Computer Sciences

Training AI classifiers to better sort plankton images

Although AI algorithms have achieved quite some progress in plankton image recognition, most of them can only deal with limited number of known classes. In reality, however, ocean scientists will definitely meet with new ...

Machine learning & AI

Artificial intelligence spots anomalies in medical images

Scientists from Skoltech, Philips Research, and Goethe University Frankfurt have trained a neural network to detect anomalies in medical images to assist physicians in sifting through countless scans in search of pathologies. ...

Automotive

Activity detection inside a vehicle

Is the driver tired or even asleep? Cameras in the vehicle's interior can monitor this. Especially in the case of automated driving, interior cameras are important and prescribed by law. A new system developed by the Fraunhofer ...

Energy & Green Tech

AI system-on-chip runs on solar power

AI is used in an array of useful applications, such as predicting a machine's lifetime through its vibrations, monitoring the cardiac activity of patients and incorporating facial recognition capabilities into video surveillance ...

Computer Sciences

Topological data analysis can help predict stock-market crashes

EPFL scientists, together with local startup L2F, have developed a robust model that can predict when a systemic shift is about to occur, based on methods from a branch of mathematics called topological data analysis.

Computer Sciences

Facebook enhances AI computer vision with SEER

At a time when many versions of AI rely on pre-established data sets for image recognition, Facebook has developed SEER (Self-supERvised) – a deep learning solution able to register images on the Internet independent of ...

Computer Sciences

Neural network model finds small objects in dense images

In efforts to automatically capture important data from scientific papers, computer scientists at the National Institute of Standards and Technology (NIST) have developed a method to accurately detect small, geometric objects ...

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