2101 stories tagged AI · page 35 of 88
In a surprising blog post, Microsoft CEO Satya Nadella warned enterprises about the dangers of relying on proprietary AI models from companies like Anthropic and OpenAI, urging businesses to maintain control over their AI systems to avoid vendor lock-in and unforeseen risks.
Researchers created LongMedBench, a new benchmark for AI medical assistants that simulates real-world patient care over time. Built from real EHR data (MIMIC-IV), it evaluates how well AI can handle ongoing treatments, repeated visits, and evolving health conditions.
Researchers have developed a new method called KV-PRM that makes multi-agent AI systems more efficient. This could lead to faster, more capable AI collaborations in complex scenarios. The technique reduces the computational cost of evaluating long interactions, making it practical for real-world applications.
Researchers introduced HALO, a method to enhance existing AI language models with minimal extra computation. It selectively refines responses, improving accuracy without wasting resources.
Researchers developed a new AI planning method called GATS that reduces computational costs and improves reliability by eliminating LLM calls during inference. It could make AI assistants more efficient at complex tasks.
Local governments and residents are increasingly opposing the construction of AI data centers due to their massive energy demands and environmental impact. These protests are growing as tech companies expand their AI infrastructure.
Researchers introduced CogniConsole, a tool that improves AI reliability by managing how tasks are framed and context is selected. This approach shifts focus from model capabilities to better control during interactions.
Researchers introduced ARCANA, a multi-agent AI framework that solves ARC-AGI-2 tasks by iteratively perceiving, hypothesizing, executing, and reflecting. It operates under strict test-time and hardware constraints, using specialized agents to build scene graphs, propose DSL programs, verify candidates, and synthesize failure-driven feedback.
Researchers developed a new AI framework where multiple AI agents debate legal cases, improving accuracy by up to 8%. This approach could make legal analysis faster and more reliable for professionals and the public.
The rapid expansion of AI infrastructure is creating new inflation risks. Companies are spending heavily on AI hardware and data centers, which could push prices higher. This is a shift from the recent trend of falling tech prices.
Researchers developed AgentKGV, an AI framework that improves the accuracy of knowledge graphs by verifying facts. This could make AI systems more reliable for everyday users. The system uses a two-stage training process to identify and correct errors in large-scale data sets.
A new analysis reveals that AI code review benchmarks often test the wrong things, leading to misleading results. This highlights why AI tools still struggle with real-world coding tasks.
Samsung is now requiring users to consent to their health data being used to train AI models to continue using Samsung Health. This raises privacy concerns for many users.
OpenAI has announced that its latest model, GPT 5.6, will be the preferred AI for Microsoft Copilot 365. This move comes amid rumors of a potential breakup between the two tech giants. Despite the speculation, both companies are committed to their current partnership.
OpenAI is focusing on families by hiring a product manager to create experiences for caregivers and older adults. This move highlights how AI is becoming more integrated into daily household routines.
NVIDIA is creating AI models that are optimized to work seamlessly with their hardware. This approach could make AI systems faster and more efficient for everyone.
Meta has pulled a controversial AI feature from Instagram that let users generate images based on others' posts. The company admitted the tool 'missed the mark' after widespread criticism.
Isitsecure is a new open-source tool that scans AI-generated code for security vulnerabilities. It combines static and dynamic testing to help developers build safer applications.
Clem Delangue, CEO of Hugging Face, explains why businesses are shifting from renting AI to using open-source models. This trend is driven by cost savings, greater control, and the ability to customize AI tools for specific needs.
Diego Cabezas shared a clever way to use Fable 5 as an orchestrator with Opus and Codex for complex tasks. This setup can save on Fable usage while leveraging different AI strengths for better results.
Google is introducing labels to show if ads were made or edited with AI on Search, YouTube, and Discover. This change helps users identify AI-generated content in their online experiences.
Apple has filed a lawsuit against OpenAI, claiming that senior leaders at the AI company stole its trade secrets. This legal battle highlights the intense competition in the AI industry and the high stakes involved in protecting proprietary technology.
A new AI tool uses psychological patterns to predict stock movements, particularly in volatile penny stocks. It analyzes how human emotions drive market behavior, offering insights beyond traditional data analysis.
A new project showcases arcade games built entirely by AI, evaluated subjectively to highlight creativity. It's a fun way to see what AI can do in game design without human input.