Embeddings transform words, images, and audio into mathematical vectors that AI uses to understand meaning. This core technology powers everything from search engines to deepfake detection systems.
New research proposes proactive memory extraction for LLM agents, moving beyond static summarization to enable more dynamic knowledge retention and recall in autonomous AI systems.
New research introduces domain-to-instance framework for generating synthetic data to help large language models selectively forget harmful knowledge while preserving useful capabilities.
New research quantifies how training data contamination affects generative model benchmarks, revealing critical implications for evaluating deepfake detectors and synthetic media generators.
Researchers introduce GuardEval, a comprehensive benchmark evaluating LLM moderators across safety, fairness, and robustness dimensions—critical metrics for AI content authentication systems.
New research quantifies how LLM agents degrade over extended interactions in multi-agent systems, revealing critical reliability challenges for production AI deployments.
New research combines deep neural networks with Answer Set Programming to generate human-readable explanations for AI decisions, advancing interpretability crucial for detection systems.
New research demonstrates how Sparse Autoencoders can steer LLM reasoning processes, enabling precise control over chain-of-thought behavior without retraining models.
New research introduces an evaluation-driven multi-agent workflow that automatically optimizes prompt instructions for improved LLM instruction following performance.
New research proposes maturity-based certification for embodied AI systems, introducing quantifiable trustworthiness metrics that could reshape how we evaluate AI reliability and authenticity.
Italy's data protection authority issues formal warning to xAI over Grok chatbot's handling of deepfake AI-generated content, signaling increased EU regulatory pressure on synthetic media.
Elon Musk's high-stakes legal battle against OpenAI will be decided by jury in March, with implications for AI governance and the future of frontier AI development.