Researchers forecast that by 2025 we’ll see approximately 8 million autonomous or semi-autonomous vehicles on the road. Before merging onto roadways, autonomous cars will first have to progress through six levels of driver-assistance technology advancements. What exactly are these levels and where are we now?
Posted in Automotive |
The Motor Industry Software Reliability Association recently announced it is merging its C++ guidelines with AUTOSAR. Will this unified standard for safety-related code development be enough to safeguard the future of the connected car?
Posted in Application Security, Automotive |
In the automotive world, recalls for electronics affect about five percent of the vehicles on the road. That means 5 out of every 100 vehicles today have a problem with their electronics. If we want to see more autonomous driving vehicles, that number must be improved. There needs be more robustness in the development process.
Posted in Automotive |
To better understand the challenges ahead for fully autonomous vehicles, research teams over the last few decades have attempted to automate the process of driving. But early successes have not yet given us truly autonomous vehicles. Why?
Posted in Automotive |
Cellular carriers would like to have their new 5G networks up by the end of 2018 or early 2019. One problem: they need a set of standards to create the new technology. Last weekend, tech representatives met and made significant first step for technology companies to start building out the necessary 5G chips and software.
Posted in 5G, Automotive, Internet of Things |
At the heart of the very cool intelligent connected vehicles (ICVs) of tomorrow is sophisticated software with artificial intelligence and powerful silicon chips all working together. These technologies will transform the traditional automotive supply chain from a mechanical-driven world to a digital one, where the user experience, reliability, safety, and value are created from silicon and software. It will allow OEMs and Tier 1 suppliers to further differentiate, and do so quickly. It also introduces, if done poorly, additional risks to privacy, safety, and reputation.
Posted in Automotive |
Women play vital roles in developing the tools that engineers around the world use to design smart chips and develop secure code for the amazing devices that are changing the way we work and play. USA Today recently featured three Synopsys engineers, who reflect on their experiences as women in tech and offer advice on carving out success in a male-dominated field.
Posted in Application Security, Artificial Intelligence, Automotive, Cryptography, EDA, Healthcare, Internet of Things, IP, Machine Learning, Malware, Optical Design, Privacy, Quantum Computing, Robotics, Security, Superconducting Electronics, TCAD |
So far, connected autonomous vehicles have been tested in urban settings. That may be part of a larger business model that suggests on-demand driverless vehicles may soon dominate urban areas. It may also reflect a much harsher reality: While there’s plentiful internet within urban centers, there’s less so everywhere else.
Posted in Automotive, Internet of Things |
Despite years of evidence from researchers that some medical devices in homes and in healthcare facilities may contain serious vulnerabilities, such has the ability to manipulate insulin pumps and pacemakers wirelessly, there has been little acknowledgement from the industry. Unlike the automotive industry, which addressed a wide variety of cybersecurity issues soon after the infamous Cherokee Jeep Hack in the summer of 2015, medical devices have remained rife with potentially life-threatening vulnerabilities. That is about to change.
Posted in Automotive, Healthcare, Security |
In the movies, artificial intelligence (AI) is often represented as an android, a human-like robot. In reality, AI will be mostly in the background, anticipating our needs based on prior experience in terms of autonomous driving, healthcare, even financial services.
Posted in Artificial Intelligence, Automotive, EDA |
Melissa Kirschner is Web Editor-in-Chief at Synopsys. She has been a writer, editor, and content strategist in high-tech for more than 15 years. Melissa is fascinated by the socio-cultural implications of the digital age. When not researching AI, autonomous driving, 5G, cryptography, and medical advancements, she enjoys reading the works of Neil Gaiman, watching dystopian dramas, and rescuing abused animals. Most of all, she likes to write things that people like to read.