If there's one thing doctors and patients want from breast cancer diagnoses, it's reliability. Keeping up with the massive flow of research data on breast cancer is a challenge for scientists. And the variety of methods used to analyze that data make reliable predictions difficult to come by. A team from Harvard Medical School's Beth Israel Deaconess Medical Center (BIDMC) tackled this issue using deep learning, in the 2016 Camelyon Grand Challenge. Hosted by the International Symposium on Biomedical Imaging, the competition aims to determine how algorithms can help pathologists better identify cancer in lymph node images.

Google, the company that has done more than any other to democratize mobile computing, argues that we are moving away from a mobile-first world. Indeed, at the company's wide-ranging product reveal on Tuesday in San Francisco, it rarely mentioned Android at all. Yet all the products that Google announced at its event introduced either complemented or reacted to the phone. In addition to the Pixel smartphone itself, the first Daydream VR goggles and controller are aggressively priced at 79 in part due to their reliance on Daydream-ready smartphones such as the Pixel (as opposed to PC-based systems from HTC and Oculus). And the Chromecast Ultra seeks to provide more 4K programming options for TV watchers by leveraging the phone as a content source.

This story was delivered to BI Intelligence Apps and Platforms Briefing subscribers. To learn more and subscribe, please click here. Chatbots are being touted as the next platform in which businesses will engage with consumers. Because of this, developers must find methods to measure the success of the nascent technology, according to media and marketing firm Topbot's head of design and engagement Mariya Yao. That's because existing metrics used to measure app engagement, such as daily active users and session length, aren't quite efficient at capturing the unique conversational nature of chatbots.

There's no question that digital tech has dramatically changed our world. In the workplace, however, this technology can either amplify or hinder your productivity. The recruitment space is no exception. In fact, new technologies like artificial intelligence (AI) and machine learning are truly revolutionizing this space at a blistering pace. With so much tech out there, it's difficult to find software that actually adds value to your recruitment needs.

When writing the screenplay for 1968's 2001, Arthur C. Clarke and Stanley Kubrick were confident that something resembling the sentient, humanlike HAL 9000 computer would be possible by the film's namesake year. That's because the leading AI experts of the time were equally confident. Clarke and Kubrick took the scientific community's predictions to their logical conclusion, that an AI could have not only human charm but human frailty as well: HAL goes mad and starts offing the crew. But HAL was put in an impossible situation, forced to hide critical information from its (his?) coworkers and ordered to complete the mission to Jupiter no matter what. "I'm afraid, Dave," says the robot as it's being dismantled by the surviving astronaut.

Artificial intelligence (A.I.) has become one of the hottest topics in business recently, with developers building the technology into everything from cars to refrigerators. Some have expressed skepticism about AI's potential, but early product offerings have revealed technology that appears to actually enhance the work professionals do rather than replace it. Jamie Domenici, Salesforce's VP of Small Business, is excited about the way A.I. is affecting sales and marketing. I sat down with her at this year's Dreamforce in San Francisco, where attendees got a close up look at the company's new A.I. tool Einstein, which the company is embedding into its products and services. She spoke to me about how A.I. stands to improve efficiency for many salespeople and marketers.

The big bang happened in 2012-2013 when two landmark papers were published, both using GPUs,

Several years ago, programmatic trading looked like it would kill the media buyer. Of course, in hindsight, we know that wasn't the case. Programmatic trading reduced the number of salespeople making cold calls as well as the number of analysts necessary to calculate media yield, but those activities were at the margins of the advertising business. The core of the advertising business is to draw out emotional connections between brands and consumers. A media buyer intuitively understands what an algorithm can never grasp--that a Ford means something very different to an audience than a Cadillac.

MIT's Computer Science and Artificial Intelligence Lab (CSAIL) has led one of the most notable efforts in this regard, developing a system called AI2, an adaptive cybersecurity platform that uses machine learning and the assistance of expert analysts to adapt and improve over time. The system uses near-real-time analytics to identify known security threats, stored data analytics to compare samples against historical data and big data analytics to identify evolving threats through anonymized datasets gathered from a vast number of clients. Combining this capability with the data already being gathered by IBM's threat intelligence platform, X-Force Exchange, the company wants to address the shortage of talent in the industry by raising Watson's level of efficiency to that of an expert assistant and help reduce the rate of false positives. This technique gives the cybersecurity firm the unique ability to monitor billions of results on a daily basis, identify and alert about the publication of potentially brand-damaging information and proactively detect and prevent attacks and data loss before they happen.

And he explained how he did it. In this post, you will discover the lessons learned by Per on his transition. You will discover two methodologies he adopted and how you can use them. And you will discover the advice Per has for beginners, like you, that are also looking to make the transition. And you will discover the advice Per has for beginners, like you, that are also looking to make the transition.