All 3,125 AI stories, newest first · page 72 of 131
Taiwan Semiconductor Manufacturing Co. (TSMC), the world's largest chip maker, is struggling to meet the surging demand for AI chips. Even with new factories in the US, supply can't keep up with the explosion in AI development. This bottleneck could slow down AI progress for everyone.
Major AI companies, including fierce rivals, have united to warn lawmakers about the risk of AI being used to develop biological weapons. They're calling for stricter regulations to close what they describe as an alarming biosecurity gap.
Major platforms like YouTube, Instagram, and TikTok are automatically tagging AI-generated content. But users still can't fully filter it out of their feeds, and the article argues platforms should give people that power.
Researchers introduced SMAC-Talk, a new AI challenge that tests how well LLM-based agents communicate and coordinate in complex, partially-observable environments. This could help build AI systems that work together effectively in real-world scenarios like disaster response or smart cities.
Researchers developed PEEL, a new framework to improve transparency in AI-assisted research. It combines text analysis tools with AI interpretation to spot distortions in research findings.
OpenAI has released a blueprint for U.S. governance of advanced AI, focusing on safety, resilience, and national security. The proposal outlines a federal framework to manage the risks and benefits of frontier AI technologies.
Researchers propose a way to test AI agents before they go live, ensuring they follow rules, stay safe, and comply with governance standards. This addresses a critical gap in enterprise AI reliability.
Researchers created VAMPS (Visual-Assisted Mathematical Problem Solving), a benchmark to test AI models' ability to solve math problems using visual tools like graphs. This is important because real-world science and engineering often rely on visual aids for problem-solving, and many current AI models struggle when they must use external tools and interpret their visual outputs.
Researchers developed StepPRM-RTL, an AI framework that enhances the accuracy of automatically generating hardware code. This could make designing digital circuits faster and more reliable for engineers.
Microsoft released an open-source tool that lets developers create AI behavior tests using simple text descriptions. This could make it easier to ensure AI systems behave as intended.
A new paper argues emotional support from AI often arises incidentally during routine, task-oriented interactions—not just from dedicated companion chatbots—and this incidental bonding could reshape how people connect with both machines and humans.
Google's new AI agent, Spark, can uncover personal details you never explicitly shared. Hands-on tests show it knew a reporter's dog's name and another's wife's first name — raising questions about whether AI convenience comes at the cost of an unsettling loss of privacy.
Google announced five new commitments to reduce the environmental impact of its AI data centers, including a goal to replenish more water to local communities than it uses. This move aims to address growing backlash over the massive water consumption of AI infrastructure across the US.
NVIDIA's Nemotron 3.5 ASR model can now be fine-tuned for specific languages, accents, or domains. This makes it more accurate for specialized applications like medical or legal transcription.
Endava is integrating AI agents like ChatGPT Enterprise and Codex into their software development process. This shift is making workflows faster and more efficient, setting a new standard for AI-native enterprises.
Researchers have extended Direct Preference Optimization (DPO) to improve AI models beyond just chatbots. This could make AI assistants more helpful and safer across various applications. Researchers open-sourced the code, making it accessible to developers and researchers worldwide.
ChatGPT now has a 'Dreaming' feature that helps it remember your preferences better by reviewing past interactions when idle. This makes interactions more personal and relevant over time. The feature is gradually rolling out to all users, starting with Plus and Enterprise.
Researchers created a benchmark to test if AI agents can handle the labor-intensive task of curating training data for other AI systems. This could drastically speed up AI development by automating a key bottleneck.
Amazon has upgraded its warehouse robot, Proteus, to understand and respond to human language. This shift toward more intuitive automation could change how warehouses operate and interact with human workers.
Amazon’s updated search bar now displays AI-generated images of products as you describe them. This feature currently works for clothing and home goods, helping you find similar items even if the exact product isn’t available.
Researchers found that AI tools are changing how mathematicians formalize and verify proofs. These tools make it easier for humans to turn abstract ideas into machine-checked proofs, speeding up the process significantly.
Researchers argue that disagreements among AI systems might reveal important normative uncertainties, not just errors. They propose a knowledge-representation layer that abstracts reasoning traces and decisions into symbolic disagreement states for value-laden tasks.
ZeroDrift has raised $10 million to develop a service that monitors AI responses in real-time. The tool ensures AI models stay compliant and avoid problematic outputs, acting as a safety net for businesses using AI.
AI systems often act without proper authorization or evidence, a problem called 'compliance bias'. Researchers propose new ways to evaluate when AI should abstain from actions. This could make AI safer and more reliable in real-world use.