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Thursday, November 8th, 2018

    Time Event
    12:03a
    A Robot Scientist Will Dream Up New Materials To Advance Computing
    An anonymous reader quotes a report from MIT Technology Review: In a laboratory that overlooks a busy shopping street in Cambridge, Massachusetts, a robot is attempting to create new materials. A robot arm dips a pipette into a dish and transfers a tiny amount of bright liquid into one of many receptacles sitting in front of another machine. When all the samples are ready, the second machine tests their optical properties, and the results are fed to a computer that controls the arm. Software analyzes the results of these experiments, formulates a few hypotheses, and then starts the process over again. Humans are barely required. The setup, developed by a startup called Kebotix, hints at how machine learning and robotic automation may be poised to revolutionize materials science in coming years. The company believes it may find new compounds that could, among other things, absorb pollution, combat drug-resistant fungal infections, and serve as more efficient optoelectronic components. The company's software learns from 3-D models of molecules with known properties. Kebotix uses several machine-learning methods to design novel chemical compounds. The company feeds molecular models of compounds with desirable properties into a type of neural network that learns a statistical representation of those properties. This algorithm can then come up with new examples that fit the same model. To strain out potentially useless materials, Kebotix uses another neural network and "then the company's robotic system tests the remaining chemical structures," reports MIT Technology Review. "The results of those experiments can be fed back into the machine-learning pipeline, helping it get closer to the desired chemical properties. The company dubs the overall system a 'self-driving lab.'"

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    8:43a
    Google Is Adding Android Support For Foldable Screens
    At its Android Developer Summit today, Google detailed plans to bake support for folding phones into the mobile operating system. One of the first Android phones to hit the market with a foldable display looks to be from Samsung with a launch date of "early next year." TechCrunch reports: "You can think of the device as both a phone and a tablet," Android VP of Engineering Dave Burke explained. "Broadly, there are two variants -- two-screen devices and one-screen devices. When folded, it looks like a phone, fitting in your pocket or purse. The defining feature for this form factor is something we call screen continuity." Among the additions here is the ability to flag the app to respond to the screen as it folds and unfolds -- the effect would likely be similar to the response of applications as handsets switch between portrait and landscape modes.

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    1:00p
    UK Renewable Energy Capacity Surpasses Fossil Fuels For First Time
    An anonymous reader quotes a report from The Guardian: The capacity of renewable energy has overtaken that of fossil fuels in the UK for the first time, in a milestone that experts said would have been unthinkable a few years ago. In the past five years, the amount of renewable capacity has tripled while fossil fuels' has fallen by one-third, as power stations reached the end of their life or became uneconomic. The result is that between July and September, the capacity of wind, solar, biomass and hydropower reached 41.9 gigawatts, exceeding the 41.2GW capacity of coal, gas and oil-fired power plants. Imperial College London, which compiled the figures, said the rate at which renewables had been built in the past few years was greater than the "dash for gas" in the 1990s. However, the amount of power from fossil fuels was still greater over the quarter, at about 40% of electricity generation compared with 28% for renewable sources. In total, 57% of electricity generation was low carbon over the period, produced either by renewables or nuclear power stations. In terms of installed capacity, wind is the biggest source of renewables at more than 20GW, followed by solar spread across nearly 1m rooftops and in fields. Biomass is third.

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    4:10p
    To Keep Pace With Moore's Law, Chipmakers Turn to 'Chiplets'
    As chipmakers struggle to keep up with Moore's law, they are increasingly looking for alternatives to boost computers' performance. "We're seeing Moore's law slowing," says Mark Papermaster, chief technology officer at chip designer AMD. "You're still getting more density but it costs more and takes longer. It's a fundamental change." Wired has a feature story which looks at those alternatives and the progress chipmakers have been able to make with them so far. From a report: AMD's Papermaster is part of an industry-wide effort around a new doctrine of chip design that Intel, AMD, and the Pentagon all say can help keep computers improving at the pace Moore's law has conditioned society to expect. The new approach comes with a snappy name: chiplets. You can think of them as something like high-tech Lego blocks. Instead of carving new processors from silicon as single chips, semiconductor companies assemble them from multiple smaller pieces of silicon -- known as chiplets. "I think the whole industry is going to be moving in this direction," Papermaster says. Ramune Nagisetty, a senior principal engineer at Intel, agrees. She calls it "an evolution of Moore's law." Chip chiefs say chiplets will enable their silicon architects to ship more powerful processors more quickly. One reason is that it's quicker to mix and match modular pieces linked by short data connections than to painstakingly graft and redesign them into a single new chip. That makes it easier to serve customer demand, for example for chips customized to machine learning, says Nagisetty. New artificial-intelligence-powered services such as Google's Duplex bot that makes phone calls are enabled in part by chips specialized for running AI algorithms. Chiplets also provide a way to minimize the challenges of building with cutting-edge transistor technology. The latest, greatest, and smallest transistors are also the trickiest and most expensive to design and manufacture with. In processors made up of chiplets, that cutting-edge technology can be reserved for the pieces of a design where the investment will most pay off. Other chiplets can be made using more reliable, established, and cheaper techniques. Smaller pieces of silicon are also inherently less prone to manufacturing defects.

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