*slaps roof* This baby practically drives itself.
Drivers will be able to take their eyes off the road at speeds of up to 37 mph.
which envisions coordinating hundreds of #robots for missions in urban areas. http://ow.ly/OtWm50H8by5
Researchers have refined a molecule that shows promise for the prevention of Parkinson’s disease.
https://buff.ly/3yezAQJ #UAV #Defence #OSINT
Technicians plan to conduct deck-handling testing of the MQ-25 Stingray on the aircraft carrier USS George HW Bush (CVN 77) while the ship is underway in December. (Michael Fabey)
Continue reading “Carrier Bush prepares for additional Stingray testing” »
Alphabet’s AI research company DeepMind has released the next generation of its language model, and it says that it has close to the reading comprehension of a high schooler — a startling claim.
It says the language model, called Gopher, was able to significantly improve its reading comprehension by ingesting massive repositories of texts online.
DeepMind boasts that its algorithm, an “ultra-large language model,” has 280 billion parameters, which are a measure of size and complexity. That means it falls somewhere between OpenAI’s GPT-3 (175 billion parameters) and Microsoft and NVIDIA’s Megatron, which features 530 billion parameters, The Verge points out.
A new robotics startup, Petra, emerged from stealth today with funding of $33 million and a promising new technology for the mining industry.
After DeepMind’s breakthrough in protein folding last year, Alphabet will double down on artificial intelligence in biology and health with its new venture.
These longstanding challenges are both related to how functionals behave when presented with a system that exhibits “fractional electron character.” By using a neural network to represent the functional and tailoring our training dataset to capture the fractional electron behaviour expected for the exact functional, we found that we could solve the problems of delocalization and spin symmetry-breaking. Our functional also showed itself to be highly accurate on broad, large-scale benchmarks, suggesting that this data-driven approach can capture aspects of the exact functional that have thus far been elusive.
For years, computer simulations have played a central role in modern engineering, making it possible to provide reliable answers to questions like “will this bridge stay up?” to “will this rocket make it into space?” As technology increasingly turns to the quantum scale to explore questions about materials, medicines, and catalysts, including those we’ve never seen or even imagined, deep learning shows promise to accurately simulate matter at this quantum mechanical level.
An artificial intelligence system developed in John Dabiri’s lab could one day swim and navigate autonomously underwater even more effectively than living creat… See more.
New AI uses reinforcement learning to efficiently navigate oceans.
Continue reading “Engineers Teach AI to Navigate Ocean with Minimal Energy” »
WASHINGTON/DALLAS/BEIJING (Financial Times) — The US will put SenseTime, the Chinese artificial intelligence company that specializes in facial recognition software, on an investment blacklist on Friday, the same day that it prices its Hong Kong initial public offering.
Gene therapy is a powerful developing technology that has the potential to address myriad diseases. For example, Huntington’s disease, a neurodegenerative disorder, is caused by a mutation in a single gene, and if researchers could go into specific cells and correct that defect, theoretically those cells could regain normal function.
A major challenge, however, has been creating the right “delivery vehicles” that can carry genes and molecules into the cells that need treatment, while avoiding the cells that do not.
Now, a team led by Caltech researchers has developed a gene-delivery system that can specifically target brain cells while avoiding the liver. This is important because a gene therapy intended to treat a disorder in the brain, for example, could also have the side effect of creating a toxic immune response in the liver, hence the desire to find delivery vehicles that only go to their intended target. The findings were shown in both mouse and marmoset models, an important step towards translating the technology into humans.
