The travelling salesman problem (TSP) remains one of the most challenging NP‐hard problems in combinatorial optimisation, with significant implications for logistics, network design and route planning ...

Abstract: The successive convex approximation (SCA) methods stand out as the viable option for nonlinear optimization-based control, as it effectively addresses the challenges posed by nonlinear ...

Of course, this is all a joke. Santa Claus is wise and kind; he knows that matters in gifts is the effort, not the object. Using A.I. to make it easy to give Christmas presents would be as ...

Black holes are among the most extreme objects in the universe, and now scientists can model them more accurately than ever ...

由阿里妈妈牵头，联合北京大学、MIT、CMU等全球顶尖高校发起的专题研讨会 —— 「AI for Mechanism Design and Strategic Decision Making」（简称AIMS），在激烈的竞争中脱颖而出，正式通过评审。

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

When you create an algorithm, you need to include precise, step-by-step instructions. This means you will need to break down the task or problem into smaller steps. We call this process decomposition.

Understanding your heart rate can be helpful to calibrate your perceived exertion, especially on easy and steady runs. This ...

Researchers at The Education University of Hong Kong (EdUHK) have contributed to a study revealing that conventional theories ...

Instagram is introducing a new tool that lets you see and control your algorithm, starting with Reels, the company announced on Wednesday. The new tool, called “Your Algorithm,” lets you view the ...

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