Technology Networks

Machine Learning Applications in Proteomics

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.
ascopubs.org

Non-invasive PD-L1 prediction in NSCLC patients using 3D self-supervised deep learning and radiomics.

Larotrectinib resistance in TRK fusion cancers: Analysis of a tumor-agnostic, global clinical trial dataset. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does ...
Seeking Alpha

WiMi Developed An Efficient Deep Self-Supervised Remote Sensing Scene Classification Technology

BEIJING, Sept. 26, 2023 /PRNewswire/ -- WiMi Hologram Cloud Inc. (WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that an ...
Devdiscourse

Self-supervised AI can unlock hidden disease patterns

Published as an arXiv preprint, the paper details how unsupervised and self-supervised AI models are matching or surpassing ...
VentureBeat

Facebook's chief AI scientist: Deep learning may need a new programming language

Deep learning may need a new programming language that's more flexible and easier to work with than Python, Facebook AI Research director Yann LeCun said today. It's not yet clear if such a language ...
Quanta Magazine

What Is Machine Learning?

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...