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

Is the inside of a vision model at all like a language model? Researchers argue that as the models grow more powerful, they ...

Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex ...

Against a backdrop of insatiable demand for compute, Web3 principles and technologies offer enterprises transparent, flexible ...

For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...

By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...

Its Super Resolution component is a second-generation upgrade to the 'Transformer' upscaling model introduced with DLSS 4, ...

WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning BEIJING, Jan. 05, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...

We will discuss word embeddings this week. Word embeddings represent a fundamental shift in natural language processing (NLP) ...