During a recent episode of Scientific Controversies, LeCun was asked whether large language models (LLMs) can eventually scale up to achieve AGI or if their limitations are already becoming visible.

Early-2026 explainer reframes transformer attention: tokenized text becomes Q/K/V self-attention maps, not linear prediction.

A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...

Lightricks debuted the model with Nvidia at CES 2026, one of the biggest tech trade shows. Nvidia also showed off a number of AI-powered and next-generation software updates for gamers, including an ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

The Model Context Protocol (MCP) changes this equation. Think of it as the "USB-C for AI." It's an open standard that allows ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...

The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.

A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...

The Tesla Model 3 is the first vehicle built on Tesla's third-generation platform. It aims to reduce the entry price for electric vehicles while not making any compromise on range and performance. The ...

A guide with examples for learning this key idea in options trading Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive ...