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joisig.com | ||
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blog.molecular-matters.com
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| | | | | All source code snippets found on this blog are subject to the MIT license: // The MIT License(MIT) // // Copyright(c) 2012-2017 Stefan Reinalter // // Permission is hereby granted, free of charge, to any person obtaining a copy // of this software and associated documentation files (the "Software"), to deal // in the Software... | |
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dougmccune.com
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| | | | | Any source code released on this blog, unless otherwise explicitly noted, is licensed under the MIT license: Copyright (c) Doug McCune Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights | |
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marc-b-reynolds.github.io
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| | | | | [AI summary] The text describes the licensing of software under the UNLICENSE, allowing free use and distribution without restrictions. | |
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lorenzopieri.com
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| | | A new job figure is silently emerging: teleoperators, that is human piloting robots. While remotely completing a task is useful by itself, there is much more to it. Every successful trial can be logged, building a dataset of experiences. If done properly, we can build an infinitely reusable learning resource to train any number of autonomous robots to perform the same tasks. Here I will go over the potential and unsolved problems in teleoperation, review selected projects in data-driven learning and speculate on the evolution and opportunities in the nascent teleoperation industry, with focus on manipulation. Introduction Building useful AI agents is hard. Since we didn't figure out a priori how to build general intelligence, the best we can as of today is t... | ||
