BIDMaP Seminar | April 2
Join Tibor Szilvasi on using machine learning to model heterogeneous catalysts at the atomic level and reveal how they function in realistic environments.
🗓 Thursday, April 2
⏰ 12:00 PM
📍 Cory Hall 373
🔗 Learn more: https://bit.ly/4lWuYrh
#BIDMaP #Catalysis #AIforScience
BIDMaP Director Christian Borgs has recieved an honorary doctorate from Eindhoven University of Technology
The honor recognizes his major contributions to network science and machine learning—foundations for data-driven discovery at BIDMaP.
Read More: https://bit.ly/4teNJIT
#AIforScience #BIDMaP
I build AI systems that accelerate scientific discovery across STEM.
I share insights, frameworks, and ideas that help scientists explore problems faster and push the boundaries of physics, chemistry, biology, and engineering.
Follow the journey of AI-driven discovery. 🔬
#AIForScience
Surrogate models are everywhere. Reporting standards are not ⚠️
Our position paper on SMRS was accepted to the #NeurIPS 2025 Position Paper Track (8% acceptance rate).
We argue that sharing code is not enough for comparability in scientific ML.
#AIforScience #Reproducibility #surrogates
Work by @nilsdy.bsky.social & @igurevych.bsky.social (@ukplab.bsky.social, @tuda.bsky.social and @athenecenter.bsky.social)
See you at #EACL2026 in Rabat 🕌!
#UKPLab #LLMs #PeerReview #AIforScience #TrustworthyAI #NLP #Evaluation @cs-tudarmstadt.bsky.social
Fermilab joins 17 U.S. national labs in the DOE Genesis Mission, deploying AI to build autonomous particle accelerators, compress chip design cycles via AXESS, accelerate Lattice QCD via FemtoMind, and standardize collider data through TREASURE.
#GenesisMission #AIforScience #News
Trying something new: moving from AI-assisted coding toward agentic engineering. Before writing code, we defined: • instructions • target architecture • phased development plan • tests for each phase The idea: give AI a clear blueprint instead of a blank page. Early experiment, but promising. #AgenticAI #SoftwareEngineering #AIforScience #ScientificComputing #GenesisMission #AI
Trying something new: moving from AI-assisted coding toward agentic engineering.
Before writing code, we defined:
• instructions
• target architecture
• phased development plan
The idea: give AI a clear blueprint instead of a blank page.
#AIforScience #ScientificComputing #GenesisMission
Applications are now open until 17 April for the @google.org Impact Challenge: AI for Science. 🔬
A $30M global fund for nonprofits & academic institutions using AI to drive breakthroughs in climate and health.
Details here: https://bit.ly/3PnA1ou
#AIforScience #ResearchFunding #GoogleOrg
#EACL2026 #PeerReview #ScientificPublishing #AIforScience #LLMs #DialogueSystems #Evaluation #ResearchIntegrity #NLP #MachineLearning #UKPLab @cs-tudarmstadt.bsky.social
📢 MIG Seminar: A cogent software foundation for modern science
🗓️ Fri, Mar 20 | ⏰ 2 - 3 pm AEST
📍 Ian Potter Auditorium (G52), Kenneth Myer Building (144)
🎙️ Prof. Gavin Huttley (Australian National University)
🧍♂️In-person only
#Bioinformatics #ComputationalBiology #ReproducibleResearch #AIforScience
#UKPLab #NLP #NLProc #AI #PeerReview
#AIforScience #ScientificPublishing #NoveltyDetection #Evaluation #OpenScience @cs-tudarmstadt.bsky.social
BIDMaP Seminar | March 19
Rocio Semino (Sorbonne University) will discuss how modeling + machine learning reveal the molecular mechanisms behind MOF self-assembly.
🗓 Thursday, March 19
⏰ 12:00 PM
📍 Cory Hall 373
🔗 Learn more: https://bit.ly/4cDHuto
#BIDMaP #MOFs #AIforScience
BIDMaP faculty member Aditi Krishnapriyan has received a 2025 DOE Early Career Award.
Her research develops ML methods grounded in physical laws to accelerate large scientific simulations and help model complex systems faster.
Read More: https://bit.ly/4aZxZU5
#AIforScience #MachineLearning #DOE
We are BIDMaP — the Bakar Institute of Digital Materials for the Planet at UC Berkeley.
We use big data, AI, robotics, and generative modeling to accelerate materials discovery for climate, energy, and sustainability.
Follow to learn more.
