Positioned at the intersection of quantitative finance, statistical learning, and modern AI, the research addresses a ...

Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...

A study led by UC Riverside researchers offers a practical fix to one of artificial intelligence's toughest challenges by ...

Enzymes with specific functions are becoming increasingly important in industry, medicine and environmental protection. For example, they make it possible to synthesize chemicals in a more ...

It seems like every AI researcher these days has lots of ideas around how to combat major shortcomings in the field, such as ...

A new medical large language model (LLM) achieved over 91 percent accuracy in identifying female participants diagnosed with major depressive disorder after analyzing a short WhatsApp audio recording ...

Industrial AI deployment traditionally requires onsite ML specialists and custom models per location. Five strategies ...

Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles are available in the industry? Will I need to be a good ...

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 ...

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited AI expertise in industrial fields such as factories, medical, and ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines. By Daniel Fusch Neel Somani, a ...