Abstract: Evolutionary multi-task optimization is an emerging research topic in the field of evolutionary computation. It aims to achieve simultaneous optimization of different tasks by dynamically ...

Antibiotic resistance is turning routine infections into life threatening events, and the traditional pipeline for new drugs ...

ROS System, Hospital Drug Delivery Robot, Autonomous Localization, Path Planning, Navigation Simulation Cheng, B. and Zhang, B.Y. (2025) Research on Autonomous Localization and Navigation Simulation ...

Abstract: In this article, we propose a novel wideband grid array antenna (GAA) based on a pseudo-coplanar waveguide (PCPW) configuration. The short side of grid, slots, and shorted parasitic patches ...

The familiar fight between “mind as software” and “mind as biology” may be a false choice. This work proposes biological computationalism: the idea that brains compute, but not in the abstract, symbol ...

WIRED spoke with DeepMind’s Pushmeet Kohli about the recent past—and promising future—of the Nobel Prize-winning research ...

Featuring High-Efficiency Edge AI Computing and Dual-Spectrum Optics to Enable Real-Time and Secure Visual ApplicationsTAINAN ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

When NASA’s free-flying helpers on the International Space Station drifted into trouble, the solution did not come from a new thruster or a last-minute software patch. It came from a virtual copy of ...

An agentic AI-based approach to end-to-end bug resolution using both error logs and waveforms.

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get ...