All 3,125 AI stories, newest first · page 52 of 131
Researchers introduced COrigami, an AI pipeline that co-designs origami crease patterns which are both mathematically flat-foldable and visually recognizable. This bridges the gap between rigid geometric constraints and subjective aesthetics, potentially making computational origami design more accessible.
Researchers introduced ContextForge, a system that helps large language models maintain relevant information across long conversations by recycling context instead of replaying entire histories. This could slash token usage and improve multiturn reasoning.
Researchers developed an AI system that combines official drug data with patient experiences to provide safer, more accurate medication information. This could help people make better decisions about their mental health treatments.
Researchers have developed AlgoEvolve, an AI system that uses large language models to evolve and improve algorithmic trading strategies. This could make trading more accessible and efficient for everyday investors.
Researchers evaluated AI agents on complex energy market tasks, including live data retrieval, regulatory knowledge, and multi-step quantitative reasoning. The study fills a critical gap, with 243 expert-designed tasks showing how tool-augmented LLMs could make energy systems more efficient and responsive.
Researchers introduced TrustMem, a framework designed to improve long-term memory in AI agents. It addresses the problem of AI systems forgetting important information or generating hallucinated content that becomes permanently stored. This could make AI assistants more reliable over extended interactions.
Tabularis is a new open-source desktop app that lets you manage databases with SQL. It also supports AI agents, making database management easier for non-experts. This could change how people interact with databases, especially for those who aren't familiar with SQL.
A new AI model called iLLaDA uses a different approach to understand language, potentially making it more efficient and accurate. This could lead to better AI assistants and tools that understand context more naturally.
Patronus AI, founded by former Meta AI researchers, has raised $50 million to create digital environments for testing AI agents. The company is experiencing near-insatiable demand as enterprises seek to make AI systems more reliable before deployment.
ParseHawk is a new open-source tool that extracts structured data from PDFs and images without needing the cloud. It's designed for developers and businesses that need to process documents locally.
OpenAI will roll out GPT-5.6 in phases instead of all at once, following concerns from the U.S. government. This move aims to ensure safer and more controlled deployment of advanced AI technology.
OpenAI and Broadcom have developed a new chip designed to make AI models like ChatGPT run faster and cost less. This could lead to more powerful and affordable AI tools for everyone.
OpenAI and Broadcom have introduced Jalapeño, a custom AI chip built specifically for LLM inference. The chip aims to improve performance, efficiency, and scalability of AI systems, potentially making AI tools faster and more cost-effective for everyday users.
NVIDIA's new NeMo AutoModel makes customizing AI models faster and easier. It automates the fine-tuning process, which could help businesses and developers create specialized AI tools without needing deep technical expertise.
CtxGov is a new open-source tool that reveals the hidden instructions behind AI agents. It helps users understand how their AI assistants make decisions. This transparency could change how people trust and use AI tools.
AI agents often make mistakes that snowball over time, especially in tasks like persuasion. Researchers found a key reason—semantic leakage in standard RAG—and developed a method called Taxonomic Strategy Retrieval to prevent these compounding errors.
A new practitioner's reference, 'The Hitchhiker's Guide to Agentic AI,' covers the full stack of building autonomous AI systems—from transformer architecture and GPU systems to fine-tuning, model compression, and production deployment.
Researchers developed an AI technique to automatically create highlights for academic papers. This could make scientific research easier to digest for non-experts and improve literature searches.
Researchers developed Heuresis, a framework to help AI agents explore high-quality, diverse, and novel ideas in machine learning. This could speed up scientific progress by making AI research more efficient and creative.
A small group of Wikipedia editors has shown that targeted edits can influence how AI models discuss animal welfare. Their work highlights the power of curated information in shaping AI behavior.
OpenAI's research shows AI agents can now handle longer, more complex tasks, making many jobs more efficient. This could change how we work across various industries.
General Intuition raised $320 million in fresh funding—bringing its total raised to $2.3 billion—to train AI models on millions of hours of video game gameplay, aiming to teach AI something closer to human intuition.
Ford is bringing back 350 quality inspectors after AI tools failed to capture their expertise or train new employees effectively. This highlights the challenges of replacing human knowledge with automation in complex fields.
A former Databricks AI chief has unveiled Un-0, an image-generation system that could slash AI power consumption by up to 1,000 times, making AI more accessible and environmentally friendly.