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.

The graph represents a network of 2,690 Twitter users whose tweets in the requested range contained "TopCyberNews", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 25 November 2019 at 16:44 UTC. The requested start date was Monday, 25 November 2019 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000. The tweets in the network were tweeted over the 5-day, 1-hour, 39-minute period from Tuesday, 19 November 2019 at 17:06 UTC to Sunday, 24 November 2019 at 18:46 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.

Placentas can provide critical information about the health of the mother and baby, but only 20 percent of placentas are assessed by pathology exams after delivery in the U.S. The cost, time and expertise required to analyze them are prohibitive. Now, a team of researchers has developed a novel solution that could produce accurate, automated and near-immediate placental diagnostic reports through computerized photographic image analysis. Their research could allow all placentas to be examined, reduce the number of normal placentas sent for full pathological examination and create a less resource-intensive path to analysis for research--all of which may positively benefit health outcomes for mothers and babies. "The placenta drives everything to do with the pregnancy for the mom and baby, but we're missing placental data on 95 percent of births globally," said Alison Gernand, assistant professor of nutritional sciences in Penn State's College of Health and Human Development. "Creating a more efficient process that requires fewer resources will allow us to gather more comprehensive data to examine how placentas are linked to maternal and fetal health outcomes, and it will help us to examine placentas without special equipment and in minutes rather than days."