Swift Navi & Carnegie Robotics’ Rugged Duro
Swift Navigation, in conjunction with Carnegie Robotics LLC announced their first joint product, Duro, a ruggedized version of Swift Navigation’s flagship Piksi Multi dual-frequency RTK GNSS receiver
Built for outdoor operations, Duro combines a rugged enclosure with centimeter-accurate positioning at a breakthrough price. Leveraging design principles typically used in military hardware, the GNSS sensor is protected against weather, moisture, vibration, dust, water immersion and unexpected circumstances that can occur in outdoor long-term deployments. In addition to its ruggedness. Primary industries for this product include: Robotics, Precision Agriculture, Mapping, Military, Outdoor Industrial and Maritime.
Swift Navigation solutions utilize real-time kinematics (RTK) technology, providing location solutions that are 100 times more accurate than traditional GPS, at a fraction of the cost. Ushering in a new era of precision GPS affordability, Duro incorporates Piksi Multi and builds on this revolution in advanced precision GNSS capabilities for the mass market.
DMI Buys Lochbridge
DMI, a global leader in end-to-end mobility solutions, announced the acquisition of Detroit-based Lochbridge, a market leader in bringing IoT solutions to the automotive, healthcare, financial services and manufacturing sectors.
Lochbridge has enabled more than $1.5 billion in new annual revenues for its clients. Together, the companies will help organizations across industries rethink how they use mobility and digital solutions to better serve their end customers. As we enter an era where there will be 50 billion connected devices, the knowhow to connect and operate across the Internet of Things will be critical to how companies compete.
Lochbridge has delivered first-ever business solutions for connecting devices:
- Unparalleled experience in connected vehicles:
- Monetizing a connected world.
- Impact with the biggest innovators:
Getaround Gets Around in Boston; Enables People to Rent Out Their Cars
Getaround, the leading peer-to-peer car-sharing platform, announced its expansion into the greater Boston area. Previously, car-sharing in Boston was limited to just options for a renter, but now, car owners can participate in the sharing economy by renting out their cars to people nearby. Those without cars can easily discover and rent cars by the hour using the Getaround website, iOS or Android apps. With thousands of users in Boston looking to rent cars this spring and summer for weekend road trips, mid-week apartment moves and daily errands, now is the time for car owners to list their cars and start earning money.
3M Sells Tolling License Recognition to Neology
3M announced that it has entered into agreements to sell its tolling and automated license/number plate recognition business, which is part of 3M’s Traffic Safety and Security Division, to Neology, Inc., a leading provider of integrated solutions for tolling, electronic vehicle registration and public safety applications. Neology is a subsidiary of SMARTRAC, a portfolio company managed by One Equity Partners, a middle-market private equity firm.
Iteris iPeMS & HERE for Toronto
Iteris, Inc. announced that the City of Toronto is using Iteris iPeMS to manage and measure the performance of its intelligent transportation systems — improving traffic, safety and reliability.
With Iteris iPeMS, the City of Toronto is now able to automatically analyze and visualize real-time and historical traffic while measuring the impacts of changing weather, construction work and infrastructure on roadway mobility and safety.
HERE is providing the City of Toronto with real-time and historical traffic data to support the city’s efforts to reduce road congestion and improve transportation services.
With HERE’s solution, which includes an analytic and reporting tool provided by Iteris, a global leader in applied informatics for transportation, the City of Toronto is developing a new understanding of transportation issues including the impact on traffic of weather conditions, construction works and infrastructure changes. Based on these observations, the city’s Big Data Innovation Team can manage the traffic in real-time and in a smart manner for the benefit of all Torontonians.
IBM Power AI for IBM Power Systems S822LC for HPC Through NVIDIA NVLink
announced a significant new release of its PowerAI deep learning software distribution on Power Systems that attacks the major challenges facing data scientists and developers by simplifying the development experience with tools and data preparation while also dramatically reducing the time required for AI system training from weeks to hours.
Data scientists and developers use deep learning to develop applications ranging from computer vision for self-driving cars to real time fraud detection and credit risk analysis systems. These cognitive applications are much more compute resource hungry than traditional applications and can often overwhelm x86 systems.
