The complex passenger flows, demanding identification challenges and pressure-filled security conditions that are inherent in border control make the arena appear an interesting prospect for artificial intelligence-based solutions that can revolutionise critical processes. Machine-learning technologies being developed could identify risk patterns at speeds way beyond humans' capacity, and when tied with the powerful security offered by biometrics, AI's potential to disrupt the world of borders expands even further. What then is the future for the border guard? Will their decades of document security expertise and nuanced instincts be made rendered obsolete by a'border bot'? Planet Biometrics caught up with Cyrille Bataller, Artificial Intelligence lead at Accenture, to learn about his team's AI initiatives for borders and about his views on the importance of a "people-first" approach.

SINGAPORE – More than half of workers in five Southeast Asian countries are at high risk of losing their jobs to automation in the next two decades, an International Labour Organization study found, with those in the garment industry particularly vulnerable. About 137 million workers or 56 percent of the salaried workforce from Cambodia, Indonesia, the Philippines, Thailand and Vietnam, fall under the high-risk category, the study showed. "Countries that compete on low-wage labor need to reposition themselves. Price advantage is no longer enough," said Deborah France-Massin, director for the ILO's bureau for employers' activities. The report said workers have to be trained to work effectively alongside digitalized machines.

Sephora is doubling down on augmented reality and artificial intelligence sales tactics by enabling shoppers to virtually try on false lashes, watch tutorials using their own image and engage via a chatbot to trial and purchase lip color. With Sephora's customers virtually trying on more than 70 million lip shades using the Virtual Artist in-app functionality that was introduced earlier this year, false lashes are being added to expand the program. Users of the Sephora application can also now experience live step-by-step makeup application tutorials using their own uploaded images and augmented reality technology. "This is a significant expansion because we are adding elements that we know will help empower and educate our clients' purchase making decisions, and they're done in a way that is fun and engaging," said Bridget Dolan, vice president of Sephora Innovation Lab. "The new Live Tutorials especially are a game changer for our users," she said.

As a futurist, an entrepreneur, and a lawyer, I always get asked, 'What do you think is the next big thing in the legal world?' I always begin my response with a catch-all reply: 'The next big thing is anything that helps you attract and keep a client. No client equals no business. A bit of a cliché, I know. But you must constantly rethink how to do things better and be more efficient by using the latest research, thinking, and innovations.'

NEW YORK, July 6, 2016 /PRNewswire-USNewswire/ -- Thanks to his business acumen, poster boy looks, and relentless activism for freedom of the internet, Reddit's co-founder Alexis Ohanian has become one of the most high-profile residents of Brooklyn. A startup based in Armenia and San Francisco named 1AI Solutions has recently launched a working AI-based version of Alexis Ohanian named Avedis Ohanian. Additionally they used 3-D printing to replicate the body of Alexis Ohanian, infusing it with their proprietary Artificial Intelligence engine. "There's a lack of qualified IT professionals here in Armenia", said Dr. J.P. Hagopian, the CEO of 1AI Solutions. "We need to hire people, but we simply can't find enough good candidates. At some point our HR manager said that we should clone one of the high-performing Silicon Valley guys. She was kidding, but the idea stuck."

When life calls on us to project confidence, whether you're going in for a major job interview, pitching investors or networking at a big conference, the old adage is just to fake it until you make it. But a new study from New York's Cold Spring Harbor Laboratory released this week looks at whether the human feeling of confidence can be broken down into objective mathematical calculation. Choices that are big, such as launching a new venture, or small, such as deciding when to merge onto the highway, all require a careful weighing of the risks involved. Of course, some of these judgement calls have to occur faster than others. The study's lead author, associate professor of neuroscience Adam Kepecs, explained the driving question behind the research.

