Daily News Digest Featured News

Lowe’s develops in-store navigation AR, machine learning reverse engineers cell control networks, Mythic launches chip to enable computer vision & voice control on any device

cyclist ar app

News Summary

Augmented Reality

University of Bradford to develop augmented reality app for Yorkshire cyclists (Internet of Business)

Taking inspiration from the viral success of last year’s Pokemon Go, the project will incorporate AR and elements of gamification to explore ways in which safe and responsible cycling can be encouraged. The first prototype of the app will be based on the Cycle Superhighway linking Bradford and Leeds.

Plans for the app include explorable features on the Leeds to Bradford Superhighway, highlighting the signs used and the shared safety conventions cyclists, motorists and pedestrians are bound by. Cyclists will be rewarded for being safe and responsible, while points will be deducted for reckless riding.

cyclist ar app

Tridonic and EON Reality show Augmented Reality app to control and provision IoT enabled industrial lighting at CeBIT (LEDinside)

By using Augmented Reality (AR), controlling and provisioning banks of LED lights becomes substantially easier. Lights can be identified and controlled visually through the Augmented Reality application which interfaces with the device over a sophisticated mesh network allowing users locally or from around the world to view device performance or control the light itself. net4more builds on IPv6 protocols allowing easy communication with third party services and devices, specifically in this case EON Reality’s AVR platform.

EON Reality’s AVR platform interfaces with IoT data provided by the net4more solution in Augmented Reality, both for provisioning and control. The AVR Platform was purpose built to display real-time contextual data from the local environment as well as empower individuals with no programming experience to build an illuminated world with IoT data.

Take Augmented Reality Onto the Squash Court (Curiosity)

New augmented reality visualization app Dotty has launched in the app store (TechCrunch)

One application, which recently launched on both iOS and Android, is DOTTY, which provides three-dimensional visualization tools for augmented reality viewers.

The company’s first big rollout is an integration with TurboSquid, the three-dimensional image library.

Lowe’s Develops In-Store Navigation With Augmented Reality (HomeWorld Business)

More retailers, ranging from Wayfair to Williams-Sonoma, have been establishing augmented and virtual reality initiatives and Lowe’s has joined them with the launch of its Lowe’s Vision: In-Store Navigation app.

The Lowe’s Vision: In-Store Navigation app uses Tango-enabled motion tracking, area learning and depth perception to guide customers through the store using a mixed reality interface. Shoppers can use any Tango-enabled smartphone to create a list of required items in the app and access product reviews and information. Directional prompts overlaid onto the real world setting guide shoppers to each item they need using the most efficient route around the store.


The show just announced that they’ll be using augmented reality to hide easter eggs, games, and extra footage inside broadcast episodes and advertising material; stuff that the viewer can access via a smartphone app called Archer P.I..

3 Ways Businesses Enhance Their Brand With Augmented Reality (Edgy Labs)

Lego, for example, implemented AR kiosks into their retail locations (the Digital Box) so customers can scan the kit and visualize how the finished product looks before purchasing it.

Apart from previewing a retail purchase, AR also facilitates the consumer’s experience by allowing them to try the product in a personal environment from the comfort of home before buying it.

For example, a business card can be “augmented” to add rich content well beyond the old ink-on-paper: to allow access to more information, such as an interactive logo, a welcoming message or a presentational video.

Artificial Intelligence/Machine Learning

ARM’s new chip design focuses on AI and machine learning (The Verge)

Chips built using Dynamiq will be easier to configure, says ARM, allowing manufacturers to connect together a wider variety of CPUs. This should allow for more powerful systems-on-chip, but also processors that better serve computing tasks of the future from artificial intelligence to self-driving cars.

Dynamiq builds on ARM’s existing “big.LITTLE” approach, which pairs a cluster of powerful, or “big,” processors, with a set of power-sipping “little” ones. Dynamiq adds more variety to this system, supporting core that aren’t just big or little, but anywhere in between, with the ability to connect up to eight different CPUS of any configuration — an approach to chip design known as heterogeneous computing.

