Benjamin Carr, Ph.D. 👨🏻‍💻🧬Dec 28, 2023
#Google #DeepMind used a #largelanguagemodel (#LLM) to solve an unsolvable #math problem
First #AlphaTensor found a way to speed up a calculation at the heart of many different kinds of #code, beating a 50-year record. Then #AlphaDev found ways to make key algorithms used trillions of times a day run faster.
They had to throw away most of what it produced but there was gold among the garbage. https://www.technologyreview.com/2023/12/14/1085318/google-deepmind-large-language-model-solve-unsolvable-math-problem-cap-set/
Google DeepMind used a large language model to solve an unsolved math problem

They had to throw away most of what it produced but there was gold among the garbage.

MIT Technology Review
Show threadVictoria Stuart 🇨🇦 🏳️‍⚧️Jun 7, 2023

The application of game-playing GPU to ML matrix multiplication changed ML. ...

Google DeepMind - AlphaZero - AlphaTensor

Discovering faster matrix multiplication algorithms with reinforcement learning
https://www.nature.com/articles/s41586-022-05172-4

#AlphaTensor

Discovering faster matrix multiplication algorithms with reinforcement learning - Nature

A reinforcement learning approach based on AlphaZero is used to discover efficient and provably correct algorithms for matrix multiplication, finding faster algorithms for a variety of matrix sizes.

Nature
The Triangle AgencyApr 5, 2023
Discovering novel algorithms with AlphaTensor https://triangleagency.co.uk/discovering-novel-algorithms-with-alphatensor/?utm_source=dlvr.it&utm_medium=mastodon #TheTriangleAgencyNews #Algorithms #AlphaTensor #Discovering
Discovering novel algorithms with AlphaTensor - The Triangle Agency

Click the link to discover all our marketing tools and unlimited access B2B email leads. Leads Vault First extension of AlphaZero to mathematics unlocks new possibilities for research Algorithms have helped mathematicians perform fundamental operations for thousands of years. Ancient Egyptians devised an algorithm for multiplying two numbers without the need of a multiplication table. […]

The Triangle Agency
Lukas BrauschJan 5, 2023
@achim I agree that most probably #ChatGPT won't help us solve the climate crisis or world hunger. At least not in a direct way. But I also deem it a bit unfair to dismiss all AI technologies as baseless hype without any scientific merit. #AlphaFold changed protein folding research forever, and #AlphaTensor recently found a faster matrix multiplication algorithm (https://www.heise.de/news/AlphaTensor-AI-system-speeds-up-matrix-multiplication-with-new-algorithm-7288780.html). Thus, I would be more than happy to see the advent of a coding AI advancing #OpenSource developments. :)
AlphaTensor: AI system speeds up matrix multiplication with new algorithm

With Deep Reinforcement Learning, DeepMind has discovered an algorithm no human thought of. It is supposed to significantly accelerate matrix multiplication.

heise online
Knowledge ZoneDec 23, 2022

#ITByte: #Google #DeepMind’s #AlphaTensor, pioneer in AI-driven mathematical innovation, developed a novel matrix multiplication #Algorithm.

Know more...

https://knowledgezone.co.in/posts/63a4099f11b47911038ac05a

Discovering Algorithms with AlphaTensor

Google DeepMind’s AlphaTensor, pioneer in AI-driven mathematical innovation, developed a novel matrix multiplication algorithm.

Knowledge Zone
icarlNov 29, 2022

Tomorrow 5pm Alhussein Fawzi
will talk about #AlphaTensor discovering faster matrix multiplication algorithms, the #Maths breakthrough from DeepMind with reinforcement learning.

Register in person (London) or online:
https://eventbrite.com/e/imperial-college-icarl-seminars-alhussein-fawzi-deepmind-tickets-451788921827?aff=estw&utm-campaign=social&utm-content=attendeeshare&utm-medium=discovery&utm-source=tw&utm-term=checkoutwidge
#ArtificialIntelligence
#ImperialCollegeLondon

Imperial College ICARL seminars - Alhussein Fawzi, DeepMind

AlphaTensor: Discovering faster matrix multiplication algorithms with reinforcement learning

Eventbrite
Borja G. LeónNov 23, 2022

One week for Alhussein Fawzi
talk at the @icarl research spotlight session about #AlphaTensor @Nature the recent #Math breakthrough from
DeepMind through reinforcement learning.

You can attend in person (London) or online. Register here!
https://eventbrite.com/e/imperial-college-icarl-seminars-alhussein-fawzi-deepmind-tickets-451788921827?aff=estw&utm-campaign=social&utm-content=attendeeshare&utm-medium=discovery&utm-source=tw&utm-term=checkoutwidge

#artificialintelligence

Imperial College ICARL seminars - Alhussein Fawzi, DeepMind

AlphaTensor: Discovering faster matrix multiplication algorithms with reinforcement learning

Eventbrite
John MayNov 16, 2022
When ever I see a cool new result in #ComputationalMath, I like to see if I can replicate it. So, last month when that Nature article came out about #MatrixMultiplication formulas from #AlphaTensor I set out see if I could get their formulas and verify them symbolically.
I was able to do that and of course they were right. But I was excited to see Kauers and Moosbauer publish a response a couple days later. So, here's their results replicated in a Maple Jupyter notebook https://github.com/johnpmay/MapleSnippets/blob/main/KMtoFFM.ipynb
MapleSnippets/KMtoFFM.ipynb at main · johnpmay/MapleSnippets

Snippets of interesting Maple code. Contribute to johnpmay/MapleSnippets development by creating an account on GitHub.

GitHub
FelixCLCNov 14, 2022

Finally got a chance to review the #AlphaTensor paper from @AlhusseinFawzi and team @DeepMind. Interesting piece and trajectory.
But the response from @ManuelKauers and @jakobmoosbauer in their paper "FBHHRBNRSSSHK-ALGORITHM", beating Deepmind's 5x5 matmul by 1.
The abstract reads somewhere between a tongue and cheek, "lets poke fun at this" comment and a literal shitpost, and I’m not over it.

The question of course is how much @googlecloud time does @DeepMind now get to take back the record?

Show threadGranthamNov 12, 2022
@ben
Families of specialized hardware becomes normalized and increases flops/sec by >10x.
Matrix algebra becomes 50% more efficient with new algorithms #AlphaTensor.
Such specifications get abstracted into #Jax … TF and Torch become deprecated.
Early proof-of-concept advancements in RL lead by #selfsupervised learning on how-to videos.
Generative AI becomes commonplace in CGI, GameDev, WebDev, Marketing for economic reasons, displacing many creatives.