Qualcomm outline AI research roadmap


Qualcomm's initial AI efforts, before the smart device boom was in full swing, initially focused on motion control and computer vision applications, fields inspired by biological counterparts. Qualcomm's efforts will focus on the end devices, including smart devices, robotics, and automobiles. While AI processing within the cloud plays a necessary role, improving capabilities on end devices provides a number of benefits, including faster response time, accessibility when internet connectivity isn't available, improved privacy, and less network use. A focus on network efficiency means Qualcomm will use AI to reduce the bandwidth companies use, and it comes at a time when the Internet of Things and ever-increasing cloud capabilities will demand more and more bandwidth.

Qualcomm takes over Scyfer


Scyfer was established about four years ago at Amsterdam Science Park as a spinoff of the University of Amsterdam. The company works with the latest and most advanced technologies in the field of deep learning. Founder and CEO of Scyfer is Max Welling, professor of Machine Learning at the Faculty of Natural Sciences, Mathematics and Informatics at the University of Amsterdam. He is also employed at the University of California Irvine, the Canadian Institute for Advanced Research (CIFAR).

Google Home can now make calls and it won't cost you a dime


Google has just pushed an update to its Home smart speaker that lets you make calls to any phone number in the US and Canada for free. As with its other features, you can place a call with your voice: just say, "Hey Google, Call Abhimanyu," or whoever else you've been dying to talk to, and it'll do your bidding instantly over Wi-Fi. It's worth noting that you can't call 911 with Home; I can't yet be sure if that's a good thing. To get started with voice calls on Home, say "Hey Google, call *contact name*" and you'll be on your way.

Supporting humans and networks: AI and machine learning


They can correctly mitigate the effects of latency without your organisation having to unnecessarily spend money on ever increasingly large bandwidths, WAN Optimisation, SD-WAN and WAN optimisation solutions. Boulton also explains: "SD-WANs allow companies to set up and manage networking functionality, including VPNs, WAN optimisation, VoIP and firewalls, using software to program traffic routing typically conducted by routers and switches. What's certain is that data acceleration makes big data and predictive analytics increasingly viable. On the other hand, data acceleration solutions can create performance increases.

Google Home voice calling starts rolling out today


Google Home is getting a big upgrade today: The smart speaker can now place voice calls, no cellphone needed. The good news is that Google will let you link your personal phone number to Google Home by the end of the year, so at least this will be a temporary problem. All domestic calls are free, but you won't be able to make international calls or dial up "premium rate" numbers unless you have a Project Fi or Google Voice account. If you want to give Google Home calling a shot, just ask your speaker today -- but there's no guarantee it'll work yet.

Ditch That Landline and Use Google Home Instead


You can now call any business or person in your contacts, as long as they live in the US or Canada, just by asking Google to do so. You should also sign up for either a Google Voice or Project Fi account. For now, if you make calls out from your Google Home, others will see it as "No Caller ID" or "Unknown." Even with the new calling features, Google Home won't have you throwing out your smartphone anytime soon.

AI, Machine Learning Are Just Getting Started


Tim Bajarin is recognized as one of the leading industry consultants, analysts, and futurists covering the field of personal computers and consumer technology. Mr. Bajarin has been with Creative Strategies since 1981 and has served as a consultant to most of the leading hardware and software vendors in the industry including IBM, Apple, Xerox, Compaq, Dell, AT&T, Microsoft, Polaroid, Lotus, Epson, Toshiba, and numerous others. Mr. Bajarin is known as a concise, futuristic analyst, credited with predicting the desktop publishing revolution three years before it...

New AI smartphone system can identify fake products


A new artificial intelligence (AI) algorithm that allows your smartphone to differentiate between genuine and counterfeit versions of the same product has been developed by a team of Indian-origin researchers in the US. Researchers at New York University (NYU) in the US noted that fake goods represent a massive worldwide problem with nearly every high-valued physical object or product directly affected by this issue. Some reports indicate counterfeit trafficking represents seven per cent of the world's trade today, researchers said. The new method, by contrast, provides a non-intrusive solution to easily distinguish authentic versions of the product created by the original manufacturer and fake versions of the product made by counterfeiters.

Qualcomm's new depth-sensing camera is surprisingly effective


The additions are an iris-authentication front-facing option, an "Entry-Level Computer Vision" setup and a "Premium Computer Vision" kit. Of the three new modules, the most intriguing is the premium computer vision kit. That option is capable of active depth sensing, using an infrared illuminator, IR camera and a 16-megapixel (or 20-MP, depending on configuration) RGB camera. And according to Qualcomm, its iris authentication module can read your eyes even when you have sunglasses on -- something the company's representatives demonstrated effectively at the briefing.

Indian-origin researchers develop an artificial intelligence based app to spot fake products


Indian-origin researchers have developed a new system that uses Artificial Intelligence algorithms and a smartphone app to instantly distinguish between genuine and fake versions of the same product. The Artificial Intelligence algorithms then analyse the images to determine authenticity and provide results in real-time. "The underlying principle of our system stems from the idea that microscopic characteristics in a genuine product or a class of products - corresponding to the same larger product line--exhibit inherent similarities that can be used to distinguish these products from their corresponding counterfeit versions," Subramanian explained. The Entrupy method, by contrast, provides a non-intrusive solution to easily distinguish authentic versions of the product produced by the original manufacturer and fake versions of the product produced by counterfeiters.