Street Dreams: NVIDIA DRIVE AI Innovations Wow Smart Mobility Conference

Our phones, homes and televisions have all had an IQ upgrade in the past decade. Now, it’s time for the way we travel to get smart. At the Smart Mobility Conference in Tel Aviv this week, members of the NVIDIA DRIVE ecosystem showed the latest in autonomous vehicle development as the industry moves toward production. Read article >

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Street Dreams: NVIDIA DRIVE AI Innovations Wow Smart Mobility Conference

Our phones, homes and televisions have all had an IQ upgrade in the past decade. Now, it’s time for the way we travel to get smart.

At the Smart Mobility Conference in Tel Aviv this week, members of the NVIDIA DRIVE ecosystem showed the latest in autonomous vehicle development as the industry moves toward production. Companies also unveiled new designs for traffic management, using connected technologies to improve safety and efficiency for both human-driven and autonomous vehicles.

The week kicked off with Blue White Robotics, an autonomous vehicle testing and certification company, detailing its collaboration with NVIDIA for a self-driving car test-bed.

BWR will use the NVIDIA DRIVE AGX platform — which includes an automotive-grade AI computer and a full software stack with a suite of deep neural networks — to allow for faster integration, testing and assessment of all levels of autonomous capabilities.

And there was even more intelligence on display from the NVIDIA ecosystem on the SMC show floor.

Taking the Self-Driving Future for a Spin

With high-performance compute, the auto industry can incorporate AI into every level of development, from training and testing to fully driverless operation.

Cognata, an Israel-based simulation company that is part of the DRIVE Constellation open platform, provides detailed traffic and scenario models using data captured by traffic cameras around the world.

Cognata provides models that accurately simulate traffic for autonomous vehicle training and validation.

At SMC, the company rolled out its latest offering, Synthetic Datasets, to improve accuracy, diversity and scale in simulation testing and validation. Cognata’s datasets aim to streamline the training and testing process by providing high-quality, photorealistic synthetic data paired with fully labeled and annotated ground truth data.

When driving in the real world, autonomous vehicles can communicate with their environment using connected technology.

Autotalks delivers an advanced, secure and global vehicle-to-everything communication solution for autonomous vehicles. Supported by the NVIDIA DRIVE platform, it complements the information coming from other sensors, specifically in rough weather or poor lighting conditions.

Teleoperation company Ottopia provides a remote control platform for autonomous vehicles. This over-the-air connectivity makes it possible for human operators to safely navigate cars that encounter difficult scenarios, like construction zones. The company is integrating its advanced teleoperation platform with NVIDIA DRIVE AGX Pegasus.

When driving without a human, autonomous vehicles must be able to detect the world around them in real time. Self-driving software company VayaVision has developed a highly accurate environmental perception model, applying deep learning and computer vision algorithms to vehicle sensor data. VayaVision is leveraging NVIDIA DRIVE for instantaneous processing and sensor fusion.

VayaVision creates a 3D model for autonomous vehicle perception using sensor data and computer vision.

Traffic Jams No More

Connected technology doesn’t just help autonomous vehicles navigate, it can also be integrated into the road infrastructure to optimize traffic flows.

As part of the NVIDIA ecosystem, NoTraffic and ITC have developed AI platforms using data from connected vehicles and sensors to optimize traffic at intersections. By analyzing road users and recognizing traffic patterns, the platforms can change traffic light allocations to improve the flow of vehicles.

Thermal sensing company Adasky, which develops on NVIDIA DRIVE, is also working to improve safety and efficiency at intersections. The company said this week that its latest thermal sensor integrates into smart intersections to enable detection, classification and positioning of all road users in all visibility conditions — day or night, rain or shine.

The AdaSky thermal sensor can help analyze traffic data in a variety of weather conditions.

The system transmits information to vehicles approaching the intersection as well as to transportation control centers, allowing preventative actions in potentially dangerous situations.

With the combination of AI-powered vehicles and infrastructure, the NVIDIA ecosystem in Tel Aviv is building mobility solutions for a smarter future.

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NoTraffic, No Problems: AI Startup Improves Intersections

Israel-based technology company NoTraffic is using AI to transform intersections from danger zones to intelligent decision makers, cutting time delays and carbon dioxide emissions. Next week, NoTraffic’s Yoav Valinsky, a computer vision researcher, will be going to GTC DC to discuss how the company is operating at the edge in a presentation called, “From Theory Read article >

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NoTraffic, No Problems: AI Startup Improves Intersections

Israel-based technology company NoTraffic is using AI to transform intersections from danger zones to intelligent decision makers, cutting time delays and carbon dioxide emissions.

