There has been an exponential increase in R&D related to virtual reality, photorealistic computer animations and augmented reality. Researchers from around the globe are working in these domains and have been creating machines which have the abilities of a human -- or humanoid robots. This is an emerging research domain which is now playing a crucial role in robotics research. However, according to the uncanny valley theory, the humanoid objects which imperfectly resemble actual human beings provoke uncanny or strangely familiar feelings of revulsion in observers. The IEEE spectrum ranks robots into three categories, -- top-rated, creepiest and most wanted.

You just released a machine learning project. It can be a new product at your start-up, a proof of concept for a client demo, or a personal project that enriches your portfolio. You are not looking for a production-grade site; you want to get the job done. So that a few users can test your product. This post is a follow-up and an update over this previous post, where I introduced raplyrics.eu,

The advances in AI has enabled computers to assist doctors in detecting diseases and help keep a check on patient health remotely. Now, researchers from the University of Colorado Boulder (CU Boulder) are working to leverage ML to psychiatry using a speech-based mobile app. Peter Foltz, a research professor at the Institute of Cognitive Science says – "We are not in any way trying to replace clinicians. But we do believe we can create tools that will allow them to better monitor their patients." Notably, he is also the co-author of a new paper in Schizophrenia Bulletin that illustrates the promise and potential pitfalls of artificial intelligence in psychiatry.

In partnership with a commercial bank in the Dominican Republic, the researchers conducted two separate analyses of 20,000 low-income individuals, half of them women. In the first analysis, the researchers used the individuals' loan repayment histories and gender to train a single machine-learning model for predicting creditworthiness. In the second analysis, the researchers trained a model with only the loan repayment data from the women. They found that 93% of women got more credit in this model than in the one where men and women were mixed together.

Considering the high salary and growing interest in this role, specialization as an ML engineer is a great career move. The tech world is certainly where the money is for employees because it is where businesses currently struggle. The biggest companies have already shown us the power of having specialists on hand working to do the impossible. Google's investment in quantum computing has just made a huge leap, for example, and the future of tech and specialization looks bright. Big firms, rather than tech giants, are not scrambling to catch up, and by investing your time and effort to return to higher education and specialize with a Masters of Science or even a Ph.D. will pay off and provide you with a secure, lucrative, and rewarding position in your chosen field. This article does not necessarily reflect the opinions of the editors or management of EconoTimes.

Daniel Connell oversees the Market Structure and Technology practice at Greenwich Associates. Prior to Greenwich Associates, he was the CEO at Correlix, Inc., a leading provider of real-time performance optimization technology. Formerly, Dan was the Executive Managing Director at Standard & Poor's, and CEO of ComStock, Inc. He also served as the COO of Xinhua Finance Ltd., China's premier financial information, and Media Company. He has also been an executive-in-residence in the private equity industry and as a Board Member and strategy consultant to technology-focused content companies.

The mathematician Clive Humby famously said, "data is the new oil." Many in financial services agree with that assertion as they look at the mountains of data financial institutions have amassed. However, they struggle with finding ways to tap this new oil and turn it into profits. There isn't a simple process to extract data from disparate systems, refine it and develop a product for sale. Since Amazon, Netflix, Google, Apple, Facebook, and other big tech companies have successfully used data to personalize their products and drive innovation, financial institutions have focused on personalization as the main use case for data.

Andra Keay is the Managing Director of Silicon Valley Robotics, an industry group supporting innovation and commercialization of robotics technologies. Andra is also founder of Robot Launch, global robotics startup competition, cofounder of Robot Garden hackerspace, mentor at hardware accelerators, startup advisor and investor, with a strong interest in commercializing socially positive robotics and AI, shared on "The Robot State" site.

Retailers are increasingly using artificial intelligence to manage their stores and monitor shopping behavior and offer better experiences, as we discover in the second installment of Mergers & Acquistions' 7-part series, Retail Tech M&A. There are 7 technologies retailers are investing in through M&A: The Internet of Things enables enhanced personalization, such as custom drive-thru menus. Artificial intelligence applications predict customers' needs. Modern data centers and warehouses fill orders quickly. Robots assist with sorting and packing consumer goods.

In Cadwell Turnbull's sci-fi novel The Lesson, powerful aliens occupy the US Virgin Islands. Turnbull, who grew up on Saint Thomas, says he meets many people who have no idea that the Virgin Islands even exist. "When I first went to Pittsburgh for my undergrad, I would talk to people about the Virgin Islands, and a lot of people just had no idea that we were territories of the US," Turnbull says in Episode 387 of the Geek's Guide to the Galaxy podcast. "Because it's so small--the population is a couple hundred thousand people--it's easily overlooked." Turnbull first got interested in fantasy and science fiction from watching shows like Buffy the Vampire Slayer.