High-throughput technologies are currently flooding life sciences with massive, highly complex multi-omics and biological ...

James McDonagh discusses how AI and machine learning are transforming drug discovery and safety assessment, enhancing ...

Abstract: With the continuous growth of urban traffic deat mand, traffic flow prediction faces modeling challenges due to its highly nonlinear spatiotemporal coupling characteristics and the ...

AI nuclear reactor simulation just cleared a decades-long engineering hurdle: Argonne National Laboratory has embedded a ...

Abstract: Deep learning models have been able to generate rain-free images effectively, but the extension of these methods to complex rain conditions where rain streaks show various blurring degrees, ...

Over the past few decades, rapid progress in both tissue engineering and regenerative medicine has revolutionized approaches to tissue regeneration and ...

A research team from The Hong Kong University of Science and Technology (HKUST) has developed a novel AI framework, the ...

Extreme urban flooding is a growing challenge under climate change, threatening residents, infrastructure and urban systems.

Engineering leaders should build highly adaptable, vendor-agnostic infrastructure instead of relying on expensive, ...

For life sciences executives evaluating digital health portfolios, anatomically informed architectures represent a defensible ...

A cluster comprises a group of interconnected servers (aka nodes) across multiple racks, connected via Ethernet and increasingly via optical links, and is ideal for workloads that are so large and ...

Vision, vision-language, and multimodal models (hereafter collectively referred to as vision models) continue to demonstrate ...