MyoChallenge: Machine Learning Challenge on digital hands

ﾐ樮ひｺﾑﾐｸﾐｹﾑひｵ ﾐｿﾐｾﾐｲﾐｵﾑﾐｵ ﾐｷﾐｰ ﾐ｣ﾐoeﾐｸﾐｲﾐｵﾑﾑﾐｸﾑひｵﾑひｰ ﾐ｢ﾐｲﾐｵﾐoeﾑひｵ ﾐoeﾐｰ ﾑﾐｲﾐｾﾑ ﾑﾐｾﾐｱﾑﾑひｲﾐｵﾐoe ﾐｵﾐｷﾐｸﾐｺ. ﾐ渙ｾﾑﾐｵﾑひｵﾑひｵ ﾑﾑびﾐｰﾐoeﾐｸﾑﾐｰﾑひｰ ﾐoeﾐｰ ﾐｱﾑ諌ｻﾐｳﾐｰﾑﾑﾐｺﾐｸ ! Cari tahu lebih banyak tentang University of Twente dalam bahasa kalian sendiri. Kunjungi halaman Indonesia ! ﾎ慚ｬﾎｸﾎｵﾏﾎｵ πﾎｵﾏ∃ｹﾏρρ狐ﾎｵﾏα ﾎｳﾎｹα ﾏﾎｿ ﾎαﾎoeﾎｵπﾎｹﾏρﾎ µﾎｹﾎｿ ﾏﾎｿﾏ ﾎ､ﾎｲﾎｭﾎoeﾏﾎｵ ﾏρﾎｷﾎoe ﾎｳﾎｻﾏ煮ρα ﾏαﾏ. ﾎπﾎｹﾏπｺﾎｵﾏﾎｸﾎｵﾎｯﾏﾎｵ ﾏﾎｷﾎoe ﾎ偏ｻﾎｻﾎｷﾎoeﾎｹﾎｺﾎ ﾏπｵﾎｻﾎｯﾎｴα! Επισκέψου την ιστοσελίδα As zelftestonderwijs.nl has stopped, students and employees can now pick up free self-test kits for COVID-19 In cooperation with Meta (known for Facebook) AI Lab, UT researchers developed a new open-source software called MyoSuite. Those same researchers now challenge anyone working with AI or Machine learning to use MyoSuite to develop controllers that can solve dexterous manipulation tasks on a realistic digital hand. On behalf of UT, TechMed Centre and DSI sponsor the Machine Learning Challenge called MyoChallenge. The MyoChallenge consists of two tracks.
account creation

TO READ THIS ARTICLE, CREATE YOUR ACCOUNT

And extend your reading, free of charge and with no commitment.

Register


Login

Your Benefits

  • Access to all content
  • Receive newsmails for news and jobs
  • Post ads

myScience