InfoWorld

19 large language models redefining AI safety—and danger

Whether you are looking for an LLM with more safety guardrails or one completely without them, someone has probably built it.
IEEE

FLAD: Federated-Trained Large Language Models for Autonomous Driving

Abstract: Large language models (LLMs) have demonstrated advanced capabilities in contextual understanding, multi-modal fusion and cross-domain reasoning, and improved decision-making and planning, ...

What AI Still Can't Do in Financial Services

AI doesn't create bias. It scales existing bias with mathematical precision. When a model trains on decades of credit decisions that reflect historical redlining and discriminatory lending practices, ...
IEEE

Automatic programming via large language models with population self-evolution for dynamic fuzzy job shop scheduling problem

Abstract: Heuristic dispatching rules (HDRs) are widely used for solving the dynamic fuzzy job shop scheduling problem (DFJSSP). However, their performance is highly sensitive to specific scenarios ...
Microsoft

AI as tradecraft: How threat actors operationalize AI

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 ...