In a move that could reshape drug discovery, researchers at Harvard Medical School have designed an artificial intelligence ...

TwinMind, available on Android and iOS, passively captures background audio to gain context and deliver on-the-go summaries.

Context, not content, now drives AI visibility, making structured data the strategic data layer every enterprise must ...

The central business district toll did not lead to a traffic influx in the South Bronx, our columnist reveals.

Tairon connects AI agents with blockchain data through the first on-chain MCP Supergraph, enabling secure, real-time ...

Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional ...

You'll get access to an ad-free website with a faster photo browser, the chance to claim free tickets to a host of events ...

Neo4j also trumpeted the value of graphs as vector databases used in generative artificial intelligence. AI training requires ...

Abstract: Explanations of deep learning fault diagnosis models have been crucial for risk management and subsequent maintenance actions. Furthermore, purely data-driven approaches for fault diagnosis ...

A team of scientists in the United States has combined both spatial and temporal attention mechanisms to develop a new approach for PV inverter fault detection. Training the new method on a dataset ...

A high-performance AI framework enhances anomaly detection in industrial systems using optimized Graph Deviation Networks and graph attention ...

In a 230-page ruling, U.S. District Court Judge Amit Mehta wrote that "the emergence of generative AI has changed the course ...