Next week, NoTraffic’s Yoav Valinsky, a computer vision researcher, will be going to GTC DC to discuss how the company is operating at the edge in a presentation called, “From Theory to Practice: Computer Vision on Edge Devices for Real-Time Optimization.”

Founded by Tal Kreisler, Or Sela, and Uriel Katz, and a member of NVIDIA’s Inception startup incubator, NoTraffic uses AI sensor units at intersections to analyze traffic and optimize traffic lights accordingly.

This proactive approach contrasts with today’s usual intersection technology, such as inductive-loop traffic detectors. Induction loops are installed underground — making it challenging to upgrade or replace — and work like metal detectors to sense cars.

Those traffic detectors are also constrained by the intersection’s fixed time plan. While they can minimize or maximize a light’s duration, the detectors can’t override a light — even if there are no cars coming in that direction.

Using AI at the edge, NoTraffic’s system reduces the cost of installation and maintenance, and gives intersections the ability to prepare for vehicles rather than just react to them.

Rewiring the Rules of the Road

NoTraffic starts by installing AI sensor units aimed in every direction of an intersection. The units use the NVIDIA Jetson platform and GPU-accelerated frameworks to fuse machine vision and radar, processing data roughly 15 times a second, according to Valinsky.

The sensor units also integrate connected vehicle capabilities based on dedicated short range communications (DSRC) and cellular vehicle-to-everything (CV2X). DSRC is a system of wireless communication channels between vehicles and infrastructure; and CV2X technology provides communication between vehicles, infrastructure, and any related entities.

NoTraffic’s units can then detect and classify all road users — including cars, buses, trucks, bicycles, and pedestrians — at the edge. The processed data is then streamed to the Optimization Engine, installed in the traffic signal control cabinets that are already present at most intersections.

There, the data is used to optimize and manage traffic lights, both at the individual intersection and across the city grid. By placing compute closer to the point of action, NoTraffic’s edge system saves bandwidth and lowers latency for faster calculations.

NoTraffic securely sends data from each intersection to the cloud for further processing and city-grid optimization, and presents the information in a dashboard designed for city engineers. They can use it for big data analytics, remote monitoring of intersections, and the implementation of new traffic policies.

NoTraffic, No Problems

Analyzing in real-time provides capabilities such as collision prediction. NoTraffic’s Director of Business Development Ilan Rozenberg explained that the sensor units calculate the speed, acceleration, and direction of vehicles, so they can infer when two cars can’t see each other and will probably collide.

The sensors’ ability to classify vehicles also makes it possible to prioritize certain road users. If a city wanted to prioritize public transportation or pedestrians at the intersections surrounding schools on weekday mornings, city engineers would input that policy in their dashboards. NoTraffic’s system would make the changes autonomously.

The company is currently focused on the U.S., and is conducting pilot projects in several cities and counties across the country. Annually, NoTraffic is reducing delays by 2,700 hours and preventing 33 tons of emissions per intersection.

The company looks forward to making their technology even smarter — the longer it’s implemented, the better it’ll be able to predict vehicle and pedestrian patterns.

To learn more about the AI powering NoTraffic, come out to GTC DC, Nov. 4-6.

The post NoTraffic, No Problems: AI Startup Improves Intersections appeared first on The Official NVIDIA Blog.

NTT, Intel and Sony Establish New Global Forum Dedicated to Realizing the Communications of the Future

SANTA CLARA, Calif., Oct. 30, 2019 — Delivering on the promise of a truly smart and connected world, where we enjoy an environment that improves the way humans live and interact with technology, requires a significant shift in computing, communications and network infrastructure. Nippon Telegraph and Telephone Corporation (NTT), Intel Corporation (Intel) and Sony Corporation (Sony) today announced that they will create a new industry forum, the Innovative Optical and Wireless Network (IOWN1) Global Forum.

The global forum’s objective is to accelerate the adoption of a new communication infrastructure that will bring together an all photonics network infrastructure including silicon photonics, edge computing and connected computing to meet our future data and computing requirements through the development of new technologies, frameworks, specifications and reference designs, in areas such as:

  • Photonics R&D, including photonic devices of the future, photonic network equipment and end-to-end architecture, powered by advances in photonics-electronics convergence technologies. This will significantly reduce power consumption and enable instant access and response by shortening latency times and broadening transmission capacity.
  • Connected compute, which is expected to be increasingly critical for computing across networks, leveraging both artificial intelligence (AI) and workloads that will be dynamic and distributed.
  • Use cases and best practices for a smart world and enabling technologies, such as digital twin computing (a computing paradigm that enables humans and things in the real world to be re-created and interact without restrictions in cyberspace), R&D in human behavior and society modeling, large-scale simulations and next-generation “real” UI/UX device technologies.

