New deep-learning model outperforms Google AI system in predicting peptide structures. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2024 / 06 / 240627172125.htm ...

4. Technology application and future direction: Deep learning improves protein structure prediction and provides new possibilities for drug design, antibody development, and synthetic biology. "We ...

In a comprehensive review published in MedComm – Future Medicine, researchers elucidate the transformative impact of deep learning technologies on protein structure prediction. This review ...

Microsoft Research has introduced BioEmu-1, a deep-learning model designed to predict the range of structural conformations that proteins can adopt. Unlike traditional methods that provide a single st ...

Researchers introduce RhoFold+, a groundbreaking deep learning model that predicts RNA 3D structures with unprecedented accuracy and efficiency, addressing critical challenges in structural biology.

CONTAIN™ represents the next breakthrough in AI-powered ore sorting from TOMRA Mining – a deep learning solution purpose-built to classify complex inclusion-type ores with unprecedented accuracy.

By combining Raman spectroscopy with deep learning algorithms, scientists can differentiate between synthetic cannabinoids with greater ease. These synthetic drug compounds have emerged as a ...

The model was then asked to supply a short-term forecast (one step, five minutes ahead), a medium-term forecast (30 steps, 2.5 hours ahead), and a long-term forecast (96 steps, eight hours ahead).