Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

According to the Zhiyin Finance APP, Jieli Trading Treasure (08017) announced that on September 19, 2025, the group officially launched DeepTrade AI Agent (DeepTrade), an AI-driven intelligent trading ...

OpenMind, a company developing an open artificial intelligence operating system for robots, today announced the beta mode ...

After its showcase at the World Humanoid Robot Games, Unix AI has been fielding calls from customers eager to adopt its Wanda ...

Abstract: This paper introduces a distributed multi-robot exploration system that combines bio-inspired flocking dynamics with machine learning-powered connectivity prediction to enable efficient ...

The Cisco Data Fabric and Splunk Federated Search for Snowflake will enable enterprises to unify, analyze, and gain insights from distributed business and machine data. At this week’s Splunk .conf25 ...

Lacson links ex-DPWH chief to flood control projects contractor Archaeologists discover mysterious door inside 4,000-year-old Egyptian tomb Inside China’s AI-Driven Robot Factories Why do flight ...

Every decade in business brings a new buzzword. The 1980s had “re-engineering.” The 1990s, “synergy.” The 2000s, “disruption.” The 2010s gave us “digital transformation.” Today the phrase still ...

VANCOUVER, British Columbia, Sept. 04, 2025 (GLOBE NEWSWIRE) -- via IBN – Fifty1 AI Labs, a subsidiary of Fifty1 Labs, Inc. (OTC: FITY), announces the publication of a landmark technical primer on ...

Abstract: Traditional approaches to motion modeling for skid-steer robots struggle to capture nonlinear tire-terrain dynamics, especially during high-speed maneuvers. In this paper, we tackle such ...