Google's artificial intelligence system can identify breast cancer more accurately than radiologists, according to a study published in Nature on Wednesday. The model, created in collaboration with cancer researchers and Google Health, was trained on X-ray images, known as digital mammography, from women in the U.K. and U.S. to spot signs of breast cancer in the scans. Researchers used mammograms from 76,000 women in the U.K. and more than 15,000 women in the U.S., according to Google Health. Shravya Shetty, technical lead at Google Health who co-authored the study, said the results "exceeded expectations" and revealed possibilities that the AI could assist in workload reduction by being employed as a second reader with breast cancer screenings. Researchers noted that the model received less information than human experts, only processing the most recent of an anonymized mammogram.

"i want to talk to you." "i want to be with you." "i don't want to be with you." i don't want to be with you. What reads like bad teen poetry is actually supposed to help Google sound more human. Researchers from the company's deep learning arm, Google Brain, is hoping to find ways to make its search and apps understand and adapt to the way people actually speak--in part by feeding 2,865 romance novels to an AI system. The unpublished paper was presented at the International Conference on Learning Representations on May 3. It shows how the team of linguists and computer scientists poured 11,000 yet unpublished books--including nearly 3,000 romance and 1,500 fantasy novels--into a neural network model, which is meant to mimic how the human brain works. Next, the researchers presented the system with two sentences from the books and asked it to generate sentences that could create a meaningful progression between the two.