Deep learning reveals nanoparticle shape from routine tracking analysis without new hardware

Researchers at the University of Tokyo and the Innovation Center of NanoMedicine (iCONM) have developed an artificial ...

The Web Is Growing A Second Layer – Almost A Third Head

Google shipped two new specs weeks apart. Here's what OKF and ARD actually do, how they differ from LLMs.txt and MCP, and ...
TMCnet

AI-Ready Enterprise Knowledge Graph Market Forecast to Reach USD 6,550.0 Million by 2036 as Enterprise AI Adoption, GraphRAG Infrastructure, and Semantic Data Inte…

According to the latest analysis by Future Market Insights, the AI-Ready Enterprise Knowledge Graph Market is poised for ...
Technology Networks

Deep Learning for Variant Calling: How DeepVariant and Neural Networks Are Improving Genomic Accuracy

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

Four agentic AI memory systems for smarter LLMs

These third-party projects greatly expand the ways agents and LLMs can draw on facts, documents, and conversations to deliver ...
Frontiers

Trustworthy and Resilient AI for Smart Energy Systems: Frontier AI, Reinforcement Learning, and Security

The energy sector is becoming a highly connected cyber-physical ecosystem in which distributed energy resources, electric ...
HackerNoon

The Race to Build AI’s Context Layer Is Really About Meaning

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

Data Scientist Ke Zhang’s Research Explores Homomorphic Encryption for Privacy-Preserving Marketing

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...
Tech Xplore

Geospatial upgrade gives TabPFN sharper local predictions on datasets up to 70,000 rows

A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...
GitHub

hierarchical-graph-machine-learning

Python package realizing Abdul Malik's idea: "Wouldn't [the idea behind the `state_collapser` package] also give a speed-up for [insert favourite model] by such a hierarchical version? A ...
Ars Technica

From folding boxes to fixing vacuums, GEN-1 robotics model hits 99% reliability

Robotic machine-learning company Generalist has announced GEN-1, a new physical AI system that it says “crosses into production-level success rates” on “a broad range of physical skills” that used to ...
techxplore

New graph attention network models higher-order relationships in complex graph data

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...