Reinforcement learning frames trading as a sequential decision-making problem, where an agent observes market conditions, ...

One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...

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 ...

The world's first dataset aimed at improving the quality of English-to-Malayalam machine translation—a long-overlooked ...

Quantum computers are designed to solve complex problems outside the scope of classic computing. Classic computers use ...

The orbitofrontal cortex (OFC) is critical to identifying task structure and to generalizing appropriately across task states with similar underlying or hidden causes. This capability is at the heart ...

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

Researchers are uncovering how disrupted glutamatergic synapses drive diverse forms of intellectual disability, revealing new ...

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...

A context-driven memory model simulates a wide range of characteristics of waking and sleeping hippocampal replay, providing a new account of how and why replay occurs.

Individual mammalian cells contain billions of protein molecules, which must be synthesized, deployed, and removed with ...