Year: 2022

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

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

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

"GRAFFITI is a computer program which makes conjectures in various subfields of mathematics. It was written by Siemion Fajtlowicz at the University of Houston. Research on conjectures produced by Graffiti has led to over 60 publications by other mathematicians." https://lnkd.in/dHW4gXQ) View in LinkedIn

BEATING THE NOGGINS. "A conjecture of Graffiti led to a discovery of a stability pattern of classical fullerenes, winning in the process an argument against one of the well-known fullerene experts." https://lnkd.in/dNX9WUn View in LinkedIn

RESEARCH OUTPUT. 92 research articles inspired by Graffiti. https://lnkd.in/d_iPp8q View in LinkedIn

"GRAFFITI.PC is a conjecture-making computer program whose design was strongly influenced by the design of the conjecture-making program Graffiti. The program Graffiti was created in the mid 1980's by Siemion Fajtlowicz of the University of Houston. As his student in the early 1990's, I contributed to the development of the most recent versions of Graffiti." https://lnkd.in/dEMGmTW View in LinkedIn

STEP FORWARD. “This Robot Scientist will be capable of initiating >1,000 experiments, and making >200,000 observations a day. Robot Scientists provide a unique test bed for the development of methodologies for the curation and annotation of scientific experiments: because the experiments are conceived and executed automatically by computer, it is possible to completely capture and digitally curate all aspects of the scientific process.” https://lnkd.in/dQyqwwv View in LinkedIn

BIOINFORMATICS DATA MINING. "It has become typical practice in Bioinformatics to separate the data collection or experimentation process and the understanding process, where large numbers of experiments are conducted and then specially designed data mining tools are used to identify correlations in the data that might represent hitherto undiscovered scientific knowledge." https://lnkd.in/dUdRjJH View in LinkedIn

SCRAPYARD MINING. "This knowledge will initially correspond to the goals of the scientific task, but increasingly the internet repositories that are often constructed to store the data have become the focus of less directed scientific study, where "hidden" knowledge not originally anticipated by the goals of the scientific task may be found. However, this "scrapyard" approach is partly a result of overexperimentation where many unnecessary experiments were conducted along with the potentially informative ones." https://lnkd.in/dUdRjJH View in LinkedIn