In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of ...

Over the last several decades, urban planners and municipalities have sought to identify and better manage the socioeconomic ...

IMSA mentioned machine learning for diagnostics, wireless networking and RFID applications as a potential area for discussion ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

BITS Pilani has launched 2 new courses on AI, Machine Learning and Cybersecurity. The enrolment process is ongoing on official website.

Convicted sex offender Jeffrey Epstein got help from and networked with Russian expatriate tech investors who have drawn ...

A new website called Moltbook has become the talk of Silicon Valley and a Rorschach test for belief in the state of ...

Daytona, the infrastructure company building programmatic, composable computers for AI agents, today announced it has raised $24 million in Series A funding. The round was led by FirstMark Capital, ...

In hopes of providing a better monitoring system for those seeking to mitigate the negative effects of gentrification, ...

Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract invariant features across varied distributions, has ...

Cloud logs can be inconsistent or incomplete, creating blind spots as environments scale and change. Corelight shows how ...

As far as your computer is concerned, it's a fully trusted peripheral. So it sneaks right past detection systems to log ...