Explore how AI in high-throughput screening improves drug discovery through advanced data analysis, hit identification and ...

Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...

Published in Microplastics, the study titled “Canonical Spectral Transformation for Raman Spectra Enables High Accuracy AI Identification of Marine Microplastics” introduces a novel data processing ...

Built on a new architecture KumoRFM-2 achieves state-of-the-art results across 41 predictive tasks and four major benchmarks, ...

AI security cameras enhance smart home security using computer vision, behavioral anomaly detection, and facial recognition ...

What was the rationale behind applying machine learning (ML) models to improve identification probability in the absence of ...

Stanford's 2026 AI Index: frontier models fail one in three attempts, lab transparency is declining, and benchmarks are ...

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...

Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...

Using artificial-intelligence to teach other models can be cheaper and faster than building them from scratch, but this ...