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Delft Hyperloop is back, and it claims it’s about to break the speed record for hyperloop. As 20 teams gather in Hawthorne, California, for SpaceX’s third pod racing competition on Sunday, the Netherlands-based group could be one of the key drivers in a transportation revolution.

“Our objective is to go faster than the current record,” Clément Hienen, the team’s design engineer, tells Inverse. “For sure, we designed to break the record.”

It’s a bold claim, especially considering the wider industry. When Elon Musk first released his white paper for a vacuum-sealed-tube-based transportation system in 2013, he claimed pods could fly through at a theoretical maximum speed of 700 mph — cutting a six-hour drive from Los Angeles to San Francisco down to just 30 minutes. Musk’s own firms set a public speed record of 220 mph in August 2017, only for Richard Branson-backed Virgin Hyperloop One to beat the record with 240 mph in December 2017. Delft plans to beat both of these.

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Learning algorithms which improve how they learn, computers which define their own objectives and then do it, robots which learn from us like children do, its all not far off now.

Panelists:

Professor juergen schmidhuber director & professor, the swiss AI lab IDSIA – USI & SUPSI

Continue reading “CogX 2018 — Professor Juergen Schmidhuber Director & Professor, The Swiss AI Lab IDSIA – USI & SUPSI” | >

This talk by Jordan Pederson suggests human level AGI is here within the year. And after we go expo.

Jordan Peterson’s Links:
Patreon: https://www.patreon.com/jordanbpeterson
Self Authoring: http://selfauthoring.com/
Jordan Peterson Website: http://jordanbpeterson.com/
Podcast: http://jordanbpeterson.com/jordan-b-p…
Reading List: http://jordanbpeterson.com/2017/03/gr…
Twitter: https://twitter.com/jordanbpeterson

Remember Much of Jordan Peterson’s interpretations are psychological in nature.

Continue reading “Creators of future AI must not be ideologues” | >

A glimpse at the coming AI researchers. (AI’s that do research).

A new type of artificial-intelligence-driven chemistry could revolutionise the way molecules are discovered, scientists claim.

In a new paper published today in the journal Nature, chemists from the University of Glasgow discuss how they have trained an artificially-intelligent organic chemical synthesis robot to automatically explore a very large number of .

Their ‘self-driving’ system, underpinned by machine learning algorithms, can find new reactions and molecules, allowing a digital-chemical data-driven approach to locating new molecules of interest, rather than being confined to a known database and the normal rules of organic synthesis.

Continue reading “Robot chemist discovers new molecules and reactions” | >

Vivli, which spun out of a policy think tank at Harvard University–affiliated Brigham and Women’s Hospital in Boston, is part of a push to encourage drug developers to share trial data—even negative results, findings that show a treatment has no benefit. Companies seeking U.S. regulatory approval for a drug, as well as investigators funded by the National Institutes of Health, must post limited, summary results on ClinicalTrials.gov. But many researchers and policy analysts believe sharing detailed raw data on individual patients, stripped of identifying information, would be valuable. Researchers could confirm that a drug works, look for side effects, or explore new questions.

Vivli aims to ease sharing of anonymized clinical studies.

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Researchers have created the fastest man-made rotor in the world, which they believe will help them study quantum mechanics.

At more than 60 billion revolutions per minute, this machine is more than 100,000 times faster than a high-speed dental drill.

“This study has many applications, including ,” said Tongcang Li, an assistant professor of physics and astronomy, and electrical and computer engineering, at Purdue University. “We can study the extreme conditions different materials can survive in.”

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