https://www.quantamagazine.org/to-teach-computers-math-researchers-merge-ai-approaches-20230215/ To Teach Computers Math, Researchers Merge AI ApproachesKevin HartnettFebruary 15, 2023 “Large language models still struggle with basic reasoning tasks. Two new papers that apply machine learning to math
What I Read: More Flexible Machine Learning
https://www.quantamagazine.org/researchers-discover-a-more-flexible-approach-to-machine-learning-20230207/ Researchers Discover a More Flexible Approach to Machine LearningSteve NadisFebruary 7, 2023 ““Liquid” neural nets, based on a worm’s nervous system, can transform their underlying algorithms on the fly,
What I Read: Realtime User Actions in Recommendation
https://medium.com/pinterest-engineering/how-pinterest-leverages-realtime-user-actions-in-recommendation-to-boost-homefeed-engagement-volume-165ae2e8cde8 How Pinterest Leverages Realtime User Actions in Recommendation to Boost Homefeed Engagement VolumeXue Xia, Software Engineer, Homefeed Ranking; Neng Gu, Software Engineer, Content & User Understanding; Dhruvil Deven Badani,
What I Read: Matrix Multiplication
https://www.quantamagazine.org/ai-reveals-new-possibilities-in-matrix-multiplication-20221123/ AI Reveals New Possibilities in Matrix MultiplicationBen BrubakerNovember 23, 2022 “Inspired by the results of a game-playing neural network, mathematicians have been making unexpected advances on an age-old math
What I Learn: video quality, neural networks
https://netflixtechblog.com/for-your-eyes-only-improving-netflix-video-quality-with-neural-networks-5b8d032da09c For your eyes only: improving Netflix video quality with neural networksby Christos G. Bampis, Li-Heng Chen and Zhi LiNetflix Technology BlogNov 14 “Recently, we added another powerful tool to
What I Read: Transformers Training
https://www.borealisai.com/research-blogs/tutorial-17-transformers-iii-training/ Tutorial #17: Transformers III Training08/06/2021P. Xu, S. Prince “…we discuss challenges with transformer training dynamics and introduce some of the tricks that practitioners use to get transformers to converge.”
What I Read: New Chip, AI
https://www.quantamagazine.org/a-brain-inspired-chip-can-run-ai-with-far-less-energy-20221110/ New Chip Expands the Possibilities for AIAllison WhittenContributing WriterNovember 10, 2022 “An energy-efficient chip called NeuRRAM fixes an old design flaw to run large-scale AI algorithms on smaller devices,