But, Dynamiq goes beyond offering just additional flexibility, and will also let chip makers optimize their silicon for tasks like machine learning. Companies will have the option of building AI accelerators directly into chips, helping systems manage data and memory more efficiently. These accelerators could mean that machine learning-powered software features (like Huawei’s latest OS, which studies the apps users use most and allocates processing power accordingly) could be implemented more efficiently.

How Zocdoc’s New Machine Learning Search Engine Makes Medicine More Human (Fortune)

That’s why Zocdoc, the online doctor-locating and medical appointments platform, launched a new feature today on desktop and mobile devices that it dubs the “Patient-Powered Search.” The firm describes this new engine as a “more intuitive search experience, built specifically to bridge the gap between healthcare industry and human speak.”

For instance, “gyno” would be understood to be OB-GYN and the misspelled “hemroids” would be mapped to hemorrhoids; searching for “anxiety” or “depression” will bring up the variety of possible medical professional who may be able to help a patient with those mental health conditions. And by constantly learning the types of real-world medical searches that people conduct, it can continually adjust to shifting trends.

AI, machine learning blossom in agriculture and pest control (CIO)

Seed retailers, for example, are using AI products to churn through terabytes of precision agricultural data to create the best corn crops, while pest control companies are using AI-based image-recognition technology to identify and treat various types of bugs and vermin.

Beck’s Hybrids, which competes with the much larger Monsanto, DuPont, Land O’ Lakes, Syngenta and other precision agricultural providers, is using an AI product to analyze large amounts of data to determine which corn breeds and which conditions will produce the highest yields. The company’s geneticists need to know how sun light, rain, location, terrain and could affect growth and profits for the more than 30,000 different types of seeds it offers.

Machine learning lets scientists reverse-engineer cellular control networks (Science Bulletin)

Working with Maria Lobikin, a Ph.D. student in his lab, and Daniel Lobo, a former post-doc and now assistant professor of biology and computer science at the University of Maryland, Baltimore County (UMBC), Levin is using machine learning to uncover the cellular control networks that determine how organisms develop, and to design methods to disrupt them. The work paves the way for computationally-designed cancer treatments and regenerative medicine.

One of the most important tests of their artificial intelligence-derived model was to see if it could be used to discover a treatment that would break the normal concordance among cells, and induce a salt-and-pepper pattern in which individual cells within a single tadpole would choose to become melanoma-like or not.

Lobo developed a code that treated the drug and cellular interactions as nodes on a network and characterized how each component behaved as a differential equation. The code then randomly combined the various equations at each node as a chain of interactions and scored how close this network of interactions came to reproducing the lab experiments.

Top 4 Types of Locations Using Artificial Intelligence (The Merkle)

For example, restaurant owners are capable of determining how competitors’ presence affects their own business. Moreover, it can even provide an estimate of how profitable a specific location should be. It also allows restaurants to organize their inventory in an optimal manner and improve the overall customer experience.

Artificial intelligence-based tutors will not replace teachers, but they merely complement them. They also serve as an “always on standby” entity to ask questions to.

Medical diagnosis is one particular area of interest, as doctors and AI solutions come to conclusions together to see the bigger picture. AI is also used to scan patient digital images, mostly to detect tumors.

Combined with game theory, AI is used to fight poachers and keep the animals safe at all times.

MasterCard Infusing Artificial Intelligence into Credit Transactions (Centre Daily Times)

MasterCard, one of the leading issuers of credit cards throughout the country, recently announced the development and implementation of an artificial intelligence tool, Decision Intelligence. The service, touted as a comprehensive decision and fraud detection program, utilizes artificial intelligence technology to allow financial institutions the ability to accurately process transactions and detect fraudulent purchases for customers. The intent of the program is to decrease the number of false positives that plague consumers when the detection of credit card fraud is less than accurate.

Machine Learning Opens Up New Ways to Help Disabled People (Technology Review)

Researchers at IBM are using language-processing software developed under the company’s Watson project to make a tool called Content Clarifier to help people with cognitive or intellectual disabilities such as autism or dementia. It can replace figures of speech such as “raining cats and dogs” with plainer terms, and trim or break up lengthy sentences with multiple clauses and indirect language.

The University of Massachusetts, Boston, is helping to test how the system could help people with reading or cognitive disabilities.

