2101 stories tagged AI · page 34 of 88
Researchers improved the Huth encoding-model baseline for fMRI neural language decoding, achieving an 11% relative METEOR gain by expanding voxel selection and using GPT-2 medium as the proposal model. This brings brain-computer interfaces closer to practical use for non-verbal communication.
Researchers developed YUKTI, an AI system that handles uncertainty better by showing when its decisions might be wrong. This could help doctors, managers, and others make safer choices with real-world consequences.
Waze is integrating Google's Gemini AI to enhance its navigation app with personalized trip suggestions and improved voice commands. These updates aim to make your daily commute more efficient and tailored to your preferences.
Researchers found that compressing AI models to make them faster can subtly change how they think, even when their answers seem correct. This could affect everything from chatbots to AI assistants, making some reasoning errors harder to detect.
Scientists have found a way to make AI reasoning more transparent by treating it like a moving object in space. This could help us understand how AI makes decisions in complex tasks.
Researchers developed a way to test AI models using smaller, representative subsets of benchmark prompts. This could make AI evaluation faster and more practical without sacrificing accuracy.
Researchers developed a benchmark to evaluate AI summaries of clinical trials, ensuring they are accurate for doctors, patients, and insurers. This helps prevent misleading information in high-stakes medical decisions.
Researchers developed a new AI system that explains medical diagnoses using a structured argumentation model. This approach makes AI recommendations more transparent and trustworthy for doctors.
Researchers introduced CLIR-Bench, a new benchmark to test AI models on answering clinical questions from irregular, sparse medical data. This could lead to better AI tools for doctors and hospitals.
A group of 26 former Meta employees is suing the company, claiming its AI tools unfairly targeted workers on leave for layoffs. The lawsuit alleges Meta used performance data collected by internal AI to determine which employees to dismiss.
Hachette, Cengage, Elsevier, and other publishers are suing Google, claiming the company trained its AI on copyrighted books and articles without proper authorization. This lawsuit highlights the ongoing legal battles over AI training data and copyright laws.
Researchers found that small tweaks in how questions are asked to AI models can drastically change their performance scores. This means current leaderboards might not be as reliable as they seem. The study introduces two new metrics to measure this effect, helping developers build more consistent AI systems.
Apple has filed a high-profile lawsuit against OpenAI, alleging the AI company misused its trade secrets. The case threatens OpenAI's expensive hardware investments and could complicate its path to an IPO.
A new AI tool called Avatarify can generate personalized 3D avatars from a few photos. This could change how we create digital identities for gaming, social media, and virtual meetings.
New research proposes a system where small, rule-aligned language models and multi-agent self-correction generate and reconfigure industrial control policies from natural-language requirements. A digital twin validates actions before execution, addressing latency and compute constraints of large cloud models.
PlanWright is a new tool that helps manage AI coding agents, making it easier to plan, implement, and review code changes. It logs all decisions and actions, providing full documentation for better collaboration and oversight.
Researchers have created OpenProver, an open-source AI system for automated theorem proving that integrates with Lean 4, a formal verification tool used by mathematicians. It uses a Planner-Worker-Verifier architecture to decompose complex problems and verify solutions.
Researchers created a new test called Long-Horizon-Terminal-Bench to evaluate AI agents on complex, time-consuming tasks. Unlike previous tests, it measures progress over time, not just final results.
Researchers proposed a system to make AI's scientific reasoning transparent. This could help scientists audit AI-generated ideas like they would their own notes. The tool creates a structured record of AI hypotheses and experiments, making it easier to follow the AI's thought process.
Researchers have developed a way to catch AI chatbots when they make up false information. This is especially important for systems that need to provide accurate details, like recommending restaurants or booking appointments.
Researchers have developed a neuro-agentic control framework that combines AI planning with traditional security systems. This could make industrial IoT environments safer by reducing the risk of costly downtime and physical damage from cyberattacks.
Researchers created MedRealMM, a real-world benchmark for medical AI that includes real patient-doctor conversations and medical images. This could lead to more accurate and reliable AI tools for online healthcare consultations.
Researchers created a new test to measure AI's ability to connect clues scattered across long documents. This could improve how AI understands complex real-world information.
Microsoft's CEO has issued a stark warning about the risks of frontier AI labs accessing corporate intellectual property. Companies are being urged to take proactive measures to safeguard their sensitive data.