Creating realistic 3D models for applications like virtual reality, filmmaking, and engineering design can be a cumbersome ...

In 2017, MIT researchers succeeded in creating a chip that can run neural network calculations, but there were some notable ...

The Massachusetts Institute of Technology Center for Transportation & Logistics(MIT CTL) and intralogistics group Mecalux ...

Identifying optimal catalyst materials for specific reactions is crucial to advance energy storage technologies and ...

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 ...

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 ...

Data is the lifeblood of AI, yet organizations frequently grapple with fragmented, inconsistent, or incomplete datasets. A ...

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 ...