In new #Communications #research @partnerforce it’s #SDGs #impact to fore with these all ranked as very | extremely important Close #digitaldivide 84% Social #responsibility 80% #carbon Accounting 79% See https://
sforce.co/3S8uVrZ #5G #SalesForcePartner #data #SDGs
RESEARCH
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SDGs Impact in Communications Research Rankings Highlight Digital Divide
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Large-scale metabolite study reveals human metabolic pathway patterns
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A simplified map of human metabolic pathways 😉
And a new study of over 900 metabolites assessed in ~20,000 people @NatureMedicine https://
nature.com/articles/s4159
1-022-02046-0
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AI and Data Transforming Drug Development at CNS Summit 2022
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Are you going to be at #cnssummit2022 next week in Florida? To build more effective treatments faster, drug, therapeutics and vaccine companies are using #AI and #data iteratively to improve understanding of diseases and patients. From feasibility/ site…
https://
lnkd.in/gS2K_NXW -
Survivorship Bias and Superstition in Startup Learning
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Learning from successful founders & companies often leads us into traps. We pick bad examples and learn the wrong lessons. Worse, even knowing that we make these mistakes doesn't seem to help much. I discuss the research, and some potential solutions: https://
open.substack.com/pub/oneusefult
hing/p/when-survivorship-bias-meets-superstitious?r=i5f7&utm_campaign=post&utm_medium=web
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Neural bandwidth: All brain nerve input fits through single Ethernet cable
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All nerve input to the brain combined could run down a single Gb Ethernet cable, and only an insignificant fraction is retained in any way.
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DAAM: Interpreting Stable Diffusion Cross Attention
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What the DAAM: Interpreting Stable Diffusion Using Cross Attention Tang et al.: https://
arxiv.org/abs/2210.04885 #ArtificialIntelligence #DeepLearning #MachineLearning -
AI vs Machine Learning vs Deep Learning: Understanding the Differences
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#AI Vs #MachineLearning Vs #DeepLearning
Via @kenovy_it Artificial Intelligence aids in creating intelligent machines.
ML is a subset of AI used to build AI-driven applications.
DL is a subset of ML, it uses massive sets of #data and complex algorithms to train models. -
Training Degeneracy in Rectangular Weight Matrices Without Hadamard
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This is the training degeneracy that @jiawzhao is talking about if you only do identity initialization and not Hadamard for rectangular weight matrices
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ZerO Initialization and Hadamard Transforms for Rectangular Matrices
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And an overview of how ZerO initialization can overcome degeneracy by using Hadamard transforms for rectangular weight matrices
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ZerO Initialization: Neural Networks with Only Zeros and Ones
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ZerO Initialization: Initializing Neural Networks with only Zeros and Ones A fully deterministic initialization scheme which sets the weights to only 0s and 1s can achieve SOTA on various datasets including ImageNet. Maybe random weights are unnecessary. https://
openreview.net/forum?id=1AxQp
KmiTc
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