Month: September 2022

FIRSTS. “First it was chess. Then it was Jeopardy. Now computers are at it again, but this time they are trying to automate the scientific process itself.” http://news.vanderbilt.edu/2011/10/robot-biologist/ View in LinkedIn

AUTOMATING SCIENCE. “A major step toward this goal by demonstrating that a computer can analyze raw experimental data from a biological system and derive the basic mathematical equations that describe the way the system operates.” http://news.vanderbilt.edu/2011/10/robot-biologist/ View in LinkedIn

STUNNING EXAMPLE. “One of Eureqa’s initial achievements was identifying the basic laws of motion by analyzing the motion of a double pendulum. What took Sir Isaac Newton years to discover, Eureqa did in a few hours when running on a personal computer.” Read this several times over, please. This is massive. http://news.vanderbilt.edu/2011/10/robot-biologist/ View in LinkedIn

EUREQA. “Biology is the area where the gap between theory and data is growing the most rapidly...So it is the area in greatest need of automation. The biological system that the researchers used to test ABE is glycolysis, the primary process that produces energy in a living cell.” http://news.vanderbilt.edu/2011/10/robot-biologist/ View in LinkedIn

A PRIORI DEDUCTION. "When they fed the data into Eureqa, it derived a series of equations that were nearly identical to the known equations.” Breathtaking! http://news.vanderbilt.edu/2011/10/robot-biologist/ View in LinkedIn

HYPOTHESIS GENERATION BY ROBOT. "Adam runs yeast genetics experiments and made international headlines two years ago by making a novel scientific discovery without direct human input. This allowed the computer to generate hypotheses, then design and conduct actual experiments to test them.” http://news.vanderbilt.edu/2011/10/robot-biologist/ View in LinkedIn

GENETIC PROGRAMMING. "His starting point was an attempt to breed robot control systems using an approach modeled on natural selection, instead of having a programmer code in all the steps. Individual programming had largely broken down as robots became more complex because the robots didn’t perform correctly without extensive and time-consuming debugging.” http://news.vanderbilt.edu/2011/10/robot-biologist/ View in LinkedIn