AI is a powerful tool for studying the human genome. But its recent popularity has inundated the field with innovation. With so many options, it’s hard to know which AI algorithms work best. Cold Spring Harbor Laboratory computational scientist Peter Koo and his team have come up with a solution called GOPHER, which systematically compares AI algorithms and evaluates their reliability, accuracy, and performance.
A team of researchers at Google's DeepMind, London, has found that AI can find faster algorithms to solve matrix multiplication problems. In their paper published in the journal Nature, the group describes using reinforcement learning to improve math-based algorithms. A Research Briefing has also been published in the same journal…