Explore Perceive’s breakthrough hardware and software through our news and media coverage.
Our VP of Marketing, David McIntyre, recently had a conversation with Stacey Higginbotham on “The Internet of Things” podcast about the current and future opportunities for smart edge devices.
To get a pulse on the state of the smart home in this seemingly pivotal moment, Perceive conducted an online survey of 2,000 adults in the US and Canada. What we found is that, while the surge in adoption is exciting, today’s bar for smart home technology is still too low.
In this article for EE Times, Sally Foxton-Ward speaks with Steve Teig, Perceive’s CEO, about how attention-based neural networks can be applied to computer vision.
Facial recognition networks have demonstrated disproportionately poor results in identifying women or people of color. The use of discriminatory models leads to results that may be racist, sexist, or biased in other ways.
At the Embedded Vision Summit, Perceive CEO Steve Teig spoke about the issues around poor statistical reasoning that contribute to these biased results, and explored how models can be trained in ways that can mitigate bias.More Videos
March 31, 2021
Perceive Study Reveals Many Consumers Struggle to See the Value in Smart Home Devices Despite Optimism for the FutureRead More
March 15, 2021Read More
January 25, 2021Read More
December 15, 2020
[CES 2021] Perceive Named as a CES 2021 Innovation Awards Honoree for Ergo, its Breakthrough Edge Inference SolutionRead More
May 11, 2022Read More
September 24, 2021
[Counterpoint Research] Podcast: How a Low-Power Edge AI Chip Company is Driving Intelligence in Consumer DevicesRead More
August 30, 2021Read More
August 10, 2021Read More