Oct. 6, 2022, 3:10 p.m. |

News on Artificial Intelligence and Machine Learning techxplore.com

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 issue summarizing the work by the team in London.

algorithms computer sciences math

Data Scientist (m/f/x/d)

@ Symanto Research GmbH & Co. KG | Spain, Germany

Data Science Sustainability Co-Op (Summer & Fall 2024)

@ O-I | Perrysburg, OH, United States

Research Scientist

@ Chevron Phillips Chemical Company | USA: Kingwood, TX, US, 77339

Data Scientist Python (Django) (m/f/d)

@ RoomPriceGenie | Hybrid Mannheim, Remote DACH, Remote Germany

Operational Transformation & Strategy - Data Operations - Associate

@ JPMorgan Chase & Co. | Mumbai, Maharashtra, India

Senior Data Scientist

@ Rocket Travel | Chicago, IL USA