Hyounggyu Kim
@hyounggyu.bsky.social
Reposted by Hyounggyu Kim
I created this Starter Pack for PhDs and Postdocs in Structural Biology to help connect with colleagues who share similar interests and concerns in the field.
Feel free to recommend people or yourself! I'll be adding people 💪🏼😁
bsky.app/starter-pack...
Feel free to recommend people or yourself! I'll be adding people 💪🏼😁
bsky.app/starter-pack...
November 16, 2024 at 10:38 PM
I created this Starter Pack for PhDs and Postdocs in Structural Biology to help connect with colleagues who share similar interests and concerns in the field.
Feel free to recommend people or yourself! I'll be adding people 💪🏼😁
bsky.app/starter-pack...
Feel free to recommend people or yourself! I'll be adding people 💪🏼😁
bsky.app/starter-pack...
Reposted by Hyounggyu Kim
MIT researchers introduce Boltz-1, a fully open-source model for predicting biomolecular structures
With models like AlphaFold3 limited to academic research, the team built an equivalent alternative, to encourage innovation more broadly
www.eurekalert.org/news-release...
With models like AlphaFold3 limited to academic research, the team built an equivalent alternative, to encourage innovation more broadly
www.eurekalert.org/news-release...
MIT researchers introduce Boltz-1, a fully open-source model for predicting biomolecular structures
Researchers in the MIT Jameel Clinic for Machine Learning in Health developed a fully open-source biomolecular structure prediction model that achieves state-of-the-art performance, at the level of Al...
www.eurekalert.org
December 22, 2024 at 5:33 PM
MIT researchers introduce Boltz-1, a fully open-source model for predicting biomolecular structures
With models like AlphaFold3 limited to academic research, the team built an equivalent alternative, to encourage innovation more broadly
www.eurekalert.org/news-release...
With models like AlphaFold3 limited to academic research, the team built an equivalent alternative, to encourage innovation more broadly
www.eurekalert.org/news-release...
Reposted by Hyounggyu Kim
2025 will be the year of AI for science
Leveraging all the things we've recently learned training AI models for 1000x impact in science
and this will need data!
More details: huggingface.co/blog/lemater...
Thread:
...
Leveraging all the things we've recently learned training AI models for 1000x impact in science
and this will need data!
More details: huggingface.co/blog/lemater...
Thread:
...
December 14, 2024 at 10:22 AM
2025 will be the year of AI for science
Leveraging all the things we've recently learned training AI models for 1000x impact in science
and this will need data!
More details: huggingface.co/blog/lemater...
Thread:
...
Leveraging all the things we've recently learned training AI models for 1000x impact in science
and this will need data!
More details: huggingface.co/blog/lemater...
Thread:
...
Reposted by Hyounggyu Kim
Hi Bluesky! I’m an Assist Prof at UCSB’s Geometric Intelligence Lab @geometric-intel.bsky.social, decoding the geometric signatures of intelligence 🧠✨
We bridge physics, neuro, math & AI to uncover how intelligence emerges + build intelligent models to advance the brain sciences!
gi.ece.ucsb.edu
We bridge physics, neuro, math & AI to uncover how intelligence emerges + build intelligent models to advance the brain sciences!
gi.ece.ucsb.edu
The Geometric Intelligence Lab @ UC Santa Barbara
The mission of the Geometric Intelligence Lab is to reveal the geometric signatures of natural and artificial intelligence.
gi.ece.ucsb.edu
December 2, 2024 at 8:17 PM
Hi Bluesky! I’m an Assist Prof at UCSB’s Geometric Intelligence Lab @geometric-intel.bsky.social, decoding the geometric signatures of intelligence 🧠✨
We bridge physics, neuro, math & AI to uncover how intelligence emerges + build intelligent models to advance the brain sciences!
gi.ece.ucsb.edu
We bridge physics, neuro, math & AI to uncover how intelligence emerges + build intelligent models to advance the brain sciences!
gi.ece.ucsb.edu
Reposted by Hyounggyu Kim
Hi everyone, I am excited to share our large-scale survey study with 800+ researchers, which reveals researchers’ usage and perceptions of LLMs as research tools, and how the usage and perceptions differ based on demographics.
See results in comments!
🔗 Arxiv link: arxiv.org/abs/2411.05025
See results in comments!
