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Perceive

“Generative AI: How Will It Impact Edge Applications and Machine Perception?,” An Embedded Vision Summit Expert Panel Discussion

Sally Ward-Foxton, Senior Reporter at EE Times, moderates the “Generative AI: How Will It Impact Edge Applications and Machine Perception?” Expert Panel at the May 2023 Embedded Vision Summit. Other panelists include Greg Kostello, CTO and Co-Founder of Huma.AI, Vivek Pradeep, Partner Research Manager at Microsoft, Steve Teig, CEO of Perceive, and Roland Memisevic, Senior […]

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“Making GANs Much Better, or If at First You Don’t Succeed, Try, Try a GAN,” a Presentation from Perceive

Steve Teig, CEO of Perceive, presents the “Making GANs Much Better, or If at First You Don’t Succeed, Try, Try a GAN” tutorial at the May 2023 Embedded Vision Summit. Generative adversarial networks, or GANs, are widely used to create amazing “fake” images and realistic, synthetic training data. And yet, despite their name, mainstream GANs

“Making GANs Much Better, or If at First You Don’t Succeed, Try, Try a GAN,” a Presentation from Perceive Read More +

Perceive Demonstration of Image Classification and Pose Detection using Ergo AI Processors

David McIntyre, Vice President of Marketing for Perceive, demonstrates the company’s latest edge AI and vision technologies and products at the March 2023 Edge AI and Vision Innovation Forum. Specifically, McIntyre demonstrates the unique combination of capability and power-efficiency delivered by the Perceive Ergo and Ergo 2 AI processors. McIntyre shows the Ergo chip running

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Perceive Launches Ergo 2 AI Processor with Unmatched Combination of Performance and Power Efficiency

Ergo 2 enables even larger, more complex neural networks inside edge devices, including transformer networks for language and imaging, while drawing less than 100 milliwatts of compute power January 3, 2023 – Today, Perceive® unveiled a faster, more powerful addition to the Ergo® product line. The new Ergo 2 AI processor provides the performance needed

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Free Webinar Explores Compression Techniques For Running Deep Learning Networks on Constrained Hardware

On November 10, 2022 at 9 am PT (noon ET), Steve Teig, Founder and CEO of Perceive, will present the free one-hour webinar “Putting Activations on a Diet – Or Why Watching Your Weights Is Not Enough,” organized by the Edge AI and Vision Alliance. Here’s the description, from the event registration page: To reduce

Free Webinar Explores Compression Techniques For Running Deep Learning Networks on Constrained Hardware Read More +

“Are Neuromorphic Vision Technologies Ready for Commercial Use?,” An Embedded Vision Summit Expert Panel Discussion

Sally Ward-Foxton, European Correspondent for EE Times, moderates the “Are Neuromorphic Vision Technologies Ready for Commercial Use?” Expert Panel at the May 2022 Embedded Vision Summit. Other panelists include Garrick Orchard, Research Scientist at Intel Labs, James Marshall, Chief Scientific Officer at Opteran, Ryad Benosman, Professor at the University of Pittsburgh and Adjunct Professor at

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“Facing Up to Bias,” a Presentation from Perceive

Steve Teig, CEO of Perceive, presents the “Facing Up to Bias” tutorial at the May 2021 Embedded Vision Summit. Today’s face recognition networks identify white men correctly more often than white women or non-white people. The use of these models can manifest racism, sexism, and other troubling forms of discrimination. There are also publications suggesting

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“TinyML Isn’t Thinking Big Enough,” a Presentation from Perceive

Steve Teig, CEO of Perceive, presents the “TinyML Isn’t Thinking Big Enough” tutorial at the May 2021 Embedded Vision Summit. Today, TinyML focuses primarily on shoehorning neural networks onto microcontrollers or small CPUs but misses the opportunity to transform all of ML because of two unfortunate assumptions: first, that tiny models must make significant performance

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“Accuracy: Beware of Red Herrings and Black Swans,” a Presentation from Perceive

Steve Teig, CEO of Perceive, presents the “Accuracy: Beware of Red Herrings and Black Swans” tutorial at the September 2020 Embedded Vision Summit. Machine learning aims to construct models that are predictive: accurate even on data not used during training. But how should we assess accuracy? (Hint: simply computing the average error on a pre-determined

“Accuracy: Beware of Red Herrings and Black Swans,” a Presentation from Perceive Read More +

“The Opportunities and Challenges in Realizing the Potential for AI at the Edge: An Update from the Front Lines,” An Embedded Vision Summit Expert Panel Discussion

Samir Kumar, Managing Director at Microsoft M12, moderates the “Opportunities and Challenges in Realizing the Potential for AI at the Edge: An Update from the Front Lines” Expert Panel at the September 2020 Embedded Vision Summit. Other panelists include Pete Warden, Staff Research Engineer at Google; Stevie Bathiche, Technical Fellow at Microsoft; Steve Teig, CEO

“The Opportunities and Challenges in Realizing the Potential for AI at the Edge: An Update from the Front Lines,” An Embedded Vision Summit Expert Panel Discussion Read More +

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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