Foundation Models in Chemistry: A 2026 Landscape (ChemBERTa, MolBERT, and Beyond)

Reflections on 2024 Bio-ML Predictions: Generative Chemistry and Molecular Dynamics Challenges

The article reflects on the author's 2024 predictions about bio-ML (biological machine learning) from a 2026 perspective, focusing on genera

Building Foundation Models for Financial Transaction Intelligence

This article explores how foundation models pre-trained on large volumes of unlabeled transaction sequences can transform financial intellig

Building Foundation Models for Financial Transaction Intelligence

This article explores how foundation models pre-trained on large volumes of unlabeled transaction sequences can transform financial intellig

Building Foundation Models for Financial Transaction Intelligence

This article explores how foundation models pre-trained on large volumes of unlabeled transaction sequences can transform financial intellig

chemAI

chemAI

AI and Laboratory Automation Accelerate Discovery and Synthesis of Metal–Organic Frameworks: A Review

This review article examines how artificial intelligence and laboratory automation are converging to transform the discovery and synthesis o

Review of C2026: Grand Challenges for Predictive Modeling in Drug Discovery

This blog post reviews the C2026 preprint (Grand Challenges for Predictive Modeling in Small Molecule Drug Discovery) published on ChemXriv.

Modular synthesis: How chemists are designing molecules with function-first approaches

This article explores how chemists are shifting from traditional synthetic methods toward modular, function-first approaches to molecular de