New algorithm identifies disease-linked changes in cells without prior training

A new algorithm could drive breakthroughs in understanding cancer, Alzheimer's disease and other potentially fatal conditions ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
IEEE

Efficient Subset Selection-Based Algorithms for Factorizing Low-Rank Matrices with Application to Robust PCA

Abstract: Efficient factorization of low-rank matrices have become crucially important in modern machine learning applications. In this paper, we present a randomized, rank-revealing QLP algorithm, ...
Phys.org

Machine learning algorithm fully reconstructs LHC particle collisions

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...
International Monetary Fund

GDP Nowcasting Performance of Traditional Econometric Models vs Machine-Learning Algorithms: Simulation and Case Studies

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
The Conversation

TikTok’s new owner puts app’s algorithm in the spotlight – a social media expert explains how the ‘For You’ page works

Chinese tech giant ByteDance finalized its agreement to sell a majority stake in its video platform TikTok to a group of U.S. investors. TikTok announced on Jan. 22, 2026, that it has formed TikTok ...
LinkedIn

Machine Learning for Algorithmic Trading & PCA for Statistical Arbitrage

Here each week on 'The Edge' I discuss cutting edge topics on algo trading & quant research. Feature Article: How Machine Learning Can Transform Your Algo Trading Strategies Feature Article: How ...
Nature

Integrative machine learning models predict prostate cancer diagnosis and biochemical recurrence risk: Advancing precision oncology

Prostate cancer (PCa) ranks among the most prevalent cancers in men worldwide. Biochemical recurrence (BCR) presents a major clinical challenge in PCa management, with significant prognostic ...
IEEE

Application of Variational Quantum Algorithms in Quantum Machine Learning

Abstract: Quantum computing, in the last few years, has made tremendous gains both scientifically and commercially. The recent announcements by Google and Microsoft ...
techxplore

New algorithm enables efficient machine learning with symmetric data structures

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine-learning model might think it is a new data point. In computer science ...
news.bloomberglaw

Navigating a Patent Gap for AI and Machine Learning Algorithms

Patent applications on artificial intelligence and machine learning have soared in recent years, yet legal guidance on the patentability of AI and machine learning algorithms remains scarce. The US ...
Scientific Research Publishing

Sen, P.C., Hajra, M. and Ghosh, M. (2019) Supervised Classification Algorithms in Machine Learning: A Survey and Review. In: Mandal, J.K. and Bhattacharya, D., Eds., Emerging ...

ABSTRACT: Accurate prediction of malaria incidence is indispensable in helping policy makers and decision makers intervene before the onset of an outbreak and potentially save lives. Various ...