Researchers from Delft University of Technology in the Netherlands have created a rewritable data-storage device capable of storing information at the level of single atoms representing single bits of information. The technology, which is described in the current issue of Nature Nanotechnology, is capable of packing data as dense as 500 terabytes per square inch. Theoretically, the device could store the entire contents of the US Library of Congress within a 0.1-mm-wide cube--though the proof-of-concept demonstrated by the group topped out at 1 kilobyte. On Tuesday, DigitalGlobe, a satellite-imagery company, announced that it will provide high-resolution pictures of the planet's surface to Uber. DigitalGlobe is the primary provider of satellite imagery to Google, Apple, and the U.S. government.

Investors looking for the most recent technology trends should look no further than the Gartner's Top Tech Trends 2016 list. The research firm has divided the top tech trends in business into several categories and we dove down into a few them to pull out some of the best ones for investors. They include: driverless cars, artificial intelligence, and virtual and augmented reality. IHS Automotive estimates that 10% of all light vehicles sold by 2035 will by fully autonomous (as in, they can drive themselves around everywhere). The group also anticipates that driverless cars will become ubiquitous some time after 2050.

For insurers, artificial intelligence – as represented by cognitive computing and robotic process automation -- may be the single most disruptive emerging technology on the near horizon. Insurers, along with other businesses, will use machines capable of complex reasoning and interaction to enhance human capabilities. The potential gains in effectiveness and efficiency in areas ranging from underwriting to claims processing to risk management are enormous. A number of converging elements have led to the rise of artificial intelligence. For example, there have been vast increases in the volumes of available data, with an estimated 44 zettabytes of data by 2020.

Lunch dates, business meetings, and social gatherings sound like random events, but they all share two things in common: personal interactions and scheduling. Social dynamics include the behaviors, relationships and interactions of individuals and groups. We know the reason companies invest so much in automated systems is in an effort to save time and money. MeetVibe integrates the latest technology to reduce the time required for the act of scheduling so that people can make the most of their time with the ones who are important to them.

Lunch dates, business meetings, and social gatherings sound like random events, but they all share two things in common: personal interactions and scheduling. Some exchanges are spontaneous while at work or on the go. Other meetings are scheduled in advance by saving the date and confirming an appointment. Social dynamics include the behaviors, relationships and interactions of individuals and groups. Relationships play a role in every interaction, and individuals are influenced by one another's behavior.

As artificial intelligence (AI) makes deeper inroads to improve our daily life, a group of Land Rover engineers have helped the British Land Rover BAR team by building a faster boat so that they could win the sailing competition America's Cup. Using AI, the engineers worked for more than a year to find patterns in the boat's performance data which could be used to make it go faster, the company said in a statement on Thursday. Land Rover BAR is second in America's Cup World Series rankings, following a podium finish in Chicago in the US recently. The next leg is in the island city of Portsmouth from July 21-24 when the team will try to close the 10-point gap to series leader Emirates Team New Zealand. "Land Rover's AI could prove the difference in its bid to win the America's Cup for the first time for Britain," said Sir Ben Ainslie, Land Rover BAR Team's principal and skipper.

Though Google is pushing hard on cloud, competition is fierce, with AWS and Microsoft showing strong growth in the space this year. But the company has renewed its cloud business efforts this year, led by Diane Greene, Google's head of cloud computing. Greene has argued that Google's cloud platform is ready to compete with cloud industry leaders. Amazon, Microsoft and IBM all also offer machine-learning programs with their cloud services, but Google is publicizing how companies can rent its computer servers for AI initiatives to help it stand out among the competition. The new tools Google introduced, for example, makes it so "digital marketers can analyze online product reviews or service centers can determine sentiment from transcribed customer calls," according to a company blog.

Machine learning has made a significant practical impact in a vast array of disciplines, ranging from healthcare to defense to finance. This presentation will be focused on healthcare and will describe how machine learning techniques may be applied to improve patient outcomes in three different clinical applications, including: the reduction of false cardiac arrhythmia alarms in the intensive care unit (ICU), the prediction of acute hypotensive episodes in the ICU, and the automated classification of heart sounds using phonocardiography. Each of these research topics presents its own unique challenges that influence the selection of optimal machine learning algorithms. Machine learning techniques have been shown to enhance patient outcomes in not only these three applications, but also in a wide variety of additional clinical scenarios. The results underscore the value of data in making more informed patient care decisions and also help to demonstrate the wide applicability of machine learning algorithms.

Disease risk estimates can be used as prognostic information and support for treating CVDs. The commonly used Framingham risk score (FRS) for CVD prediction is outdated for the modern population, so FRS may not be accurate enough. In this paper, a novel CVD prediction system based on machine learning is proposed. Methods: This study has been conducted with the data of 689 patients showing symptoms of CVD. Furthermore, the dataset of 5,209 CVD patients of the famous Framingham study has been used for validation purposes.

As a Stanford student, Zeshan Hussain found many ways to take part in public service projects near and far – on campus, at a high school on the other side of San Francisco Bay and at a tropical disease hospital in India. In January 2016, along with other members of the Muslim Student Union (MSU) and other student groups, Hussain helped organize Syrian Refugee Awareness Week, which included a teach-in about the crisis, a benefit dinner to raise funds for the charity United Muslim Relief and a clothing collection drive in student residence halls. The organization brought in Sana Khatib, a Syrian-American activist whose father is a former political prisoner and whose family fled Syria and the Assad regime when she was young. Through a clothing drive the MSU also collected 500 pounds of clothing just on campus from students and faculty, an accomplishment Hussain described as "very heartening." "We wanted to raise awareness about the crisis and its history, and about the personal struggles of students who may be refugees, or students who have families that are refugees," he said.