QuantalX combined transcranial magnetic stimulation and EEG technology in its first-of-its-kind brain network function ...

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, ...