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Nadchodzące wydarzenia (4)
Zobacz wszystkie- Wydarzenie w sieci104 uczestników z 110 organizujących grup[AI Alliance Materials] MatExpert, a generative AI agent for inorganic materialsLink widoczny dla uczestników wydarzenia
External registration
https://44725920.hs-sites.com/ai-alliance-material-chemistry-webinar-51-0———
MatExpert: Decomposing Materials Discovery by Mimicking Human Experts
For accelerated inorganic materials design, a framework capable of AI-driven exploration of the vast materials spaces across the periodic table is required. In this talk, I will introduce MatAgent, a generative AI agent for inorganic materials design mimicking the reasoning process of human experts. It combines tool-assisted LLM-driven reasoning for material composition proposals with a generative model for crystal structure estimation and a predictive model for material property prediction, enabling feedback-driven targeted materials generation in an interpretable manner.Speaker
Qianggang Ding, currently completing my Ph.D. in Computer Science at the University of Montreal and Mila, with a focus on topics of AI for Science.Research publication
https://arxiv.org/abs/2410.21317About the AI Alliance
The AI Alliance is an international community of researchers, developers and organizational leaders committed to support and enhance open innovation across the AI technology landscape to accelerate progress, improve safety, security and trust in AI, and maximize benefits to people and society everywhere. Members of the AI Alliance believe that open innovation is essential to develop and achieve safe and responsible AI that benefit society rather than benefit a select few big players. - Wydarzenie w sieci277 uczestników z 111 organizujących grup[AI Alliance] GneissWeb: Preparing High Quality Data for LLMs at ScaleLink widoczny dla uczestników wydarzenia
Details
IBM recently released GneissWeb, a large dataset yielding around 10 trillion tokens that caters to the data quality and quantity requirements of training Large Language Models. In this talk i will do a deep dive on the philosophy behind this dataset, where it stands w.r.t the other datasets out there, how to recreate it based on the tools IBM has open sourced and some performance figures with it. This talk will be a followup of the talk given by Shahrokh Daijavad of IBM in the month of March.Prerequisites
This is a follow up to our March 6, 2025 session “Introducing GneissWeb - a state-of-the-art LLM pre-training dataset“:- Check the GitHub show notes
- Re-watch on YouTube
About the presenter
Bishwaranjan Bhattacharjee (LinkedIn), Senior Technical Staff Member and Master Inventor, IBM ResearchAbout the AI Alliance
The AI Alliance is an international community of researchers, developers and organizational leaders committed to support and enhance open innovation across the AI technology landscape to accelerate progress, improve safety, security and trust in AI, and maximize benefits to people and society everywhere. Members of the AI Alliance believe that open innovation is essential to develop and achieve safe and responsible AI that benefit society rather than benefit a select few big players. - Wydarzenie w sieci4 uczestników z 111 organizujących grup[AI Alliance Materials] Discrete State-Space Diffusion and Flow ModelsLink widoczny dla uczestników wydarzenia
External registration
https://44725920.hs-sites.com/ai-alliance-material-chemistry-webinar-5-15Unlocking Guidance for Discrete State-Space Diffusion and Flow Models
Many scientific tasks, such as protein engineering and small-molecule drug discovery, can be formulated as conditional generation problems over discrete spaces. This talk introduces a new approach that enables tractable classifier and classifier-free guidance on discrete state-space diffusion and flow models. I will demonstrate how this method can be applied for conditional generation tasks in protein sequence, small-molecule graph, and DNA sequence design.Speaker
Hunter Nisanoff recently graduated from his PhD in Computational Biology from UC Berkeley where he was advised by Professor Jennifer Listgarten. His research focuses on machine learning methods for protein engineering. Prior to his PhD, Hunter worked at D. E. Shaw Research developing machine learning and simulation-based methods for small-molecule drug discovery.Research publication
https://arxiv.org/abs/2406.01572About the AI Alliance
The AI Alliance is an international community of researchers, developers and organizational leaders committed to support and enhance open innovation across the AI technology landscape to accelerate progress, improve safety, security and trust in AI, and maximize benefits to people and society everywhere. Members of the AI Alliance believe that open innovation is essential to develop and achieve safe and responsible AI that benefit society rather than benefit a select few big players.
- Wydarzenie w sieci204 uczestników z 111 organizujących grup[AI Alliance] Knowledge Graphs for Enterprise AILink widoczny dla uczestników wydarzenia
Description
Proscenium is an emerging library of composable glue focused on enterprise AI applications. It prioritizes support for domains where the creation and use of structured data is critical. This talk will walk through the construction an application for the legal domain built with Proscenium that involves:- Document enrichment
- Entity resolution
- Knowledge Graph construction
- Query handling
- Chat integration
Finally, we'll cover the future roadmap and ways that you could contribute!
Speaker Bio
Adam Pingel (LinkedIn, GitHub) is IBM's Head of Open Tools and Applications for the AI Alliance. Adam has been fascinated by AI and chatbots since playing with Racter in the 80’s. But the “winters” were long and frequent. The stars aligned in 2015 when he became VPE at Ravel Law. Ravel was building AI-powered tools for the legal industry and was working with Harvard Law School on what is now known as the Caselaw Access Project. After an acquisition by LexisNexis in 2017, he moved his family to Raleigh (in 2019) to take the role of CTO of Global Platforms. In 2022 he joined IBM to work on domain-specific applications of generative AI. Adam holds an MS and BS in CS from UCLA and Stanford, respectively. When not at a keyboard, he enjoys spending time with his family.About the AI Alliance
The AI Alliance is an international community of researchers, developers and organizational leaders committed to support and enhance open innovation across the AI technology landscape to accelerate progress, improve safety, security and trust in AI, and maximize benefits to people and society everywhere. Members of the AI Alliance believe that open innovation is essential to develop and achieve safe and responsible AI that benefit society rather than benefit a select few big players.
![zdjęcie w tle [AI Alliance Materials] MatExpert, a generative AI agent for inorganic materials](https://secure.meetupstatic.com/photos/event/4/3/f/4/event_527777396.webp "[AI Alliance Materials] MatExpert, a generative AI agent for inorganic materials")
![zdjęcie w tle [AI Alliance] GneissWeb: Preparing High Quality Data for LLMs at Scale](https://secure.meetupstatic.com/photos/event/1/6/6/3/event_527645731.webp "[AI Alliance] GneissWeb: Preparing High Quality Data for LLMs at Scale")
![zdjęcie w tle [AI Alliance Materials] Discrete State-Space Diffusion and Flow Models](https://secure.meetupstatic.com/photos/event/5/e/6/b/event_527784171.webp "[AI Alliance Materials] Discrete State-Space Diffusion and Flow Models")
![zdjęcie w tle [AI Alliance] Knowledge Graphs for Enterprise AI](https://secure.meetupstatic.com/photos/event/c/c/5/d/event_527692317.webp "[AI Alliance] Knowledge Graphs for Enterprise AI")
Minione wydarzenia (60)
Zobacz wszystkie- Wydarzenie w sieci244 uczestników z 109 organizujących grup[AI Alliance] Chat with your website using an LLMWydarzenie już się odbyło
