT scientists developed a method that generates satellite imagery from the future to depict how a region would look after a potential flooding event.

From early experiments to the tools of tomorrow, AI technology has come a long way. The journey has just begun.

MIT researchers have introduced an efficient reinforcement learning algorithm that enhances AI's decision-making in complex ...

And while the Bullfrog isn’t the only counter-drone gun system on the Pentagon’s radar, Simoni believes that the algorithmic accuracy enabled by the turret’s unique machine-learning software ...

The Chinese intelligence agency accused of likely steering vast cyberattacks on the U.S. has made rapid gains in power and profile, driven by leader Xi Jinping and the protégé he put in charge ...