Kumo has unveiled KumoRFM-2, a next-generation foundation model designed specifically for structured enterprise data—marking ...

Built on a new architecture KumoRFM-2 achieves state-of-the-art results across 41 predictive tasks and four major benchmarks, ...

AI innovations have long promised productivity at scale, powered by breakthroughs in underlying technologies such as large language models (LLMs), aiding state-of-the-art applications to reason with ...

Enterprise AI startup Kumo is making the case that the next phase of enterprise AI will be shaped by structured and ...

Researchers trained living neuronal networks to perform temporal learning tasks using a machine learning framework. The ...

Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks (GNNs)—AI systems used in applications from drug discovery to weather ...

Boston University’s Yannis Paschalidis was inducted into the AIMBE College of Fellows, an honor recognizing the top two ...

How Physical Intelligence is Redefining Robot Learning In the fast‑evolving world of robotics, a breakthrough announced by the research team ...

Can living neurons replace AI? A new study shows that biological neural networks (BNNs) can be trained to perform reservoir computing. Researcher used rat neurons to generate complex time-series ...

Professor Edith Elkind serves as one of three editors-in-chief for the Journal of Artificial Intelligence Research.

BackgroundFluorescence microscopy is an indispensable tool for observing cellular dynamics and internal structures. To reduce photobleaching and ...