🔗 Arxiv link: arxiv.org/abs/2411.05025
LLMs as Research Tools: A Large Scale Survey of Researchers' Usage and Perceptions
The rise of large language models (LLMs) has led many researchers to consider their usage for scientific work. Some have found benefits using LLMs to augment or automate aspects of their research pipe...
arxiv.org
December 2, 2024 at 7:45 PM
Hi everyone, I am excited to share our large-scale survey study with 800+ researchers, which reveals researchers’ usage and perceptions of LLMs as research tools, and how the usage and perceptions differ based on demographics.
See results in comments!
🔗 Arxiv link: arxiv.org/abs/2411.05025
See results in comments!
🔗 Arxiv link: arxiv.org/abs/2411.05025
Reposted by Hyounggyu Kim
Cool work and a beautiful poster (again) from my academic grandchild @annalenakofler.bsky.social leveraging previous work to make the underlying simulation tools differentiable.
1/ 🚀 New Paper Alert: Spotlight at NeurIPS ML and the Physical Sciences Workshop!
We explore the intersection of high-energy physics and machine learning. What's the challenge we’re targeting, and why does it matter? Let's dive in! 🧵👇
🚀 #AI #MachineLearning #Physics #ML4PS #NeurIPS #AcademicSky
We explore the intersection of high-energy physics and machine learning. What's the challenge we’re targeting, and why does it matter? Let's dive in! 🧵👇
🚀 #AI #MachineLearning #Physics #ML4PS #NeurIPS #AcademicSky
December 2, 2024 at 5:47 PM
Cool work and a beautiful poster (again) from my academic grandchild @annalenakofler.bsky.social leveraging previous work to make the underlying simulation tools differentiable.
Reposted by Hyounggyu Kim
Super excited and proud of the new additions to Aurora! Check them out here :)
🎉Excited to announce major new breakthroughs in our Aurora foundation model! Our team (@cbodnar.com, @wessel.ai, @megstanley.bsky.social, @a-lucic.bsky.social, Anna Vaughan) has achieved unprecedented results across multiple Earth system forecasting tasks. Here's what's new... 🧵
November 27, 2024 at 9:37 PM
Super excited and proud of the new additions to Aurora! Check them out here :)
Reposted by Hyounggyu Kim
Google Gemini’s Imagen 3 lets players design their own chess pieces
Google Gemini’s Imagen 3 lets players design their own chess pieces
Google Labs, the experimental arm of the tech giant, has introduced a new online project that offers an entertaining variation of the game of chess. The web experiment is named GenChess, which, as the name implies, uses Gemini Imagen 3, Google’s image…
tcrn.ch
November 27, 2024 at 6:24 PM
Google Gemini’s Imagen 3 lets players design their own chess pieces
Reposted by Hyounggyu Kim
InterPLM: Discovering Interpretable Features in Protein Language Models via Sparse Autoencoders
InterPLM uses sparse autoencoders (SAEs) to extract interpretable features from ESM-2 embeddings, revealing thousands of features linked to biological concepts, surpassing individual neuron ... (1/8)
InterPLM uses sparse autoencoders (SAEs) to extract interpretable features from ESM-2 embeddings, revealing thousands of features linked to biological concepts, surpassing individual neuron ... (1/8)
November 26, 2024 at 5:28 PM
InterPLM: Discovering Interpretable Features in Protein Language Models via Sparse Autoencoders
InterPLM uses sparse autoencoders (SAEs) to extract interpretable features from ESM-2 embeddings, revealing thousands of features linked to biological concepts, surpassing individual neuron ... (1/8)
InterPLM uses sparse autoencoders (SAEs) to extract interpretable features from ESM-2 embeddings, revealing thousands of features linked to biological concepts, surpassing individual neuron ... (1/8)
Reposted by Hyounggyu Kim
DeepSpeed-Domino just came out, a communication-free LLM training engine with supporting tensor parallel. We are very glad to be part of this exciting project with DeepSpeed team.
Code: github.com/microsoft/De...
Paper: arxiv.org/abs/2409.15241
Code: github.com/microsoft/De...
Paper: arxiv.org/abs/2409.15241
DeepSpeed/blogs/deepspeed-domino at master · microsoft/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective. - microsoft/DeepSpeed
github.com
November 25, 2024 at 9:05 PM
DeepSpeed-Domino just came out, a communication-free LLM training engine with supporting tensor parallel. We are very glad to be part of this exciting project with DeepSpeed team.
Code: github.com/microsoft/De...
Paper: arxiv.org/abs/2409.15241
Code: github.com/microsoft/De...
