Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...

Despite rapid robotic automation advancements, most systems struggle to adapt their pre-trained movements to dynamic ...

Data is from comprehensive review of hospital charges and all-payer claims over five years - - Preventable complications such as amputation and ...

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 ...

Through theoretical derivation, researchers have concluded that a simple linear relationship exists between the reactivity of ...

Nvidia (NVDA) has started rolling out its Nemotron 3 open models, which it contends are the most efficient family of open models for building agentic artificial intelligence applications. Nemotron 3 ...

The ChatGPT-maker is releasing its “best model yet” as it faces new pressures from Google and other AI competitors. OpenAI has introduced GPT-5.2, its smartest artificial intelligence model yet, with ...

Poisoning and manipulating the large language models (LLMs) that power AI agents and chatbots was previously considered a high-level hacking task and one that took a good amount of horsepower and ...

Neurointervention is a highly specialized area of medicine and, as such, neurointerventional research studies are often more challenging to conduct, require large, multicenter efforts and longer study ...

In microbiome studies, addressing the unique characteristics of sequence data—such as compositionality, zero inflation, overdispersion, high dimensionality, and non-normality—is crucial for accurate ...