Researchers have developed AdapGNN, a novel model-agnostic framework that addresses the oversmoothing problem in graph neural ...

Multiomics data integration with machine learning has become the standard approach for combining genomic, transcriptomic, proteomic, and metabolomic measurements collected from the same biological ...

Rather than generating text word by word, Google's experimental open-source model drafts entire passages simultaneously using diffusion, resulting in up to 4x faster inference.

Some 40 years ago, physicists noticed certain metals were conducting electricity in a bizarre way no one could explain. New ...

Deep learning variant calling has transformed genomic accuracy. Discover how DeepVariant works, outperforms classical tools, ...

Amazon, a heavy investor in AI, has pioneered a technology it says will make its data centers both more resilient and more power efficient. A 2026 report by Wired shared that Amazon claims the new ...

Abstract: This study proposes LiP-LLM: integrating linear programming and dependency graph with large language models (LLMs) for multi-robot task planning. For multi-robots to efficiently perform ...

Aethryx, led by Dr. Brindha Jeyaraman, has received a 2026 Global Recognition Award for Startup of the Year, recognized for ...

Source: Inspirations in an age of uncertainty | zimbabweland Last year I wrote a ‘long read’ Insights piece for The ...

MTVA READ THE FULL MTVA RESEARCH REPORT Business Update Multiple Presentations for DA-1726 and Vanoglipel at ADA 2026 On June 8, 2026, MetaVia, Inc. (NASDAQ: MTVA) announced the presentation of new ...

The automation giant sees its combination of digital technologies—including AI, digital twins, digital thread and SDA—as the ...

High-impact AI implementations are more likely to treat data architecture, governance, and operationalization as strategic requirements, according to the 2026 Blueprint report from TDWI.