Paper: arxiv.org/abs/2409.15241
Reposted by Hyounggyu Kim
I'm making a list of AI for Science researchers on bluesky — let me know if I missed you / if you'd like to join!
go.bsky.app/AcP9Lix
go.bsky.app/AcP9Lix
November 10, 2024 at 12:11 AM
I'm making a list of AI for Science researchers on bluesky — let me know if I missed you / if you'd like to join!
go.bsky.app/AcP9Lix
go.bsky.app/AcP9Lix
Reposted by Hyounggyu Kim
𝗗𝗼𝗲𝘀 𝗮𝘂𝘁𝗼𝗿𝗲𝗴𝗿𝗲𝘀𝘀𝗶𝘃𝗲 𝗽𝗿𝗲-𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝘄𝗼𝗿𝗸 𝗳𝗼𝗿 𝘃𝗶𝘀𝗶𝗼𝗻? 🤔
Delighted to share AIMv2, a family of strong, scalable, and open vision encoders that excel at multimodal understanding, recognition, and grounding 🧵
paper: arxiv.org/abs/2411.14402
code: github.com/apple/ml-aim
HF: huggingface.co/collections/...
Delighted to share AIMv2, a family of strong, scalable, and open vision encoders that excel at multimodal understanding, recognition, and grounding 🧵
paper: arxiv.org/abs/2411.14402
code: github.com/apple/ml-aim
HF: huggingface.co/collections/...
November 22, 2024 at 8:32 AM
𝗗𝗼𝗲𝘀 𝗮𝘂𝘁𝗼𝗿𝗲𝗴𝗿𝗲𝘀𝘀𝗶𝘃𝗲 𝗽𝗿𝗲-𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝘄𝗼𝗿𝗸 𝗳𝗼𝗿 𝘃𝗶𝘀𝗶𝗼𝗻? 🤔
Delighted to share AIMv2, a family of strong, scalable, and open vision encoders that excel at multimodal understanding, recognition, and grounding 🧵
paper: arxiv.org/abs/2411.14402
code: github.com/apple/ml-aim
HF: huggingface.co/collections/...
Delighted to share AIMv2, a family of strong, scalable, and open vision encoders that excel at multimodal understanding, recognition, and grounding 🧵
paper: arxiv.org/abs/2411.14402
code: github.com/apple/ml-aim
HF: huggingface.co/collections/...
Reposted by Hyounggyu Kim
LlaMa-Mesh is nice and all, but running in blender. Now, we are cooking!
Source: @dylan_ebert_ on X. An official @huggingface.bsky.social release soon.
Source: @dylan_ebert_ on X. An official @huggingface.bsky.social release soon.
November 22, 2024 at 8:20 PM
LlaMa-Mesh is nice and all, but running in blender. Now, we are cooking!
Source: @dylan_ebert_ on X. An official @huggingface.bsky.social release soon.
Source: @dylan_ebert_ on X. An official @huggingface.bsky.social release soon.
Reposted by Hyounggyu Kim
1/ Introducing ᴏᴘᴇɴꜱᴄʜᴏʟᴀʀ: a retrieval-augmented LM to help scientists synthesize knowledge 📚
@uwnlp.bsky.social & Ai2
With open models & 45M-paper datastores, it outperforms proprietary systems & match human experts.
Try out our demo!
openscholar.allen.ai
@uwnlp.bsky.social & Ai2
With open models & 45M-paper datastores, it outperforms proprietary systems & match human experts.
Try out our demo!
openscholar.allen.ai
November 19, 2024 at 4:30 PM
1/ Introducing ᴏᴘᴇɴꜱᴄʜᴏʟᴀʀ: a retrieval-augmented LM to help scientists synthesize knowledge 📚
@uwnlp.bsky.social & Ai2
With open models & 45M-paper datastores, it outperforms proprietary systems & match human experts.
Try out our demo!
openscholar.allen.ai
@uwnlp.bsky.social & Ai2
With open models & 45M-paper datastores, it outperforms proprietary systems & match human experts.
Try out our demo!
openscholar.allen.ai
Reposted by Hyounggyu Kim
I'm super excited to share that our work on AlphaQubit, a high accuracy neural network quantum error correction decoder, is now published in Nature! www.nature.com/articles/d41...
Quantum computing: physics–AI collaboration quashes quantum errors
Machine-learning strategy for quantum error correction.
www.nature.com
November 20, 2024 at 4:44 PM
I'm super excited to share that our work on AlphaQubit, a high accuracy neural network quantum error correction decoder, is now published in Nature! www.nature.com/articles/d41...