The following is a summary of “Malignancy risk stratification for pulmonary nodules: comparing a deep learning approach to ...

As the financial industry becomes increasingly data-driven, the integration of DL technologies will be essential to navigate ...

Research published in the International Journal of Information and Communication Technology suggests that machine learning ...

While this evolution promises a more connected consumer experience, the challenges in implementation cannot be ignored.

Chewing a bagel while reading the morning news, speaking while driving, dislodging a piece of food stuck between two teeth: ...

According to Nvidia, that’s a big enough upgrade to make 4K 240fps, fully ray-traced gaming possible. Also, in an upgrade that will work on all GeForce RTX GPUs, DLSS games with Ray Reconstruction, ...

From sharper decision-making to creative breakthroughs, learn how multimodal AI is reshaping the way we think about tech.

As the project evolves, it promises to redefine dietary management, making healthy choices more accessible, accurate, and ...

SandboxAQ is proud to announce a year of exceptional progress and innovation from its AQMed division. Combining artificial intelligence with advanced sensors, AQMed empowers clinicians to make faster ...

A Deep Neural Network (DNN ... to model temporal or sequential data due to the absence of memory elements or feedback loops. Convolutional Neural Networks (CNNs): Convolutional Neural Networks (CNNs) ...

Over the past 25 years, technological innovation has accelerated unprecedentedly, transforming societies worldwide.

In this piece, JOSEPH INOKOTONG identifies some of the strategies the insurance industry should focus on to balance the ...