Haoyu Cheng, Ph.D., assistant professor of biomedical informatics and data science at Yale School of Medicine, has developed a new algorithm capable of building complete human genomes using standard ...

Researchers have built AI systems capable of steering targeted brain circuits in real time, moving neuroscience closer to precise, closed-loop control of neural activity. These tools pair machine ...

Lance Fortnow on the current status and future outlook of solving the P-NP problem.

Lived experience functions as a form of data. Every woman has experienced bias and, as a result, becomes more attuned when it bleeds into systems. When women lead AI initiatives, questions about who ...

ABSTRACT: With the widespread integration of high-penetration renewable energy, load volatility and spatio-temporal imbalances in power systems have intensified, imposing higher demands on real-time ...

From movement detection to real-time adjustments, the process shows how robotics mimic natural human motion. Police investigate possible link between Brown University attack and shooting of MIT ...

Meta is giving Instagram users a rare glimpse into why certain posts are showing up on their Reels, the platform’s feed of algorithmically curated videos. Starting today, users will now see a list of ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The accurate treatment of many-unpaired-electron systems remains a central challenge ...

Abstract: Advancements in Multi-access Edge Computing (MEC) and Network Function Virtualization (NFV) offer a lot of potential for providing flexible and low-latency network services at the edge. In ...

Introduction: We present Quantum Adaptive Search (QAGS), a hybrid quantum-classical algorithm for global optimization of multivariate functions. The method employs an adaptive mechanism that ...

Abstract: Computational complexity analysis of an algorithm is an integral part of understanding and applying that algorithm. For stochastic, adaptive heuristics in non-convex optimization, however, ...