New research from SentinelLABS demonstrates that many AI‑powered malware analysis workflows produce unreliable results when driven by single‑tool large language models (LLMs). The report, published by ...

Social engineering is evolving from Human to Human, to, Human to AI. But are we ready for this new threat? Remember the days ...

LangChain co-founder and CEO Harrison Chase explains why harness engineering — not just smarter models — is what gets AI agents from prototype to production.

The AI industry is obsessed with scale—bigger models, more parameters, higher costs—the assumption being that more always equals better. Today, small language models (SLM) are turning that assumption ...

Chief AI Scientist Josh Joseph and BKC Research Coordinator Seán Boddy address the risks that misalignment and loss of control pose to increasingly complex LLM-based agents. Their paper, available ...

AUSTIN, Texas & OSLO, Norway--(BUSINESS WIRE)--Cognite, the global leader in AI for industry, today announced the launch of the Cognite Atlas AI™ LLM & SLM Benchmark Report for Industrial Agents. The ...

A new learning paradigm developed by University College London (UCL) and Huawei Noah’s Ark Lab enables large language model (LLM) agents to dynamically adapt to their environment without fine-tuning ...

Artificial intelligence has raced ahead in capability, but the question of privacy lingers like a shadow over every large language model (LLM). What happens when models memorise personal data from ...

Modern computing systems rely heavily on operating-system schedulers to allocate CPU time fairly and efficiently. Yet many of these schedulers operate blindly with respect to the meaning of workloads: ...

A new technical paper titled “AutoEDA: Enabling EDA Flow Automation through Microservice-Based LLM Agents” was published by researchers at Duke University and University of Maryland. “Modern ...