AI tools

Google is taking another step toward AI-powered healthcare with AMIE (Articulate Medical Intelligence Explorer) Video, a research system designed to conduct real-time clinical consultations through video. In a controlled study involving professional patient actors, Google reported that AMIE received clinical evaluation scores comparable to primary care physicians across several important measures. The research explores whether … Read more

Real-time voice AI is moving beyond the traditional pipeline of automatic speech recognition, large language models, and text-to-speech systems. NVIDIA is pushing that transition further with NemotronLabs VoiceChat 11B, an open 11-billion-parameter speech-to-speech model designed for natural, real-time and full-duplex conversations. Unlike a conventional voice assistant that first converts speech into text, sends that text … Read more

Large language models are rapidly changing the way recommendation and retrieval systems work. Instead of relying entirely on traditional embedding-based search and nearest-neighbor indexing, modern generative retrieval systems can use large language models (LLMs) to directly generate identifiers for recommended items. This approach has significant advantages, but it also introduces a major engineering challenge: how … Read more

The pharmaceutical industry is rapidly embracing artificial intelligence, and Novo Nordisk is taking another major step toward integrating AI into drug discovery and research. The Danish healthcare company is expanding its use of Amazon Web Services (AWS) artificial intelligence technologies to support scientific research, target identification, therapy design, biological analysis, and other research workflows. Under … Read more

OpenAI has expanded access to ChatGPT by introducing unlimited text conversations for users on its free plan, removing one of the most noticeable restrictions that users previously encountered when interacting with the AI assistant. The change could make ChatGPT considerably more useful for students, professionals, content creators, freelancers, entrepreneurs, and everyday users who depend on … Read more

Mistral AI has introduced Shieldstral 1.0 3B, an open-weights multimodal safety classifier designed to make AI content moderation more flexible and easier to deploy. Unlike traditional guardrail models that are trained around a fixed set of harmful-content categories, Shieldstral allows developers to define their own moderation policy at inference time using a plain-language yes-or-no question. … Read more

NVIDIA Labs has open-sourced NOOA (NVIDIA Object-Oriented Agents), a model-agnostic Python framework designed to simplify how developers build and manage AI agents. The framework takes a different approach from traditional agent development. Instead of separating prompts, tool definitions, callbacks, state management, and workflow graphs across multiple parts of a project, NOOA brings the core components … Read more

Artificial intelligence is moving beyond software and data analysis and into the field of biological research. A new study from Stanford researchers demonstrates how generative AI could help scientists design entirely new bacteriophages—viruses that infect and destroy bacteria. Researchers at Stanford have synthesized nearly 300 phages from DNA sequences generated by the Evo 2 generative … Read more

Artificial intelligence agents are becoming more capable every day, but traditional web browsers were never designed for them. Browsers like Chromium excel at rendering websites for humans, supporting tabs, extensions, animations, and high-frame-rate graphics. However, AI agents don’t need most of these features. Instead, they require fast access to structured web content, low infrastructure costs, … Read more

Artificial intelligence is reshaping software development, but one area has consistently challenged developers and AI coding assistants alike—creating reliable unit tests. While modern coding assistants can generate test code from a simple prompt, they often fail to understand a project’s structure, testing framework, coding standards, and execution process. As a result, many AI-generated tests either … Read more