News

Explore Perceive’s breakthrough hardware and software through our news and media coverage.

Perceive Recognized For Internet-of-Things Innovation in 7th Annual IoT Breakthrough Awards Program

We’re pleased to announce that Perceive has been selected as winner of the “IoT Semiconductor Product of the Year” award in the 7th annual IoT Breakthrough Awards.

[Forbes] Perceive AI Launches 2nd Edge AI Chip for Low Power Applications

Karl Freund, Founder and Principal Analyst at Cambrian-AI Research, writes about the launch of the Ergo 2 processor, noting the chip’s unique combination of performance, capability, and power-efficiency.

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

[EE Times] Perceive Runs Transformers at the Edge with Second-Gen Chip

Sally Ward-Foxton spoke with Perceive CEO Steve Teig for this article about the launch of the new Ergo 2 chip and the company’s overall approach, including the compression techniques enabling the chip’s performance and power-efficiency.

Awards

Videos

[Edge AI + Vision Alliance] Perceive Demonstration of Image Classification and Pose Detection using Ergo AI Processors

At the Edge AI + Vision Alliance Innovation Forum, Perceive VP of Marketing, David McIntyre shows off the capabilities of the Ergo 2 chip, running 17-key-point pose detection, using two neural networks at the same time but still operating at very low power.

[Embedded Vision Summit 2023] Making GANs Much Better, or If at First You Don’t Succeed, Try, Try, a GAN

May 23 @ 11:15 am - 11:55 am

In this talk at the 2023 Embedded Vision Summit, Perceive CEO Steve Teig will dissect generative adversarial networks (GANs) and explore new strategies to enhance their performance. Although they are widely used to create "fake" images and data, the results are often less diverse and useful than they could be. Steve will look at how GANs could be re-examined and refined to offer a greater range and more realistic generated images and datasets.

More Events

Perceive in the Media

March 13, 2023

[SemiWiki / Mixel] MIPI D-PHY brings images on-chip for AI inference

February 22, 2023

[Semiconductor Engineering] Semiconductor Engineering: Safety, Security, And Reliability Of AI In Autos

February 15, 2023

[ABI Research] Perceive Challenges Qualcomm and Ambarella and Crafts a Niche with Power Efficient Multi-Modal Edge AI Processor

February 15, 2023

[Semiconductor Engineering] AI’s Impact in Automobiles Remains Uncertain

February 2, 2023

[Semiconductor Engineering] Where and Why AI Makes Sense in Cars

Read 56 more articles

Company News

January 12, 2023