Artificial intelligence has taken the world by storm. In biology, AI tools called deep neural networks (DNNs) have proven invaluable for predicting the results of genomic experiments. Their usefulness ...
A new VS Code extension called Nogic visualizes codebases as interactive graphs and drew strong interest on Hacker News. Commenters praised the concept for understanding large or unfamiliar codebases, ...
Abstract: The prevailing deep learning paradigm, regardless of the specific deep neural network (DNN) architecture or learning algorithm, primarily depends on single-resolution training. In this study ...
Since his return to office, President Trump and his family have engaged in a moneymaking campaign like none in modern American history. A headshot of President Trump sits in the center of a network ...
Abstract: Modern deep neural networks, particularly transformer architectures, have achieved unprecedented performance across various domains through sophisticated mathematical structures that remain ...
OpenAI experiment finds that sparse models could give AI builders the tools to debug neural networks
OpenAI researchers are experimenting with a new approach to designing neural networks, with the aim of making AI models easier to understand, debug, and govern. Sparse models can provide enterprises ...
According to Sam Altman on Twitter, OpenAI has shared insights on understanding neural networks through sparse circuits, offering a practical approach to improve ...
IBM has released an autonomous network solution designed for telecoms and enterprise networks. IBM Network Intelligence, developed in collaboration with IBM Research, combines AI agents with ...
A new international study has introduced Curved Neural Networks—a new type of AI memory architecture inspired by ideas from geometry. The study shows that bending the "space" in which AI "thinks" can ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results