Nvidia unveiled Alpamayo at CES 2026, which includes a reasoning vision language action model that allows an autonomous ...

Quantum computers, systems that process information leveraging quantum mechanical effects, could soon outperform classical computers on some complex computational problems. These computers rely on ...

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 ...

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

On November 12, Ray Harishankar, IBM Fellow at IBM Research, appeared on a CNBC interview to discuss how quantum computing is ...

Jensen Huang, NVIDIA, and the World’s Most Coveted Microchip stands apart from most books written about artificial ...

A new architecture replaces traditional bottlenecks with a passive, single-shot light-speed operation that could become the foundational hardware for AGI, scientists argue. When you purchase through ...

Parking is not always an easy task. Sometimes spots are too tight, too small or positioned strangely — not to mention the potential obstacles hindering your perfect parking, like other vehicles, trees ...

California-based startup Subtle Computing is tackling the problem of capturing people’s voices in noisy environments with its own voice-isolation models — a technology that could benefit voice-based ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. We present a transferable, interpretable, and modular machine-learning framework that ...

Cursor’s new Composer model, built for low-latency agentic coding, completes most iterations in under 30 seconds, according to Anysphere. Anysphere has introduced Cursor 2.0, an update to the AI ...

In a new paper, researchers from Tencent AI Lab Seattle and the University of Maryland, College Park, present a reinforcement learning technique that enables large language models (LLMs) to utilize ...