AI tagged posts

Teaching machine learning tools to detect specific objects in a specific image and discount others is a “game-changer” that could lead to advancements in cancer detection, according to leading researchers from the University of Surrey.

Surrey is set to present its unique sketch-based object detection tool at this year’s Computer Vision, Pattern, and Recognition Conference (CVPR). The tool allows the user to sketch an object, which the AI will use as a basis to search within an image to find something that matches the sketch — while discounting more general options.

Professor Yi-Zhe Song, leads this research at the University of Surrey’s Institute for People-Centred AI. He commented:

“An artist’s sketch is full of individual cues that words cannot convey concisely, reiterating...

Researchers chart course for the design, testing, and implementation of next-gen AI in medicine.

Most medical AI models in use today are trained to perform one or two specific tasks and have limited utility. Next-generation AI — called generalist medical AI — incorporates various types of data to perform a variety of complex tasks in a range of clinical scenarios. Generalist medical AI can reshape medicine by augmenting clinical decision-making, real-time surgical and bedside support, and more.

The vast majority of AI models used in medicine today are “narrow specialists,” trained to perform one or two tasks, such as scanning mammograms for signs of breast cancer or detecting lung disease on chest X-rays.

But the everyday practice of medicine involves an endless array of clin...

The exoplanet was detected using machine learning, a branch of artificial intelligence

A University of Georgia research team has confirmed evidence of a previously unknown planet outside of our solar system, and they used machine learning tools to detect it.

A recent study by the team showed that machine learning can correctly determine if an exoplanet is present by looking in protoplanetary disks, the gas around newly formed stars.

The newly published findings represent a first step toward using machine learning to identify previously overlooked exoplanets.

“We confirmed the planet using traditional techniques, but our models directed us to run those simulations and showed us exactly where the planet might be,” said Jason Terry, doctoral student in the UGA Franklin Colleg...