AI safety
New research proposes integrating actions, compositional structure, and episodic memory from neuroscience to build safer, more interpretable AI systems that could transform how we approach AI trustworthiness.
AI safety
Researchers introduce DarkPatterns-LLM, a multi-layer benchmark designed to identify and evaluate manipulative behaviors in large language models, advancing AI safety and authenticity research.
AI Governance
Researchers propose comprehensive framework for governing agentic AI systems, mapping capabilities to risks and establishing safety protocols as autonomous agents become more prevalent.
AI Detection
Research reveals significant limitations in human ability to detect AI-generated images, raising critical questions about synthetic media verification and the future of visual authenticity.
Multi-Agent AI
A comprehensive technical guide to building production-ready multi-agent AI systems using CrewAI for agent orchestration, LangGraph for workflow graphs, FastAPI for APIs, and Docker for deployment.
AI Infrastructure
SoftBank acquires DigitalBridge for $4 billion, adding data center infrastructure to its AI portfolio alongside Ampere and ongoing Stargate investments.
AI Hardware
Groq's Language Processing Unit takes a radically different approach to AI inference, replacing GPU parallelism with deterministic compute for predictable, ultra-fast performance.
AI Agents
Learn how to implement comprehensive monitoring for AI agents using MLflow's tracing capabilities, from single-agent tracking to multi-agent orchestration patterns.
LLM Inference
A deep dive into LLM inference server architecture reveals the critical optimizations enabling real-time AI applications, from batching strategies to memory management techniques.
data provenance
New research proposes a Compliance Rating Scheme that evaluates generative AI datasets for licensing, consent, and ethical sourcing—critical infrastructure for accountable synthetic media.
AI Agents
New research proposes multi-agent deliberation framework where AI agents debate decisions before acting, generating human-readable rationales that improve transparency and reduce harmful behaviors.
synthetic data
New research explores how reinforcement learning can optimize synthetic data generation, with implications for training more capable AI video and media generation models.