UK author M. John Harrison won the Booker Prize on Monday for his enigmatic novel "The End of Everything", which echoes concerns about artificial intelligence in a darkly satirical depiction of post-apocalyptic…
Jensen Huang’s close relationship with president means Nvidia CEO’s affair with woman alleged to be working for Beijing is under intense scrutiny A hand on the back, a kiss on the cheek; the footage of Alice Huang’s interaction with Jensen Huang in a Taipei venue last year does not seem particularly remarkable at first glance. But the Nvidia chief executive’s revelation on Sunday that he had an affair with Ms Huang has given it new significance. Continue reading...
On November 6, Yunshen Technology officially released a new quadruped robot product - Jueying X50. Through a new upgrade of "sensory control fusion" and a high-rigidity and high-response joint system, it achieves a comprehensive breakthrough of greater load, stronger traffic, and more stable posture. Yunshen further expands the boundaries of heavy-duty operations for quadruped robots in extreme environments, solving pain points for high-risk industries such as emergency firefighting and energy and power. Heavy load and traffic have long been a difficult problem for quadruped robots: as the load increases, the fault tolerance space for climbing and descending steps narrows simultaneously. During high-intensity outdoor operations, robot dogs often get stuck in the "last mile" of complex terrain. According to Leifeng.com, the Jueying X50 quadruped robot has comprehensively optimized the joints and overall structure of the robot, increasing the load during continuous travel to 50kg without increasing the size of the body. Under the rated large load state of 50kg, the Jueying X50 quadruped robot can still move forward stably with load when facing complex road conditions such as stair slopes, rugged mountain roads, and gravel roads. It has all-terrain heavy-load capabilities and is capable of undertaking operations on high-intensity and complex terrains. During power inspections, the Jueying X50 robot dog can carry heavy equipment such as hydraulic tools, insulator strings and grounding wire groups, reducing the burden of manual handling and effectively avoiding safety problems such as physical exhaustion, occupational strain, falls and sprains for maintenance personnel; in firefighting tasks, the Jueying X50 robot dog of Yunshencheng Technology can not only carry tens of kilograms of firefighting equipment It is equipped to quickly penetrate into the fire scene, and can also carry fire hoses to carry out continuous water spraying operations, thereby greatly reducing the risk of firefighters working in close and high-risk operations; in emergency rescue, the Jueying X50 robot dog can carry life detectors, demolition tools, medical supplies and other heavy rescue equipment deep into the disaster scene, reaching the core area of the accident within the golden rescue time. At the same time, under a rated load of 50kg, this quadruped robot continues to race at a speed of 3m/s.
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"In the past few months, everyone has been working hard to prove that AI can do more and more work. But to be honest, just because one person can do the work, it does not mean that a group of people can collaborate." An industry insider who has been paying attention to AI office for a long time found that after trying out the mainstream AI office products on the market, there are still some "trouble" that cannot be avoided. The most typical one is that some tasks have to be done manually. "Agent can complete tasks independently, but it is difficult to handle the flow of tasks between people." Sometimes, after AI delivers the results, handing over between people takes more time and effort than the Agent doing the step itself. If AI office wants to fight To B, it must face up to this dilemma. When it comes to AI, companies really care about two things: one is personal productivity, whether AI can do more work for employees; the other is organizational productivity, whether AI can reduce information loss and duplication of work in team collaboration. In the past few months, AI office has overcome many obstacles in personal productivity, but there is still a long way to go in terms of organizational productivity. On November 9, Qianwen Office released version 2.0, launching the industry's first "collaboration" function that supports multi-person collaboration with Agents, and announced on its official blog that it is moving into the Team Agent era. It wants to respond to the above-mentioned problems: How can the enterprise's organizational productivity keep up with the improvement of individual productivity? 01 How to join the team collaboration in "Qianwen Xiao Q"? The domestic AI office craze has lasted for nearly half a year. Product competition in the C-end market is becoming increasingly fierce, while the challenges in the B-end market go far beyond simply selling products to companies. From a product perspective, with the emergence of overseas Personal Agent products such as Muse, Cue, and Dots, the capabilities of personal AI are rapidly being broadened, and enterprise-level AI is also being pushed to higher expectations. AI office factory
Company says schools should control student AI use, but if they block its AI tools, they’ll lose access to search engine Parents and teachers across the US are criticizing Google’s announcement that schools choosing to block AI tools could also lose access to Google Search. Google announced last week a range of new AI tools for schools and classrooms, alongside options allowing teachers and administrators to restrict their use. The company said schools should have control over whether students use AI in the classroom, but that schools that choose to block Google’s AI tools will also lose acces
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