AI cancer tools may rely on 'shortcut learning' rather than genuine biological signals

Artificial intelligence tools are increasingly being developed to predict cancer biology directly from microscope images, ...

MicroCloud Hologram Inc. Proposes Quantum AI Simulator Adopting Hybrid CPU-FPGA Method, Achieving Efficient Image Classification Simulation Through Heterogeneous Computing

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a quantum AI simulator that adopts a hybrid CPU-FPGA method. This system performs ...

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 ...
Justdial on MSN

Machine learning vs deep learning: Which one is better?

Read more about how machine learning and deep learning differ, where each is used, and how businesses choose between them in real scenarios.
financefeeds

Crypto Machine Learning Algorithms Explained for Beginners

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...
science.psu

Foundational Questions in Machine Learning: How to Compare Distributional Data

At its core, machine learning, whether supervised or unsupervised, helps identify patterns in data. In order to make mathematical comparisons among data points, an algorithm often relies on the notion ...
Frontiers

Explainable machine learning for stroke risk prediction: a comparative study with SHAP-based interpretation

Stroke is one of the leading causes of death and disability worldwide, making early screening and risk prediction crucial. Traditional methods have limitations in handling nonlinear relationships ...
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 ...
IEEE

Leveraging Machine Learning Algorithms for Robust Credit Card Fraud Detection: A Performance Comparison

Abstract: The implementation of systems designed to detect cyber crimes has become essential for banks and other financial institutions. A variety of approaches have been proposed to combat the ...
Scientific Research Publishing

Explainable Machine Learning in Risk Management: Balancing Accuracy and Interpretability ()

1 School of Taxation and Public Administration, Shanghai Lixin University of Accounting and Finance, Shanghai, China. 2 School of Business, Computing and Social Sciences, University of Gloucestershire ...