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Running more than 30 minutes ahead of schedule, the SpaceX Crew-3 astronauts docked to the International Space Station at 6:32 p.m. EST Thursday, Nov. 11, less than 24 hours after launching from the Kennedy Space Center in Florida. NASA astronauts Raja Chari, Tom Marshburn, Kayla Barron, and ESA (European Space Agency) astronaut Matthias Maurer opened the hatch of their Crew Dragon spacecraft Endurance at 8:25 p.m. and participated in a welcome ceremony with their new Expedition 66 crewmates at 9 p.m.

On board to welcome them were fellow astronaut Mark Vande Hei, Expedition 66 Commander Anton Shkaplerov and Flight Engineer Pyotr Dubrov of Roscosmos. Joining the welcome ceremony from Earth were Kathy Lueders, NASA associate administrator for Space Operations, NASA and Josef Aschbacher, ESA director-general.

The newest crew to the microgravity laboratory is the agency’s third crew rotation mission with SpaceX and will remain on board until April 2022 as a part of Expedition 66.

Phase 3 clinical trials of MDMA-assisted psychotherapy for post-traumatic stress disorder (PTSD) are currently underway in the USA, Canada, and Israel.

These trials, led by the Multidisciplinary Association for Psychedelic Studies (MAPS), are the last step in figuring out if this treatment is safe and effective enough for MDMA to be legally prescribed to treat PTSD.

If there’s a positive result from the trials, this could happen in the USA as soon as 2022.

The Montauk Monster is a pit bull, a dogfighting washout who washed up a Long Island beach. You heard it here first.

Or maybe you heard it elsewhere first. Even with Google Alert, it’s not easy to keep track of the rumors, speculation and rare pieces of actual news concerning the odd-looking corpse found in late July on a beach near Montauk, New York.

First described on pop culture rag Gawker under the apotheosis-of-hipster subheading “Good Luck With Your Hell Demons,” the Montauk Monster hit the internet like a match tossed on lighter fluid. Was it the handiwork of mad government scientists at the nearby Plum Island Animal Disease Center? A member of some miraculously undiscovered species, giving silent testimony to the power of Nature, so exhaustively explored and encroached upon, to surprise?

The person staring back from the computer screen may not actually exist, thanks to artificial intelligence (AI) capable of generating convincing but ultimately fake images of human faces. Now this same technology may power the next wave of innovations in materials design, according to Penn State scientists.

“We hear a lot about deepfakes in the news today – AI that can generate realistic images of human faces that don’t correspond to real people,” said Wesley Reinhart, assistant professor of materials science and engineering and Institute for Computational and Data Sciences faculty co-hire, at Penn State. “That’s exactly the same technology we used in our research. We’re basically just swapping out this example of images of human faces for elemental compositions of high-performance alloys.”

The scientists trained a generative adversarial network (GAN) to create novel refractory high-entropy alloys, materials that can withstand ultra-high temperatures while maintaining their strength and that are used in technology from turbine blades to rockets.

Landing AI, a California-based startup led by Google Brain co-founder Andrew Ng, has just nabbed $57 million in series A for its computer vision platform.

Landing AI’s flagship product, the LandingLens, doesn’t have the highlights you see at Google I/O or the Apple Event, where tech giants introduce how the latest advances in AI are making your personal devices smarter and useful. But its impact could be no less significant than the kind of artificial intelligence technology that is finding its way into consumer products and services.

Landing AI is one of several companies that is bringing computer vision to the industrial sector. As industrial computer vision platforms mature, they can bring great productivity, cost-efficiency, and safety to different domains.