ARC actively researches industrial AI. What Celanese has accomplished is the single best example ARC is aware of employing agentic AI and copilots at scale.

Have you ever wondered how search engines seem to anticipate your every query, how streaming platforms curate playlists that perfectly match your mood, or how online marketplaces magically fill in ...

While newer cloud relational database providers have attempted to mitigate query speed issues by scaling resources to handle ...

Text-to-image technology has made significant progress in the field of general computing, attracting attention from academia, ...

Researchers from Science Tokyo have contributed to an international collaboration that recently published a perspective ...

Originally created by Meta, PyTorch has become an important tool for machine learning and people developing AI models ...

One of the biggest obstacles in multi-institutional EHR research is the inconsistency in medical coding systems across ...

Feature by Walter Sun, Sean Kask, Jonathan von Rueden NORTHAMPTON, MA / ACCESS Newswire / February 12, 2025 / Artificial intelligence (AI) is accelerating at an astonishing pace, quickly moving from e ...

Learn whether a smaller Diffbot’s AI model with an innovative GraphRAG AI training technology can solve AI hallucinations for ...

To alleviate this limitation, we propose a novel framework based on a hybrid graph neural network for few-shot image classification, incorporating deep local features clustering (Cluster-HGNN). This ...

“We are building out a knowledge graph,” said CEO Tarjei Vassbotn in an interview. Tana is a major fast-flowing river in Norway, and Vassbotn said that the startup named itself after it.