Our session will [offer] insights from both perspectives on how to ensure a sharp, focused investigative process that ...

The concept of network topology aims to describe the interconnectedness of different brain areas more precisely. This is of great relevance in physiology as ...

Perplexity launches Computer, a $200-per-month AI agent that orchestrates 19 models from OpenAI, Anthropic, and Google — ...

Quantum technologies, devices and systems that operate leveraging quantum mechanical effects, could tackle some tasks more ...

Researchers at the University of Tokyo have identified a precise sweet spot where quantum reservoir computing, a machine learning approach that treats quantum systems as computational engines, reaches ...

The use of artificial intelligence (AI) agents, systems that learn to make predictions, generate content or tackle other ...

Stephen Whitelam, a researcher whose work spans thermodynamic theory and machine learning, has described a framework for ...

Today, we know a lot about distance work and how to make it work. Thirty years of federally funded research brought ...

Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...

Microsoft AI CEO Mustafa Suleyman says AI will reach "human-level performance" in white-collar work. He predicts most tasks in that field can be automated within the next 12 to 18 months. Several ...