https://www.quantamagazine.org/how-chain-of-thought-reasoning-helps-neural-networks-compute-20240321 How Chain-of-Thought Reasoning Helps Neural Networks ComputeBen Brubaker3/21/24 11:15 AM “Large language models do better at solving problems when they show their work. Researchers are beginning to understand why.”
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,
What I Read: Five types of thinking
https://towardsdatascience.com/five-types-of-thinking-for-a-high-performing-data-scientist-8ab70d70c23b?gi=772956cb941c Thinking about thinking (Part 1)Five types of thinking for a high performing data scientistFrom mental models to computational thinkingAnand S RaoApr 25 “As data scientists, we have to understand
What I Read: Brain ‘Rotates’ Memories to Save Them From New Sensations
https://www.quantamagazine.org/the-brain-rotates-memories-to-save-them-from-new-sensations-20210415/ The Brain ‘Rotates’ Memories to Save Them From New SensationsJordana CepelewiczStaff WriterApril 15, 2021 “Some populations of neurons simultaneously process sensations and memories. New work shows how the brain
What I Read: sub-linear deep learning algorithm
https://www.kdnuggets.com/2020/03/deep-learning-breakthrough-sub-linear-algorithm-no-gpu.html Deep Learning Breakthrough: a sub-linear deep learning algorithm that does not need a GPU?By Anshumali Shrivastava, Rice University. “Backpropagation is not an efficient algorithm…. The core idea behind the