A great pleasure! Thanks for stopping by the BigCode event
AI
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Linear-scaling quantum simulations preview at NeurIPS AI4Science workshop
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Come see a preview of our on-going work towards linear-scaling simulations of many-body quantum systems at the poster session of the #ai4science workshop at #neurips. Friday, 12-13PM, room 388. https://
sharir.org/papers/vq-nqs -
Incremental Fourier Neural Operator for Better Generalization and Efficiency
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#NeurIPS2022 come to see our poster "Incremental Fourier Neural Operator" at AI4Science Workshop on Fri. (12pm). We incrementally augment frequency modes and data resolution during the training of FNO, which brings better generalization and less computational cost. x.com/zongyili_nyu/s…
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Dimensional Modeling and Data Model Implementation Best Practices
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Design and implement various #data models with ease on our platform This blog post deep dives into dimensional modeling! Plus, walk through a live example of a physical data model implementation using our table creation and DDL best practices https://
dbricks.co/3sEhIg8 -
Grad Student Timeline Incentives Impact Career Readiness
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I can see this perspective, but ironically it seems like a negative to me. Incentivizes pushing grad students out the door, whether they feel they're ready to go or not. I'm really thankful my advisor let me stay for 6 years. What side do other folks here fall on?
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Pros and Cons of Artificial Intelligence Explained
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The Pros And Cons Of Artificial Intelligence https://
forbes.com/sites/qai/2022
/12/01/the-pros-and-cons-of-artificial-intelligence/
… #AI #MachineLearning #DataScience #IoT #serverless #womenwhocode #Robots #100DaysofCode @Shi4Tech @anijov @FmFrancoise @CatherineAdenle @enilev @JAdP #BigData #Analytics #DigitalTransformation #DeepLearning -
Meta’s AI Mastered Power-Seeking Strategy in Diplomacy Game
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Meta’s new #AI is skilled at a ruthless, power-seeking game https://
washingtonpost.com/technology/202
2/12/01/meta-diplomacy-ai-cicero/
… @washingtonpost #ArtificialIntelligence #MachineLearning #Robots #BigData #Analytics #100DaysofCode #IoT #serverless #DEVCommunity #womenwhocode #DigitalTransformation #DataScience #DeepLearning -
CASCADE: Learning World Models with Multi-Agent Reward-Free Data
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Learning General World Models in a Handful of Reward-Free Deployments.
CASCADE seeks to learn a world model by collecting data with a population of agents. @YingchenX
, @JParkerHolder
, @AldoPacchiano
, @PhilipJohnBall
, @_Oleh
, Stephen J. Roberts, @_Rockt
, @EGrefen -
SAMPLR: Minimax Regret Method for Unsupervised Environment Design
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Grounding Aleatoric Uncertainty for Unsupervised Environment Design. @MinqiJiang
, @MichaelD1729
, @JParkerHolder
, @_AndreiLupu
, Heinrich Küttler, @EGrefen
, @_Rockt
, @J_Foerst propose SAMPLR, a minimax regret UED method that optimizes the ground-truth utility function.