tag: automotive

Five DAC Keynotes
By Brian Bailey - 17 Jul, 2018 - Comments: 0

The ending of Moore's Law may be about to create a new golden age for design, especially one fueled by artificial intelligence and machine learning. But design will become task-, application- and domain-specific, and will require that we think about the lifecycle of the products in a different way. In the future, we also will have to design for augmentation of experience, not just automation... » read more

Week in Review: IoT, Security, Auto
By Jeff Dorsch - 13 Jul, 2018 - Comments: 0

Deals ArterisIP inked a deal with Mobileye, which has bought multiple licenses for ArterisIP's interconnect and resilience technology for functional safety and AI hardware acceleration. Mobileye, which was purchased by Intel last year for $15.3 billion, will use the technology for ISO 26262/ASIL B and D SoCs. Siemens agreed to operate its MindSphere digital operating system on Alibaba Cloud... » read more

Getting To The Self-Driving Car
By Jeff Dorsch - 11 Jul, 2018 - Comments: 0

Realizing the vision of the fully autonomous vehicle is one of the most ambitious research and development initiatives since the Apollo program of the Space Age. While the goal of Apollo was to send a man to the Moon and safely return him to Earth, the goal of self-driving cars is to get a person out from behind the steering wheel and safely convey that person to home, work, a vacation resor... » read more

FPGAs Drive Deeper Into Cars
By Ann Mutschler - 09 Jul, 2018 - Comments: 3

FPGAs are reaching deeper and wider inside of automobiles, playing an increasingly important role across more systems within a vehicle as the electronic content continues to grow. The role of FPGAs in automotive cameras and sensors is already well established. But they also are winning sockets inside of a raft of new technologies, ranging from the AI systems that will become the central logi... » read more

Self-Driving Hits The Safety Reset Button
By Andrew Macleod - 09 Jul, 2018 - Comments: 0

All of a sudden the autonomous future is looking a bit more uncertain, which is somewhat surprising given what tech and auto boosters have been saying for years now — namely, that self-driving cars are “just around the corner.” (Google that phrase to see just how often they’ve been saying it. Even the starchy Economist trumpets this very meme.) The American Center for Mobility (ACM... » read more

7nm Design Challenges
By Ed Sperling - 09 Jul, 2018 - Comments: 0

Ty Garibay, CTO at ArterisIP, talks about the challenges of moving to 7nm, who’s likely to head there, how long it will take to develop chips at that node, and why it will be so expensive. This also raises questions about whether chips will begin to disaggregate at 7nm and 5nm. https://youtu.be/ZqCAbH678GE » read more

Still Waiting For Autonomous Vehicles
By Robert Vamosi - 09 Jul, 2018 - Comments: 0

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? The Defense Advanced Research Projects Agency (DARPA) created the first autonomous vehicle in 1984. This limited-use autonomous vehicle could drive on- and... » read more

Autonomy, Electrification And The Rise Of Model-Based EE Design
By Mentor, a Siemens Business - 09 Jul, 2018 - Comments: 0

Powerful software that automatically transforms input models into deterministic outputs is transforming automotive electrical and electronics (EE) design. Martin O'Brien and Dan Scott set the stage for Mentor's advanced generative engineering approach. To read more, click here. » read more

Blog Review: July 4
By Jesse Allen - 04 Jul, 2018 - Comments: 0

Applied Materials' Sundeep Bajikar argues that to get the full benefits of AI, new computing architectures are needed – and that will require new breakthroughs in materials engineering to get beyond classic 2D scaling. Cadence's Tom Wong considers to what extent chip dis-integration is happening and how the industry can cope with the escalating costs of new process nodes and higher-speed i... » read more

Machine Learning’s Limits
By Ed Sperling - 03 Jul, 2018 - Comments: 0

Semiconductor Engineering sat down with Rob Aitken, an Arm fellow; Raik Brinkmann, CEO of OneSpin Solutions; Patrick Soheili, vice president of business and corporate development at eSilicon; and Chris Rowen, CEO of Babblelabs. What follows are excerpts of that conversation. To view part one, click here. SE: How much of what goes wrong in machine learning depends on the algorithm being wrong... » read more

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