Machine learning (ML), a subset of AI, has the capacity to address technical limitations that traditional diagnostic methods ...

The predominance of negative sentiment aligns with early public reactions to transformative technologies, where concerns about privacy, job loss, misinformation and ethical boundaries often amplify ...

The distribution of false information on the internet is not only an annoyance; it has the ability to alter the outcome of ...

An MRI-based AI tool shows high accuracy in differentiating Parkinsonian syndromes in a large prospective study. Learn more.

Xinjiang long-staple cotton is widely used in the production of high-end textiles due to its excellent quality. However, ...

Producing clean syngas from biomass and plastic waste offers a promising route toward sustainable energy, but the underlying thermochemical processes ...

Producing clean syngas from biomass and plastic waste offers a promising route toward sustainable energy, but the underlying thermochemical processes ...

What Iacopini found remarkable was that, even when entering a combination of the scaled-down 20 ingredient categories, a simple off-the-shelf machine learning technique, in this case a Support Vector ...

What if AI could tell you when your diabetes might get worse—before it happens? From blood sugar trends to retinal scans, ...

Think of the IBM Quantum Experience as your personal key to unlock these super-powered quantum computers. It’s a website ...

People have long turned to support groups to find assurance and connection from others with similar experiences in dealing ...

Artificial Intelligence (AI) has become a buzzword in today’s tech-driven world, promising new possibilities and reshaping industries. Despite its prevalence, ...