Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...
Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...
Brookhaven National Laboratory have developed a novel artificial intelligence (AI)-based method to dramatically tame the ...
Generative AI models have been used to create enormous libraries of theoretical materials that could help solve all kinds of ...
The jury’s out on screen scraping versus official APIs. And the truth is, any AI agent worth its salt will likely need a ...
Commuters jumped in fright as a snake slithered across a city train platform in Australia, proving nowhere is safe from the ...
Artificial intelligence is reshaping cybersecurity, but much of that progress has focused on cloud and enterprise ...
Travel misery was set to continue Sunday as a powerful snowstorm blasted southern US states, bringing subzero temperatures to ...
AI in pharma has the potential to overhaul drug discovery, clinical trials, manufacturing, and marketing by analysing vast datasets to speed up processes, reduce costs, and enable personalised ...
The absence of reliable data on fundamental economic indicators (e.g. real GDP), combined with structural shifts in the economy, can severely constrain the ability to conduct accurate macroeconomic ...
Optical AI is revolutionizing sensor technology, integrating sensing and processing for efficient, low-power intelligent vision in real-time applications.
Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.
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