Using GPT-3 to implement a `guess()` function in Python that returns whatever string seems reasonable for the context in which the function was called.
MACHINE LEARNING
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Genome-Scale Language Model Predicts Coronavirus Variants of Concern
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It is a privilege to collaborate with @arvindr_ at @argonne_lcf on genome-scale language model to predict new variants of concern for coronavirus
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AI Research Paper and Demo on Informative Drawings
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demo: https://
huggingface.co/spaces/carolin
eec/informativedrawings
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github: https://
github.com/carolineec/inf
ormative-drawings
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paper: https://
arxiv.org/abs/2203.12691 -
AI Advances in Human-Like Edge Detection with Line Drawing Models
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Human-like edge detection has been a complex problem in Computer Vision for decades, but it is getting much better:
— AI Breakfast (@AiBreakfast) 1 janvier 2023
"Learning to generate line drawings that convey geometry and semantics" – links, demo, and paper below ↓ pic.twitter.com/Vb7r4wADXmHuman-like edge detection has been a complex problem in Computer Vision for decades, but it is getting much better: "Learning to generate line drawings that convey geometry and semantics" – links, demo, and paper below ↓
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Advances in Surgical AI: Skill Assessment and Patient Outcome Prediction
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We made strides in surgical #AI which involves assessing the skill of surgeons, predicting patient outcomes, and discovering novel surgeon biomarkers based on multi-modal data and deep learning algorithms. @AjhungMD gives an excellent overview here
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ZerO: Deterministic Weight Initialization with Binary Values
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We developed the first fully deterministic weight initialization procedure for training any neural network. Our scheme, ZerO, initializes networks’ weights with only zeros and ones based on identity, and Hadamard transforms. ZerO achieves SOTA https://
arxiv.org/abs/2110.12661 -
Robust Vision Transformer Architecture Wins Semantic Segmentation Challenge
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We also developed robust vision transformer architecture, fully attention networks (FAN), with channel-based attention for robustness. We won the Semantic Segmentation Tracking of Robust Vision Challenge at ECCV. https://
arxiv.org/abs/2210.12852 -
Neural Operators Enable Single-Step Diffusion Model Image Generation
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2022 saw diffusion models for generative AI. But one downside is very slow sampling. We used neural operators to replace ODE solvers and showed that just one function evaluation is sufficient to achieve the best image generation quality. https://
arxiv.org/abs/2211.13449 -
MineDojo: Generalist AI Agents with Text Prompts in Minecraft
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Decision-Making with Generalist AI Agents: We built Minedojo framework in Minecraft with text prompts for open-ended tasks using internet-scale knowledge of videos, wiki, and text information. It was an outstanding paper at NeurIPS 2022.
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Digital Biology Foundation Model Predicts Coronavirus Variants, Wins ACM Prize
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Digital biology took off. We trained largest biological foundation model for genome-scale modeling of #coronavirus to predict new variants of concern. It won the 2022 ACM Gordon Bell Special Prize for HPC-Based COVID-19 Research.