Next-generation communications have the potential to improve many aspects of life, ranging from remote healthcare, disaster prevention, education, automated driving, finance, entertainment/sports and industrial manufacturing. IOWN’s aim is to deliver the next generation of communication infrastructure that will allow as many people as possible to take advantage of this future.

Technology, telecommunications and other industry organizations will be invited to join the forum. NTT, Intel and Sony, with their industry leadership and expertise in these technology areas, will act as founding members. In the coming months, NTT, Intel and Sony will select the initial board of the IOWN Global Forum to jointly kick off operations.

IOWN Global Forum will be based in the U.S., and membership opportunities are currently available to interested parties. More details on IOWN and membership information can be found at http://www.iowngf.org.

Fact Sheet: IOWN Global Forum

Executive statements:

“NTT has a long history in photonics-related R&D and has achieved cutting-edge results in fields like silicon photonics and optoelectronic convergence. Based on these technologies, NTT aims to power the next generation of technology innovation and solve many of today’s societal challenges, such as ever-increasing power consumption. We will bring our leading R&D expertise to foster the photonics revolution and unlock new technologies to ultimately enable a smart world, where technology becomes so ‘natural’ that people are unaware of its presence. NTT is looking forward to collaborating with its best-in-class partners and realizing a smart world.”
–Jun Sawada, president and CEO, NTT

“Digital transformation and the growth of data is driving an infrastructure build-out that will dwarf the first era of the cloud defined by hyperscale data centers. We are using information technology now in completely new ways that demand we move, store and process data even faster, more securely and often closer to the person using the service. The combination of super-fast networking and pervasive high-performance computing – the edge infrastructure to deliver smart services anywhere, anytime – can only be achieved with a profoundly new mindset shared across a global ecosystem. The IOWN collaboration is an important step forward. A vision of this magnitude can only be achieved with global leaders across industries. Intel is honored to join forces with NTT and Sony in this industry-wide journey to help define the future of technology.”
–Bob Swan, CEO, Intel Corporation

“Based on our Purpose to ‘Fill the world with emotion, through the power of creativity and technology,’ at Sony we work closely with creators to help them realize their vision through technology, and deliver compelling content to their fans around the world. The high-capacity, low-latency, energy efficiency and flexibility that IOWN offers, opens up exciting new possibilities in terms of connecting creators with users, bringing together people with people, and sharing highly realistic entertainment in real time. We are proud to stand together with NTT and Intel as we embark on the establishment of this forum, and look forward to working with them and many other partners going forward, in order to create new value.”
–Kenichiro Yoshida, president and CEO, Sony Corporation

1 IOWN stands for Innovative Optical and Wireless Network. IOWN is future communications infrastructure to realize a smart world by using cutting-edge technologies like photonics and computing technologies.

About NTT
NTT is a global technology and business solutions provider. We help clients grow their business and improve their competitive market position by delivering fully integrated services, including global networks, cybersecurity, managed IT and applications, cloud and datacenter services combined with business consulting and deep industry expertise. As a top-five global technology and business services provider, NTT works with over 80 of the Global Fortune 100 companies and many thousands of other clients and communities to achieve their goals and contribute to a sustainable future.

About Intel
Intel (NASDAQ: INTC), a leader in the semiconductor industry, is shaping the data-centric future with computing and communications technology that is the foundation of the world’s innovations. The company’s engineering expertise is helping address the world’s greatest challenges as well as helping secure, power and connect billions of devices and the infrastructure of the smart, connected world — from the cloud to the network to the edge and everything in between. Find more information about Intel at newsroom.intel.com and intel.com.

About Sony
Sony Corporation is a creative entertainment company with a solid foundation of technology. From game and network services to music, pictures, electronics, semiconductors and financial services — Sony’s purpose is to fill the world with emotion through the power of creativity and technology. For more information, visit: www.sony.net/.

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Picture-Perfect Product Help: AI Startup Brings Computer Vision to Customer Service

When your appliances break, the last thing you want to do is spend an hour on the phone trying to reach a customer service representative. Using computer vision, Drishyam.AI is eliminating service lines to help consumers more quickly. Satish Mandalika, the CEO and founder of the deep learning-based image recognition platform, spoke with AI Podcast Read article >

The post Picture-Perfect Product Help: AI Startup Brings Computer Vision to Customer Service appeared first on The Official NVIDIA Blog.

