Researchers from the University of Tokyo in collaboration with Aisin Corporation have demonstrated that universal scaling ...

The move is a bid to catch up with rivals such as OpenAI, Google and Anthropic after the poor performance of the Facebook ...

Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving ...

We take a deep dive into the inner workings of the wildly popular AI chatbot, ChatGPT. If you want to know how its generative ...

Oceans are facing a multitude of climate-induced stresses including acidification, sea-level rise, warming waters, and ice ...

Interest in neural networks has skyrocketed, leading to more complex architectures and innovative applications. LeCun’s 1989 work, which integrated convolutional networks with backpropagation for ...

The conventional approach to learning to play games involves training neural networks through what is known as deep reinforcement learning, which involves experimenting and tweaking their ...

Advanced Hydro-Informatic Modeling Through Feedforward Neural Network, Federated Learning, and Explainable AI for Enhancing Flood Prediction Abstract: Flood prediction is one of the most critical ...

A tweak to the way artificial neurons work in neural networks could make AIs easier to decipher. Artificial neurons—the fundamental building blocks of deep neural networks—have survived almost ...

The brain is the perfect place to look for inspiration to develop more efficient neural networks. The inner workings of our synapses and neurons provide a glimpse at what the future of deep learning ...