Northwestern University and University of California, Los Angeles (UCLA) scientists have developed a new process-based ...

Aramide’s paper titled, ‘Quantum-Safe Networking for Critical AI/ML Infrastructure’, investigates the implications of quantum ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

Background Current risk scores inadequately predict long-term mortality after transcatheter aortic valve replacement (TAVR), ...

One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...

Automation has moved from the factory floor to the inbox and beyond. Machine‑learning models now interpret invoices, approve ...

Despite the AI hype, ML tools really are proving valuable for leading-edge chip manufacturing. More aggressive feature ...

AI-trained data analysis models may offer a more rapid and accurate detection of a range of neurologic conditions, including ...

Advancements in biomedical technologies have significantly facilitated the diagnosis and monitoring of diseases. Nonetheless, traditional diagnostic ...

Ionic liquids (ILs) are a class of molten salts with a collection of exciting properties, which have been employed for ...

The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...

Most people are likely familiar with complicated “deep learning” models, like ChatGPT. Models to process small earthquakes ...