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A New Approach to Computation Reimagines Artificial Intelligence: Hyperdimensional Computing

Quanta magazine thinks there s a better alternative to the artificial neural networks (or ANNs) powering AI systems. (Alternate URL)

For one, ANNs are "super power-hungry," said Cornelia Fermüller, a computer scientist at the University of Maryland. "And the other issue is [their] lack of tran. ....

United States , Bruno Olshausen , Cornelia Ferm , University Of Maryland , University Of California ,

Quanta Magazine

Quanta Magazine
quantamagazine.org - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from quantamagazine.org Daily Mail and Mail on Sunday newspapers.

United States , Cornelia Ferm , Pentti Kanerva , Bruno Olshausen , University Of California , Redwood Center , University Of Maryland , Theoretical Neuroscience ,

Companies team to provide lowest-power IoT person detection


Companies team to provide lowest-power IoT person detection
Maxim Integrated Products and Aizip Inc have announced that Maxim’s MAX78000 neural-network microcontroller detects people in an image utilising Aizip’s Visual Wake Words (VWW) model at only 0.7mJ of energy per inference. This is 100 times lower than conventional software solutions and the most economical and efficient IoT person-detection solution currently available. The low-power network offers longer operation for battery-powered IoT systems that need human-presence detection, including building energy management and smart security cameras.
The MAX78000 low-power, the neural-network accelerated microcontroller executes AI inferences at lower than 1/100th the energy of conventional software solutions to significantly increase run-time for battery-powered edge AI applications. The mixed precision VWW network is part of the Aizip Intelligent Vision Deep Neural Network series for image and video applications a ....

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Maxim Integrated Teams with Aizip to Provide Lowest-Power IoT Person Detection


For details about Maxim Integrated s MAX78000 microcontroller, visit http://bit.ly/MAX78000Detection
For details about Aizip s VWW model, visit https://www.aizip.ai
Watch a video demonstration of the IoT person-detection network at http://bit.ly/DetectVideo
The MAX78000 low-power, neural-network accelerated microcontroller executes AI inferences at less than 1/100th the energy of conventional software solutions to dramatically improve run-time for battery-powered edge AI applications. The mixed precision VWW network is part of the Aizip Intelligent Vision Deep Neural Network (AIV DNN) series for image and video applications and was developed with Aizip s proprietary design automation tools to achieve greater than 85 percent human-presence accuracy. ....

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