MEMS sensors play a huge role in intelligent systems these days. Mobile and IoT devices would essentially be blind if not for the rich variety of MEMS sensors integrated into them. The MEMS sensor market is growing rapidly, topping $10B in 2016 and slated to exceed $20B by 2020. MEMS is also growing in the RF market, where they are providing… Read More
Machine Learning Neural Nets and the On-Chip Network
Machine learning (ML), and neural nets (NNs) as a subset of ML, are blossoming in all sorts of applications, not just in the cloud but now even more at the edge. We can now find them in our phones, in our cars, even in IoT applications. We have all seen applications for intelligent vision (e.g. pedestrian detection) and voice recognition… Read More
ARM and embedded SIM
It seems that a hot ticket at Mobile World Congress this year was embedded SIM announcements. As a reminder of why this space is hot, cellular communication for provisioning and data uploads is a very real option for many IoT devices. In agricultural, smart energy and asset tracking applications for example, near-range options… Read More
An AI assist for 5G enhanced Mobile Broadband for mobile platforms
If you’re not up-to-speed on 5G, there are three use-cases: eMBB(enhanced mobile broadband) for mobile platforms (Gbps rates, immersive gaming, VR, AR – spectrum usage also extends up to mmWave, but that’s a different topic), mMTCfor massive machine type communication (ultra-low cost, ultra-low power, very dense networks)… Read More
A Development Lifecycle Approach to Security Verification
We have become accustomed to the idea that safety expectations can’t be narrowed down to one thing you do in design. They pervade all aspects of design from overall process through analysis, redundancies in design, fault analytics and mitigation for faults and on-board monitors for reliability among other requirements and techniques.… Read More
CEVA ClearVox Simplifies Voice Pickup
Voice-based control is arguably becoming another killer app, or killer app-enabler in the very significant shifts we are seeing in automation. After a bumpy start in car feature control (for navigation, phone calls, etc) and early smartphone “intelligent” assistants, voice-based interfaces now seem to be maturing into a genuinely… Read More
CEVA Ups the Ante for Edge-Based AI
AI is quickly becoming the new killer app and everyone is piling on board as fast as they can. But there are multiple challenges for any would-be AI entrepreneur:
- Forget about conventional software development; neural nets require a completely different infrastructure and skill-sets
- More and more of the interesting opportunity
CEVA and Local AI Smarts
When we first started talking about “smart”, as in smart cars, smart homes, smart cities and the like, our usage of “smart” was arguably over-generous. What we really meant was that these aspects of our daily lives were becoming more computerized and connected. Not to say those directions weren’t useful and exciting, but we weren’t… Read More
Tensilica Vision P6 DSP is Powering Huawei Kirin 970 Image
Cadence has recently announced two key design-in for their Vision DSP IP family: MediaTek’s Helio P30 integrates the Tensilica Vision P5 DSP and HiSilicon has selected the Cadence® Tensilica® Vision P6 DSP for its 10nm Kirin 970 mobile application processor. The Kirin 970 being integrated into Huawei’s new Mate 10 Series mobile… Read More
Webinar: High-Capacity Power Signoff Using Big Data
Want to know how NVIDIA signs off on power integrity and reliability on mega-chips? Read on.
PPA over-design has repercussions in increased product cost and potential missed schedules with no guarantee of product success. Advanced SoCs pack more functionality and performance resulting in higher power density, but traditional… Read More
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