Research led by University of Toronto Professor Yu Zou aims to produce higher quality and more reliable metal parts for aerospace, automotive, energy and health-care applications Researchers at University of Toronto Engineering, led by Professor Yu Zou, are leveraging machine learning to improve additive manufacturing, also commonly known as 3D printing. In a new paper, published in the journal of Additive Manufacturing, the team introduces a new framework they’ve dubbed the Accurate Inverse process optimization framework in laser Directed Energy Deposition…

Technion researchers develop a technology for encoding, retrieving, and rapidly reading data stored in DNA Researchers from the Henry and Marilyn Taub Faculty of Computer Science have developed an AI-based method that accelerates DNA-based data retrieval by three orders of magnitude while significantly improving accuracy. The research team included Ph.D. student Omer Sabary, Dr. Daniella Bar-Lev, Dr. Itai Orr, Prof. Eitan Yaakobi, and Prof. Tuvi Etzion. DNA data storage is an emerging field that leverages DNA as a platform for…

American Gastroenterological Association guideline concludes that it is not clear whether computer-aided detection systems (CADe) for colonoscopy should be recommended for routine widespread use The American Gastroenterological Association (AGA) released a new clinical guideline making no recommendation — for or against — the use of computer-aided detection systems (CADe) in colonoscopy. A rigorous review of evidence showed that artificial intelligence-assisted technology helps identify colorectal polyps. However, its impact on preventing colorectal cancer — the third most common cancer worldwide —…

An AI-powered robot that can prepare cups of coffee in a busy kitchen could usher in the next generation of intelligent machines, a study suggests. Using a combination of cutting-edge AI, sensitive sensors and fine-tuned motor skills, the robot can interact with its surroundings in more human-like ways than ever before, researchers say. The new technology, developed by a team at the University of Edinburgh, could transform robots’ ability to carry out tasks that previously could only be done by…