Kumo AI says its new model can make business predictions more accurately than LLMs and more accurately than many small models ...

In a recent analysis, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and collaborator William Gilpin reported that one ...

Researchers made a technique that improves the trustworthiness of machine-learning models ... can reduce the size of prediction sets by up to 30 percent while also making predictions more reliable.

Data from microplastic analyses can inform health recommendations and policy decisions, so it’s important for the people making ... use a machine learning technique called conformal prediction.

Chronic pain conditions, long-lasting medical conditions characterized by persistent pain in specific areas of the body, are ...

While both models showed remarkable prediction accuracy, decision trees offered an added advantage: interpretability.

Gully erosion is the most severe form of soil erosion, and it can seriously impact agricultural fields, contributing to ...

The first step in reverse engineering is determining whether the algorithm follows a purely random model (such as RNG) or exhibits deterministic characteristics (such as PRNG). Analyzing sequences ...

Shenzhen, May. 20, 2025/––MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), announced that quantum algorithms will be deeply integrated with machine learning to explore practical ...

Current care in multiple sclerosis (MS) primarily relies on infrequently obtained data such as magnetic resonance imaging, clinical laboratory tests or clinical history, resulting in subtle changes ...