There’s much more to autonomous vehicle security than locking a car door. This summer, Kaiyuan Zhang, a 3rd-year computer science Ph.D. student at Purdue University, joined NEC Labs America’s popular intern program to help advance research around autonomous vehicle security. Each year, nearly 50 Ph.D. candidates join NEC Labs America’s innovative program, which centers on a collaborative environment where interns work directly with senior researchers and potential end-user customers.
Existing underground fiber-optic telecommunications cable networks that can be accessed through street manholes are helping a team at NEC Labs America improve wireless communications systems and the Internet of Things (IoT). “Hundreds of millions of fiber-optic cables are already there for communications purposes,” says Shaobo Han, a researcher at NEC Labs America who focuses on the design and development of machine learning and signal-processing techniques for real-world sensing applications. “We’re turning it all into a ‘thinking’ device, using the same cable that’s already there.”
While the previous generation of industrial progress brought us new capabilities, efficiencies, and even delight through digital transformation, we’re entering a new era of innovation, opportunity, and disruption: the Fourth Industrial Revolution. What is the Fourth Industrial Revolution? According to the visionary who coined the term – Professor Klaus Schwab, Founder and Executive Chairman of the World Economic Forum, it is “…characterized by a range of new technologies that are fusing the physical, digital and biological worlds, impacting all disciplines, economies, and industries, and even challenging ideas about what it means to be human.”
The age of computer vision is upon us, and it’s transforming the way we live, work and interact with the world. Nearly every industry has found a use case to grow revenue, reduce cost, or create exceptional experiences using computer vision. From self-driving cars to retail automation, surgeons to farmers, computer vision is everywhere, providing critical insights that are driving progress in virtually every aspect of our daily lives. Today, images and videos are annotated to train artificial intelligence (AI) models to recognize specific objects, but there is still so much more to be done when it comes to understanding what those objects are doing in real-time.
With decreasing hardware costs and increasing demand for autonomic management, many of today’s physical systems are equipped with an extensive network of sensors, generating a considerable amount of time series data daily. A highly valuable source of information, time series data is used by businesses and governments to measure and analyze change over time in complex systems. Organizations must consolidate, integrate and organize a vast amount of time series data from multiple sources to generate insights and business value.
Moore’s law is dead, as we have squeezed all the innovation out of silicon. Fiber optics is the solution to meet the computing needs of tomorrow. Today, we can already use the light traveling inside fiber optic cables as sensors that measure vibrations, sound, temperature, light, and pressure changes. We’re now developing the means to take this to the next level with photonic computing at the speed of light to provide faster reaction time, reduce energy consumption and improve battery range
We are helping to safely bring the first woman astronaut to the moon as part of NASA – National Aeronautics and Space Administration’s Artemis Project with our System Invariant Analysis Technology (SIAT). With Lockheed Martin Space’s T-Tauri AI platform, our SIAT analytics engine takes the data from the 150,000 sensors and creates a model incorporating over 22 billion data relationships. The AI model is then analyzed to find any irregularities which could lead to a possible malfunction of any of the spacecraft’s systems.
By 2024, the spacecraft “Orion” developed by Lockheed Martin will bring humans to the moon in NASA’s Artemis program. The system invariant analysis technology, one of NEC’s Artificial Intelligence technologies, will perform checks to ensure that the spacecraft is tested and operating properly during the production phase.
NEC Corporation has deployed an AI-based traffic monitoring system to Central Nippon Expressway Company Limited (NEXCO CENTRAL). The system uses fiber-optic sensing and AI technologies to visualize traffic conditions, such as the location, speed, and direction of travel, from vibrations produced by vehicle movement.
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NEC Laboratories America, Inc. (NEC Labs) is the US-based center for NEC Corporation’s global network of corporate research laboratories. Our diverse research groups collaborate with industry, academia and governments to provide disruptive solutions to complex problems. A leader in the integration of IT and network technologies with more than 100 years of expertise, NEC provides a combination of products and solutions that cross-utilize the company’s experience and global resources to meet the complex and ever-changing needs of its customers.
Read Our Blog Posts
- Meet the NEC Labs America Intern Helping to Make Autonomous Vehicles Safer and More Secure
- AI/Fiber-Optic Combo Poised To Improve Telecommunications
- Industrial Labs to Drive Disruptive Innovation for the Fourth Industrial Revolution
- A New Hope: AI Research is Conquering Today’s Computer Vision Plateau
- NEC Labs America’s Time Series Data Research Drives Space Systems Innovation
- Next-Generation Computing Finally Sees Light
- AI/Fiber-Optic Combo Poised To Improve Telecommunications
- Using AI To Safely Put The First Woman On The Moon
- Our AI Research Contributing to NASA’s Artemis Space Program
- NEC provides AI-based traffic monitoring system with fiber-optic sensing technology for NEXCO CENTRAL