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New AI strategy enables robots to rapidly adapt to real world environments

July 9, 2021 by Sarah Yang Delivery services may be able to overcome snow, rain, heat and the gloom of night, but a new class of legged robots is not far behind. Artificial intelligence algorithms developed by a team of researchers from UC Berkeley, Facebook and Carnegie Mellon University are equipping legged robots with an enhanced ability to adapt to and navigate unfamiliar terrain in real time. Their test robot successfully traversed sand, mud, hiking trails, tall grass and dirt piles without falling. It also outperformed alternative systems in adapting to a weighted backpack thrown onto its top or to slippery, oily slopes. When walking down steps and scrambling over piles of cement and pebbles, it achieved 70% and 80% success rates, respectively, still an impressive feat given the lack of simulation calibrations or prior experience with the unstable environments.

Trusted cloud leader builds new facilities and provides more training program in Southeast Asia

Published July 10, 2021, 9:52 AM Alibaba Cloud Alibaba Cloud, the digital technology and intelligence backbone of Alibaba Group, today launched Project AsiaForward with an initial USD1 billion funding and resources to cultivate a million-strong digital talent pool, empower 100,000 developers and the growth of 100,000 technology startups in Asia Pacific (APAC) over the next three years. Unveiled during the Alibaba Cloud Summit 2021, the Project forms part of the cloud provider’s strategy to invest in infrastructure, technological innovation and talent development to contribute to local economic growth through digital transformation as the trusted cloud leader in APAC. “Innovative technology is critical to the recovery from COVID-19 while a strong pipeline of talent well versed in digital applications is needed to support the sustainable development of today’s digital economy. We are seeing a strong demand for cloud-native technologies in emerging verticals across the region,

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