RESEARCH - AI Dynamics

Google Researchers Advance Natural Sciences Beyond Computer Science

By

–

22 February 2023 0h36

Google researchers are exploring more than just the realms of computer science. Today we discuss some of the other exciting advances and discoveries we’ve made in the natural sciences, from biology to quantum physics. Read more at https://
goo.gle/3XSdizt

→ View original post on X — @googleai

22 February 2023

Part 7: Quantum Computing Advances in Natural Sciences Research

By

@jeffdean

–

22 February 2023 0h30

Part 7 is out, posted by @johnplattml on behalf of many, covering advances in our work on various problems in the natural sciences, including neurobiology, biochemistry, and the application of quantum computing to problems in physics.

→ View original post on X — @jeffdean

22 February 2023

ControlNet Paper: A Deep Learning Enthusiast’s Dream Abstract

By

@dotcsv

–

22 February 2023 0h27

El abstract del paper de ControlNet parece una carta a los reyes magos de cualquier fan del Deep Learning

→ View original post on X — @dotcsv

22 February 2023

Robots Learn Natural Language Communication and Real-World Skills

By

@jeffdean

–

22 February 2023 0h26

Part 6 in the series is out, discussing our work in robotics, especially allowing robots & humans to communicate naturally via language, apply common sense knowledge in real-world situations & increasing the number of low-level skills robots can perform.

→ View original post on X — @jeffdean

22 February 2023

Part 5: Scalable Algorithms, Privacy, and Causal Inference

By

@jeffdean

–

22 February 2023 0h25

Part 5 in the series is out, posted by @Mirrokhni on behalf of many, covering advances in:
· Scalable algorithms (esp. for graphs and clustering)
· Privacy and federated learning
· Market algorithms & causal inference
· Algorithmic foundations and theory

→ View original post on X — @jeffdean

22 February 2023

GTC23 Conference Features Jensen Huang Keynote on Generative AI

By

@nvidia

–

22 February 2023 0h00

GTC is making headlines! Join us March 20-23 for a news-packed keynote from founder and CEO Jensen Huang and sessions covering the latest advancements in #generativeAI, the #metaverse, robotics, cloud computing, and more. Register for free today. #GTC23 https://
nvda.ws/3lUBxzO

→ View original post on X — @nvidia

22 February 2023

PhD Student Conference Funding Challenges in Academia

By

@yitayml

–

21 February 2023 23h26

I actually paid for many conf travel/registration myself out of my own pocket as a PhD student.

→ View original post on X — @yitayml

21 February 2023

Survey on Efficient Training Methods for Transformer Architectures

By

@jeande_d

–

21 February 2023 22h19

A Survey on Efficient Training of Transformers Transformers are the one architecture driving AI research in most modalities. They require large compute resources, but more and more efficient training approaches are being proposed. A survey on the topic: https://
arxiv.org/abs/2302.01107

→ View original post on X — @jeande_d

21 February 2023

Tributing Deep Learning Pioneers Through AI Art Generation Mastery

By

@learnopencv

–

21 February 2023 22h11

Paying tribute to the Godfathers of Deep Learning as we experiment with models and techniques for our Mastering AI Art Generation courses. [Click on the image to see all three] Learn more at https://
bit.ly/GENAI #stablediffusion #midjourney #dalle2 #kickstarter

→ View original post on X — @learnopencv

21 February 2023