🔗 bidmap.berkeley.edu
#AIforScience #Materials #Climate
Find out more about SIGS here: oroikono.github.io/sigs-paper-s... 🤖🧠 #AcademicSky #Neurosymbolic #AIforScience #PhysicsML #ETHZurich #MLSky #PhDSky
This study suggests that AI accelerates general scientific discovery primarily through efficiency-level enhancements, while its impact on disruptive innovation remains complex and contingent on field characteristics and developmental stages.
doi.org/10.1016/j.xi...
#AIforScience
It came out prettier than I thought! 😊
Just released Hatch v0.8.0.
This update is all about UX: clean tables, helpful colors, outputs that actually make sense. 🐣
`pip install hatch-xclam`
#MCP #AIForScience
winbuzzer.com/2026/02/18/g...
Google.org Launches $30M AI for Science Global Funding Initiative
#AI #Google #AIResearch #GoogleDeepMind #Philanthropy #BigTech #Nonprofits #LifeSciences #AIforScience #ScientificResearch
Google launched a new $30 million AI for Science Impact Challenge at the AI Impact Summit 2026 in New Delhi, targeting nonprofits, academic institutions, and social enterprises.
Read Full Article: deccanfounders.com/2026/18/n...
#Google #AIforScience #India #IndiaAI #ImpactSummit #DeccanFounders
Another autonomous laboratory using mobile #robots - "Decoding active sites in high-entropy catalysts via attention-enhanced model" by Liang Yin et al.
www.science.org/doi/10.1126/... #SDL #chemsky #compchemsky #AIforScience
Our work is featured in the AI for Science special edition of ERCIM News, with a contribution on human-centred, trustworthy AI for decision support.
Read more here 👉 www.themis-trust.eu/post/themis-... #AItrust #AIuse #AIforScience #ERCIMNEWS #HorizonEurope
Happy to announce that I've started my postdoctoral position at @icelabumu.bsky.social ! 🎉
My project focuses on developing AI models (ML/DL) to predict protein levels from RNA-seq data in bacterial infections, to identify new therapeutic targets to combat #AMR🦠🤖
#AIforScience #Postdoc
AI-designed enzymes are here! A trio of diffusion models—RFdiffusion2, RFdiffusion3 & Riff-Diff—are solving long-standing challenges in enzyme design, enabling new reactions never seen in nature. The age of programmable chemistry begins. 🔍⚗️🧬
#AIforScience #EnzymeDesign
cen.acs.org/physical-che...
A book I contributed to is now out (open access):
"Artificial Intelligence and Intelligent Matter"
link.springer.com/book/10.1007...
#Nanoscience #MaterialsScience #SoftMatter #AIforScience #IntelligentMatter #AI4Science
🚀 New Paper Published!
Proud to share the latest work with: “Next-generation reservoir computing for dynamical inference” published in Chaos!
📄 doi.org/10.1063/5.03...
#ReservoirComputing #DynamicalSystems #AIforScience
I’ve been trying to codify this into a new standard called the BASE Scale.
It’s a 6-level taxonomy (0-5) designed for high-stakes facilities where you only have 48 hours to get results.
I’d love to know if these levels match your experience: arxiv.org/abs/2601.06978
#ScienceSky #AIforScience
A comparative infographic showcasing the results of different generative AI models in creating scientific images. The infographic is divided into three vertical sections, labeled 'Ceramics,' 'Plants,' and 'Rocks.' Each section contains a grid of images comparing a 'Raw' scientific source image to AI-generated versions created by models including DCGAN, StyleGAN, DALL-E2, and DALL-E3. The 'Ceramics' section shows microscopic views of packed particles, the 'Plants' section displays images of seedlings and root systems, and the 'Rocks' section features grayscale micro-scans of rock sediment, illustrating the varying success of different AI models in reproducing scientifically accurate images.
Beyond AI art: creating scientific truth.
New @berkeleylab.lbl.gov research evaluates how well AI models generate scientifically valid images of rocks, plants & ceramics. This work could revolutionize research by filling critical data gaps. Learn more: bit.ly/GenAI_LBNL
#AIforScience #GenerativeAI
@futurehousesf.bsky.social #KavliNeuro #AIforScience #Neuroscience #ScientificCareers
AI is like a tireless, coffee-free research assistant, supercharging scientific discovery! It's finding patterns, accelerating drug design, and simulating cosmos. The synergy of human curiosity + AI processing power is pushing boundaries. What a time to learn! #AIforScience #InnovationUnleashed
🎓 Fully funded AI for Science Master’s at African Institute for Mathematical Sciences South Africa with Google DeepMind — 40 scholarships | Apply 👉 wp.me/p23f03-ifK
#AIforScience #FullyFunded #AIMS #STEMAfrica
