category: Top Stories

category: IoT, Security & Automotive

$8.5B For Auto, IoT, Security Startups
By Jeff Dorsch - 08 Aug, 2018 - Comments: 0

Investors infused $4.9 billion into automotive-related startups, nearly $2.5 billion into IoT startups and almost $1.2 billion into cybersecurity startups so far in 2018, according to Semiconductor Engineering’s estimates of private funding in the first six months of 2018. Popular investments included companies using artificial intelligence, big data analytics, blockchain, machine learning... » read more

More Sigmas In Auto Chips
By Ann Mutschler - 02 Aug, 2018 - Comments: 0

The journey to autonomous cars is forcing fundamental changes in the way chips are designed, tested and tracked, from the overall system functionality to the IP that goes into those systems. This includes everything from new requirements for automotive-grade chips to longer mean time between failures. But it also makes it far more challenging, time-consuming and complicated to create these d... » read more

Why The IIoT Is Not Secure
By Kevin Fogarty - 02 Aug, 2018 - Comments: 0

The Internet of Things is famously insecure, but not because the technology to build it or secure it is immature. Likewise, severely insufficient security on the Industrial IoT suffers from a lack of will. Neither tech buyers nor providers have yet invested the same effort expended in other areas of the tech world to create and adopt steps that will make everyone safer, according to chipmakers ... » read more

Hardware Security Threat Rising
By Ed Sperling - 02 Aug, 2018 - Comments: 0

Martin Scott, senior vice president and CTO of Rambus, sat down with Semiconductor Engineering to talk about an increasing problem with security, what's driving it, and why hardware is now part of the growing attack surface. What follows are excerpts of that conversation. SE: With Meltdown and Spectre, the stakes have changed because the focus is not on using hardware to get to software. It'... » read more

Pros, Cons Of ML-Specific Chips
By Ed Sperling - 27 Jul, 2018 - Comments: 1

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. Part two is here. SE: Is the industry's knowledge of machine learning keeping up with th... » 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

Regulations Trail Autonomous Vehicles
By Kevin Fogarty - 09 Jul, 2018 - Comments: 0

Fragmented regulations and unrealistic expectations may be the biggest hurdles for chipmakers selling into the market for self-driving cars during the next few years. Carmakers and the semiconductor industry have made tremendous progress building real-time vision systems and artificial intelligence into relatively traditional automobiles during the past decade or so. But federal and state re... » read more

Security Holes In Machine Learning And AI
By Ed Sperling - 09 Jul, 2018 - Comments: 0

Machine learning and AI developers are starting to examine the integrity of training data, which in some cases will be used to train millions or even billions of devices. But this is the beginning of what will become a mammoth effort, because today no one is quite sure how that training data can be corrupted, or what to do about it if it is corrupted. Machine learning, deep learning and arti... » 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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