An interatomic potential is a set of mathematical rules that describes the complex dance of forces between atoms — how atomic ...

How AI, robotics, and modular design are transforming single-cell and spatial biology into scalable, precision-driven engines of discovery.

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

Some dogs, known as label learners, have the ability to learn the names of objects. What gives these dogs this special ...

A generative AI system can now analyze blood cells with greater accuracy and confidence than human experts, detecting subtle signs of diseases like leukemia. It not only spots rare abnormalities but ...

Abstract: Multi-label image classification, which involves recognizing multiple objects within a single image, is a fundamental task in computer vision. Recently, Visual-Language Models (VLMs) have ...

As AI models grow more complex, a new white-collar gig workforce has emerged to review and guide systems. A new category of ...

Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...

By integrating NVIDIA’s digital twins, foundation models and perception AI, Multiply Labs is pioneering a new era of robotic ...

Abstract: Federated learning is an emerging machine learning paradigm that effectively alleviates the data silo problem by distributing the model training process to multiple data holders. However, ...

Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...

Legit at-home jobs are not limited to corporate payrolls or gig apps. Many people now build résumés, portfolios, and ...