The funding backs continued innovation in production-grade forecasting, anomaly detection, and artificial intelligence.

South Korean researchers have developed a guided-learning framework that accurately predicts PV power without requiring irradiance sensors during operation, using routine meteorological data instead.

Stock markets are essential for households for wealth creation and for firms for raising financial resources for capacity ...

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...

Fundamental, an AI company that has built its most powerful Large Tabular Model ("LTM") to drive predictions from enterprise data, announced today it is emerging from stealth with $255M in funding.

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...

Microsoft delivered a strong Q2, beating top and bottom line estimates, yet the stock sold off on perceived Azure growth slowdown. Learn more about MSFT stock here.

Intel is looking for a Data Scientist who specializes in Demand and Supply Planning to develop advanced analytics and machine learning systems that will optimiz ...

Applied Computing, the British AI company pioneering foundational AI for energy operators, has been awarded Frost & Sullivan's 2025 ...

Science X is a network of high quality websites with most complete and comprehensive daily coverage of the full sweep of ...

Investors make predictable mistakes when forecasting earnings and stock returns, but machine learning models avoid them through adaptive learning.

Financial word of the day: Heteroscedasticity describes a situation where risk (variance) changes with the level of a ...