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
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 …
Mastering embedded AI
The appeal of putting AI in embedded applications is obvious, for example using face-id to authorize access to machine controls …
How CEVA uses TensorFlow Lite for Always-On Speech Recognition on the Edge
CEVA is a leading licensor of wireless connectivity and smart sensing technologies. Our products help OEMs design power-efficient, intelligent and connected …
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 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 …
To Centralize or Distribute – That is The Question
Director of Automotive Market Segment, CEVA. Jeff is utilizing his fifteen years of experience in the automotive industry to expand …
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