HOUSTON -- (April 17) -- Rice University computer scientists are mapping a new solution for interior navigational location detection by linking it to existing sensors in mobile devices. Their results were presented in a paper at last month's 2017 Design, Automation and Test in Europe (DATE) Conference in Lausanne, Switzerland. Rice University researchers (from left) Chen Luo, Anshumali Shrivastava and Juan Jose Gonzalez Espana published a paper on location detection for navigation with Krishna Palem (not pictured). Six months ago, the same researchers published a paper on their first technology for a new indoor mobile positioning system called CaPSuLe. The navigational location detection system began as a solution for mobile device users inside large indoor spaces like office complexes or shopping malls where GPS navigation falters under poor signals that quickly deplete battery life.

Investors flocked to artificial intelligence startups during the first three months of 2017, with quarterly venture funding again topping $500 million, according to a venture capital tracking report. PricewaterhouseCoopers and CB Insights reported more than 1,100 deals during the first quarter, with venture investments totaling $13.9 billion. Those totals represent a "slight recovery" from the fourth quarter of last year, with total investment dollars rising 15 percent on a quarterly basis. The market trackers said the first quarter results show that "investment continues at a moderated pace" after venture funding in areas like big data began to slow last year. CB Insights' CEO Anand Sanwal noted that the previous year "was irrationally exuberant and the 2016 pullback was a reaction to that. However, 2016 was more of a soft landing than a wholesale popping of the venture bubble [that] pundits have been predicting since 2009."

Businesses in general recognize the critical need to believe in, and invest in, disruptive, innovative technologies. Yet many are plagued by inertia and indecision. Many banks certainly suffer from this pair of troubles. However, it also seems that the banking industry, as a whole, is breaking out of tech ennui in a very particular way--by adopting artificial intelligence applications. On the downer side, a survey sponsored by Dell EMC and conducted by Enterprise Strategy Group collected responses from 1,000 executives at a variety of large global companies.

Notably, this includes the mean and standard deviations of the RMSE scores from each population of results. The mean gives an idea of the average expected performance of a configuration, whereas the standard deviation gives an idea of the variance. The min and max RMSE scores also give an idea of the range of possible best and worst case examples that might be expected. Looking at just the mean RMSE scores, the results suggest that an epoch configured to 1000 may be better. The results also suggest further investigations may be warranted of epoch values between 1000 and 2000.

A collaborative course incorporating labs in TensorFlow and peer brainstorming along with lectures.

I'm often asked what I like best about my job. One of my top answers is public speaking, learning and networking at security and technology events around the world. Besides giving press interviews or speeches on cyberthreats, I really enjoy moderating panels and leading executive roundtables with public- and private-sector leaders at security and technology events. I often get asked to be a moderator for a few sessions at SecureWorld Expo events, InfraGard Conferences and regional technology forums, such as the upcoming MidWest Technology Leaders event. During these panel sessions, the participants typically talk about a range of (hopefully intriguing) topics that include top cybercrime trends, cyberthreat intelligence, attracting and retaining cybertalent, big industry security breaches, internal security incidents or the always interesting (but overused question) "what's keeping you up at night?" Inevitably, security and technology topics include well known themes that I have written about such as ransomware, IoT botnets, cloud computing, smart cities, smartphone security, government CISO plans, securing the smart grid, end-user training, etc. Hopefully, we get beyond the problems and spend a few minutes on solutions.

Here at Robohub, we're celebrating by sharing our list of 20 robot related books (in no particular order) aimed at engaging kids and/or teens with everything robotics. Ranging from funny fictional narratives to DIY drone building and coding, these books are sure to stoke the imaginations of budding innovators and creators. If you can think of any other books that deserve inclusion, we'd love to hear about them! Robot Building for Teens will teach you how to get started in this fascinating hobby. The projects in this book include the "Digital Brain Robot," the "Bug Bot," and even a robot on wheels!

There are many choices we make over the course of our lives. Some are fairly insignificant, like the clothes we put on in the morning; others, such as the vocations we settle on, have life-changing consequences. But there's one critical decision we don't get to make: the choice of being born into a human body--and all the arbitrary ailments and inevitable biological breakdowns that follow. This is what sets health care apart from other industries. The business of medicine is quite literally one of life and death. And throughout much of the world, it remains a messy, inefficient, expensive sector in need of radical reform. Just consider some of the heart-wrenching numbers.

Over 1.5 million people are diagnosed with cancer each year in America alone. Indeed, research currently relies on data from just 3% of patients. MIT's Regina Barzilay is hoping to rectify that. Via the MIT Stata Center, she leads a Machine Learning-based project that aims to derive insight from patient data. She's working with a consortium of partners, including Massachusetts General Hospital (MGH) to bring data science to clinical research.

We have put together a list of highly rated and most enrolled online courses on Artificial intelligence, machine learning, deep learning. The list will keep on increasing as and when we find more resources. Consider bookmarking this page and come back often to see newly added courses. The course is created by Lazy Programmer Inc. and has currently 2513 students enrolled with a feedback score of 4.6 out of 5. It is listed as the best selling Udemy course on Artificial Intelligence.