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The automotive sector is transitioning to software-defined vehicles, focusing on unified compute solutions for central processing, zonal architectures, in-cabin sensing, and digital cockpits. With AI/ML enhancing vehicle functionalities, cars are becoming akin to mobile devices, especially as we advance towards autonomous… Read More
Even for experienced technologists some technologies can seem almost indistinguishable from magic. One example is the bird’s eye camera view available on your car’s infotainment screen. This view appears to be taken from a camera hovering tens of feet above your car. As an aid to parallel parking, it’s a brilliant invention; … Read More
While sensor-based control and activation systems have been around for several decades, the development and integration of sensors into control systems have significantly evolved over time. Early sensor-based control systems utilized basic sensing elements like switches, potentiometers and pressure sensors and were … Read More
Automotive engineers are familiar with the ISO 26262 standard, as it defines a process for developing functional safety in electronic systems, where human safety is preserved as all of the electronic components are operating correctly and reliably. Automotive electronics have now grown to cover dozens of applications, and… Read More
It’s popular to use DSP chips for vision processing in diverse applications like ADAS, security cameras and AR. Tensilica has been designing DSP chips and IP since 1997, and their technology was successful enough that Cadence acquired Tensilica back in 2013. At the IP-SoC Silicon Valley 2022 event in April I had the pleasure… Read More
The Linley spring conference this year had a significant focus on AI at the edge, with all that implies. Low power/energy is a key consideration, though increasing performance demands for some applications are making this more challenging. David Bell (Product Marketing at Tensilica, Cadence) presented the Tensilica NNE110… Read More
Earbuds are one of the fastest growing market segments, which is creating the need for audio DSPs with higher performance and a smaller energy footprint. More than just being wireless speakers – earbuds, and wearables for that matter, have become a sophisticated extension of the user interface of phones and laptops, etc.… Read More
During his keynote address at the CadenceLIVE 2021 conference, CEO Lip-Bu Tan made some market trend comments. He observed that most of the data nowadays is generated at the edge but only 20% is processed there. He predicted that by 2030, 80% of data is expected to be processed at the edge. And most of this 80% will be processed on edge… Read More
Being engrossed in the digital information world, it is easy to forget that the real world is comprised of mostly analog signals and data. Digital Signal Processors (DSP) take digitized forms of these worldly signals and manipulate them mathematically. Although floating-point is a more relevant and accurate way of representing… Read More
In all the hubbub about AI/ML, it’s easy to see why visual ML gets more attention. It’s got appeal because of applications such as autonomous driving. Because of this it’s easy to overlook the importance of audio ML. I own a Tesla and putting it into autopilot is very cool, but even it has voice recognition built in as an important feature… Read More
