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EFFICIENT OPTIONS. "Now show that, with no prior knowledge and with liquid handling robotics and automated microscopy under its control, this learner accurately learned the effects of 48 chemical compounds on the subcellular localization of 48 proteins while performing only 29% of all possible experiments. The results represent the first practical demonstration of the utility of active learning-driven biological experimentation in which the set of possible phenotypes is unknown in advance." https://lnkd.in/dnE44d8 View in LinkedIn

SHORTEST DISTANCE BETWEEN MANY POINTS. "For their study that used 96 drugs and 96 cells, for instance, there were 9,216 possible experiments. Imagine having to conjure up a hypothetical result for each and every one of those. In the end, the machine performed 2,697 out of the 9,216 possible experiments after 30 rounds. The team says the algorithm was "able to learn a 92 percent accurate model for how the 96 drugs affected the 96 proteins" by conducting only 29 percent of the almost 10,000 possible experiments." https://lnkd.in/dFE3SyN View in LinkedIn

BETTER PREDICTIONS. "For their test, the researchers chose previously untried combinations of reactants, and then tried to predict the combination of reactant conditions that would be best to make selenite materials. The algorithm was able to give combinations that resulted in a crystalline product in 89% of around 500 cases. By comparison, the researchers’ ten accumulated years of experience with the materials was successful only 78% of the time." https://lnkd.in/dymCyw7 View in LinkedIn

EXPERIMENTAL CHAMP. "Sometimes, they’re even better than humans are. US chemists have created a machine-learning algorithm that studies successful and failed experiments in order to beat humans at predicting ways to make crystals." https://lnkd.in/dymCyw7 View in LinkedIn

THRUSHES" "Terrifying are the attent sleek thrushes on the lawn," "More coiled steel than living - a poised" "Dark deadly eye, those delicate legs" "Triggered to stirrings beyond sense - with a start, a bounce, " "a stab" "Overtake the instant and drag out some writhing thing. " "No indolent procrastinations and no yawning states," "No sighs or head-scratchings. Nothing but bounce and stab " "And a ravening second."" "(Ted Hughes). https://lnkd.in/drHWmQF View in LinkedIn

REPEATED REFINEMENT. "Initially, the equations generated by the program failed to explain the data, but some failures were slightly less wrong than others. Using a genetic algorithm, the program modified the most promising failures, tested them again, chose the best, and repeated the process until a set of equations evolved to describe the systems. Turns out, some of these equations were very familiar: the law of conservation of momentum, and Newton’s second law of motion." (Eureqa). https://lnkd.in/dEC3j_P View in LinkedIn

"COCKROACHES: Indestructible, and Instructive to Robot Makers. The cockroach structure and motion could work better than other, more wormlike designs for robots to explore sites where war or natural disaster has caused buildings to collapse. “This is the model for soft robots. Roaches could end up being the source of inspiration for machines that save people’s lives. https://lnkd.in/dQSTw9D View in LinkedIn

BOT WARS. “Study reveals bot-on-bot editing wars raging on Wikipedia's pages.” https://lnkd.in/du9yK8t View in LinkedIn

ABDUCTIVE ACTIVE LEARNING. "At the beginning of any investigation, the Robot Scientist has not discovered any information, therefore all possible hypotheses are equally valid. As the directed discovery process continues, each new observation (or experiment/interpretation cycle) will invalidate some of the hypotheses, thereby excluding incorrect discoveries. The experiment selection process aims to choose the experiment most likely to refute the most hypotheses." https://lnkd.in/dUdRjJH View in LinkedIn

BIG DATA MINING. "Condensing rules from raw data has long been considered the province of human intuition, not machine intelligence. It could foreshadow an age in which scientists and programs work as equals to decipher datasets too complex for human analysis." (Eureqa). https://lnkd.in/dEC3j_P View in LinkedIn