News & Media
News and updates highlighting our research advances, events, partnerships, and people who are accelerating AI-driven materials discovery for energy, sustainability, and quantum technologies.
AI-MI Summer Undergraduate Research Program Wraps Up Its 2026 Cohort
Fourteen undergraduate researchers completed the AI-MI Summer Undergraduate Research Program (SURP) on Friday, August 7, closing ten weeks at Cornell with final project presentations across both program tracks.
AI-MI–Supported Study Turns Moiré Flat-Band Engineering Into Design Rules
Twisted two-dimensional materials can host flat electronic bands — the setting for superconductivity, correlated insulators, and topological order — but which of those states appears has largely been worked out one material at a time.
Jacob Gardner Joins AI-MI as Senior Personnel
AI-MI welcomes Jacob Gardner of the University of Pennsylvania, who joins the institute as senior personnel. Gardner is an expert in probabilistic machine learning and Bayesian optimization, applying generative modeling to scientific discovery —…
AI-MI Researchers Present at M2S 2026 in Stuttgart
Two AI-MI researchers were on the program at M2S 2026 , the flagship international conference on the materials and mechanisms of superconductivity, held in Stuttgart July 19–25. AI-MI Director Eun-Ah Kim (Cornell University) gave an invited talk,…
AI-MI–Supported Study Rebuilds the Theory of MgB₂, the Record-Tᴄ Conventional Superconductor
A new AI-MI–supported study reconstructs the theory of MgB₂ — the phonon-mediated superconductor with the highest known critical temperature, roughly 39 K — from minimal ab initio input. In “Quantum geometry and critical temperature enhancement in…
AI-MI at ICML 2026, Part II
AI-MI researchers continued to make their mark at the International Conference on Machine Learning (ICML 2026) in Seoul. Kilian Weinberger, serving as ICML 2016 program co-chair, led the selection process for this year’s Test of Time Award; his…
AI-MI Faculty Among Authors of ML-Guided Kagome Superconductor Discovery Covered by Major Science Press
A machine-learning-guided search has identified two new kagome superconductors — YRu₃B₂ and LuRu₃B₂ — in a discovery covered widely by science media including SciTechDaily, ScienceDaily, Interesting Engineering, and TechTimes. The work, led by the SuperC consortium...
AI-MI–Supported Research Introduces Continuous-Query Language Models That Externalize Factual Knowledge
An AI-MI–supported study proposes a new architecture for language models that externalizes factual knowledge to a knowledge base rather than storing it in model weights. “Co-LMLM: Continuous-Query Limited Memory Language Models” by Yair Feldman, Linxi Zhao, Nathan...
Separating Prediction and Memory Improves Transformers
An AI-MI–supported study proposes that standard Transformers overload a single computation stream to both predict the next token and store state for future tokens—and that disentangling these roles yields more efficient, higher-performing models. Giovanni Monea,...