Apple researchers have created an AI model that reconstructs a 3D object from a single image, while keeping reflections, highlights, and other effects consistent across different viewing angles. Here ...

SAN FRANCISCO – Northern California startup iMetalX Inc. emerged from stealth to announce a collaboration with Psionic, a Hampton, Virginia, company focused on autonomous navigation in GPS-denied ...

In the canals, marshes, and swamps of the Florida Everglades, invasive fish are silently slipping into new waterways. Among them are the Asian swamp eel and the bullseye snakehead, two air-breathing ...

– Leading institutional investors commit $240 million through private investment in public equity (PIPE) led by Perceptive Advisors and RA Capital – – Freenome stockholders, PCSC shareholders and PIPE ...

The original version of this story appeared in Quanta Magazine. Here’s a test for infants: Show them a glass of water on a desk. Hide it behind a wooden board. Now move the board toward the glass. If ...

Advanced fraud detection system using machine learning to identify fraudulent transactions and activities. This project implements multiple machine learning algorithms including Random Forest, XGBoost ...

Researchers at örebro University have developed two new AI models that can analyze the brain's electrical activity and accurately distinguish between healthy individuals and patients with dementia, ...

We’re introducing SAM 3 and SAM 3D, the newest additions to our Segment Anything Collection, which advance AI understanding of the visual world. SAM 3 enables detection and tracking of objects in ...

Creative suite company Canva launched its own design model on Thursday that understands design layers and formats to power its features. The company also introduced new products and features, updates ...

Scientists at the University of Liverpool have developed a new low-cost blood test that could make it easier to detect Alzheimer's disease at an earlier stage—helping patients receive treatment and ...

Abstract: Multiscale object detection in remote sensing imagery poses significant challenges, including substantial variations in object size, diverse orientations, and interference from complex ...