Pankaj Sharma is one of the world's premier speakers on Leadership and Personal Mastery. As a presenter, Sharma has the rare ability to electrify an audience yet deliver uncommonly original and useful insights that lead to individuals doing their best work, teams providing superb results and organizations becoming unbeatable.
Pankaj Sharma is also a Research Scientist.
Friday, February 18, 2022
Machine Learning Becomes a Mathematical Collaborator
Two recent collaborations between mathematicians and DeepMind demonstrate AI's potential to help researchers generate new mathematical conjectures.
Machine Learning Becomes a Mathematical Collaborator
By KELSEY HOUSTON-EDWARDS
Two recent collaborations between mathematicians and DeepMind demonstrate the potential of machine learning to help researchers generate new mathematical conjectures.
A Billion Years Before Sex, Ancient Cells Were Equipped for It
By JAKE BUEHLER
Molecular detective work is zeroing in on the origins of sexual reproduction. The protein tools for cell mergers seem to have long predated sex — so what were they doing?
AI Overcomes Stumbling Block on Brain-Inspired Hardware
By ALLISON WHITTEN
The biggest neural networks consume nearly as much power as five cars do over their lifetimes. New work may help bring the brain's energy-efficient computing to AI.
Podcast hosted by SUSAN VALOT; Story by JORDANA CEPELEWICZ
Decades ago, a mathematician posed a warmup problem for some of the most difficult questions about prime numbers. It turned out to be just as difficult to solve, until now.
Narrowing a Massive Mystery A new measurement of the neutrino's mass places the tightest bound yet on its upper limit, at just 0.8 eV. Davide Castelvecchi reports for Nature on the newest result from the KATRIN collaboration. Figuring out the mass of the neutrino could help solve big mysteries about the Standard Model of particle physics. The KATRIN experiment is trying to do just that, Marcus Woo wrote for Quanta in 2019.
Putting the Art in Artificial Intelligence Researchers are using AI for creative tasks like painting and composing original music, reports Richard Moss for Science News. Some think that injecting creativity into AI algorithms will be the key steppingstone to building truly intelligent machines. For an algorithm's solutions to be creative and open-ended, the problems must be open-ended, too. Matthew Hutson wrote about it for Quanta in 2019.
