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The robotics research team at Google DeepMind recently released a robotics project called RT-2. This project took 7 months to develop and uses a large model for training. RT-2 has capabilities such as symbol understanding, reasoning, and human recognition, and can think and complete tasks based on human instructions. By combining the large model with the robot's operational capabilities, RT-2 can accomplish tasks that involve logical leaps, such as from 'extinct animals' to 'plastic dinosaurs'. The results of this project performed well in various sub - category tests, with performance up to three times that of the previous generation of robot models. This research result demonstrates the potential of large models in robotics research and is expected to drive the development of robots in the future.
Meta Intelligence OS is a startup founded by Bloomberg. It has developed a series of large models based on the open-source model RWKV and aims to become the Android in the era of large models. The RWKV model has superior performance and low cost in inference tasks, thus attracting customers from industries such as finance, law firms, and smart hardware. The business model of Meta Intelligence OS is model customization based on private data and internal AI Agent development. The company hopes to solve the problems of API call latency and data security by deploying large models on terminal devices. Currently, RWKV versions are available on Windows, Mac, and Linux computers, and Android and iOS versions are also in development. Meta Intelligence OS is raising funds and collaborating with chip companies and computing power platforms to create benchmark customers. Luo Xuan said that the decisive battlefield for large models is on hardware, and both terminal devices and the cloud require dedicated chips.
On February 27th, according to CCTV reports, the International Electrotechnical Commission (IEC) recently officially released the international standard for elderly care robots (IEC63310 "Performance Standard for Active Assistive Living Robots Used in Interconnected Home Environments") spearheaded by China. This standard, based on the physiological, psychological, and behavioral characteristics of the elderly, focuses on the needs and characteristics of the elderly in daily life and health care in interconnected home environments, providing a benchmark for the design, manufacturing, testing, and certification of elderly care robots. World Health Organization data shows that it is expected that by 2050...
Alibaba officially announced the launch of its 2026 Spring Internship recruitment drive, opening over 3000 positions. Nearly 50% of these roles are related to Artificial Intelligence (AI). Some departments show an even stronger AI focus, with approximately 65% in AutoNavi (Amap) and over 80% in Alibaba Cloud. This reflects Alibaba's growing emphasis on AI technology. The recruitment drive spans multiple departments including Alibaba Group Holding, Alibaba Cloud, AutoNavi, Tongyi Lab, Ele.me, and Lynx.