Grzegorz Swirszcz

AI Scientist at DeepMind and a rock/metal guitar/bass player.

[Grzegorz Swirszcz @GrzegorzMS]

☺️

[Lex Fridman @lexfridman]

Congrats to @DeepMind for developing AlphaTensor, a truly remarkable application of deep reinforcement learning to algorithm discovery.

These are early steps in AI inventing new ideas in math and physics worthy of a Nobel Prize and Fields Medal.

We live in exciting times!

[Grzegorz Swirszcz @GrzegorzMS]

My fascination and journey with fast matrix multiplication - it all started during a lunch with a friend, Shmuel Winograd, and his story of Strassen and beyond.
It is a happy and a proud day for me. A bit melanholic too - wishing I could share it with Shmuel. #AlphaTensor @Nature

[Google DeepMind @GoogleDeepMind]

Today in @Nature: #AlphaTensor, an AI system for discovering novel, efficient, and exact algorithms for matrix multiplication - a building block of modern computations. AlphaTensor finds faster algorithms for many matrix sizes: https://t.co/E18DezRPTL & https://t.co/SvHgsa0SNV 1/

[Pushmeet Kohli @pushmeet]

Excited to share our team's work on the AlphaTensor agent that is able to discover previously unknown faster algorithms for Matrix Multiplication – shining a light at the potential of AI and especially RL for making progress on Computer Science itself. #AI4Science

[Alhussein Fawzi @AlhusseinFawzi]

Excited to share our paper in @Nature: We revisit the 50+ year-old maths problem with AI: how efficiently can we multiply two matrices? Surprisingly, the answer is still not known - even for 3x3 matrices! With AI, we discover many new efficient and exact algorithms. 1/13

[Julian Schrittwieser @Mononofu]

I also wrote a brief summary of our new AlphaTensor paper in my blog: https://t.co/2Nz9pws8Iu

[Google DeepMind @GoogleDeepMind]

By @AlhusseinFawzi, @matejbalog, Aja Huang, Thomas Hubert, @ber24, @BarekatainAmin, @SashaVNovikov, @franciscuto, @mononofu, @GrzegorzMS, David Silver, @demishassabis, and @pushmeet. 3/3

[Google DeepMind @GoogleDeepMind]

Starting from scratch, #AlphaTensor gradually improves from finding the “class-room” algorithm to discovering historical algorithms such as Strassen’s - eventually surpassing them. This work is an example of how AI can advance the field of algorithmic discovery. 2/

[Google DeepMind @GoogleDeepMind]

Today in @Nature: #AlphaTensor, an AI system for discovering novel, efficient, and exact algorithms for matrix multiplication - a building block of modern computations. AlphaTensor finds faster algorithms for many matrix sizes: https://t.co/E18DezRPTL & https://t.co/SvHgsa0SNV 1/

[Grzegorz Swirszcz @GrzegorzMS]

#science #ai #forbes #alphafold #proteinfolding #deepmind #research https://t.co/ylKZlsK5PM

[Grzegorz Swirszcz @GrzegorzMS]

Some thoughts and insights on ways to make deep models train, with my friends and colleagues from @DeepMind & @GoogleAI.

#DeepMind #dl #science #neuralnetworks #AI

https://t.co/01A4mmKP9W

[Grzegorz Swirszcz @GrzegorzMS]

Polish #grandmaster Jan Krzysztof Duda just won the #WorldCup in #chess ! 🇵🇱♟🏆

[Google DeepMind @GoogleDeepMind]

Today with @emblebi, we're launching the #AlphaFold Protein Structure Database, which offers the most complete and accurate picture of the human proteome, doubling humanity’s accumulated knowledge of high-accuracy human protein structures - for free: https://t.co/vtBGmTkKhy 1/

[Boris Johnson @BorisJohnson]

.@DeepMind’s announcement today with @emblebi demonstrates the very best in UK science – powered by AI, they are opening up biological data and research globally that will help accelerate transformative scientific breakthroughs for people around the world.

[Grzegorz Swirszcz @GrzegorzMS]

Awesome news! Congratulations to my colleagues from the Protein Folding team! #Breakthrough #proteinfolding #Science #DeepMind

[Google DeepMind @GoogleDeepMind]

In a major scientific breakthrough, the latest version of #AlphaFold has been recognised as a solution to one of biology's grand challenges - the “protein folding problem”. It was validated today at #CASP14, the biennial Critical Assessment of protein Structure Prediction (1/3)

[Grzegorz Swirszcz @GrzegorzMS]

Well deserved recognition for two truly spectacular mathematicians.
#abelprize #mathematics #science https://t.co/FPJHPwnpiF

[Grzegorz Swirszcz @GrzegorzMS]

Staying home is not that hard. With the technologies we have at our disposal I can still connect with my friends, and be productive.
#StayAtHomeifYouCan #youmaysavealife

[Grzegorz Swirszcz @GrzegorzMS]

@OriolVinyalsML I’ve been socially distancing myself for a few days. Not that much for sake of myself - I am lucky to be in a health condition that gives me good chance even if I get the virus. But by going out beyond necessity I might pass the virus to someone less resilient. #stayhomeifyoucan

[Oriol Vinyals @OriolVinyalsML]

Like many others, I am in social distancing mode. At the same time, we have so many tools at our disposal to not feel isolated. Any ideas or ongoing efforts to do (online) unconferences, meetups, AMAs, etc., please let everyone know!

https://t.co/EUrsUYh1xg

[Grzegorz Swirszcz @GrzegorzMS]

That moment, when you feel like posting something optimistic, and then you look outside your window.
Thank you, little green friend, for bringing smile to my face. Fly safe, 🐤
#littlebird #optimistic #thankyouforthesmileyouputonmyface

[Grzegorz Swirszcz @GrzegorzMS]

#COVID #Coronvirus #COVID19 #Covid_19 #research

[Google DeepMind @GoogleDeepMind]

Today we're sharing structure predictions for six proteins associated with the virus that causes COVID-19, generated by the most up-to-date version of our AlphaFold system. We hope this contributes to the research community’s understanding of the virus:
https://t.co/jW0SIA2b1F