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An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin ...
CGSchNet, a fast machine-learned model, simulates proteins with high accuracy, enabling drug discovery and protein ...
Context engineering—the art of shaping the data, metadata, and relationships that feed AI—may become the most critical discipline in tech. This is like gold for those of us in the FinTech data ...
Probability and Statistics Group research at the School of Mathematical and Computer Sciences at Heriot-Watt University, Edinburgh.
Google's new Graph Foundation Model delivers up to 40 times greater precision and has been tested at scale on spam detection.
Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...
Longitudinal tracking of neuronal activity from the same cells in the developing brain using Track2p
This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...
Microsoft is transforming its AI research capabilities into enterprise-grade infrastructure with the limited preview launch of enhanced agent support in Azure AI Foundry.
Machine learning methods enable computers to learn without being explicitly programmed and have multiple applications, for example, in the improvement of data mining algorithms.
Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...
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