According to the researchers, the ultimate goal is to build a comprehensive cyber threat intelligence ecosystem for artificial intelligence systems. Such a system would allow security tools to scan AI ...

A cluster of recent research papers describes large language model systems that can identify the real people behind pseudonymous online accounts, not one at a time, but across entire platforms. The ...

Cybersecurity researchers are warning that the foundations of digital trust are under strain as malware grows more adaptive, evasive and collaborative. In response, a team of Romanian scientists has ...

MIT researchers developed Attention Matching, a KV cache compaction technique that compresses LLM memory by 50x in seconds — ...

Atlas Behavioral Health provides structured addiction treatment and recovery support programs for individuals and ...

Abstract: Power amplifiers (PAs) are key components in modern consumer wireless electronics, where compact design, high power efficiency, and excellent linearity are required to guarantee transmission ...

Threat actors are operationalizing AI to scale and sustain malicious activity, accelerating tradecraft and increasing risk for defenders, as illustrated by recent activity from North Korean groups ...

People's decisions are known to be influenced by past experiences, including the outcomes of earlier choices. For over a century, psychologists have been trying to shed light on the processes ...

Sasha S. Rao and Todd M. Hopfinger of Sterne, Kessler, Goldstein & Fox PLLC discuss challenges in meeting patent law's disclosure requirements for inventions involving artificial intelligence, ...

Abstract: The convergence of embedded systems and artificial intelligence has led to the rapid growth of TinyML, which enables ML inference on highly resource-constrained devices. However, deploying ...