Viral AI agent project OpenClaw, which has made headlines across the world in recent weeks, harnesses existing LLMs to let ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...
From prompt injection to deepfake fraud, security researchers say several flaws have no known fix. Here's what to know about them.
Retinal detachments can be diagnosed using a deep learning-powered fundus imaging system, offering expertise to screening sites.
Deep learning detects foodborne bacteria within three hours by eliminating debris misclassifications
Researchers have significantly enhanced an artificial intelligence tool used to rapidly detect bacterial contamination in ...
A new imaging breakthrough combines ultrasound and light-based techniques to generate vivid 3D images that show both tissue ...
1 Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russia 2 All-Russian Institute of Plant Protection, Saint Petersburg, Russia However, despite rapid methodological advances, ...
Rusty bolts are one of those small home issues that feel incredibly annoying, especially when the bolt itself won't budge from where it's installed. When you realize the bolt head is covered in rust, ...
In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.
Abstract: This systematic literature review explores various machine learning (ML) approaches for the classification of wheat rust diseases, a significant threat to global food security. With the ...
Department of Electronics Communication Engineering, SRM Institute of Science and Technology, Vadapalani Campus, Chennai, India Introduction: Early and accurate detection of crop stress is vital for ...
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