AI and Data Systems in Nuclear/Particle Physics, Stellenbosch University In most industries, maintenance is a waiting game. Things are fixed when they break. But in the 21st century, an age defined by ...

Artificial intelligence systems that are designed with a biologically inspired architecture can simulate human brain activity before ever being trained on any data, according to new research from John ...

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 ...

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

AI startups are seeing record valuations, but many are building on a foundation of cheap, free-to-download Chinese AI models.

Abstract: Convolutional neural networks (CNNs) have played a significant role in the recent evolution of machine learning (ML) due to their feature extraction and pattern recognition capabilities.

Abstract: Federated learning (FL) emerges as a collaborative learning framework that addresses the critical needs for privacy preservation and communication efficiency. In synchronous FL, each client ...

Combining newer neural networks with older AI systems could be the secret to building an AI to match or surpass human ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...

Researchers at the University of California, Los Angeles (UCLA), in collaboration with UC Berkeley, have developed a new type ...

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

AI-Driven Visual Intelligence forms a critical cornerstone of both computer vision and artificial intelligence, serving ...