Week In Review: IoT, Security, Autos


Internet of Things Sensors that see in the dark, look deep into our faces and hear the impossible, were all part of ams’ CES lineup this week. ams announced that it has designed an advanced spectral ambient light sensor (ALS) for high-end mobile phone cameras. The ALS, called the AS7350, identifies the light source and makes an accurate white balance under low-light and other non-ideal condi... » read more

Automotive E/E Architectures Are Key To Continued Innovation


Modern vehicles commonly are described as “computers-on-wheels” due to the recent explosion of computing power and electronic features manufacturers are equipping in their vehicles. The world’s first automobiles were relatively simple, and entirely mechanically operated. The first automotive electrical components were not even available until the 1930s, when manufacturers began offering v... » read more

Auto Industry Shifts Gears On Where Data Gets Processed


In-vehicle processing is becoming a major challenge in automotive electronics due to the massive amount of data being generated by sensors — especially cameras — and the rapid response time required to avoid accidents. The initial idea that all data could be sent to the cloud for processing has been shelved, most likely permanently. In its place is a growing recognition that data needs t... » read more

Can Germany’s Auto Industry Keep Pace?


Germany's strength for the past half-century has been its automotive industry. The big question now is whether that also will become its biggest vulnerability. Challenged on all fronts by fundamental shifts in automotive technology, the German auto industry is struggling to transform itself from precision metal bending to advanced electronics, and so far its future in the face of competitors... » read more

Using Hypervisor For IVI And AUTOSAR Consolidation On An ECU


Current approaches used to tackle the complexities described earlier in this paper (cockpit domain units) are both cost-prohibitive and lacking in performance. Utilizing virtualization in automotive software architecture provides a better approach when taking on these complexities. This can be achieved by encapsulating different heterogeneous automotive platforms inside virtual machines running... » read more

Blog Review: Jan. 8


Synopsys' Taylor Armerding digs into the privacy and security concerns surrounding connected toys and argues that the current practice of consumers bearing much of the burden to determine what is safe is not viable. In a podcast, Mentor's John McMillan looks back at the past decade in technology and what the next may hold in store as areas like AI and automotive get going. Cadence's Madha... » read more

EDA, IP Growth Surge


EDA and IP grew 8.9% in Q3 of 2019, according to a just-released report, indicating continued confidence in semiconductor growth. Total revenue was up 8.9% globally compared with the same period in 2018, but that number is deceptively low. Revenue in China, for example, increased 5.7% compared to the same quarter in 2018, despite trade restrictions on sales of any IP developed in the United ... » read more

CEO Outlook: 2020 Vision


The start of 2020 is looking very different than the start of 2019. Markets that looked hazy at the start of 2019, such as 5G, are suddenly very much in focus. The glut of memory chips that dragged down the overall chip industry in 2019 has subsided. And a finely tuned supply chain that took decades to develop is splintering. A survey of CEOs from across the industry points to several common... » read more

Improving Algorithms With High-Level Synthesis


Most computer algorithms today are developed in high-level languages on general-purpose computers. But someday they may be deployed in embedded systems where the development, verification, and validation of algorithms is done in languages like python, Java, C++, or even numerical frameworks like MatLab. This is the goal of high-level synthesis (HLS), and it aims to solve a fundamental proble... » read more

Week In Review: Design, Low Power


M&A Intel acquired Habana Labs, a maker of programmable deep learning accelerators for the data center, for approximately $2 billion. Based in Israel, Habana was founded in 2016 but only emerged from stealth in September 2018 with the release of its first inference chip. Intel's VC arm, Intel Capital, previously invested in the startup. Intel has made numerous M&A moves in the AI space... » read more

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