Financial services incumbents along with early-stage startups and large tech companies are all competing in fintech. CB Insights CEO Anand Sanwal gave a 110-slide presentation at our fintech conference in New York. The full deck covered broad VC funding trends for fintech and the developments in large categories such as wealth management, blockchain, remittance tech, and insurance tech. On robo-advisors, Sanwal noted that market volatility has not necessarily been a boon to the category. "It's not all roses," he said. "There are headwinds … When market volatility picks up, people want to talk to an advisor." At the end Sanwal highlighted 9 trends we're watching that are generating excitement. The slides for those trends are included below. If you have questions, please use the hashtag. Use it on Twitter or on the mobile app, and I'll try to get to them. Please ask me easy questions only. If you like something about the presentation, please tweet it out. If you do not like something about the presentation, please just keep it to yourself. Let me jump in and we'll go through this pretty quickly, I think. So this is what we do, take lots of data and try to predict technology trends. You've seen this join the conversation piece. We have lots of great customers, many of whom are in the room.

There is another type of neural network that is dominating difficult machine learning problems that involve sequences of inputs called recurrent neural networks. Recurrent neural networks have connections that have loops, adding feedback and memory to the networks over time. This memory allows this type of network to learn and generalize across sequences of inputs rather than individual patterns. A powerful type of Recurrent Neural Network called the Long Short-Term Memory Network has been shown to be particularly effective when stacked into a deep configuration, achieving state-of-the-art results on a diverse array of problems from language translation to automatic captioning of images and videos. In this post you will get a crash course in recurrent neural networks for deep learning, acquiring just enough understanding to start using LSTM networks in Python with Keras.

A major study into the use of mobile phone data as a tool for predicting clinical decisions, came to a scathing conclusion, characterising the practice as "voodoo machine learning". The widespread use of smartphones to collect healthcare data has been thrown into doubt by a couple of recent studies. In some fields, such as the management of chronic diseases and mental health monitoring smartphones have enabled a greater level of patient self-control, and personalised clinical intervention. Success in one area, however, does not imply success in all – especially as smartphone health apps are often rolled out before evidence of their effectiveness has been rigorously analysed. A major study into the use of mobile phone data as a tool for predicting clinical decisions, released in June, came to a scathing conclusion, characterising the practice as "voodoo machine learning".

Conscious Artificial Intelligence Using The Inter Mind Model. 10 Human Consciousness Transfer Using The Inter Mind Model. 10 Reality Is A Simulation Using The Inter Mind Model. 10 Scientists can describe the Neural Activity that occurs in the Brain when we See. But they seem to be completely puzzled by the Conscious Visual experience that we have that is correlated with the Neural Activity. Incredibly, some even come to the conclusion that the Conscious experience is not even necessary! They can not find the Conscious experience in the Neurons so the experience must not have any function in the Visual process. They believe that the Neural Activity is sufficient for us to move around in the world without bumping into things. This is insane denial of the obvious purpose for Visual Consciousness. The Conscious Visual experience is the thing that allows us to move around in the world. Neural Activity is not enough. We would be blind without the Conscious Visual experience. The Conscious Visual experience contains vast amounts of information about the external world all packed up into a single thing. Scientists should not disregard the Conscious Visual experience. It's just another type of Data that can be analyzed. We should call it Conscious Data. We use and analyze this Conscious Visual Data all the time without realizing it. For example when I reach for my coffee mug I have a Conscious Visual experience where I See my hand moving toward the coffee mug. If My hand is off track I sense this in the Conscious Visual experience and adjust the movement of my hand. If I did not have the Conscious Visual experience I would not be able to pick up my coffee mug, or at least it would be much more difficult with just Neural Activity. So the Conscious Visual experience is just Data that helps us interact with the world. This Conscious Visual Data is absolutely necessary for us to function. Similar arguments can be made for the Conscious Auditory experience, the Conscious Smell experience, the Conscious Taste experience, and the Conscious Touch experience. All these experiences are just a type of Data that we can analyze. The Conscious Mind can be viewed as a kind of Conscious Processor that takes the Conscious Light, Sound, Smell, Taste, and Touch Experiences as Input Data to help it survive in the world. This is a very strange kind of Processing (although actually very familiar) and it is very different from the Processing that Computers can do. The Processing that the Conscious Mind does is also very different than the Neural Processing that the Brain does. Let's talk about the Color Red. In the Physical World we know that Red Light is an oscillating Electromagnetic phenomenon with a particular wavelength associated with it.