“In May, GM spent $1 billion to buy Cruise Automation, a small startup with promising self-driving software.”
Category: robotics/AI – Page 2198
Ready and waiting at an arms reach from the government, the Research and Development Corporation (RAND) has helped the U.S. think through some of the toughest scientific and regulatory challenges since the 1940s. This year, the think tank is opening its first office in the San Francisco Bay Area. Its positioning itself to weigh in on some of Silicon Valleys largest research projects, like autonomous vehicles, drones, AI, cybersecurity and telemedicine.
But unlike the RAND of the past, this new version embodies the scrappiness of startup culture. Formally based out of a WeWork space, office director Nidhi Kalra and the rest of her SF team largely work decentralized from homes and coffee shops around the Bay Area.
The team of a dozen researchers is here to study the development of new technologies and the way in which state and local authorities are working side-by-side with startups to keep everyone safe without sundering innovation.
Pay attention to the trends in exponential technologies. particularly to “the big three,” says Jason Silva. Those 3 are GNR: Genetics, Nanotechnology, and Robotics.
Can we, as adults, grow new neurons? Neuroscientist Sandrine Thuret with a background in food science, molecular, cellular, behavioural and ageing biology says that we can, and she offers research and practical advice on how we can help our brains better perform neurogenesis—improving mood, increasing memory formation and preventing the decline associated with aging along the way.
“Can we, as adults, grow new nerve cells? There’s still some confusion about that question, as this is a fairly new field of research. For example, I was talking to one of my colleagues, Robert, who is an oncologist, and he was telling me, “Sandrine, this is puzzling. Some of my patients that have been told they are cured of their cancer still develop symptoms of depression.” And I responded to him, “Well, from my point of view that makes sense. The drug you give to your patients that stops the cancer cells multiplying also stops the newborn neurons being generated in their brain.” And then Robert looked at me like I was crazy and said, “But Sandrine, these are adult patients — adults do not grow new nerve cells.” And much to his surprise, I said, “Well actually, we do.” And this is a phenomenon that we call neurogenesis.”
According to a new study from Oxford and Yale University researchers, those are the years artificial intelligence is slated to take over each of those tasks. And so it will go for millions of other jobs over the next 50 years, researchers find.
Yesterday, AMD revealed the Project 47 supercomputer was powered by 20 AMD EPYC 7601 processors and 80 Radeon Instinct GPUs. It is a petaFLOP supercomputer in a rack. Other hardware included 10TB of Samsung memory and 20 Mellanox 100G cards (and 1 switch). Project 47 is capable of 1 PetaFLOP of single-precision compute performance or 2 PetaFLOPS of half-precision.
Project 47 is built around the Inventec P47. The P47 is a 2U parallel computing platform designed for graphics virtualization and machine intelligence applications. A single rack of Inventec P47 systems is all that was necessary to achieve 1 PetaFLOP, and it does so while producing 30 GigaFLOPS/Watt, which AMD claims is 25% more efficient than some other competing supercomputing platforms. A petaFLOP system uses 33,333 watts. A thousand of PetaFLOP racks would use 33.3 MW and have an exaFLOP.
Thanks to its 32-core / 64-thread EPYC processors and Radeon Vega GPUs, which feature 4,096 stream processors each, AMD also claims that Project 47 rack has more cores/threads, compute units, I/O lanes and memory channels in use simultaneously than in any other similarly configured system.