Credit: /iStock Solares worked with UC Cooperative Extension Specialist Jackson Gross from the Department of Animal Science ...

A recent study introduces an advanced anomaly-based intrusion detection system (IDS) designed to address the increasing cyber threats targeting Internet of Things (IoT) devices. By combining machine ...

With the development of AI technologies, the sensitivity of lung cancer detection using LDCT has significantly improved. AI ...

One of AI’s most immediate impacts is in screening and identifying patients who may have asymptomatic or paroxysmal AF, those ...

Using artificial intelligence shortens the time to identify complex quantum phases in materials from months to minutes, finds a study. The breakthrough could significantly speed up research into ...

Find people pictures quickly, weed out duff group shots and cull video with artificial intelligence in Excire's latest ...

The rise of AI in health care presents new challenges related to the patentability and regulation of AI-driven medical ...

In February of this year, the JPEG AI international standard was published, after several years of research aimed at using ...

Explore PaperBench, OpenAI's benchmark for testing AI in replicating cutting-edge research papers and its implications for ...

Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on enabling computers to learn from data and ...

Therefore, to improve speed and accuracy in heart disease (HD ... to extract features from ECG signals and CXR images. These features serve as inputs for AI-based detection models, with six machine ...

coupled with machine learning (artificial intelligence) algorithms, achieved 95% mapping accuracy. Geobiology is a technique that allows satellite images to be processed using segmentations that ...