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Tag: Autonomy
Formal Methods for Safe Autonomy: Data-Driven Verification, Synthesis, and Applications (ACM Books)
Price: $54.95
(as of Dec 27,2024 12:51:16 UTC – Details)
ASIN : B0DKB2NZFS
Publisher : ACM Books (October 7, 2024)
Language : English
Paperback : 184 pages
ISBN-13 : 979-8400708633
Item Weight : 11.5 ounces
Dimensions : 7.5 x 0.39 x 9.25 inches
Formal Methods for Safe Autonomy: Data-Driven Verification, Synthesis, and Applications (ACM Books)In the rapidly evolving field of autonomous systems, ensuring safety and reliability is of paramount importance. Formal methods, which provide mathematical techniques for rigorously verifying and synthesizing correct behaviors, are essential tools for achieving this goal.
This book, published by the Association for Computing Machinery (ACM), explores the latest advances in formal methods for safe autonomy, with a focus on data-driven approaches. The authors present cutting-edge research on verification and synthesis techniques that leverage data to improve the reliability and robustness of autonomous systems.
Topics covered in the book include:
– Formal verification of autonomous systems using data-driven techniques
– Synthesis of controllers for autonomous systems based on data-driven models
– Applications of formal methods in diverse domains, such as robotics, self-driving cars, and unmanned aerial vehicles
– Case studies and real-world examples illustrating the benefits of data-driven formal methods for safe autonomyWhether you are a researcher, practitioner, or student in the field of autonomous systems, this book provides valuable insights into the use of formal methods for ensuring the safety and reliability of autonomous systems. Stay ahead of the curve with the latest research and applications in data-driven verification, synthesis, and more.
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Autonomy: The Quest to Build the Driverless Car—and How It Will Reshape Our World
Price: $0.99
(as of Dec 01,2024 08:25:59 UTC – Details)
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Autonomy: The Quest to Build the Driverless Car—and How It Will Reshape Our WorldThe race to develop autonomous vehicles has been heating up in recent years, with tech giants like Google, Uber, and Tesla all vying to be the first to bring a truly driverless car to market. But what exactly is autonomy, and how will it change the way we live and move around?
Autonomy refers to the ability of a vehicle to operate without human intervention. This means that a driverless car can navigate roads, avoid obstacles, and make decisions about speed and direction all on its own. The potential benefits of autonomous vehicles are numerous, from reducing traffic accidents and congestion to freeing up valuable time for passengers to work, relax, or sleep while on the road.
But the impact of autonomy goes beyond just transportation. As driverless cars become more prevalent, they will also reshape our cities and infrastructure. Parking lots and garages may become obsolete, as cars drop off passengers and then go off to park themselves. Traffic lights and signs may no longer be necessary, as autonomous vehicles communicate with each other to navigate intersections safely and efficiently.
Of course, there are still many hurdles to overcome before autonomous vehicles become a common sight on our roads. Technical challenges, regulatory hurdles, and public acceptance all stand in the way of widespread adoption. But with the potential benefits of autonomy so great, it seems likely that driverless cars will become a reality sooner rather than later.
So buckle up and get ready for the future of transportation, because autonomy is coming—and it’s going to reshape our world in ways we can only begin to imagine.
#Autonomy #Quest #Build #Driverless #Carand #Reshape #World
On the Road to Autonomy: NVIDIA’s Journey in Developing Self-Driving Cars
Self-driving cars have been a hot topic in the automotive industry for years now, with companies like Tesla, Google, and Uber all vying to be the first to bring fully autonomous vehicles to the market. One company that has been making significant strides in this field is NVIDIA, a leading technology company known for its graphics processing units (GPUs) and artificial intelligence capabilities.NVIDIA’s journey into the world of self-driving cars began in 2015 when it announced the launch of its Drive PX platform, a powerful computer system designed specifically for autonomous vehicles. This platform was the first of its kind, providing the processing power and advanced algorithms needed to enable self-driving cars to navigate and react to their surroundings in real-time.
