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DeepER-Med introduces AI agents that enhance evidence-based medical research by improving transparency and trustworthiness. The system integrates multi-hop information retrieval and reasoning to accelerate scientific discovery while mitigating errors.
Researchers introduce DALM, a domain-algebraic language model that structures generation into three phases to reduce interference between different knowledge domains. This method could improve accuracy in specialized applications.
Researchers introduce CoLabScience, a proactive AI assistant designed to enhance biomedical collaboration. This innovation addresses the limitations of reactive LLMs by enabling context-aware interventions.
Canada's Federal AI Register, launched in 2025, is more than a transparency tool—it actively shapes accountability. A new study reveals its limitations and biases in tracking AI systems. The register omits key details, raising questions about its effectiveness.
Researchers used Brain Score to evaluate language models trained on diverse languages and structured sequences, finding shared processing properties. The study suggests neural models capture universal linguistic features beyond specific language structures.
Researchers propose a novel approach to optimize LLM agent skills using Monte Carlo Tree Search. This method could significantly improve task performance by systematically refining skill structures and content.
Web Agent Bridge introduces an open-source operating system for AI agents, combining MIT and Open Core licensing. It aims to standardize AI agent development and deployment.
UmaBot is an open-source framework for building multi-agent AI assistants. It leverages LangChain and other tools to enable complex, collaborative AI workflows.
Uber's CTO admits the company is struggling to justify further AI investments despite spending $3.4 billion. The slowdown highlights the challenges of scaling AI initiatives in a tight economic climate.
Researchers introduce Tide, a method for optimizing LLM inference by allowing early exits at the token level. This could significantly reduce computational costs for AI applications.
The 2026 AI stack highlights the leading models and tools shaping the industry. This edition includes major players like OpenAI, Anthropic, and new entrants like Mistral AI.
Tesla has launched its fully autonomous robotaxi service in Dallas and Houston, making Texas the first state with three cities offering the service. This expansion follows the removal of safety drivers in January 2026.
A new study reveals that over-reliance on AI tools can reduce persistence and negatively impact independent problem-solving skills. Researchers warn of potential long-term cognitive effects.
StegoForge is a new tool that embeds and detects hidden data in files using offline AI. It offers a novel approach to steganography with potential applications in cybersecurity and privacy.
A new open-source project called Rigor aims to prevent AI services from degrading over time. It acts as a proxy for OpenCode and Claude Code, grounding projects in an epistemic graph with LLM-based evaluation.
PCMind offers local AI analysis for various data types without cloud dependency. It supports multiple languages and provides real-time insights on personal devices.
Passmark is a new open-source library built on Playwright, designed to simplify AI regression testing. It provides tools for developers to ensure AI models behave as expected over time.
Bill Peebles, the leader of OpenAI's Sora video generation team, is leaving the company. His departure follows OpenAI's decision to deprioritize Sora as part of a broader effort to focus on core initiatives.
OpenAI has released a guide on using ChatGPT to create and refine images through clear prompts. The guide highlights the efficiency and creative potential of AI-driven visual content generation.
OpenAI has launched Projects in ChatGPT, allowing users to organize chats, files, and instructions. This feature aims to streamline workflows and enhance collaboration.