ResearchFoundation models
TabFM and the Rise of Tabular Foundation Models | by Adnan Masood, PhD. | Jul, 2026
How Google's TabFM brings zero-shot foundation models to tabular data, from XGBoost and TabPFN to production and governance. medium.com
🔬 AI Research
Academic papers, research breakthroughs, and scientific advances in machine learning and AI.
90 articles
ResearchLLM optimization
ReContext Improves Long-Context Evidence Use
ReContext, an arXiv method submitted on **July 2, 2026**, improves long-context LLM reasoning by replaying query-relevant evidence inside a **128K-token**... letsdatascience.com
NewsAI in biotech
Protein design revolutionized: how AI is opening new doors for scientists worldwide
Designing a custom protein traditionally required advanced computer programming skills alongside deep biological expertise, keeping sophisticated... futura-sciences.com
Newsacademic conference
ICML 2026 Opens Monday in Seoul: Agentic AI Tops Record Year as Peer Review Strains
The world's largest machine learning conference opens Monday in Seoul, South Korea — and for the first time in the 43rd-year history of the International... techtimes.com
Researchenergy
Quantifying drivers of photovoltaic power generation at Bhadla using explainable machine learning and causal discovery
Reliable estimation of photovoltaic (PV) power generation in arid regions demands integrated understanding of radiative, meteorological,... nature.com
Researchhealthcare
Advanced ML Model Predicts Onset of Epilepsy and Depression
A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression. medscape.com
Researchphysics_simulation
New research teaches artificial intelligence the laws of physics
Sarvin Moradi defended her PhD thesis at the Department of Electrical Engineering on July 2nd. tue.nl
Researchconference_presentations
International Conference on Machine Learning (ICML) 2026
Apple is presenting new research at the International Conference on Machine Learning (ICML 2026), which takes place in person in Seoul… machinelearning.apple.com
Researchlanguage_models
Learning Structured Reasoning via Tractable Trajectory Control
Large language models can exhibit emergent reasoning behaviors, often manifested as recurring lexical patterns (e.g., “wait,” indicating… machinelearning.apple.com
Researchembodied_ai
TAP: Unlocking Embodied AI with Task-Agnostic Pretraining
TAP framework decouples physical and semantic learning for Vision-Language-Action models, achieving expert performance with minimal labeled data and... startuphub.ai
Researchdomain generalization
Anti-Causal Domain Generalization: Leveraging Unlabeled Data
The problem of domain generalization concerns learning predictive models that are robust to distribution shifts when deployed in new… machinelearning.apple.com
Researchlanguage models
Learning Unmasking Policies for Diffusion Language Models
Diffusion (Large) Language Models (dLLMs) now match the downstream performance of their autoregressive counterparts on many tasks, while… machinelearning.apple.com
Newscomputer vision
From flickering to flawless: scientists map the future of AI-powered face video restoration
Degraded face videos have long plagued digital communication—from glitchy video calls to blurry archival footage. Now, researchers have delivered the first... eurekalert.org
Newsearthquake detection
AI Improves Earthquake Detection
One seismometer is often not enough to reliably detect earthquakes or human activity such as underground nuclear tests. Rather, researchers combine readings... eos.org
Researchfoundation models
Introducing TabFM: A zero-shot foundation model for tabular data
We've seen a massive shift in how people handle time-series forecasting since we launched TimesFM. Now, we're bringing that same "zero-shot" logic to... research.google
Researchmedical AI
Explainable machine learning to predict immunotherapy outcomes in metastatic renal cell carcinoma - Meet-URO 15-AI study
Metastatic renal cell carcinoma remains clinically challenging because of heterogeneous outcomes and limited predictive biomarkers for immunotherapy. nature.com
Newsmaterials science
Machine Learning Confirms Two New Superconductors, Unlocking Wider Search
An international research consortium announced on June 29 that it has experimentally confirmed two previously unknown superconductors — the first materials... techtimes.com
ResearchLLM generalization
AISTATS’26 CauScale Workshop Best Paper reveals generalization mechanism of LLMs
New research led by Laura Balzano and Qing Qu establishes a mathematical framework explaining how LLMs generalize to novel, out-of-distribution tasks. ece.engin.umich.edu
ResearchML generalization
Environment as a Nexus Framework Improves Machine Learning Generalization Across Unseen Data Domains
Researchers have introduced a new framework titled "Environment as a Nexus" to improve how machine learning models perform when encountering data from... geneonline.com
ResearchML applications - superconductor discovery
Machine Learning Accelerates the Search for Room-Temperature Superconductors
An international group of quantum researchers demonstrated how machine learning may be used to filter a nearly endless number of possible material... azoquantum.com