Picture-Perfect Product Help: AI Startup Brings Computer Vision to Customer Service

When your appliances break, the last thing you want to do is spend an hour on the phone trying to reach a customer service representative.

Using computer vision, Drishyam.AI is eliminating service lines to help consumers more quickly.

Satish Mandalika, the CEO and founder of the deep learning-based image recognition platform, spoke with AI Podcast host Noah Kravitz about the company.

“Customer support is ripe for disruption,” Mandalika said. Drishyam.AI is changing the game by giving customers an app that they use to take a picture of the product they need help with at any time of day or night, rather than calling a help line.

Using computer vision, Drishyam.AI analyzes the issue and communicates directly with manufacturers, rather than going through retail outlets. This is more efficient because a product’s lifetime warranty is usually held by the company that made it, rather than the stores selling it like Home Depot and Lowe’s.

Since Drishyam.AI’s founding two years ago, the company is only pursuing relationships with manufacturers, but that could change in the future Mandalika said, by collecting data more and more data. “We build that intelligence across product lines in a domain, and then we can turn around and help the consumer directly,” Mandalika said.

A member of NVIDIA’s Inception startup incubator, Drishyam.AI’s pilot projects include two large faucet manufacturing companies, which will soon be converted into paying client.

The home improvement domain is Drishyam.AI’s beachhead, given the numerous amount of products in that field that have lifetime warranties and require customer support. However, they’re expanding into a variety of fields.

Mandalika’s vision for Drishyam.AI is that eventually, “You should be able to get support for any product that you need by just pointing your mobile device at it. And platforms like ours will then help you identify the products, troubleshoot, and even order parts and all that.”

To find out more about Drishyam.AI, visit their website or their twitter.

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HBO Made the Right Call Icing Naomi Watts’ Game of Thrones Prequel

HBO has cancelled a hotly anticipated Game of Thrones prequel starring Naomi Watts. This may prove to be the right call for a nervous network dealing with the fallout from GoT’s polarizing final season. The network just ordered 10 episodes of “House of the Dragon” to ensure mainstream appeal and help it survive the upcoming […]

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Intel Opens ‘The Smartest Building in the World’; Israel’s PTK1 Creates 50TB of Data Daily

What’s New: Intel in September unveiled its new highly efficient development center in Petach Tikva, Israel. The 800,000-square-foot, 11-story building named PTK1 unites 2,000 employees, who had been scattered in eight buildings across five campuses. Intel’s new development center is the smartest one around: PTK1 independently runs its various systems and functions, accumulating data, processing it and using artificial intelligence (AI) to make decisions.

“Intel’s new PTK1 building is all about the employee experience. Leveraging the smart platform created and its countless capabilities, the building automatically adapts itself and its systems to provide the ultimate work setting for our teams, stimulating teamwork, creativity and inspiration. Ultimately, it enables our teams to continue designing the best technologies and products to fuel Intel’s data-centric strategy.”
–Yaniv Garty, Intel vice president and general manager of Intel Israel

Intel PTK1 1s
Intel in September 2019 unveiled its new highly efficient development center in Petach Tikva, Israel. The 800,000-square-foot, 11-story building named PTK1 produces 50 to 100 terabytes of data — information that is analyzed in real time by an Intel-based building management system. (Credit: Intel Corporation)
» Click for full image
How It’s Different: Intel’s leaders have labeled PTK1 “the smartest building in the world.” It includes 14,000 sensors – compared with 7,000 in other high-tech buildings – that monitor or control lighting, temperature, ventilation, parking, conference room availability and other building services and systems that enable and foster smart innovation.

Every day, PTK1 produces 50 to 100 terabytes of data — information that is analyzed in real time by an Intel-based building management system. With no human intervention, Intel’s new development center accumulates information, processes it and uses AI to make decisions and adjust various systems based on different parameters.

Why It’s Important: Intel’s new LEED Platinum building in Petach Tikva is all about the employees’ experiences, using AI to promote teamwork, creativity and inspiration. The new development center in Petach Tikva hosts 2,000 employees working in computing, communication, AI and cybersecurity. They develop the technologies and products that form the foundation for a data-centered world.

Where It Fits: The development center joins Intel Israel’s other development hubs in Haifa and Jerusalem, and the manufacturing site in Kiryat Gat.

More Context: PTK1 Fact Sheet


» Download “Intel’s PTK1 Development Center in Petach Tikva, Israel (B-Roll)”

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