Michael Craig

41 posts

Michael Craig

Michael Craig

@Michael_Craig_

Tweets about science maybe

Katılım Ağustos 2010
413 Takip Edilen241 Takipçiler
Jonathan Gorard
Jonathan Gorard@getjonwithit·
I think one of the conclusions we should draw from the tremendous success of LLMs is how much of human knowledge and society exists at very low levels of Kolmogorov complexity. We are entering an era where the minimal representation of a human cultural artifact... (1/12)
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Tian Xie
Tian Xie@xie_tian·
Excited to finally announce the publication of MatterGen on Nature. MatterGen represents a new paradigm of materials design with generative AI. We are releasing the training and inference code of MatterGen under MIT license. Look forward to seeing how the community will use the tool and build on top of it.
Microsoft Research@MSFTResearch

Microsoft researchers introduce MatterGen, a model that can discover new materials tailored to specific needs—like efficient solar cells or CO2 recycling—advancing progress beyond trial-and-error experiments. msft.it/6012U8zX8

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Ziming Liu
Ziming Liu@ZimingLiu11·
MLPs are so foundational, but are there alternatives? MLPs place activation functions on neurons, but can we instead place (learnable) activation functions on weights? Yes, we KAN! We propose Kolmogorov-Arnold Networks (KAN), which are more accurate and interpretable than MLPs.🧵
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Nantas Nardelli
Nantas Nardelli@nntsn·
I’m at @raais today! Really looking forward to catching up with old friends and colleagues, and make new ones :) Thanks @nathanbenaich for the invite. Come talk to me if you’d like to know how we can apply AI to impactfully and quickly mitigate climate change.
Nathan Benaich@nathanbenaich

👋 We're live with the 7th Research and Applied AI Summit @raais! 📺 You can follow along online via this live stream link: youtube.com/live/RHfSBsYOI…

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Michael Craig
Michael Craig@Michael_Craig_·
Happy to share this work. Using quadratic equations to represent how individual elements prefer specific oxidation states, we predict the stability of binary oxides with comparable accuracy to deep learning methods. We even gave the method a fun name! #compchem
Max García-Melchor@MGarcia_Melchor

Check out @Michael_Craig_'s latest work, just accepted in @CatalysisSciTec, introducing #FEFOS!🤩 doi.org/10.1039/D3CY00… #compchem @CCEM_Group @TCD_Chemistry @ambercentre @IrishResearch #materialsdiscovery #catalysisresearch

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Max García-Melchor
Max García-Melchor@MGarcia_Melchor·
Huge congrats to our new Dr @Michael_Craig_!! It has been an incredible journey with lots of great moments, fun times, and exciting scientific discussions! Thanks for these 4 years Michael! @CCEM_Group will always be your home! 🤗
García-Melchor Lab@CCEM_Group

We have a new Dr in the group!🤩 Congratulations @Michael_Craig_ for completing his viva today! @TCD_Chemistry @MGarcia_Melchor Amazing job, we are so proud of you! 🎓 And thank you to the awesome examiners @Graeme_W_Watson and Jan Rossmeisl, and Robert James Baker for chairing!

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Nantas Nardelli
Nantas Nardelli@nntsn·
We at @carbon_re are extremely excited to support @ClimateChangeAI! One of the most impactful things we can do is getting more people to work on climate, and CCAI’s mission and operations will be instrumental in getting the AI community to work towards improving the status quo.
Climate Change AI@ClimateChangeAI

We are excited to announce our new partnership with @carbon_re! Carbon Re aims to reduce the large carbon footprint of energy-intensive industries using machine learning & control and will support @ClimateChangeAI in current and future activities. Let's get to work!

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Climate Change AI
Climate Change AI@ClimateChangeAI·
We are excited to announce our new partnership with @carbon_re! Carbon Re aims to reduce the large carbon footprint of energy-intensive industries using machine learning & control and will support @ClimateChangeAI in current and future activities. Let's get to work!
Climate Change AI tweet media
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Xavier Solans
Xavier Solans@XSolansMonfort·
The organizing committee of the symposium on Catalysis For Sustainable Chemistry is delighted to announce that the recipients of the prizes for the best oral presentations are Sara Goberna @SaraGoFer and Michael Craig @Michael_Craig_ Congratulations! @seloxcat @MGarcia_Melchor
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Michael Craig
Michael Craig@Michael_Craig_·
@toniobuonassisi @S_Isaac_P_Tian @lonepair @dannyzekunren very interesting! Suppose a good composition-based model of E_f would be handling cases where, eg. Cr is oct or tet in ternary oxides (tet Cr in CrMnO4 mp-754276/oct Cr in CrWO4 mp-18785). could say this is dictated by preferred oxidation numbers in Mn/W and thereby composition
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Google DeepMind
Google DeepMind@GoogleDeepMind·
Introducing #AlphaCode: a system that can compete at average human level in competitive coding competitions like @codeforces. An exciting leap in AI problem-solving capabilities, combining many advances in machine learning! Read more: dpmd.ai/Alpha-Code 1/
Google DeepMind tweet media
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Alessandro Lunghi
Alessandro Lunghi@AleLunghi·
plsRT. If you are interested in applying for a prestigious research fellowship at @TCD_physics @ambercentre in the area of spin qubits-spin relaxation-electronic structure theory-machine learning modelling, please drop me an email!
ADMIRE-MSCA Fellowships@AdmireMsca

Delighted to announce that #ADMIRE #Call2 opens next week! Opens 01 Feb 2022. Deadline 01 May 2022. Full details on admire-msca.eu! #JobFairy #Research #Materials #PostDocJobs @ambercentre @MSCActions @REA_research @scienceirel @mariescurie_ire @PostdocJobs @FindAPostDoc

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