Microsoft's servers are now powered by optimized custom chips that joined together to translate the entirety of Wikipedia in literally less than a blink of an eye. In a demonstration at Microsoft's Ignite conference on Orlando, Microsoft tapped what it called its "global hyperscale" cloud to translate 3 billion words across 5 million articles in less than a tenth of a second. Microsoft helped custom-design the programmable logic components, or Field Programmable Gate Arrays (FPGAs), that it has added to each of its computing nodes. The company recognizes that smarter, more computationally intensive technologies will require more computing power on the back end, whether those technologies revolve around Microsoft's own Cortana digital assistant--which can now intelligently reschedule your workout to meet your fitness goals--or something that can recognize a distracted drivers, as the automobile manufacturer Volvo is researching. Microsoft's Cortana now includes health-specific information.

Microsoft CEO Satya Nadella took the stage at his company's massive Ignite conference to lay out his vision for how deep learning and artificial intelligence will transform the company. "AI is at the intersection of our ambitions," Nadella said, noting how it will allow us "to reason over large amounts of data and convert that into intelligence." He likened AI to the arrival of books and the web and joked that we will soon create so much data that "we are getting to a point where we don't even know what to name things." "In this information explosion, what remains scarce is human intention and time -- our ability to make sense out of all of this information," he said. At Microsoft, this transformation is currently happening in a few different areas, with agents like Cortana, applications like SwiftKey and Office 365, and developer tools and platforms like the Cortana Intelligence Suite and the Azure cloud computing platform.

If getting up to dim or turn off the lights is a chore too far, you will soon be able to do it from the comfort of your seat. Flat-packed furniture giant Ikea has announced it is to release a range of smart light bulbs that can be controlled wirelessly using a remote control. The move promises to take smart lighting, which until now has largely confined to expensive high-end products, into the mainstream. A number of manufacturers already sell lighting systems that link to a central hub and the internet and can be controlled through a smartphone app. Apple is reportedly developing its own device similar to the Amazon Echo, which is said to have left the research and development lab and is now being tested as a prototype.

With the rise of online dating, it has never been easier for the younger generation to find love. But it seems the new technology is actually having the opposite effect. Those aged between 16 and 21 have become so absorbed in the internet they are having less sex than earlier generations, a major study has found. And one in three are abstaining from sex altogether. The findings reveal a different side to the rising popularity of dating apps and changing attitudes to sex.

Virtual reality may be generating most of the buzz today, but another major tech shift looms much closer on the horizon: machine learning. The technology has already made inroads with the public through platforms such as Amazon's Echo and Google's Deep Dream Generator. But its influence will extend beyond voice-controlled speakers and AI-enhanced art, effecting a sea of change for businesses of all sizes. It will be a few years before we witness machine learning's breakthrough moment, but it's coming -- and it will change everything. Humans could be incredibly effective given endless timelines, budget, and energy.

This fall, customers cruising the aisles of Lowe's home improvement stores in the San Francisco Bay Area may see a new type of employee taking inventory and assisting shoppers. You won't find a nametag on this worker, but you won't confuse it with other employees, either. The new kid in town is the LoweBot, an autonomous retail service robot that scans and audits store inventory on the floor. It uses voice recognition to identify products for customers and lead them to the right shelf -- in multiple languages. The retailer is deploying LoweBots at 11 of its Bay Area stores over a seven-month period using NAVii robots made by Fellow Robots, following a successful two-year pilot program of a first-generation robot called OSHbot that was tested at one of Lowe's Orchard Supply Hardware stores.

With the scale of data growing every day, reducing the dimensionality (a.k.a. sketching) of high-dimensional data has emerged as a task of paramount importance. Relevant issues to address in this context include the sheer volume of data that may consist of categorical samples, the typically streaming format of acquisition, and the possibly missing entries. To cope with these challenges, the present paper develops a novel categorical subspace learning approach to unravel the latent structure for three prominent categorical (bilinear) models, namely, Probit, Tobit, and Logit. The deterministic Probit and Tobit models treat data as quantized values of an analog-valued process lying in a low-dimensional subspace, while the probabilistic Logit model relies on low dimensionality of the data log-likelihood ratios. Leveraging the low intrinsic dimensionality of the sought models, a rank regularized maximum-likelihood estimator is devised, which is then solved recursively via alternating majorization-minimization to sketch high-dimensional categorical data `on the fly.' The resultant procedure alternates between sketching the new incomplete datum and refining the latent subspace, leading to lightweight first-order algorithms with highly parallelizable tasks per iteration. As an extra degree of freedom, the quantization thresholds are also learned jointly along with the subspace to enhance the predictive power of the sought models. Performance of the subspace iterates is analyzed for both infinite and finite data streams, where for the former asymptotic convergence to the stationary point set of the batch estimator is established, while for the latter sublinear regret bounds are derived for the empirical cost. Simulated tests with both synthetic and real-world datasets corroborate the merits of the novel schemes for real-time movie recommendation and chess-game classification.

Reuters – Google-parent Alphabet Inc launched Allo, a messaging app that incorporates Google's search feature and a chatbot that uses machine learning to "improve" itself over time. The new messaging service, which was unveiled in May, will compete with Facebook's WhatsApp and Messenger. The much-anticipated launch comes a month after Google rolled out Duo, its video calling app. Allo features a chatbot powered by Google Assistant, a virtual personal assistant like Apple's Siri. Users can call up the assistant in a chat by typing "@google" followed by a search query and the results will be displayed in the chat itself.

Amazon's Echo voice-activated speaker has more "skills" than you may be using. Amazon's Echo has become a sleeper hit thanks to tasks its digital assistant Alexa can carry out. There's probably more you could do with it. In case you haven't played around with an Echo or similar Alexa-driven voice speakers, the 179 cylindrical-shaped, cloud-connected speaker sits in a room and you use your voice to ask a question or give a command. Using the wake word "Alexa," a sensitive microphone picks up the request and dishes up the info you want in a human-like voice.

It turns out I'm not the only one who thinks AI alarmism is a bit out of hand. The ITIF Luddite Award nominations include "alarmists, even including respected luminaries such as Elon Musk and Stephen Hawking, touting an artificial intelligence apocalypse." Opinions are stewing on both sides of the issue, with Gizmodo writer George Dvorsky saying it's not right to be branded a Luddite for warning against potential perils. Like most controversies, the differences are smaller than the similarities, since both groups contend that they are promoting a better future for humanity. The real question is from where does your faith in humanity stem?