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A liquid hydrogen airliner with a range of over 5,000 miles. It’s feasible per them, by 2030 and limits pollution.

A breakthrough liquid hydrogen-fueled aircraft concept developed in the United Kingdom could take passengers from London to San Francisco with no layover.

That’s because the massive plane would have an operational range of 5,250 nautical miles (equivalent to air miles) and wouldn’t need to land to fill up with gas. This would provide more than enough range for the flight of roughly 11 hours and 4,664 nautical miles.

This concept plane was developed by the FlyZero project, a program led by the Aerospace Technology Institute with the goal of providing air travel with no pollution (zero-carbon) in the next decade, as the agency states on its website.

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Their AI is able to recognize patterns in complex data sets and to formulate them in a physical theory. The development of a new theory is typically associated with the greats of physics. You might think of Isaac Newton or Albert Einstein, for example. Many Nobel Prizes have already been awarded for new theories. Researchers at Forschungszentrum Jülich have now programmed an artificial intelligence that has also mastered this feat. Their AI is able to recognize patterns in complex data sets and to formulate them in a physical theory.

In the following interview, Prof. Moritz Helias from Forschungszentrum Jülich’s Institute for Advanced Simulation (IAS-6) explains what the “Physics of AI” is all about and to what extent it differs from conventional approaches.

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Figure has demonstrated the first fruit of its collaboration with OpenAI to enhance the capabilities of humanoid robots. In a video released today, the Figure 1 bot is seen conversing in real-time.

The development progress at Figure is nothing short of extraordinary. Entrepreneur Brett Adcock only emerged from stealth last year, after gathering together a bunch of key players from Boston Dynamics, Tesla Google DeepMind and Archer Aviation to “create the world’s first commercially viable general purpose humanoid robot.”

By October, the Figure 1 was already up on its feet and performing basic autonomous tasks. By the turn of the year, the robot had watch-and-learn capabilities, and was ready to enter the workforce at BMW by mid-January.

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