MIT looked at the original Roboat as “quarter-scale” option, with the Roboat II being half-scale; they’re slowly working up to the point of a full-scale option that can carry four to six passengers. That bigger version is already under construction in Amsterdam, but there’s no word on when it’ll be ready for testing. In the meantime, Roboat II seems like it can pretty effectively navigate Amsterdam — MIT says that it autonomously navigated the city’s canals for three hours collecting data and returned to where it left with an error margin of less than seven inches.
Going forward, the MIT team expects to keep improving the Roboat’s algorithms to make it better able to deal with the challenges a boat might find, like disturbances from currents and waves. They’re also working to make it more capable of identifying and “understanding” objects it comes across so it can better deal with the environment it’s in. Everything the half-scale Roboat II learns will naturally be applied to the full-scale version that’s being worked on now. There’s no word on when we might see that bigger Roboat out in the waters, though.
Japan and the United States on Monday began air, sea and land exercises around Japan in a show of force in the face of increased Chinese military activity in the region. The Keen Sword exercise is the first big drill since Yoshihide Suga became Japan’s prime minister last month with a vow to continue the military build-up aimed at countering China.
Millennials’ embrace of Bitcoin could see it “crowd out” gold in the long term, JP Morgan writes.
We stored the light by putting it in a suitcase so to speak, only that in our case the suitcase was made of a cloud of cold atoms,” says physicist Patrick Windpassinger from Mainz University in Germany. “We moved this suitcase over a short distance and then took the light out again.
The storage and transfer of information is a fundamental part of any computing system, and quantum computing systems are no different – if we’re going to benefit from the speed and security of quantum computers and a quantum internet, then we need to figure out how to shift quantum data around.
One of the ways scientists are approaching this is through optical quantum memory, or using light to store data as maps of particle states, and a new study reports on what researchers are calling a milestone in the field: the successful storage and transfer of light using quantum memory.
The researchers weren’t able to transfer the light very far – just 1.2 millimetres or 0.05 inches – but the process outlined here could form the foundation of the quantum-powered computers and communication systems of the future.
KENNEDY SPACE CENTER (FL), October 19, 2020 – The Center for the Advancement of Science in Space (CASIS) and the National Science Foundation (NSF) announced three flight projects that were selected as part of a joint solicitation focused on leveraging the International Space Station (ISS) U.S. National Laboratory to further knowledge in the fields of tissue engineering and mechanobiology. Through this collaboration, CASIS, manager of the ISS National Lab, will facilitate hardware implementation, in-orbit access, and astronaut crew time on the orbiting laboratory. NSF invested $1.2 million in the selected projects, which are seeking to advance fundamental science and engineering knowledge for the benefit of life on Earth.
This is the third collaborative research opportunity between CASIS and NSF focused on tissue engineering. Fundamental science is a major line of business for the ISS National Lab, and by conducting research in the persistent microgravity environment offered by the orbiting laboratory, NSF and the ISS National Lab will drive new advances that will bring value to our nation and spur future inquiries in low Earth orbit.
Microgravity affects organisms—from viruses and bacteria to humans, inducing changes such as altered gene expression and DNA regulation, changes in cellular function and physiology, and 3D aggregation of cells. Spaceflight is advancing research in the fields of pharmaceutical research, disease modeling, regenerative medicine, and many other areas within the life sciences. The selected projects will utilize the ISS National Lab and its unique environment to advance fundamental and transformative research that integrates engineering and life sciences.
“This is kind of a nice bookend to 16 years of research,” says Deisseroth, a neuroscientist and bioengineer at Stanford University. “It took years and years for us to sort out how to make it work.”
“The result is described this month in the journal Nature Biotechnology.”
“Optogenetics involves genetically engineering animal brains to express light-sensitive proteins—called opsins—in the membranes of neurons.”
Optogenetics can now control neural circuits at unprecedented depths within living brain tissue without surgery.
Elon Musk has extended his thanks to Tesla owners who received the company’s limited Full Self-Driving beta last week. The information Tesla is gathering from early access FSD beta testers will be invaluable as the company’s AI team continues to enhance and refine the EV automaker’s autonomous driving software.
The founder of Tesla Owners Club Vancouver Islands James Locke asked Elon Musk about his view on the content early access FSD testers were sharing. “Yes, very helpful,” said the Tesla CEO. “Thanks to all beta testers.”
Last week, Musk announced that Tesla plans to roll out the FSD beta to the general public later this year. Tesla will need all the information it can get to make sure that the full release of the Full Self-Driving beta goes smoothly.
While it may not immediately sound like a dramatic feat, it could open up completely new possibilities in the field of neurological research.
“This is a problem that everyone dreams of solving,” Dr. Sinefeld said, referring to the difficulty in successfully examining thick brain tissue, especially through adult fish scales.
Dr. David Sinefeld (Credit: Jerusalem College of Technology)