From space settlements to airplanes and homes on Earth --scientists have developed a new category of robots that could change the way we build high-performance structures. The V-shaped machines, called Bipedal Isotropic Lattice Locomoting Explorers (or BILL-E), have two miniature arms that erect structures piece by piece. These appendages allow robots to move around like inchworms, opening and closing their bodies in order to travel from one spot to the next. The BILL-E robots were developed by a team at Massachusetts Institute of Technology, which foresee these tiny robots designing everything from space settlements on Mars to airplanes and homes on Earth. Professor Neil Gershenfeld in MIT's Center for Bits and Atoms said'What's at the heart of this is a new kind of robotics, that we call relative robots.'

With more than 40 years of experience in the healthcare IT space, Franciscan Missionaries of Our Lady Health System CIO Avery Cloud has seen the value technology brings to healthcare. Some of Mr. Cloud's most memorable moments as CIO at the Baton Rouge, La.-based health system revolve around technology's effect on physicians and patients, ranging from instances when it helped prevent a clinical error to reducing patient anxiety. Prior to joining Franciscan Missionaries of Our Lady Health System, Mr. Cloud served as vice president of innovation and technology at CHI St. Luke's Health in Houston as well as CIO at Wilmington, N.C.-based New Hanover Regional Medical Center and Integris Health in Oklahoma City. Here, Mr. Cloud shares his strategy to build and encourage innovation among staff members. Editor's note: Responses have been lightly edited for clarity and length.

Demand for artificial intelligence (AI) jobs grew 29% in the last year, though has begun to slow down from years prior, according to new data from job search site Indeed. With more open jobs than qualified candidates to fill them, many AI-related roles command large salaries, Indeed found. Machine learning engineers are the most in-demand AI job based on the number of job postings, and also are offered the highest paycheck on average. They are also the professionals with the largest boost in salary year over year, the data showed. SEE: Artificial intelligence: A business leader's guide (free PDF) (TechRepublic) Machine learning engineers were the third-highest paying job in Indeed's previous two rankings.

The Personalization team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music and podcasts better than anyone else so that we can make great recommendations to every individual person and keep the world listening. Everyday, hundreds of millions of people all over the world use the products we build which include destinations like Home and Search as well as original playlists such as Discover Weekly and Daily Mix. Were a team of technologists, product insight experts, designers, and product managers in Boston, New York, Stockholm, and London.

This months meetup is all about using AWS AI services and custom Machine Learning models to power your web applications! Mike Apted, Startup Solutions Architect with Amazon Web Services, is back presenting for this months meetup! RSVP ASAP and we'll see you there! Agenda: 6:00pm - Arrival, mingling, pizza eating 6:20pm - Welcome & Introductions 6:30pm - Presentation Begins 7:20pm - Q&A and Open Group Discussions 8:00pm - Event concludes Presentation Title: Using AWS AI services and custom ML models to power your web applications Presentation Summary: In this session, we will look at how you can build a brand new web application to do speech to text generation, translate text, gain insights from text, convert text to speech, and to detect objects via the Amazon Transcribe, Amazon Translate, Amazon Comprehend, Amazon Polly and Amazon Rekognition respectively. We will then use Amazon SageMaker to label, train and deploy our own model against which we will make predictions from the web application.

I am not exactly a religious type of person, but I think there's a point where our humanity should be put at stake. It's been a year or so since I wrote my last post about Artificial Intelligence and its branches such as Machine Learning and Deep Learning. As a technology enthusiast I am fascinated and intrigued by the idea of a virtual assistant like Cortana from Halo or Mass Effect's VI (Virtual Intelligence). But as things are getting more and more advanced, the achievements look like we're enslaving ourselves to technological God we are creating ourselves. I am not exactly a religious type of person and I am not going to talk about whether it is good or wrong to have faith in Someone above us (which - for the record - I do), but I think there's a point where our humanity should be put at stake.

The best job in the United States is machine-learning engineer, according to job posting site Indeed.com. With an average salary close to $150,000 and a whopping 344% growth in job postings, these engineers are in high demand throughout the country. Including stock compensation, "A.I. specialists with little or no industry experience can make between $300,000 and $500,000 a year," according to The New York Times. Beyond that, the federal government needs trained data scientists to help sort through one of the largest repositories of information in the world. Every agency relies on these specialists to compile and analyze data that affects everything from major national infrastructure plans to disaster relief in the face of hurricanes and wildfires.

From time to time, we invite guest contributors to provide their personal perspectives about trending HCM topics. The views, opinions, and comments expressed below are solely those of the author and do not represent Ultimate Software. This post was commissioned by Ultimate Software and the author has or will receive compensation for their work. The fourth industrial revolution is upon us, and "disruption" is the theme. The World Economic Forum reports that this revolution, "includes developments in previously disjointed fields such as artificial intelligence and machine learning, robotics, nanotechnology, 3-D printing, and genetics and biotechnology."

Zest AI, the leader in artificial intelligence software for credit, announced today that VyStar Credit Union, one of the nation's largest and most innovative credit unions, will be the first credit union to use Zest Automated Machine Learning software (ZAML) to generate faster, more accurate and better-priced loan decisions for its 675,000 members. VyStar's adoption of ZAML signals the growing use of AI-powered underwriting across the financial industry as institutions of all sizes embrace technology to compete more effectively in credit markets. ZAML-built models use as much as 100 times more data and advanced machine learning math to determine borrower risk with greater accuracy, allowing VyStar to approve creditworthy members quickly and at attractive terms without increasing its overall portfolio risk. "Credit unions are always looking for new ways to better serve their members. With an agile technology partner like Zest AI, we're advancing to the front ranks of data-driven lending," said Jenny Vipperman, Chief Lending Officer at VyStar, which earlier this year created a $10 million fund for investing in fintech companies looking to partner with credit unions to deliver innovative solutions.

Explainable artificial intelligence (XAI) is the attempt to make the finding of results of non-linearly programmed systems transparent to avoid so-called black-box processes. The main task of XAI is to make non-linear programmed systems transparent. It offers practical methods to explain AI models, which, for example, correspond to the regulation of the data protection laws of the European Union (DSVGO). The following five methods are listed, which have to make AI models more transparent and understandable. Layer-wise Relevance Propagation (LRP) is a technique that brings such explainability and scales to potentially highly complex deep neural networks.