Not all fungi, plants or animals may be considered the earliest giants on earth. The tower of column of trunk-like structures ...

Abstract: Federated learning (FL) is a machine learning approach where multiple participants train a model together without sharing their privacy data. The challenge of long-tail data heterogeneity in ...

Abstract: Advancements in machine learning (ML) have facilitated the prediction of key aspects of human locomotion, particularly in identifying subject gait trajectories essential for recognizing ...

There is often no straightforward explanation for the various types of violence that occur around the world. In fact, even when using clear definitions (such as “Civil War,” “Invasion,” or “Local ...

Researchers have systematically mapped approximately 260,000 cancer-specific small RNAs, called oncRNAs, across 32 cancer types, revealing distinctive molecular "barcodes" that can identify cancer ...

New TMS biomarkers combined with machine learning accurately classified major depressive disorder. Learn more about this ...

Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...

In imaging, AI systems have demonstrated superior accuracy in breast cancer screening and skin lesion classification, often surpassing experienced clinicians. AI revolutionizes cancer care by ...

Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...