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LiDAR - Light Detection And Ranging - is a super-hot technology, required by advanced driver assistance systems (ADAS) and robotic cars. That’s creating a demand – but there are only a few products now available, from Valeo and Velodyne among very few others, with the right specifications and robustness to be implemented in cars. The requested specifications are a moving target and camera module, radar system and car manufacturers are trying to avoid using today’s complex and immature systems. Below we discuss Yole Développement’s opinion on what will happen, which is based on our new report LiDARs for Automotive and Industrial Applications 2018.

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For decades, hardware and software have been sailing two different seas, only occasionally encountering each other in specific applications. But over the last few years, with the explosion of the internet of things (IoT), the emergence of artificial intelligence (AI) and the availability of great edge computing power, the links between software and hardware have got stronger.

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Facebook is building a team to design its own semiconductors, adding to a trend among technology firms to supply themselves and lower their dependence on chipmakers such as Intel and Qualcomm, according to job listings and people familiar with the matter. The social media firm is seeking to hire a manager to build an “end-to-end SoC/ASIC, firmware and driver development organization,” according to a job listing on its corporate website, indicating the effort is still in its early stages.

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Addressing challenging scenarios where existing vision and imaging stacks fail.
Algolux, the leading provider of machine-learning stacks for autonomous vision and imaging, is pleased to announce the closing of a USD $10M Series A funding round led by General Motors (GM) Ventures. The syndicate includes Drive Capital, Intact Ventures, and a follow-on investment from Real Ventures. The new capital will be used to advance the company’s ground-breaking technology and grow its global business development activities.

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Yole Développement’s (Yole) release of Sensors for Robotic Vehicles 2018 comes just as dramatic developments in this field have happened in Arizona and California. But we, at Yole would like to give another, different, view of the autonomous vehicle landscape at the start of 2018. We have made a few graphs from the 2017 Californian reports for when autonomous mode has been disengaged, and our analysis follows.

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Sensory focused on improving the user experience and security of consumer electronics through state-of-the-art embedded AI technologies, announced that it has made a significant breakthrough in running its TrulyHandsfree wake word and speech recognition AI engine directly on Android and iOS smartphone applications at low-power. As a software component, TrulyHandsfree can be adapted to any app without requiring special purpose hardware or DSPs to capture efficiencies in computing.

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Upcoming Events


> Embedded Vision Summit 2018
(May 21 - May 24, Santa Clara, USA)