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 ...
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 ...
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 ...
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 ...
As far as your computer is concerned, it's a fully trusted peripheral. So it sneaks right past detection systems to log ...
New Scientist on MSN
A social network for AI looks disturbing, but it's not what you think
A social network where humans are banned and AI models talk openly of world domination has led to claims that the ...
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