The new PowerAI roadmap announced offers four significant new features that address critical customer needs for AI system performance, effective data preparation, and enterprise-level software:
- Ease of Use: A new software tool called “AI Vision” that an application developer can use with limited knowledge about deep learning to train and deploy deep learning models targeted at computer vision for their application needs.
- Tools for data preparation: Integration with IBM Spectrum Conductor cluster virtualization software that integrates Apache Spark to ease the process of transforming unstructured as well as structured data sets to prepare them for deep learning training
- Decreased training time: A distributed computing version of TensorFlow, a popular open-source machine learning framework first built by Google. This distributed version of TensorFlow takes advantage of a virtualized cluster of GPU-accelerated servers using cost-efficient, high-performance computing methods to bring deep learning training time down from weeks to hours
- Easier model development: A new software tool called “DL Insight” that enables data scientists to rapidly get better accuracy from their deep learning models. This tool monitors the deep learning training process and automatically adjusts parameters for peak performance.
PowerAI is optimized for IBM Power Systems S822LC for HPC, which are designed for data-intensive workloads like deep learning, machine learning and AI. The tight integration of IBM POWER processors and NVIDIA GPUs is enabled by the NVIDIA NVLink high-speed interconnect. This “super-highway” between the POWER processor and NVIDIA GPUs helps enables extremely fast data movement between the two types of processors. This exclusive CPU-to-GPU coupling delivers higher performance in AI training, which is a key metric for developer productivity. It enables innovation at a faster pace, so developers can invent and try new models, parameter settings and data sets. PowerAI will support the NVIDIA Volta architecture.
NXP Expains RAIN RFID with UJNCOE DNTA Track & City Tag ICs
NXP Semiconductors it has expanded its portfolio of secure RAIN RFID products with the UCODE DNA Track and UCODE DNA City Tag ICs for inventory and supply chain management as well as smart city applications. The new UCODE DNA tags combine long-range UHF technology with higher security to deliver on NXP’s commitment to support the accelerated adoption of secure RAIN technology in the areas of logistics operations as well as smart city applications such as transport ticketing, event management and access control in the interconnected system infrastructures to help communities and services better serve their customers.
K-City Better than K-Pop?
South Korea is buliding a half-square mile autonomous car test facility, the largest in the world for Kia and Samsung with a $10 million price tag.
YAY for YayYo?
RideYayYo aims to provide LA residents with the riding experience the city now lacks due to the daily surge pricing from the dominant rideshare companies driving up consumer costs — a steep expense to ride in old cars with untrained drivers. Users requesting a ride from RideYayYo will be greeted by a professionally trained driver in a brand new car, with enhanced features for rider safety and security including onboard cameras — all for the lowest price on the market.
YayYo will supply drivers with new cars that can be taken home, enhanced training, guaranteed pay with benefits, insurance, and a path to employee-ownership. With flexible shifts and an innovative customer-centric approach, drivers with RideYayYo can be assured a consistent income without having to worry about extraneous fees such as tolls, insurance, and car payments that come with driving for other services.
- When asked which items they misplace at least one a week, the most common lost items (in order) is revealed as – TV remotes (45%), phones (33%), car & keys (28%), glasses (27%), shoes (24%) and wallets/purses (20%)
- Americans spending 2.5 days a year looking for lost items
- More than $2.7 billion a year is spent replacing misplaced possessions
- Millennials are TWICE as likely as boomers to lose their stuff
- Twice a week, nearly a quarter of Americans misplace their house or car keys and more than half say that misplaced items regularly cause them to be late to work or school
- Multitasking is the most cited cause for misplacing items with almost half of Americans saying trying to juggle more than one task leads to them forgetting where they placed a valuable.
Deep Learning Data Predictions
Deep learning machines are taking over a large portion of drivers’ automotive tasks and will completely take over driving in 10 years, according to a recently published report by IoT market research firm ON World which claims “the connected car is the largest developer opportunity since 2007 and the iPhone.”
Another survey conducted by ON World in March 2017 with 1,000 consumers found that 3 in 10 will pay $10 or more per month for connected car services such as roadside assistance, collision avoidance and diagnostics.
Over the past two years alone, $40 billion has been invested in connected car-related companies and associated technologies.
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