FlowState: IBM’s Lightweight Powerhouse for Flexible Time-Series Forecasting Accurately predicting future trends from historical data has always been a complex challenge, especially as real-world datasets rarely conform to a single, predictable pattern. IBM’s FlowState model h... AI forecasting FlowState foundation models IBM Research machine learning state-space models time-series
How Foundation Models Are Transforming Scientific Discovery Foundation models such as large language models have made waves in language processing and computer vision, but their leap into scientific disciplines is both exciting and complex. Scientific fields d... data efficiency deep learning foundation models machine learning physical constraints scientific discovery time series forecasting uncertainty quantification
Few-Shot Learning Revolutionizes Time-Series Forecasting: Inside Google's TimesFM-ICF Google’s latest AI breakthrough in time-series forecasting proposes a system that instantly adapts to new challenges with only a handful of examples provided. For industries such as retail, energy, an... AI research business analytics few-shot learning forecasting foundation models machine learning time-series transformers
TSPulse: IBM's Compact Powerhouse Transforming Time Series AI IBM's TSPulse is making advanced analytics both accessible and practical for everyone. This model isn't limited to just forecasting; it's engineered to tackle anomaly detection, data classification, m... AI anomaly detection data imputation efficiency foundation models IBM machine learning time series
Microsoft Unveils Powerful In-House AI Models to Redefine User Interaction Microsoft AI is unveiling two next-generation in-house models that promise to revolutionize digital experiences by providing an AI that understands not just what you say, but how you say it - capturin... AI innovation Copilot foundation models MAI-1-preview MAI-Voice-1 Microsoft AI mixture-of-experts speech generation
Unlocking the Power of Generalizable Tabular Models with Synthetic Priors Tabular data drives vital decisions across sectors like healthcare, finance, and retail, but most machine learning solutions for these datasets are narrowly optimized and lack broad applicability. Tod... AutoGluon benchmarking foundation models in-context learning machine learning synthetic data tabular data
SciArena: Transforming How We Evaluate AI Models in Scientific Research Researchers face a growing challenge: staying current with the ever-expanding body of scientific literature. Foundation models offer promise in helping synthesize and analyze this vast information, bu... AI evaluation benchmarking crowdsourcing data quality foundation models leaderboard research tools scientific literature
Harnessing Graph Foundation Models to Unlock Relational Data's Potential Relational databases are at the core of many modern applications, yet traditional machine learning often misses the nuanced connections within their complex structures. By transforming relational tabl... data modeling foundation models graph learning graph neural networks machine learning relational data transfer learning
Kumo AI’s Relational Foundation Model: The Next Step in Enterprise Prediction Generative AI and large language models (LLMs) have revolutionized how businesses approach summarization and reasoning. However, when it’s time to forecast outcomes like customer churn or fraud, tradi... AI prediction enterprise AI foundation models machine learning relational data transformers zero-shot learning
Apple Foundation Models 2025: A Leap Forward in Private, Powerful AI Apple is redefining generative AI by embedding advanced language models directly into its apps, all while maintaining a steadfast commitment to user privacy. This innovation, revealed at the 2025 Worl... AI privacy Apple Intelligence developer tools foundation models multimodal AI on-device AI Private Cloud Compute responsible AI