Researchers used genome sequencing and machine learning to trace the top food sources behind Salmonella infections in the US.

I experimented using Gemini, Copilot, and ChatGPT. I was curious about which of the three would offer me more variety in ...

Researchers are leveraging machine learning to improve additive manufacturing, also commonly known as 3D printing. The team introduces a new framework they've dubbed the Accurate Inverse process ...

Researchers at University of Toronto Engineering, led by Professor Yu Zou, are leveraging machine learning to improve ...

New insights into heat transport in organic semiconductors reveal tunneling effects, enhancing the design of materials with ...

Artificial intelligence (AI) and deep learning are at the heart of modern technological innovation, powering advancements in ...

Researchers develop Symbolic Modeling—an AI-powered technique creating unified mathematical models for financial asset ...

Research highlights the use of machine learning to assess compressive strength in concrete reinforced with steel fibers, ...

Complex materials such as organic semiconductors or the microporous metal-organic frameworks known as MOFs are already being ...

Scientists have recently detailed how automation and machine learning can aid clinicians treating patients with spreading depolarizations, sometimes referred to as 'brain tsunamis.' ...

The ability for machine learning systems to recognize the events that occur inside a video is crucial to the future of ...

The democratisation of data insight is a positive for football. AI and Whatsapp are key to that, especially when it comes to ...