▪️▫️▪️▫️ Edge#144: How Many AI Neurons Does It Take to Simulate a Brain Neuron?
▪️▫️▪️▫️ Edge#144: How Many AI Neurons Does It Take to Simulate a Brain Neuron?A new research shows some shocking answers to that questionIn today’s Edge, we’d like to offer a short but insightful overview of a fascinating paper that forces us to rethink the analogies between biological and DNN neurons; you’ll also find the list of our recent recaps to catch up with during the holidays. 🍁 Happy Thanksgiving! 🍁 Only a few more days to become Premium with 30% OFF (forever!). Don’t miss out ;) Share it with your friends! And as always, thank you for reading and spreading the word❤️ 💥 What’s New in AI: How Many AI Neurons Does It Take to Simulate a Brain Neuron?Simulating the cognitive abilities of the human brain has been the goal of artificial intelligence (AI) since its early days. Not surprisingly, the most common AI architectures are inspired by interconnected neurons in the brain. Neurons are the brain's computation building blocks; understanding how they work has puzzled neuroscientists since the days of Santiago Ramon y Cajal’s “Neuron Doctrine”. In the world of AI, deep neural networks (DNNs) are the most common class of architectures inspired by the computational capabilities of neurons. One of the most challenging aspects of understanding the relationships between DNNs and the human brain is to model correspondence between neurons in both structures. We know a brain neuron is not equivalent to a DNN neuron but what are the differences from a computational standpoint? New research from the Hebrew University of Jerusalem provides a shocking answer. →read further to find out Want to read something else? Find a topic that matches your interests: This is just a small part of what we’ve covered, and there is SO MUCH interesting ahead, as the AI&ML pace of development has speeded up tremendously. You’re on the free list for TheSequence Scope and TheSequence Chat. For the full experience, become a paying subscriber to TheSequence Edge. Trusted by thousands of subscribers from the leading AI labs and universities. |
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🏗 Edge#143: Feature Stores in ML Pipelines: A Recap
Tuesday, November 23, 2021
Happy Thanksgiving week! Thank you for signing up for our free Sunday news digest. As a token of appreciation and to celebrate the holiday, we offer our Premium subscription to TheSequence Edge with 20
♟♟ Chess Learning Explainability
Sunday, November 21, 2021
Weekly news digest curated by the industry insiders
🤖Edge#142: How Microsoft Built a 530 Billion Parameter Model
Thursday, November 18, 2021
The biggest innovation behind Megatron-Turing NLG
☝️ CoreWeave is allocating $50 million to scale the best compute infrastructure for ML*
Wednesday, November 17, 2021
How are they going to do it? Read along
🩺 Edge#141: MLOPs – Model Monitoring
Tuesday, November 16, 2021
plus the building blocks of interpretability and a few ML monitoring platforms to keep up with
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