Ric Edelman is one the top financial advisors in the US. His firm, Edelman Financial Services, has 41 offices across the country. And he thinks, all things constant, most financial advisors as we've known them won't be around much longer. At Exponential Finance, Edelman said, "I firmly believe that in the next ten years, half of all the financial advisors in this country will be gone." Edelman spoke on a panel with fellow advisor, Bill Bachrach, chairman and CEO of Bachrach & Associates. Technology, they said, doesn't spell the end of financial advisors, but it does mean they'll need to adapt significantly if they're to survive.

SAN FRANCISCO (Reuters) - Apple Inc announced a series of long-awaited enhancements to its App Store on Wednesday, but the new features may not ease concerns of developers and analysts who say that the App Store model - and the very idea of the single-purpose app - has seen its best days. The revamped App Store will let developers advertise their wares in search results and give developers a bigger cut of revenues on subscription apps, while Apple said it has already dramatically sped up its app-approval process. The goal is to sustain the virtuous cycle at the heart of the hugely lucrative iPhone business. Software developers make apps for the iPhone because its customers are willing to pay, and those customers, in turn, pay a premium for the device because it has the best apps. The store is now more strategically important than ever for Apple as sales of the iPhone begin to level off and the company looks to software and services to fill the gap.

You can almost hear the whooshing sound as the technology industry is sprinting to the marketplace with new solutions to help the enterprise garner useful and intelligent insights from their data. Analytics, Machine Learning (ML) and Artificial Intelligence (AI) delivered in a simplistic form is what companies are demanding. To meet this mandate, Hewlett Packard Enterprise Co. (HPE) has developed Haven OnDemand, which offers the latest technology in a simplified platform for developers. Jeff Veis, VP of Big Data Platform Solutions, HP Software, at HPE, spoke to John Furrier and Dave Vellante, cohosts of theCUBE, from the SiliconANGLE Media team, during HPE Discover 2016 Las Vegas to discuss Big Data and the needs of the enterprise. Furrier began the interview by asking Veis about the driving force behind the need for machine learning.

MUNICH (Reuters) – BMW is overhauling its research and development activities to focus on self-driving cars, board member Klaus Froehlich told Reuters, a move which includes a revamp of its "i" sub-brand of carbon-fibre based electric vehicles. The company is updating its zero-emission vehicles after a lackluster response to its only fully battery-powered car, the i3, which recorded only 25,000 sales last year. By contrast, Tesla already has more than 370,000 orders for its Model 3. To help improve sales, BMW is increasing the battery range of its i3 city vehicle by 50 percent this year. Its next full-fledged new electric car model is not due until 2021, but the Bavarian auto maker is also planning to build a new version of its i3 electric car to be released by 2018, a source familiar with the matter said. "It is a sportier brother for the i3," said the source, who declined to be named.

We welcome call for Papers - please email me at ajit.jaokar at futuretext.com if you are interested in the below Artificial Intelligence (AI) and Deep Learning technologies are impacting many aspects of our lives. In future, this impact is expected to accelerate to many more areas including Smart cities. To address them through AI technologies, we need to think beyond the current silo-based approach. We need to look to the interconnections between city areas. Most importantly, we wish to engage with new ideas in an'agile' way.

Behavioral psychologists have long used mazes to study memory and learning; their subjects, mostly rats and mice. Now researchers are beginning to use the same approach to test an entirely new kind of subject--the latest breed of artificial intelligence machine. They have started by putting these machines through their paces in mazes created in the online world of Minecraft. Mazes have a long history in behavioral psychology. At the beginning of the 20th century, scientists became interested in the ability of rats and mice to learn and remember.

Asus has had a few big hits that the rest of the industry followed, like the Eee PC in 2008, which sparked the craze for netbooks. Other products have fared less well, like the PadFone, a hybrid device that includes a smartphone that docks into a tablet. But year after year, in a hardware industry that shies away from risk, Asus usually has a surprise or two up its sleeve. Last week it was a home help robot called Zenbo, whose cute antics and affordable price-tag stole the show at Computex. We sat down with Asus Chairman Jonney Shih in Taipei last week and asked him how he approaches product design, and also got his take on AI.

The Financial Times is reporting that Adidas is going to bring back production to its native Germany for the first time in 30 years. It's spent the last six months testing a robotic factory with automated production lines creating soles and uppers separately before stitching them together. Spurred on by the results, the company is working on a large facility near Ansbach which will begin making sneakers for sale at some point next year. Another facility will be built in the US, although both are expected to produce just a tiny fraction of the 301 million pairs the firm made last year. The paper explains that a robot production line takes about five hours to create each pair of sneakers from scratch. By comparison, it apparently takes "several weeks" to do the same job in an Asian factory with human workers.

The Egypt Air disaster may have dropped out of the news briefly, but the investigation continues apace to find out why flight MS804 crashed. French investigators think they have heard locator-beacon signals from at least one of the "black box" flight recorders, and now salvage experts are heading to the site to take a closer look. Hearing the beacons is one thing, but they won't know for sure what they have found until they send down a robotic submarine armed with bright lights and cameras. "Black boxes" are, in fact, bright orange and have reflective strips, so they show up pretty well when you shine lights on them. The robotic submarine is on a special salvage ship, called the John Lethbridge.

This paper proposes a set of new error criteria and learning approaches, Adaptive Normalized Risk-Averting Training (ANRAT), to attack the non-convex optimization problem in training deep neural networks (DNNs). Theoretically, we demonstrate its effectiveness on global and local convexity lower-bounded by the standard $L_p$-norm error. By analyzing the gradient on the convexity index $\lambda$, we explain the reason why to learn $\lambda$ adaptively using gradient descent works. In practice, we show how this method improves training of deep neural networks to solve visual recognition tasks on the MNIST and CIFAR-10 datasets. Without using pretraining or other tricks, we obtain results comparable or superior to those reported in recent literature on the same tasks using standard ConvNets + MSE/cross entropy. Performance on deep/shallow multilayer perceptrons and Denoised Auto-encoders is also explored. ANRAT can be combined with other quasi-Newton training methods, innovative network variants, regularization techniques and other specific tricks in DNNs. Other than unsupervised pretraining, it provides a new perspective to address the non-convex optimization problem in DNNs.