The graph represents a network of 1,485 Twitter users whose recent tweets contained "#MegaTrends", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Tuesday, 26 November 2019 at 16:54 UTC. The tweets in the network were tweeted over the 9-day, 6-hour, 9-minute period from Sunday, 17 November 2019 at 10:27 UTC to Tuesday, 26 November 2019 at 16:36 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

MIT researchers have devised a method that accelerates the process for creating and customizing templates used in medical-image analysis, to guide disease diagnosis. One use of medical image analysis is to crunch datasets of patients' medical images and capture structural relationships that may indicate the progression of diseases. In many cases, analysis requires use of a common image template, called an "atlas," that's an average representation of a given patient population. Atlases serve as a reference for comparison, for example to identify clinically significant changes in brain structures over time. Building a template is a time-consuming, laborious process, often taking days or weeks to generate, especially when using 3D brain scans.

The Whole time Director, Amnaika Roy Rashtrawar, of IFFCO Tokio General Insurance said that technology would play a major role in the extension of the reach of insurance products to several remotest parts of the country. She shared her views during an interview regarding the recent developments in the space of general insurance and the future plans of the company that would have a significant impact on their customer's experience. Interviewer: In your opinion, will technology be able to play a bigger role for insurance penetration in India, keeping in mind the cheap data plans and the increasing number of users of smartphone? Technology has always been a major promoter of insurance products. As more and more customers shall be getting access to the internet via high-speed networks, technology shall be helping to extend the reach of products of insurance.

The automated nature of such attacks means that they can be launched at speeds far in excess of what humans are capable of, he said, suggesting that attacks could happen on a microsecond-by-microsecond level. "We're going to have to understand the implications of, not people-to-machine attacks, but machine-to-machine attacks," said Mr. Fanning. Some security teams are using AI defensively, but cybersecurity leaders across sectors worry that the same technology could propel sophisticated attacks that will be difficult to fend off. A congressional report published last year raised the possibility of AI-based attacks overwhelming grid defenses. Utilities need to invest in defenses and do so quickly, said Mark James, an adjunct professor of law at Vermont Law School and a co-author of a report on state power utilities' cybersecurity practices, published this month.

This post is co-authored by Anny Dow, Product Marketing Manager, Azure Cognitive Services. In an age where low-latency and data security can be the lifeblood of an organization, containers make it possible for enterprises to meet these needs when harnessing artificial intelligence (AI). Since introducing Azure Cognitive Services in containers this time last year, businesses across industries have unlocked new productivity gains and insights. The combination of both the most comprehensive set of domain-specific AI services in the market and containers enables enterprises to apply AI to more scenarios with Azure than with any other major cloud provider. Organizations ranging from healthcare to financial services have transformed their processes and customer experiences as a result.

Today on THCB Spotlights, Matthew speaks with Jeremy Orr, CEO of Medial EarlySign. Medial EarlySign does complex algorithmic detection of serious diseases, working on early detection of cancer and the progression of chronic disease such as diabetes. Tune in to hear more about this AI/ML company that has been working on their algorithms since before many had even heard about machine learning, what they've been doing with Kaiser Permanente and Geisinger, and where they are going next. Filmed at the HLTH Conference in Las Vegas, October 2019.

What makes the difference between a good soccer player and a great one? Players regularly train with GPS sensors strapped across their chests. Israeli sports-tech startup PlayerMaker makes a small device that tracks much more than GPS can. Worn on a player's shoes during training, its sensors and proprietary software detect every ball touch and build an accurate player "gait profile." "The sensors know if you make a pass, a run or interception," says CEO Guy Aharon.

The newest librarian at the University of Oklahoma is a robot. It's a chatbot, which library officials plan to add to the library's website this summer to answer some of the most common questions students come in with, as well as to help them get started with their research. The system can tackle things like "where can I print?" or "what databases do you have about biology?" Anything it can't answer gets sent to a human librarian. The bot is just one example of how college libraries and technologists are experimenting with artificial intelligence to support students and professors in their research. Algorithms may soon help them prepare their literature reviews by quickly finding the most important papers in an area, and help match researchers with peers in other disciplines doing similar work to form new collaborations.

Human beings take an average of 27 years to mature, leave home, start a separate household, and start having children. In the US, once a household is formed, the average American has 1.9 children. At 1.9 children per household, the US is below the basic sustainable population level of 2.1 children per woman. Despite widespread concern about population growth, we actually have halved our fertility rate (TFR) from 4.5 to 2.4 globally, pushing us under the basic replenishment rate. As humans, we have a long history of continually renegotiating an equilibrium with our environment.

Today, the practical synergies between economics and computer science are flourishing. We outline some of the many opportunities for the two disciplines to engage more deeply through the new MIT Schwarzman College of Computing." Nancy L. Rose is the Charles P. Kindleberger Professor of Applied Economics and head of the MIT Department of Economics, where her research and teaching focus on industrial organization, competition policy, and the economics of regulation. David Autor is the Ford Professor of Economics and co-director of the MIT Task Force on the Work of the Future. His scholarship explores the labor market impacts of technological change and globalization, earnings inequality, and disability insurance and labor supply.