deep learning

Once the network has been trained, though, things get way, way cheaper. Petersen compared his logic-gate networks with a cohort of other ultra-efficient networks, akin to binary neural networks, which use simplified perceptrons that...

The deep neural network models that power today’s most demanding machine-learning applications...

Diffusion models have emerged as a strong approach in generative AI, producing state-of-the-art leads to image, audio, and video generation. On this in-depth technical article, we'll explore how diffusion models work, their key innovations,...

Foundation models are massive deep-learning models which have been pretrained on an...

Imagine a world where robots can compose symphonies, paint masterpieces, and write novels. This fascinating fusion of creativity and automation, powered by Generative Artificial Intelligence (AI), isn't a dream anymore; it's reshaping our future...

A picture can convey an important deal, yet it can also be marred by various issues comparable to motion blur, haze, noise, and low dynamic range. These problems, commonly known as degradations in low-level...

A whole bunch of robots zip backwards and forwards across the ground...

Possibly you'll be able to’t tell a book from its cover, but based on researchers at MIT chances are you'll now find a way to do the equivalent for materials of all sorts, from...