AI tagged posts

From “Law and Order” to “CSI,” not to mention real life, investigators have used fingerprints as the gold standard for linking criminals to a crime. But if a perpetrator leaves prints from different fingers in two different crime scenes, these scenes are very difficult to link, and the trace can go cold.

It’s a well-accepted fact in the forensics community that fingerprints of different fingers of the same person—”intra-person fingerprints”—are unique and, therefore, unmatchable.

A team led by Columbia Engineering undergraduate senior Gabe Guo challenged this widely held presumption...

Limits of large language models in precision medicine. Treating cancer is becoming increasingly complex, but also offers more and more possibilities. After all, the better a tumor’s biology and genetic features are understood, the more treatment approaches there are. To be able to offer patients personalized therapies tailored to their disease, laborious and time-consuming analysis and interpretation of various data is required. Researchers at Charité — Universitätsmedizin Berlin and Humboldt-Universität zu Berlin have now studied whether generative artificial intelligence (AI) tools such as ChatGPT can help with this step...

The black and yellow robot, meant to resemble a large dog, stood waiting for directions. When they came, the instructions weren’t in code but instead in plain English: “Visit the wooden desk exactly two times; in addition, don’t go to the wooden desk before the bookshelf.”

Four metallic legs whirred into action. The robot went from where it stood in the room to a nearby bookshelf, and then, after a brief pause, shuffled to the designated wooden desk before leaving and returning for a second visit to satisfy the command.

Until recently, such an exercise would have been nearly impossible for navigation robots like this one t...

Researchers at Monash University have designed a new co-training AI algorithm for medical imaging that can effectively mimic the process of seeking a second opinion.

Published recently in Nature Machine Intelligence, the research addressed the limited availability of human annotated, or labelled, medical images by using an adversarial, or competitive, learning approach against unlabelled data.

This research, by Monash University faculties of Engineering and IT, will advance the field of medical image analysis for radiologists and other health experts.

PhD candidate Himashi Peiris of the Faculty of Engineering, said the research design had set out to create a competition between the two components...