3 in 4 Banks in Asia Will Invest in Machine Learning This Year - Fintech Singapore


The financial services industry is undergoing profound shifts facilitated by technologies including artificial intelligence (AI), robotics and the Internet of Things (IoT), but according to Refinitiv, AI will be the single greatest enabler of competitive advantage in the financial sector. Refinitiv's newly released inaugural 2019 Artificial Intelligence / Machine Learning Global Survey found that financial institutions have gone beyond experimenting with and testing machine learning, to applying machine learning models. According to the study, 90% of the C-level executives and data scientists surveyed have already deployed machine learning either in pockets or more fully across their businesses. Approximately three quarters said that machine learning is a core component of their business strategy, and that they are making significant investments in it. "The benefits extend beyond automating rules-based repeatable tasks once done by humans," said Tim Baker, the Global Head of Applied Innovation of Refinitiv.

Who Benefits From Workplace Flexibility?


Better Life Lab is a partnership of Slate and New America. Setting your own hours and working from home are perks that many companies offer to attract and retain top talent. But this is a benefit that is really only useful for salaried professionals. For hourly workers, especially those in retail, there is such a thing as too much workplace flexibility, and it goes by a different name: instability. It's not uncommon for retail workers to be unsure of what their schedules look like just a few days or even a few hours out, which makes it difficult to plan child care and schedule doctors' appointments, much less rely on a stable paycheck.

The Tongue Tie Conundrum


The Kids is Slate's science-based parenting column, assessing the latest research around children's health, development, and well-being.

Using Virtual Patients to Train Clinical Interviewing Skills

AAAI Conferences

Virtual patients are viewed as a cost-effective alternative to standardized patients for role-play training of clinical interviewing skills. However, training studies produce mixed results. Students give high ratings to practice with virtual patients and feel more self-confident, but they show little improvement in objective skills. This confidence-competence gap matches a common cognitive illusion, in which students overestimate the effectiveness of training that is too easy. We hypothesize that cost-effective training requires virtual patients that emphasize functional and psychological fidelity over physical fidelity. We discuss 12 design decisions aimed at cost-effective training and their application in virtual patients for practicing brief intervention in alcohol abuse. Our STAR Workshop includes 3 such patients and a virtual coach. A controlled experiment evaluated STAR and compared it to an easier E-Book and no-training Control. E-Book subjects displayed the illusion, giving high ratings to their training and self-confidence, but performing no better than Control subjects on skills. STAR subjects gave high ratings to their training and self-confidence and scored better higher than E-Book or Control subjects on skills. We invite other researchers to use the underlying Imp technology to build virtual patients for their own work.

Scientists use peanut ancestors to sequence the legume's genome

Christian Science Monitor | Science

It took dozens of scientists around the world several years to sequence the genome of the humble peanut, which, contrary to its name, is a legume, not a nut. The group analyzed the DNA of two wild ancestor species of the modern peanut – Arachis duranensis and Arachis ipaensis – to help chart the popular legume's genetic history, and to help improve its yields and nutrition in the future. The two ancestors are thought to have crossed about 10,000 years ago to make the peanut that is widely cultivated today. "We did it because knowing the genome sequence like this is a really powerful thing for breeding better varieties and for understanding how peanuts might be made better," David J. Bertioli, a professor of genetics at the University of Brasília in Brazil, told The Christian Science Monitor in an interview. With the peanut's genetic composition mapped out, scientists now know what regions of its genome make the peanut plant resistant to fungal disease or parasites, information that will help farmers breed peanuts that won't require the use of toxic and expensive chemical sprays that kill diseases and bugs.