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6 best programming languages for AI development

AI (artificial intelligence) opens up a world of possibilities for application developers. By taking advantage of machine learning or deep learning, you could produce far better user profiles, personalization, and recommendations, or incorporate smarter search, a voice interface, or intelligent assistance, or improve your app any number of other ways. You could even build applications that see, hear, and react to situations you never anticipated.

Which programming language should you learn to plumb the depths of AI? You’ll want a language with many good machine learning and deep learning libraries, of course. It should also feature good runtime performance, good tools support, a large community of programmers, and a healthy ecosystem of supporting packages. That’s a long list of requirements, but there are still plenty of good options.

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.