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 ...

AI Stock Trading: The Future of Algorithms in Investing

According to Mercer's 2024 AI in Investment Management global manager survey, 91% of asset managers either currently use AI (54%) or plan to use it within their investment strategy or asset-class ...

Machine Learning Trends For 2026

ML is poised to become faster and more accessible by 2026. Simply having the support of GenAI already gives it an advantage over other AI-based solutions.
IEEE

Introducing Ensemble Machine Learning Algorithms for Automatic Test Case Generation using Learning Based Testing

Abstract: Context: Ensemble methods are powerful machine learning algorithms that combine multiple models to enhance prediction capabilities and reduce generalization errors. However, their potential ...
IEEE

Comparison of Machine Learning Algorithms Classification Soybean Leaf Diseases

Abstract: Soybean (Glycine max) plays a crucial role as a global agricultural crop, yet its yield is often compromised by various foliar diseases. This study presents a comparative analysis of six ...