Xilinx expands into vision-guided machine learning (VisionSystems Design)

With the launch of the reVISION stack, Xilinx has expanded into the market of vision-guided machine learning.

Machine learning elements, according to Xilinx, are complemented by a set of acceleration-ready OpenCV functions for computer vision processing. For application-level development, Xilinx supports industry-standard frameworks including Caffe for machine learning and OpenVX for computer vision. Additionally, the stack includes development platforms from Xilinx and third parties, including various types of sensors.


With reVISION stack, a broad set of software and systems engineers—with little or no hardware design expertise—are now able to develop intelligent vision guided systems easier and faster. reVISION, according to the company, offers 6x better images/second/watt in machine learning inference, 40x better frames/second/watt of computer vision processing, and 1/5th the latency over competing embedded GPUs and typical SoCs.

Tencent Will Outfit Its Public Cloud with Latest NVIDIA Tesla GPUs (Top500)

NVIDIA has revealed that Chinese internet giant Tencent will deploy Tesla GPUs in its public cloud infrastructure. The GPUs are being deployed to help enterprise customers develop machine learning services.

The Tesla GPUs – including both the P100 and P40 – will be made available to these customers via the Tencent cloud, who are building machine learning services, either for their own customer base or for internal use. These include such things as natural language processing, facial recognition, automated customer service, and supply chain logistics.

African Hospitals Adopt Artificial Intelligence to Advance Clinical Genomics (HIT Consultant)

Sophia Genetics, a provider of data-driven medicine, today unveiled the list of African hospitals that have started integrating SOPHiA, the company’s artificial intelligence, into their clinical workflow to advance patients’ care across the continent.

Computer Vision/Machine Vision

Mythic launches a chip to enable computer vision and voice control on any device (TechCrunch)

Now, a startup called Mythic (formerly known as Isocline) is launching a chip and software that will change all that, putting voice control, computer vision and other kinds of AI into our devices locally, no cloud required.

Now, a startup called Mythic (formerly known as Isocline) is launching a chip and software that will change all that, putting voice control, computer vision and other kinds of AI into our devices locally, no cloud required.

“With this, you could put machine intelligence into a toaster, or a Roomba, a security camera, or all kinds of devices where it wouldn’t make sense before because you’d need a persistent internet connection to make it useful.”

DeepScale raises million for perception AI to make self-driving cars safe (TechCrunch)

Now, a startup out of Mountain View, Calif. called DeepScale has raised $3 million in seed funding to help automakers use industry-standard low-wattage processors to power more accurate perception. Alongside sensors, mapping, planning and control systems, perception, (sometimes referenced as “computer vision”) enables vehicles to make sense of what’s going on around them in real time.

Integrated visualization, navigation raise the bar for bridge-inspection drones (GCN)

AutoModality, a San Francisco-based company, has developed an autonomous system that can sense, explore and analyze infrastructure using drones equipped with stereo cameras, computer vision, onboard computers and sensors.

The drone’s cameras send high-definition video in real-time to the inspectors and take high-resolution photos for later analysis.

Users won’t need a 3-D model of the bridge; they can select from a list of possible bridge types.

Sighthound’s AI Software Now Reads License Plates (GlobeNewswire)

Sighthound, Inc. today announced the release of a deeply learned license plate detection and recognition API in its Cloud service and as part of its Sighthound Sentry software. The software scans images or videos and uses Sighthound’s proprietary deep computer vision algorithms to detect and read license plates as well as recognize the country/state of origin. In addition, it also provides confidence scores for each of the above to help with custom development.

The license plate detector can find license plates in a much broader range of real world deployments than traditional single lane focus cameras, and the recognition models are not only robust to license plates from many different parts of the world but also to natural variations in conditions.


Allen Taylor

About the author

Allen Taylor

An award-winning journalist and former newspaper editor, I currently work as a freelance writer/editor through Taylored Content. In addition to editing VisionAR, I edit the daily news digest at Lending-Times. I also serve the FinTech and AR/AI industries with authoritative content in the form of white papers, case studies, blog posts, and other content designed to position innovators as experts in their niches. Also, a published poet and fiction writer.

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