
New AI Research Models How Hospitals Respond to Healthcare Policies
Researchers developed a new AI system to simulate how hospitals react to policy changes. This could help design better healthcare systems by predicting real-world impacts.
1496 stories tagged AI · page 36 of 63

Researchers developed a new AI system to simulate how hospitals react to policy changes. This could help design better healthcare systems by predicting real-world impacts.

Researchers developed an AI approach that lets self-driving cars learn from experts while avoiding dangerous mistakes. The system only asks for help when it's truly uncertain, making it safer to explore new driving situations.

Researchers have created a new benchmark to test how well AI models make clinical decisions. This could help improve AI tools that assist doctors in diagnosing and treating patients.

Meta's AI support chatbot was used by hackers to take over Instagram accounts. The exploit involved tricking the chatbot into changing account emails and resetting passwords. Meta has since fixed the issue.

JetBrains has released Mellum2, a 12-billion-parameter AI model designed to be more efficient and capable. This open-source tool is aimed at developers and researchers looking for advanced AI capabilities.

Researchers found that AI models often prioritize globally dominant narratives over local cultural knowledge. They created a dataset to study this issue in Bengali, showing how AI can misrepresent cultural contexts.

Google's new Gemini Spark AI agent can handle complex tasks, but it comes with a high price and potential privacy concerns. The Verge tested it and found it impressive but not necessarily worth the cost.

Florida has filed a lawsuit against OpenAI and its CEO Sam Altman, claiming ChatGPT's responses contributed to violent incidents. This is the first legal action of its kind targeting an AI company over such allegations.

Researchers propose a new way for AI to automatically gather and prepare its own specialized training data. This could make AI models better at niche tasks without human help. The approach, called 'Autonomous Agentic Data Engineering,' lets AI act as its own data engineer, potentially speeding up customization for fields like medicine or law.

MUFG is integrating ChatGPT Enterprise to streamline operations and create new AI-driven financial services. This move aims to make the bank more efficient and innovative in serving customers.

Meta is working on a wearable AI device shaped like a pendant. This could make AI assistance more accessible and hands-free for everyday tasks.

Hugging Face has launched Delta Weight Sync, a tool that simplifies updating large AI models by only syncing the changes, not the entire model. This saves time and storage space for developers and researchers working with massive models.

Google unveiled major updates to its Gemini AI models, including Gemini Omni and Gemini 3.5 Flash. These advancements bring more powerful, accessible AI tools to everyday users.

Endava uses OpenAI's Codex to transform how it builds software, cutting requirements analysis from weeks to hours. This shift helps teams focus more on innovation and less on manual tasks.

A developer secretly added a prompt injection to the jqwik testing tool that tricks AI coding assistants into deleting their own output. This highlights growing tensions between developers and AI tools. The incident raises questions about trust in software development.

Scott Wu, CEO of Cognition, emphasizes that AI coding agents like Devin are meant to assist developers, not replace them. This perspective highlights the importance of human creativity in programming.

Shift, an AI training startup, is offering free home cleaning services in exchange for recording the process to train future robots. The company will use footage of cleaners scrubbing, vacuuming, dusting, tidying, and washing to improve its AI models.

An AI training company called Shift is offering free home cleaning in exchange for video footage of people doing chores. This is part of a broader trend where tech companies seek real-world data to train their AI models.

Legal experts are pushing for new rules to prevent AI-generated fake cases from being submitted to US courts. This follows incidents where AI tools were used to create fraudulent legal documents. The proposal aims to protect the integrity of the judicial system by requiring verification of submitted materials.

A new analysis reveals that AI-generated text often lacks personal anecdotes and specific details. This can help readers spot AI writing more easily. This insight helps both writers and readers adapt to the AI era.

OpenAI has published a guide for third-party evaluators to assess AI models. This playbook helps ensure models are safe, reliable, and effective for public use.

Nexa-gauge is a new framework that helps developers evaluate AI models more precisely. It allows for detailed, per-node scoring controls, making AI assessments more transparent and customizable.

AI chip startup Groq is raising $650 million to focus on AI inference, the process that makes AI responses faster and more accurate. This move comes after Nvidia’s massive $20 billion deal in the same space.

Enterprise AI search startup Glean tripled its annual revenue to $300M, thanks to its ability to help companies save money. The company is thriving even as larger tech giants enter the AI search market.