Protein-language models can be used to find them faster: either by enhancing existing molecules with targeted edits or by generating entirely new ones that could provide new hope for diseases like pancreatic cancer and ALS, for which more effective drugs have been elusive.
RESEARCH
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H2O.ai Session: Kaggle Competition Winning Strategies with Mark Landry
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Missed last week's Make with http://
H2O.ai session? Watch the recording and learn from http://
H2O.ai Director of Data Science and Product, and Kaggle Grandmaster, Mark Landry as he shares winning #kaggle competition strategies! https://
youtube.com/watch?v=Ic_SdJ
oalsQ&list=PLNtMya54qvOHza7wS9y7z1OjF2cGDQgyQ&index=18&t=9s
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Addressing AI and ML Skills Gaps: New Research Insights
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Address #AI #ML Skills Gaps! New #research on state of #ArtificialIntelligence @SASsoftwareUKI Pleasure to contribute! https://
bit.ly/AIGaps https://
bit.ly/AIUKResearch #tech #innovation @dinisguarda #SAS #HR @RobMcCargow #100DaysOfCode @Paula_Piccard @Shi4Tech @baski_LA -
Academic Engagement: Supporting Visiting Scholars and Institutional Culture
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The most important thing when someone visits your institution: go to their talk. Imagine how depressing it is to have no one show up, when they traveled to get there. Also, how would they feel about that institution and its members? Academia is full of silent grudges.
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Generative AI Development: Early Stage with Few Limitations
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Generative AI continues to rapidly develop, creating a new reality. But we're only just beginning and there are few limitations. Read more about it in @Tech12news
, recent Op-ed written by our own @DanPadnos (HEB) -
text-davinci-002 lacks RLHF; ChatGPT belongs to 002 line
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We now know that text-davinci-002 doesn’t use RLHF either, and based on the model names used in API calls ChatGPT appears to be part of the 002 line, rather than 003 which uses RLHF.
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DeepMind UCL Fine-tune 70B LM for Human-aligned Statements
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DeepMind & UCL Fine-tune a 70B Parameter LM to Generate Statements Agreeable to Humans with Diverse Opinions
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Fast and Slow Thinking for Autonomous Robot Navigation
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Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained Environments Ganapini et al.: https://
arxiv.org/abs/2201.07050 #ArtificialIntelligence #DeepLearning #MachineLearning -
NeurIPS Summary with Incorrect Acceptance Rate
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Summary of NeurIPS, complete with wrong acceptance rate.
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Neuromorphic and Quantum Computing: The Future of AI
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In reality it will be Neuromorphic Computing followed by Quantum Neuromorphic Computing that changes AI and the Computing Landscape for the better https://
x.com/ipfconline1/st
/ipfconline1/status/1600203460850352152
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