With complex structures – including a strong, flexible mechanical arm carrying various tools – the splash created by a deep sea mining robot was akin to that of humans. But unlike a free-fall diver, the robot was lowered by a rope and the swing caused by wind and waves added uncertainty to its motion, according to the researchers.
Robots are perfecting their diving skills in preparation for the serious business of tapping into mineral resources in the seabed.
NASA and Joby’s eVTOL craft could be the weird plane/chopper fusion of the future.
The National Aeronautics and Space Administration is also America’s civilian aerospace research organization. In that role, it has been instrumental in developing new technologies ranging from rocket engines to aircraft control systems.
Part of that role is running the Advanced Air Mobility (AAM) campaign to test autonomous drone technology. The latest milestone in that campaign was testing an electric vertical takeoff and landing (eVTOL) helicopter intended for eventual use as an air taxi.
The testing, which runs through September 10 utilizes a yet-to-be-named eVTOL craft from a company called Joby, which has been developing the technology with NASA for over 10 years. The aircraft, which looks like a large version of a 6-rotor drone, will perform flight tests at Joby’s Electric Flight Base, near Big Sur in California.
Are there any limits to large neural networks?
OpenAI will release GPT-4 in the next few years. It will have around 100 trillion parameters.
Our reign as sole understanders of the cosmos is rapidly coming to an end. We should not be afraid of this. The revolution that has just begun may be understood as a continuation of the process whereby the Earth nurtures the understanders, the beings that will lead the cosmos to self-knowledge. What is revolutionary about this moment is that the understanders of the future will not be humans but cyborgs that will have designed and built themselves from the artificial intelligence systems we have already constructed. These will soon become thousands then millions of times more intelligent than us.
“The dream of predicting a protein shape just from its gene sequence is now a reality,” said Paul Adams, Associate Laboratory Director for Biosciences at Berkeley Lab. For Adams and other structural biologists who study proteins, predicting their shape offers a key to understanding their function and accelerating treatments for diseases like cancer and COVID-19.
The current approaches to accurately mapping that shape, however, usually rely on complex experiments at synchrotrons. But even these sophisticated processes have their limitations—the data and quality aren’t always sufficient to understand a protein at an atomic level. By applying powerful machine learning methods to the large library of protein structures it is now possible to predict a protein’s shape from its gene sequence.
Researchers in Berkeley Lab’s Molecular Biophysics & Integrated Bioimaging Division joined an international effort led by the University of Washington to produce a computer software tool called RoseTTAFold. The algorithm simultaneously takes into account patterns, distances, and coordinates of amino acids. As these data inputs flow in, the tool assesses relationships within and between structures, eventually helping to build a very detailed picture of a protein’s shape.
Summary: Machine learning algorithm produced fewer decision-making errors than professionals when it came to clinical diagnosis of patients.
Source: University of Montreal.
It’s an old adage: there’s no harm in getting a second opinion. But what if that second opinion could be generated by a computer, using artificial intelligence? Would it come up with better treatment recommendations than your professional proposes?
Check out our second promo for #transvision #future Summit 2021 (#madrid Oct. 8 — 12), featuring the optional dinner/cocktails we are scheduling, and 2 full-day #tours of several #unescoworldheritage sites and historical places near Madrid: Segovia, Ávila, Monsaterio de El Escorial & Valley of the Fallen on Oct. 11 and Alcalá de Henares, Aranjuez & Toledo on Oct. 12. It’s going to be espectacular! You don’t wanna miss those, so get your tickets now! 😊 Get your tickets here -> www.TransVisionMadrid.com.
The event itself will be a lot of fun, so make sure to register to come to Madrid in person, or to watch it via streaming (at a reduced price). There will be talks about #longevity #artificialintelligence #cryonics and much much more.
Promo by Sergio Tarrero for Alianza Futurista as Diamond Sponsor of TransVision Future Summit 2021. Alianza Futurista will also provide live video production, streaming and post production services for this event.
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A new type of artificial intelligence (AI) algorithm, developed by the Mayo Clinic and the Google Research Brain Team, can potentially pave the way toward more directed brain stimulation for the treatment of Parkinson’s disease and other movement-related disorders.
According to researchers, this algorithm can more accurately determine the interaction between different regions of the brain — data that will be key for improving the way brain stimulation devices are used in the real world for treating Parkinson’s.
“Our findings show that this new type of algorithm may help us understand which brain regions directly interact with one another, which in turn may help guide placement of electrodes for stimulating devices to treat network brain diseases,” Kai Miller, MD, PhD, a neurosurgeon at Mayo Clinic and the first author of the study, said in a press release.