Researchers took lessons from nocturnal animals to help rescue drones overcome a key challenge: flying in the dark. A drone that can fit in the palm of your hand navigates using two wire "whiskers." After a disaster like a landslide, an earthquake, or a major fire, rescue workers have to locate survivors as soon as possible, and they are increasingly using drones for this critical task--especially ultra-compact drones that can fit into the crevices of a collapsed structure. There are, however, some serious limitations to the technology. Weighing less than a stick of butter, ultra-compact drones don't have as much compute or power capacity as larger models, and this restricts the power of their sensors.

Three engineers put GPT, Claude, and Grok in charge of a real car. Only one of them was successful. Aditya Ramabadran, Simon Mahns, and Tobias Gessler, three AI engineers at a startup called Axiom, recently fancied In-N-Out Burger for lunch. They weren't about to drive themselves, though. Sitting in a 2024 Toyota Corolla near the Bay Area restaurant's drive-thru lane, they opened a laptop and asked OpenAI's GPT-6 Astra to take the wheel.

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Follow this section to personalize your feed and get instant alerts. Follow Go to your personalized feed WHY FOLLOW? Smart Alerts: Get notified about major news as it happens. Follow this tag to personalize your feed and get instant alerts. Follow Go to your personalized feed WHY FOLLOW? Smart Alerts: Get notified about major news as it happens. Follow this author to personalize your feed and get instant alerts. Follow Go to your personalized feed WHY FOLLOW? Smart Alerts: Get notified about major news as it happens. Colin Kaepernick speaks onstage during The Gordon Parks Foundation Awards Dinner and Auction on May 19, 2026 in New York City. Colin Kaepernick speaks onstage during The Gordon Parks Foundation Awards Dinner and Auction on May 19, 2026 in New York City. Follow this author to personalize your feed and get instant alerts. Follow Go to your personalized feed WHY FOLLOW? Smart Alerts: Get notified about major news as it happens. Following a string of high-profile police shootings of Black men 10 years ago, San Francisco 49ers quarterback Colin Kaepernick began protesting such incidents by sitting during the national anthem at preseason games.

Large reasoning models (LRMs), such as OpenAI-o1 and DeepSeek-R1, demonstrate impressive long-horizon reasoning capabilities. However, their reliance on static internal knowledge limits their performance on complex, knowledge-intensive tasks and hinders their ability to produce comprehensive research reports requiring synthesis of diverse web information. To address this, we propose WebThinker, a deep research agent that empowers LRMs to autonomously search the web, navigate among web pages, and draft reports during the reasoning process. WebThinker integrates a Deep Web Explorer module, enabling LRMs to dynamically search, navigate, and extract information from the web when encountering knowledge gaps. It also employs an Autonomous Think-Search-and-Draft strategy, allowing the model to seamlessly interleave reasoning, information gathering, and report writing in real time. To further enhance research tool utilization, we introduce an RL-based training strategy via iterative online Direct Preference Optimization (DPO). Extensive experiments on complex reasoning benchmarks (GPQA, GAIA, WebWalkerQA, HLE) and scientific report generation tasks (Glaive) demonstrate that WebThinker significantly outperforms existing methods and strong proprietary systems. Our approach enhances LRM reliability and applicability in complex scenarios, paving the way for more capable and versatile deep research systems.

Leiden researchers Professor Daniela Kraft and Mengshi Wei have created microscopic robots that move without sensors, software, or external control. Instead, their behaviour emerges entirely from their shape and the way they interact with their environment. This class of robots opens up entirely new possibilities for biomedical applications. Inspiration to build these robots came from nature. Kraft: "Animals like worms and snakes constantly adapt their shape as they move, which helps them to navigate their environments. Macroscopic robots similarly use flexibility for their function. However, until now, microrobots were either small and rigid, or large and flexible. We wondered if we could realize small and flexible microrobots in our lab."

Neural Information Processing Systems http://nips.cc/

Thegoal targetobjectisinthefridge. 4000 steps 3. Set Table: Getabowl (see Fig.19c).