Team Synaptic, a multidisciplinary research team from Boise State University, has been selected as a Top 10 Finalist in the ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

Researchers have developed a systematic review that charts the evolution of artificial intelligence in generative design for steel modular structures, particularly steel box modular buildings, ...

WebFX reports that 80% of AI initiatives fail to produce results and a marketing AI ROI checklist aids businesses in ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, announces the development of a revolutionary technology: state-based imaginary-time evolution quantum ...

In many countries, hydropower provides a dominant share of the electricity supply. This dependence brings environmental ...

Businesses are discovering that payment infrastructure has evolved from a back-office function to a critical competitive differentiator.

Undergraduate students at Penn State Brandywine developed an environmentally friendly and easy method to synthesize compounds ...

A firefly-inspired AI framework makes atomic structure prediction more robust by combining multimodal search with an uncertainty-aware machine learning technique. The method improves efficiency for ...

AI recommendations depend on relational knowledge, not just content. Here’s why your brand may be missing and how to fix it ...

Running a single physics simulation can take hours or days, depending on the complexity of the geometry and the equations ...