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17 results for “foundation models”
On the use of foundation models in cognitive science
A new arXiv preprint proposes a four-stage inferential framework to rigorously evaluate foundation models as cognitive and developmental models, arguing that behavioral alignment alone is insufficient without explicit theoretical grounding and contrastive evaluation.
Aug 11, 2026
Towards Multi-Label Graph Foundation Models: from Single-Vector Representation Learning to Multi-Semantic Basis Learning
Researchers propose MSB-GFM, a new graph foundation model architecture designed to handle multi-label node classification across domains by replacing single-vector representations with adaptive multi-semantic basis composition.
Aug 10, 2026
Bootstrap-Conditioned Action Selection with Tabular Foundation Models
Researchers propose BC-ICL, a method using frozen pre-trained tabular foundation models with bootstrap resampling and in-context learning to improve early-round decision-making performance in contextual bandits under sparse, biased, or cold-start data conditions.
Aug 10, 2026
Evaluating Federated Pre-Training: On the Reliability of Downstream Fine-Tuning and Intrinsic Evaluation
A research paper identifies downstream fine-tuning benchmarks (e.g., GLUE) as unreliable proxies for evaluating federated pre-trained language models, finding that intrinsic next-token prediction better preserves ranking fidelity to pre-training performance.
Aug 3, 2026
Physical AI Surges to the Forefront of Q2 2026 Venture Activity
Venture capital funding surged in Q2 2026 toward physical AI—especially industrial humanoid robots and robot foundation models—reflecting investor prioritization of embodied intelligence infrastructure.
Jul 23, 2026
LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models
Researchers introduced LLM4EHR, a new clinical foundation model that aligns electronic health record (EHR) event sequences with time-series physiological data using a domain-adapted large language model and transformer-based time-series encoder, aiming to improve generalizability and performance on ICU outcome prediction tasks.
Jul 20, 2026
This startup thinks robotics is about to have its ChatGPT moment
General Intuition claims video game data can serve as scalable, synthetic training ground for robotics foundation models, reducing reliance on costly and slow real-world robot interaction.
Jul 9, 2026
Parameter-Free Encoders Remain Viable for RDB Foundation Models
A new arXiv preprint argues that parameter-free relational database (RDB) encoders—requiring no pre-training or trainable parameters—remain empirically competitive for tabular prediction tasks, challenging recent trends favoring complex, labeled pre-training of RDB-specific encoders.
Jul 9, 2026
Evaluating Time Series Foundation Models for Electricity Price Forecasting: Contamination Risk, Distributional Shifts, and Covariate Dependence
Researchers introduce a two-dataset benchmarking framework to rigorously evaluate time series foundation models (TSFMs) for electricity price forecasting, revealing their competitive but context-dependent performance and identifying contamination risk and covariate dependence as critical evaluation challenges.
Jul 8, 2026
Aily Labs and AWS Announce Strategic Partnership to Accelerate AI Decision Intelligence Across the Fortune 500
Aily Labs partners with AWS to accelerate AI decision intelligence across Fortune 500 companies.
Published Jul 2, 2026 · Analyzed Jul 5, 2026
Tripo AI, which is developing 3D foundation models and world models for use in games, raised $150M, a month after it said it raised $200M (Dean Takahashi/GamesBeat)
Tripo AI, an AI company, raised $150M for its 3D foundation models and world models.
Published Jul 2, 2026 · Analyzed Jul 5, 2026
Device Passport: Enabling Spatio-Temporal Pretrained Models to Generalize Across Input Layouts
Researchers propose a new technique to improve cross-layout transfer for biosignal foundation models.
Published Jul 2, 2026 · Analyzed Jul 5, 2026
Coachable agents for interactive gameplay
Researchers develop AI framework for coaching agents with customizable styles.
Published Jul 2, 2026 · Analyzed Jul 5, 2026
Why Financial Institutions Are Converging on Transaction Foundation Models to Build Their Own Intelligence - NVIDIA Blog
A corporate blog post by NVIDIA, syndicated via Mastercard's Google News feed, announces that financial institutions are adopting 'transaction foundation models' — a new category of AI models trained on payment data — to build proprietary intelligence capabilities.
Published Jun 1, 2026 · Analyzed Jul 7, 2026
From Pixels To Perception: The Impact Of Foundation Models For Vision - Forrester
Forrester published an analyst report framing foundation models for vision as transformative drivers of perception-level AI capabilities, positioning them as central to enterprise AI strategy despite limited real-world deployment evidence.
Published Sep 6, 2024 · Analyzed Jul 6, 2026
Announcing Our Inaugural AI Foundation Models For Language Forrester Wave™ — 21 Criteria To Consider, Beyond Benchmarks - Forrester
Forrester announces its inaugural AI foundation models for language report, highlighting 21 criteria to consider.
Published Jun 5, 2024 · Analyzed Jul 5, 2026
How to Promote Responsible Open Foundation Models - Stanford HAI
Stanford HAI published a policy-oriented framework outlining principles and recommendations for governing open foundation models, emphasizing safety, transparency, and accountability without announcing new tools, deployments, or empirical validation.
Published Oct 3, 2023 · Analyzed Jul 6, 2026