201 stories tagged Technology · page 8 of 9
Researchers developed a method to simulate more diverse and realistic user interactions, helping AI assistants perform better in real-world scenarios. This could make AI tools like chatbots and virtual assistants more reliable and user-friendly.
Researchers have developed a system called LatentRouter that can choose the best AI model for a specific image-based question before it even answers. This could make AI assistants much more efficient and accurate for visual tasks.
Researchers developed a new method called SOMA to make AI chatbots more efficient. It reduces costs and speeds up responses without sacrificing quality. This could make AI assistants more affordable for everyday use.
OCL Nexus introduces an automated compute layer designed to simplify running AI agents. This could make AI tools more accessible and efficient for everyday users.
Thinking Machines, founded by former OpenAI CTO Mira Murati, is developing 'interaction models' to make AI collaboration feel more natural. This could change how we interact with AI in daily life.
AI systems are now improving other AI systems in a loop, which could accelerate progress. This means AI might soon get smarter faster, but it also raises important questions about control and safety.
Researchers have created a framework called Weblica to help train AI agents on real websites. This tool captures and replays web pages to create stable, interactive environments for AI learning. It could make web agents smarter and more adaptable to the constantly changing internet.
OpenAI has launched DeployCo, a team dedicated to helping companies integrate advanced AI into their operations. This makes cutting-edge AI tools more accessible for businesses of all sizes.
Researchers have proposed a new framework to unify how AI agents remember information, bridging the gap between computer engineering and cognitive science. This could lead to smarter, more reliable AI assistants in the future.
Wispr Flow is seeing rapid growth in India after adding Hinglish support to its voice AI. Despite challenges, the company is betting big on the Indian market.
SpaceX is investing $55 billion to build a massive AI chip factory in Austin, Texas. This could make AI technology more affordable and widely available in the future.
Nvidia has already invested $40 billion in AI startups and companies in 2026. This massive funding push highlights the company's commitment to shaping the future of artificial intelligence.
Elon Musk’s lawsuit against OpenAI is forcing a closer look at the company’s commitment to safety. The case could reshape how AI labs balance profit with ethical goals.
A new AI model called ZAYA1-8B uses a clever design to perform as well as much larger models. It could make advanced AI tools more accessible and affordable for everyday users.
Using AI as a judge for code quality often fails because it lacks real-world context. A new approach combines AI with human-like evaluation for better results. This matters because it could make AI tools more useful for developers.
Researchers have developed an AI system called OncoAgent that helps doctors make better cancer treatment decisions without compromising patient privacy. This dual-tier framework uses multiple AI agents to analyze medical data securely.
Researchers developed FinAgent-RAG, an AI tool that helps answer complex questions about financial documents. It can handle tables, text, and footnotes to provide accurate insights.
Researchers found a way to bypass watermarks on AI-generated text, raising concerns about detecting fake content. This could make it harder to tell if text was written by a human or an AI.
Researchers have developed a new AI memory system called Lossless Context Management (LCM) that handles long texts better than Claude Code. This could make AI assistants more reliable for tasks requiring large amounts of information.
Marc Lore's company, Wonder, is developing AI-powered robotic kitchens that could let anyone create a virtual food brand. This could make starting a restaurant as easy as giving an AI a simple instruction.
Researchers have developed a new method called TUR-DPO to improve how AI models learn from human feedback. This approach rewards the process of how answers are derived, not just the final output, making AI more reliable and less sensitive to noise.
Researchers have developed a new way for robots to plan complex tasks by combining both text and visual reasoning. This could lead to robots that can handle more intricate, real-world jobs. The key is a system called Interleaved Vision-Language Reasoning (IVLR), which helps robots understand both the logical steps and spatial constraints of a task.
A new study introduces AgentFloor, a benchmark to test how well smaller AI models can handle routine tasks. The goal is to see which parts of AI workflows need big, advanced models and which can be done by smaller ones.
OpenAI has shared how they make voice AI respond almost instantly. This matters because faster responses make AI assistants feel more natural and useful in daily life.