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OpenAI’s Robot Hand Won’t Stop Rotating The Rubik’s Cube 👋

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The mentioned blog post on the gradients and its notebook are available here:
Post: https://www.wandb.com/articles/exploring-gradients
Notebook: https://colab.research.google.com/drive/1bsoWY8g0DkxAzVEXRigrdqRZlq44QwmQ

📝 The paper “Solving Rubik’s Cubewith a Robot Hand” is available here:
https://openai.com/blog/solving-rubiks-cube/

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AI and the Future of Work: The Economic Impacts of Artificial Intelligence

This week at MIT, academics and industry officials compared notes, studies, and predictions about AI and the future of work. During the discussions, an insurance company executive shared details about one AI program that rolled out at his firm earlier this year. A chatbot the company introduced, the executive said, now handles 150,000 calls per month.

Later in the day, a panelist—David Fanning, founder of PBS’s Frontline—remarked that this statistic is emblematic of broader fears he saw when reporting a new Frontline documentary about AI. “People are scared,” Fanning said of the public’s AI anxiety.

Fanning was part of a daylong symposium about AI’s economic consequences—good, bad, and otherwise— convened by MIT’s Task Force on the Work of the Future.

Alphabet X’s “Everyday Robot” project is making machines that learn as they go

The news: Alphabet X, the company’s early research and development division, has unveiled the Everyday Robot project, whose aim is to develop a “general-purpose learning robot.” The idea is to equip robots with cameras and complex machine-learning software, letting them observe the world around them and learn from it without needing to be taught every potential situation they may encounter.

For now: The early prototype robots are learning how to sort trash. It sounds mundane, but it’s tough to get robots to identify different types of objects, and then how to grasp them. Alphabet X claims that its robots are currently putting less than 5% of trash in the wrong place, versus an error rate of 20% among the office’s humans.

The big idea: Robots are expensive and confined to performing very specific, specialized tasks. Getting robots that can operate safely and autonomously in messy, complex human environments like homes or offices is one of the biggest challenges in robotics right now.

Drones, robots, lasers, supersonic gliders & other high-tech arms: Putin wants Russian military to be up to any future challenge

The Russian military will be going all out sci-fi, with Vladimir Putin saying the plan for boosting the Armed Forces until 2033 should focus on AI and weapons based on ‘new physical principles.’

With the introduction of a whole range of state-of-the-art arms in recent years, Russia has been “able to make a step forward compared to the world’s other military powers,” Putin said during a meeting of the Russian Security Council on Friday.

The tally of the newest weapons and hardware in the possession of the country’s Armed Forces and Navy is currently over 68 percent, he said, adding that they must be increased to at least 70 percent and maintained at that level.

Ray Kurzweil (USA) at Ci2019 — The Future of Intelligence, Artificial and Natural

The Future of Intelligence, Artificial and Natural

Welcome

Ray Kurzweil is one of the world’s leading inventors, thinkers, and futurists, with a thirty-year track record of accurate predictions. Called “the restless genius” by The Wall Street Journal and “the ultimate thinking machine” by Forbes magazine, he was selected as one of the top entrepreneurs by Inc. magazine, which described him as the “rightful heir to Thomas Edison.” PBS selected him as one of the “sixteen revolutionaries who made America.”

Ray was the principal inventor of the first CCD flat-bed scanner, the first omni-font optical character recognition, the first print-to-speech reading machine for the blind, the first text-to-speech synthesizer, the first music synthesizer capable of recreating the grand piano and other orchestral instruments, and the first commercially marketed large-vocabulary speech recognition.

Among Ray’s many honors, he received a Grammy Award for outstanding achievements in music technology; he is the recipient of the National Medal of Technology, was inducted into the National Inventors Hall of Fame, holds twenty-one honorary Doctorates, and honors from three U.S. presidents.

Ray has written five national best-selling books, including New York Times best sellers The Singularity Is Near (2005) and How To Create A Mind (2012). He is Co-Founder and Chancellor of Singularity University and a Director of Engineering at Google heading up a team developing machine intelligence and natural language understanding.

Ci2019 featured over 40 global leaders including Chief Technology Officer of Google Ray Kurzweil (USA), CEO of NESTA Geoff Mulgan CBE (UK), Chief Data and Transformation Officer at DBS Bank Paul Cobban (Singapore), A.I. Experts Professor Toby Walsh and Liesl Yearsley (USA), Co-founder of Oxford Insights Emma Martinho-Truswell (UK), Ethics leader Professor Simon Longstaff, Ethics and Culture of Robots and AI Professor Kathleen Richardson (UK), brain performance neuroscientist Dr Etienne Van Der Walt (South Africa), transdisciplinary Behavioural Scientist Dr Richard Claydon (Hong Kong), Director of the Learning Technology Research Centre Carl Smith (UK), Australia’s Chief Scientist Dr Alan Finkel AO, Deakin University Vice Chancellor Professor Jane Den Hollander, ATO’s Jane King, Innovation & Science Australia CEO Dr Charles Day, CEDA CEO Melinda Cilento, Jobs for NSW CEO Nicole Cook, Behaviour Innovation founder & CEO John Pickering, People and Performance expert Andrew Horsfield, TEDx Melbourne’s Jon Yeo and many more to be announced.