Since then, NVIDIA has continued to innovate and push the boundaries of what is possible with autonomous driving technology. In 2016, the company unveiled its Drive PX 2 platform, which featured more than ten times the processing power of its predecessor and was capable of processing data from up to 12 cameras and multiple other sensors simultaneously.
NVIDIA has also been working closely with some of the biggest names in the automotive industry to bring self-driving cars to the masses. In 2016, the company announced partnerships with both Audi and Mercedes-Benz to develop autonomous driving systems based on its technology. These partnerships have helped NVIDIA to further refine its technology and bring it closer to commercialization.
One of the key factors that sets NVIDIA apart from its competitors in the self-driving car space is its focus on artificial intelligence. The company has developed a deep learning platform called NVIDIA DRIVE, which uses neural networks to process data from sensors and make decisions in real-time. This technology has allowed NVIDIA to achieve impressive results in autonomous driving, with its cars consistently outperforming human drivers in a wide range of situations.
Looking to the future, NVIDIA is continuing to invest heavily in autonomous driving technology, with plans to release even more powerful and efficient platforms in the coming years. The company is also working on developing new partnerships and collaborations with other companies in the automotive industry to further advance the state of self-driving cars.
Overall, NVIDIA’s journey in developing self-driving cars has been a remarkable one, with the company making significant strides in a relatively short amount of time. With its cutting-edge technology and commitment to innovation, NVIDIA is poised to play a key role in shaping the future of transportation and bringing fully autonomous vehicles to the masses.
Accelerating Autonomy: How NVIDIA is Leading the Way in Self-Driving Technology
Autonomous driving technology is rapidly evolving, with major players in the automotive and technology industries investing heavily in research and development to bring self-driving cars to market. Among these companies, NVIDIA has been at the forefront of innovation in self-driving technology, leading the way in developing cutting-edge solutions that are accelerating the adoption of autonomous vehicles.NVIDIA, a leading technology company known for its graphics processing units (GPUs) used in gaming and artificial intelligence applications, has been making significant strides in the autonomous driving space. The company’s DRIVE platform, which combines hardware and software solutions tailored for autonomous vehicles, has become a key enabler for automakers and tech companies looking to develop self-driving cars.
One of the key technologies driving NVIDIA’s success in the autonomous driving space is its deep learning capabilities. Deep learning, a subset of artificial intelligence that mimics the way the human brain processes information, is essential for enabling self-driving cars to perceive and interpret their surroundings in real-time. NVIDIA’s GPUs are particularly well-suited for deep learning tasks, allowing autonomous vehicles to process massive amounts of data quickly and accurately.
In addition to deep learning, NVIDIA’s DRIVE platform also includes a range of software tools and development kits that make it easier for companies to build and test autonomous driving systems. These tools enable developers to simulate complex driving scenarios, train AI algorithms, and optimize the performance of self-driving cars in a virtual environment before deploying them on the road.
NVIDIA’s commitment to advancing autonomous driving technology is further evidenced by its partnerships with leading automakers and tech companies. The company has collaborated with industry giants such as Toyota, Audi, and Mercedes-Benz to integrate its DRIVE platform into their self-driving car projects, demonstrating its leadership in shaping the future of transportation.
Furthermore, NVIDIA’s focus on safety and reliability in autonomous driving technology is crucial for gaining public trust in self-driving cars. The company’s emphasis on developing robust and secure systems that can operate safely in a variety of driving conditions is essential for ensuring the widespread adoption of autonomous vehicles in the future.
As the race to bring self-driving cars to market continues, NVIDIA’s dedication to innovation and excellence in autonomous driving technology is setting the standard for the industry. By leveraging its deep learning expertise, advanced hardware, and strategic partnerships, NVIDIA is paving the way for a future where self-driving cars are not just a possibility, but a reality. With NVIDIA leading the way, the future of autonomous driving looks brighter than ever.
