Doctors believe Artificial Intelligence is now saving lives, after a major advancement in breast cancer screenings. A.I. is detecting early signs of the disease, in some cases years before doctors would find the cancer on a traditional scan. Scientists have found a drug that could combat drug-resistant infections – and they did it using artificial intelligence. Using a machine-learning algorithm, researchers at the Massachusetts Institute of Technology (MIT) and Canada's McMaster University have identified a new antibiotic that can kill a type of bacteria responsible for many drug-resistant infections. The compound kills Acinetobacter baumannii, which is a species of bacteria often found in hospitals.

Scientists using artificial intelligence have discovered a new antibiotic that can kill a deadly superbug. According to a new study published on Thursday in the science journal Nature Chemical Biology, a group of scientists from McMaster University and the Massachusetts Institute of Technology have discovered a new antibiotic that can be used to kill a deadly hospital superbug. The superbug in question is Acinetobacter baumannii, which the World Health Organization has classified as a "critical" threat among its "priority pathogens" – a group of bacteria families that pose the "greatest threat" to human health. According to the WHO, the bacteria have built-in abilities to find new ways to resist treatment and can pass along genetic material that allows other bacteria to become drug-resistant as well. A baumannii poses a threat to hospitals, nursing homes and patients who require ventilators and blood catheters, as well as those who have open wounds from surgeries.

While studying cancer biology as a health sciences student at McMaster University in 2016, Andrew Leber started to wonder how artificial intelligence might help diagnose and improve cancer treatments. He brought together 10 friends, also science students, for a reading group focused on technical concepts in machine learning. But it turned out many more students were interested. Leber and friends opened the reading group to a wider audience, and within a month it had 50 members. A few months later, Leber launched the McMaster AI Society, which blossomed into one of McMaster University's largest student-run clubs.

While studying cancer biology as a health sciences student at McMaster University in 2016, Andrew Leber started to wonder how artificial intelligence might help diagnose and improve cancer treatments. He brought together 10 friends, also science students, for a reading group focused on technical concepts in machine learning. But it turned out many more students were interested. Leber and friends opened the reading group to a wider audience, and within a month it had 50 members. A few months later, Leber launched the McMaster AI Society, which blossomed into one of McMaster University's largest student-run clubs. The group received a sponsorship from Microsoft and has since grown to more than 1,000 members, many of whom are from faculties such as business, the humanities and social sciences.

With a black bowler hat and a chiffon white scarf, Berenson certainly looks the part of a stuffy art connoisseur -- so long as you ignore the neural network poking out from his suit. Meet the Art Critic 2.0, built from gleaming metal and sleek sensors, with equal parts smarts and snob. The sage art critic once commanded considerable power in creative spheres, making or breaking an artist's career with a simple smirk of disapproval or a punishing review in next day's paper. But today, as the number of full-time art critics dwindles in newsrooms, a growing force of high-tech art experts is starting to pick up the slack by methodically decoding art's finest details. In Canada, the Roomba-esque kulturBOT snaps photos at exhibitions and uses an algorithm-powered "stream of consciousness" to tweet out the images with often nonsensical captions like "panting with love of danger" or "streaked with the nocturnal vibration."

With a black bowler hat and a chiffon white scarf, Berenson certainly looks the part of a stuffy art connoisseur -- so long as you ignore the neural network poking out from his suit. Meet the Art Critic 2.0, built from gleaming metal and sleek sensors, with equal parts smarts and snob. The sage art critic once commanded considerable power in creative spheres, making or breaking an artist's career with a simple smirk of disapproval or a punishing review in next day's paper. But today, as the number of full-time art critics dwindles in newsrooms, a growing force of high-tech art experts is starting to pick up the slack by methodically decoding art's finest details. In Canada, the Roomba-esque kulturBOT snaps photos at exhibitions and uses an algorithm-powered "stream of consciousness" to tweet out the images with often nonsensical captions like "panting with love of danger" or "streaked with the nocturnal vibration."

A survey of early work exploring how AI can be used in medicine, with somewhat more technical expositions than in the complementary volume Artificial Intelligence in Medicine."Each chapter is preceded by a brief introduction that outlines our view of its contribution to the field, the reason it was selected for inclusion in this volume, an overview of its content, and a discussion of how the work evolved after the article appeared and how it relates to other chapters in the book.

JANICE S. AIKINS Dr. Aikins received her Ph.D. in computer science from Stanford University in 1980. She is currently a research computer scientist at IBM's Palo Alto Scientific Center. She specializes in designing systems with an emphasis on the explicit representation of control knowledge in expert systems. ROBERT L. BLUM Dr. Blum received his M.D. from the University of California Medical School at San Francisco in 1973. From 1973 to 1976 he did an internship and residency in the Department of Internal Medicine at the Kaiser Foundation Hospital in Oakland, California, where he was chief resident in 1976.

The saying goes that'power corrupts', and a new study suggests there may be some truth behind this - especially when it comes to brain function. Researchers have found that CEOs and other leaders may suffer damage to their brain as a result of their rise to power. The damage results in the loss of the ability to read other people's emotions, which could explain why people who achieve great power lose their ability to feel empathy for the less powerful. Neuroscientists at McMaster University in Ontario used transcranial magnetic stimulation to discover the lack of empathy in people who feel powerful. Forty-five volunteers took part in the study.

A hitchhiking robot has completed a 3,700-mile journey across Canada Sunday, capping off a research project that explores the relationship between robots and humans. A team of researchers from a group of Canadian universities created hitchBOT, a talking robot made out of a bucket, garden gloves and rain boots that set out on its coast-to-coast Canadian trip in Nova Scotia on July 26. It finished the journey in Victoria, British Columbia. "Usually, we are concerned with whether we can trust robots," said Dr. Frauke Zeller, Assistant Professor in the School of Professional Communication at Ryerson University. "This project asks: can robots trust human beings?"