Discover how optical fibres can revolutionize AI computing with speed, efficiency, and accuracy using the physics of light.

AEquity aims to improve training for healthcare machine-learning algorithms by assessing the accuracy and fairness of the ...

Machine learning algorithms have been used to predict cancer progression, identify early signs of Parkinson’s disease, and ...

QNNs achieved 95 percent accuracy, while QSVMs reached 94 percent, both surpassing classical machine learning methods, which ...

Artificial Intelligence (AI) has become a part of everyday life. It is visible in medical chatbots that guide patients and in generative tools that assist artists, writers, and developers. These ...

Zapier reports that AI automation enhances traditional automation by combining intelligent technologies, improving efficiency ...

The vision of Ambient AI in smart homes promises an intelligent system that understands and adapts to its occupants. Despite ...

AI inspection uses machine learning and high-resolution imaging to detect packaging defects—like seal leaks, mislabels, or ...

Researchers at New York City-based Icahn School of Medicine at Mount Sinai Health System have developed AEquity, a tool designed to detect and mitigate biases in datasets used to train ...

In recent years, artificial intelligence has brought a major breakthrough in how we solve complex challenges in various workplaces. Generally, in healthcare, where these complex tasks and challenges ...

The Laser Interferometer Gravitational-Wave Observatory, commonly known as LIGO, has been an instrumental player in detecting gravitational waves, furthering our ...