Intel Corp. INTC, 1.36% said it would acquire Movidius Ltd., a maker of semiconductors for drones and other autonomous machines, a move that would bolster Intel's artificial intelligence portfolio amid its desire to become a bigger player in the space. Summit Bridge Capital, ARCH Venture Partners and Sunny Optical Technology Group became investors in Movidius through a 40 million financing round in April 2015. Atlantic Bridge Capital, AIB Seed Capital Fund, Capital-E, DFJ Esprit and Robert Bosch Venture Capital invested earlier. Terms of the transaction weren't disclosed. The deal, subject to certain closing conditions, was announced in blog posts Monday.

Nine times out of ten, when you hear about deep learning breaking a new technological barrier, Convolutional Neural Networks are involved. Also called CNNs or ConvNets, these are the workhorse of the deep neural network field. They have learned to sort images into categories even better than humans in some cases. If there's one method out there that justifies the hype, it is CNNs. What's especially cool about them is that they are easy to understand, at least when you break them down into their basic parts.

Packt, a Birmingham-based company which aims to "help the world put software to work in new ways," concocted a survey and discovered what developers want from their profession this year and which are the skills the people working in tech need for the future. In short, developers believe that machine learning and big data analytics, virtual and augmented reality and the Internet of Things are the "next big thing" and that security is one of the highest paying industries in 2016, especially for freelancers. Learning new skills has become a must for those who want to stay relevant. The JAX London Conference is a three-day conference for cutting-edge software engineers and enterprise-level professionals. JAX brings together the world's leading innovators in the fields of JAVA, microservices, continuous delivery and DevOps.

In partnership with The Relevancy Group and CEO David Daniels, Persado today announced the findings of a new research report entitled The Science Behind Customer Engagement: How Machine-Learning Drives Action. The survey assesses the importance of understanding how machine-learning is helping marketers communicate with a growing online audience of 3.6 billion, roughly 50% of the world's population. Surveying 301 advertising and marketing executives on their experience with machine-learning, automation, and predictive platforms across marketing and advertising practices, The Relevancy Group found that incorporating cognitive or "smart" content generated through machine-learning platforms is an effective practice that resonates with a customer's emotional decision-making. In fact, the study found that early adopters of this technology who were able to leverage the right message and deliver on emotional personalization could drive a 3-5x increase in revenue. The findings indicate the market's need for better understanding and adoption of these technologies with most marketers showing willingness to adopt content created via machine learning.

Last week, Turing Robotics Industries (TRI) announced details of a new device, which it says it plans to release in 2017, featuring some truly extraordinary specs. From dual-Snapdragon 830 SoCs and 12GB of RAM, to a'graphene supercapacitor battery', hydrogen fuelcell, and quad nano-SIM, the Turing Phone Cadenza's spec sheet reads like a fanciful wishlist with little basis in reality. Now, TRI is promising another device with even more outlandish specs - but before we get into that, it's worth briefly reminding ourselves who TRI is, and what they've done so far. TRI originally unveiled the Turing Phone, a crowdfunded Android handset, back in April 2015, promising delivery by the end of the year. Those who committed up to 1,300 for the device were then told it would arrive no later than the end of Q1 2016, then April, May, and June - but as Android Authority noted, backers were still waiting to receive the device in late July.

Samsung has filed for a patent covering a mobile device that could run a second operating system via virtualization. The Samsung patent application, reported on SamMobile and MSPowerUser, covers all sorts of digital devices, according to Samsung: smartphones, tablet PCs, notebook computers, and more. "In this specification, the case where as an example, the first operating system is the android, the second operating system is the window (Windows) is shown," the patent's translation reads. But the patent also makes clear than any OS could be used, including Tizen, Linux, or MacOS. In the world conceived by the patent, the host OS would run the device, and the secondary OS would be run essentially as an app.

Amazon's Fire TV devices just became much more useful if you prefer to talk to your media hub. An update rolling out to the Fire TV and Fire TV Stick gives you dramatically improved search: you can now use voice to search over 75 apps and services, including Netflix and (soon) HBO Now. If the show you're looking for is available on multiple services, you'll see all your choices. You now have voice control of playback with Amazon's service, so you can skip to your favorite Transparent scene without using the fast forward button. Much like on Apple TV, you can get game scores and other sports updates with a voice command -- you'll have to specify your favorites, but you won't have to disrupt your show to get the scoop.

Machine learning is giving computers the ability to learn without explicit programming. This is primarily accomplished through various pattern recognition processes. For example, if you tell a computer to find the best candidates for a job by identifying patterns in data that produce the best results. In this way, a computer will find correlations and patterns that a human would overlook -- leading to increasingly higher quality candidates.Beyond that, the possibilities are infinite! Imagine that we're able to predict the crash of a certain market, and know that there will be a surplus of available candidates in that specific field, you can then focus your efforts as a recruiter to take advantage of that situation.

In the future imagined by science fiction, artificial intelligence will reign supreme and take over pretty much everything humans can do. Frankly this sci-fi vision isn't helpful when it comes to applying technology because it distracts us from thinking about what people do well and what advanced techniques such as deep learning do well. In the world of data science, great strides are being made in the area of deep learning. We've made so much progress that it is easy to think that instead of having to embrace data science as a discipline, we can somehow wait a little big longer and have a Watson-like box to perform all of these tasks for us. If you think this way, you are going to miss the boat.

Cognitive Computing in its essence is tremendously creative, it helps us to find complex correlations, and lets us see things that could not be seen with an average human eye. What once was science fiction, is now reality. And that's why I want to share a couple of practical examples, how life sciences companies have applied cognitive services and artificial intelligence to transform their businesses and ultimately provide better, innovative products, invent new business models, provide personalized, customer-centric services and optimized their operations. This first example with Dartmouth Hitchcock shows how to get closer to the vision of ever more individualized healthcare: ImagineCare is a highly coordinated, intensely personalized solution for chronic diseases. This cloud-based system enables nurses and health coaches track and respond to an individual's health status in real time.