Creative Fabrica Launches ‘Studio Desktop’ to Bring Free, Subscription-Free AI Utilities Directly to Users Computers

Run free AI tools locally on Windows or Mac. Get unlimited background removal, 4x upscaling, image generation, and more ...

Teaching AI the laws of navigation: New physics guided detector catches GNSS spoofing even in never before seen attacks

While machine learning has improved detection, most models fail when confronted with attack scenarios they have never seen before, because they learn data patterns rather than the underlying physics ...
Tech Xplore

New federated learning algorithm enables private, robust, and fast AI development

Three heads are better than one. Versions of this proverb are found worldwide and throughout history. Yet in the race to ...

Fuzheng Liu Examines Transformer-XL Modeling of E-Commerce User Behavior and Real-Time Behavioral Analysis

XL, dynamic interest modeling, and distributed stream computing to analyze large-scale e-commerce user behavior. By improving long-sequence prediction, real-time processing, and behavioral clustering, ...

Study compares machine learning models of raindrop formation

Raindrops form inside clouds when tiny particles of water collide and stick together, forming larger droplets that eventually ...
The Next Web

Entire launches a distributed Git network built for AI coding agents

Entire, founded by former GitHub CEO Thomas Dohmke, has launched a preview of a distributed Git network that mirrors GitHub repos across regions for AI agents.
Blockonomi

5 Leading AI Cryptocurrency Projects Shaping 2026: TAO, NEAR, and RENDER in Focus

Leading AI Cryptocurrency Tokens for 2025. The intersection of artificial intelligence and blockchain technology is ...
RMD Open

Development and assessment of an assisted diagnosis model using machine learning for identifying adult-onset Still’s disease in fever of unknown origin: a retrospective …

Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...
BMJ Open

Implementation determinants of a planned machine learning-enabled surgical scheduling system in a high-volume orthopaedic centre in Canada: qualitative findin…

Objectives Elective non-emergent surgical wait times have increased across countries such as Canada, straining operating room ...
IEEE

Detecting Stealthy False Data Injection Using Machine Learning in Smart Grid

Abstract: Aging power industries, together with the increase in demand from industrial and residential customers, are the main incentive for policy makers to define a road map to the next-generation ...
IEEE

Weighted Average Consensus Algorithms in Distributed and Federated Learning

Abstract: The exponential growth of the Internet of Things (IoT) has created an essential demand for Distributed Machine Learning (DML) systems. In this context, Federated Learning (FL) allows IoT ...