1. Musk Says Tesla Robots Can Develop Personality

According to media sources, Musk said in an interview recently that the Tesla robot will not be just a humanoid robot that can complete repetitive tasks, it may develop its own unique personality and become a human partner. Tesla robots could become human companions like C3PO, the ceremonial robot from Star Wars, he said. Musk replied, "Developing a humanoid robot that can interact with the outside world and help humans in many ways makes a lot of sense for the world." "Over time, Tesla robots will develop their own personality, not like It's the same as any other robot. Its personality matches the user." Friedman suggested that there would be a "huge opportunity" for Tesla robots to alleviate human loneliness. In the interview, Musk did not disclose the exact time when the Tesla robot will go on sale, but said that he expects "a good prototype to be developed by the end of next year."
2. The "Zidong Taichu" model of the Automation Institute serves as the AI tutor of CCTV music programs

In the popular CCTV music program "Sing My New Voice", the large-scale model of "Zidong Taichu" of the Institute of Automation of the Chinese Academy of Sciences is transformed into an "artificial intelligence tutor" to score contestants in real-time through artificial intelligence technology. Communication makes new recommendations and personalised suggestions for singers. It is reported that the large model of "Zidong Taichu" introduces speech data, which enables it to combine the original music data and the score data of music experts to perform accurate model fine-tuning from the above five dimensions, and automatically learn the evaluation criteria of professional evaluation and the excellent music in music. The internal relationship between elements, and then form a more objective evaluation system, to achieve scientific scoring.
3. Delivery robots that can better adapt to uneven roads

Developed by Japanese robotics company Piezo Sonic, Mighty is based on a concept for a lunar exploration robot. As the robot moves over uneven terrain, each leg can bend independently to compensate and keep the robot's body relatively level. In addition, it can also use this feature to climb shallow groups of buildings without tipping over backward. The robot can carry around 20kg of cargo, step over obstacles up to 15cm, climb 15-degree slopes and reach a top speed of 10km/h. The robot weighs 25kg and is estimated to be able to run for about four hours per charge. As planned, the Mighty will initially be operational in Tokyo's Ota Ward. It recently won an Innovation Award at the 2022 CES.
4. ABB joins hands with Huayu Automobile to form a joint venture

Recently, ABB and auto parts supplier Huayu Automobile jointly announced that they will establish a joint venture to promote the transformation and upgrading of intelligent manufacturing in China's automobile industry. ABB will hold a 40% stake in the joint venture, and the parties have agreed not to disclose specific details of the investment.
5. SIASUN helps Master Kong's Xi'an factory produce 3.5 million packs of instant noodles per day
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Recently, in order to ensure the stable supply of people's daily necessities during the epidemic prevention and control period, Master Kong Xi'an Dingyi Food Co., Ltd., a key food enterprise in Xi'an Economic and Technological Development Zone, resumed work ahead of schedule. At the Master Kong Xi'an factory, industrial robots and automated conveyor lines from SIASUN worked with Master Kong employees to help the Master Kong factory increase the daily production capacity of 2.8 million packages before the epidemic to 3.5 million packages. Nearly 20 logistics vehicles are about to be fully loaded with materials and sent to the factory. Xi'an High-tech Zone is the front line of the fight against the epidemic.
6. CB Insights China released the "2021 Global Exoskeleton Robot Industry Research Report"

CB Insights China released the "2021 Global Exoskeleton Robot Industry Research Report". The report pointed out that in terms of technology integration, scientific research achievements in the fields of automation, mechanical engineering, brain nerve, and materials are expected to optimize the functions of exoskeleton robots and reduce costs and market prices. In terms of technology commercialization, security, functionality, and friendliness from the perspective of users are the key technology directions.
7. AI realizes accurate solutions to low-dimensional mathematical problems

In a recent study, the method of using neural networks to accurately solve low-dimensional mathematical problems proved to be very effective. It is worth mentioning that OpenAI Codex was also used in this research. As a deep learning model for generating software source code, Codex can understand more than a dozen programming languages, and the Codex model provided through the API also has strong capabilities in Python programming. It can take contextual information into account when performing programming tasks, Including transpiring, interpreting code, and refactoring code. The research, also described by its research team as "the first to automatically solve, grade, and generate college-level math course problems at scale," shatters the widely held notion that neural networks cannot solve advanced math problems.
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