So proud of the team behind #AlphaCode, published today @ScienceMagazine
! Paper: http://
scim.ag/Nn
MACHINE LEARNING
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AlphaCode AI System Published in Science Magazine
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Microsoft Sponsors Purdue Data Science for Good Competition
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I was recently interviewed as part of Microsoft's sponsoring Purdue University's case competition, "Data Science for Good". I was on the judging panel. Practical AI: Machine Learning, Data Science: AI competitions & cloud resources on Apple Podcasts https://
apple.co/3FCs4ob -

Meta AI CICERO Team Hosts Reddit AMA Session
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Starting now! The #CICERObyMetaAI team is answering your questions on Reddit. Ask us anything — join the conversation in the thread on r/machinelearning https://
bit.ly/3VVtoZf -
Low-code ML approaches for building deep learning image classification models
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Low-code declarative #ML approaches make it easy to build complex #deeplearning models in minutes. Don't miss our webinar for a deep dive into how to build an end-to-end image classification system. And, it's a fun use case "Santavision"! https://
pbase.ai/3uvA046 -
FNO Integration into Diffusion Models Research
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Indeed, this is very interesting. We have recently incorporated FNO into diffusion models https://
arxiv.org/abs/2211.13449 -
Whisper Model 8-bit Loading: Memory-Efficient Inference
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Like all the models on the transformers models, all Whisper checkpoints can be loaded in a memory-efficient way! With load_in_8bit=True you can load the model with 8-bit precision. P.S. You can load a Whisper-large model < 6.6 gig VRAM
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DeepONets Modification to Function-to-Function Neural Operators
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DeepONets were originally defined on a fixed input grid and hence, do not fall under operators where both inputs and outputs are functions. We can convert it into a neural operator through some modifications. See proposition 5 in https://
arxiv.org/pdf/2108.08481
.pdf
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Full Machine Learning Project Data Visualization with Matplotlib
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Full Machine Learning Project — Data Visualization with Matplotlib (Part 3) #DataScience
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Amr El-Ashmawi Presents on Compute Convergence at AI Summit
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TODAY at #AISummit's Headliner Stage–don't miss Amr El-Ashmawi's presentation at 2pm on compute convergence! #ML #artificialintelligence #computing
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Sanyam Bhutani Presents H2O Hydrogen Torch at H2O World Sydney
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Sanyam Bhutani (
@bhutanisanyam1
), http://
H2O.ai Senior Data Scientist, and Kaggle Grandmaster showcases H2O Hydrogen Torch during the Technical Track sessions at H2O World Sydney: https://
youtube.com/watch?v=BzI5vz
18zck&list=PLNtMya54qvOErZkpKECPTC3FD-0rna4wy&index=12&t=4s
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