A team of researchers has found a new way to detect dangerous strains of bacteria, potentially preventing outbreaks of food poisoning. The team developed a method that utilizes machine learning and tested it with isolates of Escherichia coli strains. The details are in a paper that was just published in the journal Proceedings of the National Academy of Sciences. Most strains of Escherichia coli are harmless and naturally found in the human body. There are pathogenic strains, however, and they are a rising health concern.

A few months ago, my aunt sent her colleagues an email with the subject, "Math Problem! She thought her solution was obvious. Her colleagues, though, were sure their solution was correct--and the two didn't match. Was the problem with one of their answers, or with the puzzle itself? My aunt and her colleagues had stumbled across a fundamental problem in machine learning, the study of computers that learn.

A.I. Artificial Intelligence tell story about "Eleven-year-old David is the first android with human feelings. He is adopted by the Swinton family to test his ability to function. Before they are done testing him though David goes off on his own following his wish to be a human. He is on an odyssey to understand the secret to his existence. A science fiction film from Steven Spielberg taken over from Stanley Kubrick."

APPLE released the iPhone 7 last week along with iOS 10, a major upgrade for its popular mobile operating system. What better time to download some apps to take the new hardware and software for a spin? In one update, Apple's messaging system, iMessage, got a turbo boost. It now lets people embellish conversations with stickers, interactive drawings and animations. The messaging system even gets its own App Store for downloading third-party stickers and games.

Microsoft has announced a quartet of new initiatives focusing on using artificial intelligence in health care. The company says its researchers are effectively working to "solve" cancer, deploying machine learning techniques for tasks like analyzing tumors and designing new medication regimes. Another projects wants to construct detailed simulations of how cancer develops in different patients' bodies, while one particularly ambitious project -- which Microsoft is calling its "moonshot" effort -- aims to create biological cells that are programmable like computers. Now, creating cells designed to fight cancer is obviously an ambitious task (if it's even possible) and Microsoft is not offering much detail about this particular project. However, personalizing medicine using AI is a much more attainable -- and hopefully effective -- goal.

Those microphones are backed by Intel's Real Audio technology, a natural language processing system that can respond to commands and questions, and follow context. The Oakley Radar Pace system responded with the beats per minute measurement. It even includes touch sensitive controls, which you can use to access music and talk to Intel Real Audio. For all the built-in technology and sensors, the Radar Pace lacks a heart rate monitor, which means that, if you want to track that key workout metric, you'll need to wear and connect to a third party device.

Dr. Yoshua Bengio's current interests are centered on a quest for AI through machine learning, and include fundamental questions on deep learning and representation learning, the geometry of generalization in high-dimensional spaces, manifold learning, biologically inspired learning algorithms, and challenging applications of statistical machine learning. He is the author of two books and more than 200 publications, with the most influential being from the areas of deep learning, recurrent neural networks, probabilistic learning algorithms, natural language processing, and manifold learning. Dr. Bengio received a Ph.D. from McGill University in 1991, before completing two post-doctoral years at M.I.T. and AT&T Bell Laboratories. He is the Canada Research Chair in Statistical Learning Algorithms. For more, read the white paper, "Computing, cognition, and the future of knowing" https://ibm.biz/BdHErb

Google this week debuted new search and natural-language-processing (NLP) features in its Drive cloud storage service. The key NLP features, which Google has invested in for many years, will be familiar to Google Search users. The search bar in Drive now shows suggestions and retrieves files based on commonly used phrases. NLP is a "fancy way of saying'search like you talk,'" wrote Google Product Manager Josh Smith, in a blog post. "Drive will understand what you mean and give you the option to click for those specific search results."

Mark your Google calendars because from today'Don't be evil' rides again, via the DeepMind AI division of the Alphabet ad giant, as a Hippocratic assurance to'Do no harm'. It's no small irony that DeepMind's new mantra for its healthcare push, voiced by co-founder Mustafa Suleyman at an outreach event today for patients to hear what the Google-owned company wants to build with U.K. National Health Service data, is uncomfortably close to its old one -- i.e. the one that embarrassingly fell out of favor. Suleyman cited the Hippocratic oath when discussing his takeaways from patient feedback on the company's plans. "[Do no harm] has to be a mantra we repeat and becomes an inherent part of our process," he said towards the end of the three hour discussion session which was live streamed on YouTube (with a call for comments via a #DMHpatients Twitter hashtag). "And [do no harm] should be the first measure of success before any deployment or before we attempt to demonstrate any utility and patient benefit," he added.

In a major initiative that has been in the works for two years, Salesforce is integrating artificial intelligence into all of its CRM cloud platforms. It enables any business to use clicks or code to build AI-powered apps that get smarter with every interaction. Their AI system learns from all of the data you enter about your customers and prospects (CRM data, email, calendar, social, ERP, and IoT), and makes predictions and recommendations on actions you should consider. Salesforce Einstein is designed to help their customers take advantage of the huge amounts of data produced by making sense of it and seeing trends before humans typically do. What Salesforce has done is to make the use of artificial intelligence possible for all businesses, without have to employ their own data science teams.