The Infinite Loop by Nebius reports that AI scientists are rapidly developing across disciplines, prompting concerns over research diversity as they may lead to a scientific monoculture.

KBR and Applied Computing are using physics-informed AI to enhance energy efficiency in industrial plants. Traditional industrial operations rely on experienced engineers and controlled processes, but ...

Abstract: Spiking neural networks (SNNs) have exhibited remarkable potential in neuromorphic data classification, especially in processing dynamic vision sensor (DVS) data. However, SNNs still have ...

Abstract: Deep neural networks often suffer from poor performance or even training failure due to the ill-conditioned problem, the vanishing/exploding gradient problem, and the saddle point problem.

A complete walkthrough of implementing the original Attention Is All You Need encoder-decoder Transformer—no torch. nn.Transformer, no shortcuts. The 2017 paper "Attention Is All You Need" by Vaswani ...

This tutorial is the sixth one from a series of tutorials that would help you build an abstractive text summarizer using tensorflow , today we would build an abstractive text summarizer in tensorflow ...

Credit: VentureBeat made with Flux.2 Pro on fal.ai For the last two years, the prevailing logic in generative AI has been one of brute force: if you want better reasoning, you need a bigger model.

Implementation of Hindsight Differentiable Policy Optimization, as described in the paper Deep Reinforcement Learning for Inventory Networks: Toward Reliable Policy Optimization. We argue that ...