In a career spanning over 40 years at Tufts, Professor Emeritus Jan Pechenik has left an indelible impact on marine biology and generations of students. The Daily sat down with Pechenik to discuss the questions that have motivated his work for the past four decades and the unexpected — and rewarding — turns his teaching has taken.
If you have been active on social media over the last four months, it is very likely that you have heard about the hype of ChatGPT. You might have experimented with it or used it for an assignment. But do you know how it works? Is it going to replace your job? Is this the start of an artificial intelligence powered apocalypse?
What do encrypted messages, recognizing speech commands and running simulations to predict the weather have in common? They all rely on matrix multiplication for accurate calculations. DeepMind, an artificial intelligence company, recently developed a faster algorithm to conduct matrix multiplications based on deep reinforcement learning. This recent auto-discovery of an efficient algorithm in mathematics by another machine learning algorithm expands the purview of the uses and applications of machine learning.
If you’re passionate about baseball and are familiar with the history of the sport, you may be familiar with the player Babe Ruth and his record of 714 home runs set in 1934. This record stood strong until Hank Aaron hit his 715th home run in 1974 — a historic day for baseball and an inquisitive day for mathematicians.