Can a neural network be constructed entirely from DNA and yet learn in the same way as its silicon-based brethren? Recent breakthroughs indicate that the answer is affirmative, with a molecular ...

“Over the past decade, deep-learning-based representations have demonstrated remarkable performance in academia and industry. The learning capability of convolutional neural networks (CNNs) originates ...

A new technical paper titled “Optimizing event-based neural networks on digital neuromorphic architecture: a comprehensive design space exploration” was published by imec, TU Delft and University of ...

In an era where artificial intelligence swiftly evolves and redefines the boundaries of possibility, Google DeepMind has once again taken ...

Analog computers, computing systems that represent data as continuous physical quantities, such as voltage, frequency or ...

“Nanos flip the deployment model,” said Liquid AI Chief Executive Ramin Hasani. “Instead of shipping every token to a data ...

NAS methods can generally be classified based on tailored designs from the following aspects: search space, search strategy, and evaluation strategy. In particular, search space can be further ...

An MIT spinoff co-founded by robotics luminary Daniela Rus aims to build general-purpose AI systems powered by a relatively new type of AI model called a liquid neural network. The spinoff, aptly ...

Article reviewed by Grace Lindsay, PhD from New York University. Scientists design ANNs to function like neurons. 6 They write lines of code in an algorithm such that there are nodes that each contain ...