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.
Introduction Classification algorithms are at the heart of data science, helping us categorize and organize data into pre-defined classes. These algorithms are used in a wide array of applications, from spam detection and medical diagnosis to image recognition and customer profiling. It is for this reason that those new to…
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…
A Private Repetition algorithm takes as input a differentially private algorithm with constant success probability and boosts it to one that succeeds with high probability. These algorithms are closely related to private metaselection algorithms that compete with the best of many private algorithms, and private hyperparameter tuning algorithms that compete…