MACHINE LEARNING - AI Dynamics

Google Sponsors Women in Machine Learning Panel at ICML

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28 July 2023 21h04

Google is a proud Platinum Sponsor of the Women in Machine Learning (WiML) Un-Workshop at @icmlconf
. Don't miss the panel discussion on fostering women's leadership in the realm of emerging trends and technologies, featuring @YaoQinUCSD. Learn more:

→ View original post on X — @googleai

28 July 2023

ICML Joins Journal-to-Conference Track with NeurIPS ICLR

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@hugo_larochelle

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28 July 2023 20h38

And now, I'm thrilled to announce that ICML has also agreed to continue its participation in the joint Journal-to-Conference track! Therefore, we now have all 3 conferences (NeurIPS, ICLR and ICML) committed to showcasing JMLR papers for the foreseeable future!

→ View original post on X — @hugo_larochelle

28 July 2023

Are Large Model Scaling Laws Becoming Less Predictable?

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@nathanbenaich

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28 July 2023 20h10

no more like large model scaling laws – if they keep changing these less law-like and more hypothesis like?

→ View original post on X — @nathanbenaich

28 July 2023

Scaling Laws Should Be Called Scaling Hypotheses Instead

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@nathanbenaich

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28 July 2023 19h48

feels like scaling “laws” should perhaps be scaling “hypotheses”

→ View original post on X — @nathanbenaich

28 July 2023

Synthetic Coevolution Platform Advances Protein Interaction Analysis

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@nathanbenaich

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28 July 2023 19h16

“The integration of a synthetic coevolution platform with machine learning has allowed us to interrogate a protein-protein interaction with exceptional granularity, but also to use this information prospectively. Using this approach, it is possible to revisit basic principles

→ View original post on X — @nathanbenaich

28 July 2023

Universities Need Large-Scale Research Cloud for ML

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@mit_csail

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28 July 2023 19h00

"We [must] empower universities with a large-scale research cloud to enable us to better study and understand ML." CSAIL Director Daniela Rus w/
@BostonGlobe
: https://
bit.ly/3OlqAD4

→ View original post on X — @mit_csail

28 July 2023

RT-2: Bridging Gap Between Data Analysis and Physical Robotics

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@demishassabis

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28 July 2023 18h25

Computers have long been great at complex tasks like analysing data, but not so great at simple tasks like recognizing & moving objects. With RT-2, we’re bridging that gap by helping robots interpret & interact with the world and be more useful to people.

→ View original post on X — @demishassabis

28 July 2023

MIT Researchers Use LLMs for CAD Design and Manufacturing

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@mit_csail

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28 July 2023 18h15

From text to reality: MIT researchers find new ways to use LLMs to help in design & manufacturing.

These models can convert text prompts to CAD, generate manufacturing instructions, and search for optimal designs: https://t.co/XKCbRMagZ2 pic.twitter.com/fL1PV1h9Gd
— MIT CSAIL (@MIT_CSAIL) 28 juillet 2023

From text to reality: MIT researchers find new ways to use LLMs to help in design & manufacturing. These models can convert text prompts to CAD, generate manufacturing instructions, and search for optimal designs: https://
bit.ly/3Ydvq8T

→ View original post on X — @mit_csail

28 July 2023

Google sued for allegedly stealing user data to train AI

By

@miketamir

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28 July 2023 17h37

Google hit with lawsuit alleging it stole data from millions of users to train its AI tools | CNN Business https://
cnn.it/3rInyjk #AI #MachineLearning #DeepLearning #LLMs #DataScience

→ View original post on X — @miketamir

28 July 2023