Meeting the challenges of edge AI
AI is becoming an increasingly popular technology, finding uses in more and more applications in sectors such as automotive, vision …
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Editors
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Ariel Hershkovitz
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Ben Weiss
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Charles Pao
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Dan Mackrantz
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David Pereira
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Elia Shenberger
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Franz Dugand
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Gil Abraham
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Gunn Salelanonda
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Guy Givoni
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Guy Keshet
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Ido Gus
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Jeff VanWashenova
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Moshe Sheier
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Nir Shapira
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Ofer Shahen Tov
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orileibovich
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Paddy McWilliams
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Richard Kingston
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Roni Sadeh
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Sharon Berlowitz
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Shay Adar
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Tal Shalev
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Tomer Yablonka
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Yair Siegel
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Youval Nachum
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Zeev Kaplan
Buckle Up for More Mandated Driver Assistance
Autonomous vehicles will be a great thing – someday. But governments and regulators don’t want to wait until ‘someday’ to …
AI at the Edge – Raise Your Expectations
Have we settled for what we think is possible in AI at the edge, rather than what we really want? …
Setting Up Sensor Fusion
An accepted reality for sensors is that they’re most effective when they work together. This is particularly true for SLAM …
Shifting Up to a New Level of Edge AI
The evolutionary phase of technologies is a familiar place, and AI, the prime technology of recent years, is no different. …
Sensors, sensors everywhere. Now what do I do?
Mobile computing has driven an explosion in product opportunities – smartphones, wearables, hearables, sports cameras, and more. Sensing will further …
Optimizing AI for embedded applications
In my previous blog I talked about how demand for AI-based interfaces has become almost unavoidable—and that adding an AI-based interface …
Home Surveillance and Security Without the Hassle
Fisheye dewarping with no need to install an app: this solution works directly with the WebGL API and on popular …
SLAM and Multi-Sensing Robots: Soon in Every Home
Robotics, for many of us, is still an application mostly limited to the factory or warehouse floor. We see media …
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