Image Processing and Computer Vision in One Package: A Logical Next Step
Computer vision on the edge is a good start but it isn’t enough. It needs to deal with distorted images …
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Ariel Hershkovitz
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Charles Pao
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Zeev Kaplan
Smart AI Assistants are the Real Enabler for Edge AI
AI at the edge will reduce overwhelming volumes of data to useful and relevant information on which we can act. A recent …
DMS Given Green Light to Increase Road Safety
The “Vision Zero” approach from the European Union (EU) includes the goal of bringing automotive fatalities and serious injuries down …
The Challenges for AR/VR to Go Mainstream
The right combination of image-processing performance and low power consumption is best achieved by specialized on-device vision and neural-network processors Some …
The rise of the machines: Why drones are tech leaders
Drones are big business, with Goldman Sachs recently forecasting the market will grow to $100 billion by 2020. These stellar …
Making Personal Robots Ubiquitous
I recently attended MWC Shanghai. Robots were big – very big. I saw dozens of companies, looking for customers to …
Mobile VR/AR/MR: Challenges Remain
Last year I shared my views on some of the challenges holding back mobile VR. I felt that while the hype …
Bringing Deep Learning to IoT Edge Devices
Machine learning is fast becoming a defining feature for the devices that have joined the internet of things (IoT). Home …
Why Some Embedded AI Processors Are Smarter than Others
Artificial intelligence on mobile devices is no longer dependent on a connection to the cloud. As evidenced by the hottest …
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