Mobile games have traditionally turned to programmatic advertising partners for their effectiveness in achieving ...

Now, scientists from MIT and elsewhere have developed a new photonic chip that overcomes these roadblocks. They demonstrated ...

Artificial neural networks are inspired by the early models of sensory processing by ... This is the same as linear regression, where the two parameters characterizing the line are chosen such ...

To gain insight into these difficult theoretical issues, it has proved necessary to study grossly idealized models that are as different from real biological neural networks as apples are from ...

Some models, such as linear regression, are easily interpretable, but inflexible, in that they don't capture many real-world relationships accurately. Other models, such as neural networks, are quite ...

While linear models tend to be easier to implement and ... new nonlinear dynamical modeling framework based on recurrent ...

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

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

What is the neural code? This textbook for advanced undergraduate and beginning ... It covers classical topics, including the Hodgkin–Huxley equations and Hopfield model, as well as modern ...

Modern artificial intelligence systems rely on deep neural networks (DNNs) that demand immense computational resources.

A photonic chip uses light to run a deep neural network on a chip, enabling fast processors that can learn instantly.