Month: September 2022

DRUG DEVELOPMENT. "Cheaper faster drug development validated by the repositioning of drugs against neglected tropical diseases. Eve integrates and automates library-screening, hit-confirmation, and lead generation through cycles of quantitative structure activity relationship learning and testing. Using econometric modelling we demonstrate that the use of AI to select compounds economically outperforms standard drug screening." https://lnkd.in/dhx5ZNk View in LinkedIn

DATA SCIENCE MACHINE. "Max Kanter, a master’s student in computer science, and his advisor, Kalyan Veeramachaneni, a research scientist at MIT’s computer science and artificial intelligence laboratory – have created the Data Science Machine to find patterns and select which data points are relevant, without the problem-solving help of humans." https://lnkd.in/dG_krDG View in LinkedIn

DEEP FEATURE SYNTHESIS. "The algorithm the machine uses to achieves this, called Deep Feature Synthesis, went up against human teams in three data science competitions. Out of 906 teams, the Machine beat 615." (MIT's Data Science Machine). https://lnkd.in/dG_krDG View in LinkedIn

VERACITY TESTS. "Meant to replace human intuition eventually when it comes to the search for buried patterns, the Data Science Machine as it is called, managed to outperform human teams in three data science competitions." https://lnkd.in/dpR5gRZ View in LinkedIn

HIGH SCORES VS HUMANS. "In 2 of the 3 competitions we beat a majority of competitors, and in the third, we achieved 94 percent of the best competitor’s score. In the best case, with an ongoing competition, we beat 85.6 percent of the teams and achieved 95.7 percent of the top submissions score." (MIT's Data Science Machine). https://lnkd.in/dG_krDG View in LinkedIn

HOURS VS MONTHS. "But the win-loss record was not the most impressive takeaway from the competitions. While teams of humans sweat their predictive algorithms for months leading up to competition, the Data Science Machine took somewhere between two and 12 hours to produce each of its entries." https://lnkd.in/dG_krDG View in LinkedIn

COMPLEMENTARY RESOURCE. "The competitive success of the Data Science Machine suggests it has a role alongside data scientists. We view the Data Science Machine as a natural complement to human intelligence." https://lnkd.in/dG_krDG View in LinkedIn

EUREQUA. "What took Newton years to calculate, Eureqa returned in a few hours on a decent desktop computer." https://lnkd.in/dEC3j_P View in LinkedIn

"IN JUST OVER a day, a powerful computer program accomplished a feat that took physicists centuries to complete: extrapolating the laws of motion from a pendulum’s swings. Developed by Cornell researchers, the program deduced the natural laws without a shred of knowledge about physics or geometry." (Eurequa). https://lnkd.in/dEC3j_P View in LinkedIn

BREAKTHROUGH MACHINE. "The research is being heralded as a potential breakthrough for science in the Petabyte Age, where computers try to find regularities in massive datasets that are too big and complex for the human mind and its standard computational tools." (Eurequa). https://lnkd.in/dEC3j_P View in LinkedIn