The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

Most AI models are developed behind closed doors with unclear documentation and limited visibility into the training data.

While AI-driven approaches tout increased speed and lower costs, commercial interests compromise scientific collaboration.

A Comparative Study of AI-Powered Chatbot for Health Care. Journal of Computer and Communications, 13, 48-66. doi: 10.4236/jcc.2025.137003 . The need for this research arises from the increasing ...

Plants produce a wide diversity of compounds. Broadly, these are separated into primary metabolites, which are necessary for ...

Objective Long-term azithromycin treatment effectively prevents acute exacerbations of chronic obstructive pulmonary disease ...

From machine learning and deep learning to generative AI and natural language processing, different types of AI models serve various use cases—for example, automating tasks, developing better ...

Flowchart of this work: (A) discrete element method (DEM)–lattice Boltzmann method (LBM) and (B) machine learning. Credit: International Journal of Mechanical System Dynamics (2024).

An approach through Agile development and model quality simulation. The concept-development and acquisition communities have long treated artificial intelligence and machine learning (AI/ML) as ...

Machine learning (ML) uses advanced mathematical models known as algorithms to improve artificial intelligence tools by helping them analyze and comprehend data, letting them “learn” from that ...

Embedded developers can deploy AI and ML models developed on Edge Impulse’s platform directly in Arm’s Keil microcontroller development kit (MDK). The partnership between the two companies makes it ...