| Amine Moulay Ramdane <aminer68@gmail.com>: Sep 25 01:00PM -0700 Hello, "Whoever leads in artificial intelligence in 2030 will rule the world until 2100 Technological leadership will require big digital investments, rapid business process innovation, and efficient tax and transfer systems. China appears to have the edge in the first, the U.S. in the second, and Western Europe in the third. Also the real advantage of the U.S. is that government exercises a lighter touch than in China or Europe, leading to shorter lags from invention to market and quicker adaptation by businesses so that productivity gains are realized more quickly than in competing countries. The regulatory, infrastructural, and cultural conditions that lead to quicker business process innovation require tight industry-academic linkages, a welcoming environment for high-skilled immigrants, sound product-market regulations, and sensible hiring and firing rules. These will be not easy for either China or Europe to institute, and the U.S. will have this edge for a while. So, who's most likely to succeed during the next decade? My money is on the United States. Productivity growth will pick up again as businesses take advantage of new technologies, consumers will take home big price and quality gains, and policy types will stop fretting about fears of secular stagnation. If enough of the tax burden is shifted from labor to capital, the incomes of middle-income households will keep pace. Expect the United States to call the shots for the rest of the century." Read more here: https://www.brookings.edu/blog/future-development/2020/01/17/whoever-leads-in-artificial-intelligence-in-2030-will-rule-the-world-until-2100/ Thank you, Amine Moulay Ramdane. |
| Bonita Montero <Bonita.Montero@gmail.com>: Sep 19 12:04PM +0200 > "With transactional memory you no longer have deadlocks but livelocks." Collisions while doing a transactions aren't called livelocks. And with lockfree algorithms you have these collisions as well. And lockfree algorithms mostly don't compete with transactional memory as the latter is usually more complex; more complex as the transactional part of a lockfree algorithm could be. |
| Amine Moulay Ramdane <aminer68@gmail.com>: Sep 25 11:06AM -0700 Hello, Metal wires of carbon complete toolbox for carbon-based computers Metallic carbon circuit element enables work on faster, efficient carbon-based transistors The final breakthrough can be attributed to a minute change in the nanoribbon structure. "Using chemistry, we created a tiny change, a change in just one chemical bond per about every 100 atoms, but which increased the metallicity of the nanoribbon by a factor of 20, and that is important, from a practical point of view, to make this a good metal," Crommie said. The two researchers are working with electrical engineers at UC Berkeley to assemble their toolbox of semiconducting, insulating and metallic graphene nanoribbons into working transistors. "I believe this technology will revolutionize how we build integrated circuits in the future," Fischer said. "It should take us a big step up from the best performance that can be expected from silicon right now. We now have a path to access faster switching speeds at much lower power consumption. That is what is driving the push toward a carbon-based electronics semiconductor industry in the future." Read more here: https://www.sciencedaily.com/releases/2020/09/200924141547.htm Thank you, Amine Moulay Ramadane. |
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