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 …
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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 …
Cars, Robots, and Smart Homes Progress with AI and Computer Vision
Every year we see amazing technology at CES including innovations in automotive, smart robots, drones, AR/VR, smart home appliances and …
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