MIT researchers have developed agile flying microrobots that mimic insects' flight, reaching speeds comparable to biological counterparts. The AI-based controller enables the robot to perform gymnastic flight paths, increasing speed and acceleration significantly.
MIT researchers developed a dynamic approach for large language models (LLMs) to allocate computational effort based on question difficulty, improving efficiency and accuracy. This method allows smaller LLMs to outperform larger models on complex problems, potentially reducing energy consumption and expanding applications.
MIT researchers develop safe control strategies for soft robots to interact with humans and delicate objects. New framework blends nonlinear control theory with physical modeling for “contact-aware safety,” ensuring robots achieve tasks without causing harm.
Massive heat from constant server operation drives increasing power demand in Australian datacentres. Energy use may surpass electric vehicles by 2030, with a projected tripling of power demand in the next five years.
Hundreds of TikTok accounts generate AI content, amassing 4.5bn views in a month, including controversial material. Researchers found 354 accounts posting 43,000 AI-generated videos, covering anti-immigrant and sexualized content.
AI and robotics will transform the world, impacting economy, warfare, and more. Super-intelligent AI could replace humans in controlling the planet.
Silicon Valley faces pushback as consumers rethink upgrades. AI in government shows promise and pitfalls. ChatGPT under fire for dangerous advice.
OpenAI's CEO declares "code red" to enhance ChatGPT amid fierce competition from Google's Gemini 3. The San Francisco-based startup faces a pivotal moment in improving its chatbot technology.
Anthropic's chief scientist warns of AI autonomy's potential 'intelligence explosion' by 2030. Humanity faces a crucial decision on granting self-training power to AI systems, risking loss of control.
AI has become ubiquitous, transforming industries and economies. Beware the risks of creating superintelligent AI, as warned by Yudkowsky and Soares.
Machine learning regression predicts values using metrics like accuracy, MSE, RMSE, and R2. R2 explains model variance, crucial for comparing different regression models like scikit-learn in Python.
The California Gold Rush shaped America's economy and history, attracting thousands in search of fortune. Levi Strauss, a Bavarian immigrant, profited by selling denim overalls to prospectors, leaving a lasting legacy.
NVIDIA expands open-source AI models for researchers at NeurIPS. Introducing Alpamayo-R1, the world's first open reasoning VLA model for autonomous driving, enhancing AV safety and advancing AI reasoning capabilities.
MIT PhD candidate Benjamin Manning explores designing AI agents to act on behalf of people and shape markets. His research aims to accelerate social scientific discovery by simulating human responses with AI, potentially revolutionizing research methods.
Albanese government's AI roadmap prioritizes economic benefits, plans to unlock vast datasets for training AI models. Focus on reskilling workers, boosting datacentre investment, and sharing productivity benefits across the economy.