FB pixel

Always-on, low-power biometrics partnership formed by AIStorm and Tower Semiconductor

Enabling real-time machine learning performance
Categories Biometric R&D  |  Biometrics News  |  Trade Notes
 

future of AI

AIStorm and Tower Semiconductor have announced a new partnership focusing on the development of a new always-on edge imager technology.

Always-on imagers, which draw negligible power until an event like the presentation of a fingerprint or face biometric, a wake word, or a specific action is detected, can perform machine learning operations on the device after wake-up to eliminate the need for additional components, according to the company announcement.

As part of the collaboration, AIStorm’s new AI-in-imager products will incorporate AIStorm’s electron multiplication architecture and Tower’s Hi-K VIA capacitor memory, instead of digital calculations.

This will allow the components to perform artificial intelligence (AI) computation at the pixel level, as well as help manufacturers save on the silicon real estate, multiple die packaging costs, and power required by competing digital systems.

The Hi-K VIA capacitors will be built in the metal layers, to allow the AI to operate directly from the pixel matrix and retain optimal performance on both pixel density and size.

“This new imager technology opens up a whole new avenue of always-on functionality,” said Dr. Avi Strum, SVP of the sensors and displays business unit at Tower Semiconductor.

In traditional imager solutions, AI processors are usually placed outside the pixel matrix, causing always-on imaging solutions to continuously have to detect pixel changes and forward digital information to memory and an AI subsystem located outside the imager. This, in turn, results in numerous false alerts and high power consumption.

In AIStorm’s solution, however, electrons are multiplied directly instead of being converted to a digital number, thanks to Tower Semiconductor’s low-leakage VIA capacitor technology.

This capability for local AI pixel coupling introduces a new dimension to edge imaging, enabling an immediate, intelligent AI response to pixel changes for the first time.

“Instead of periodically taking a picture and interfacing with an external AI processor through complex digitization, transport, and memory schemes, AIStorm’s pixel matrix is itself the processor & memory,” Strum explained. “No other technology can do that.”

The edge imager market is worth $7 billion annually, the companies say.

Article Topics

 |   |   |   |   |   |   | 

Latest Biometrics News

 

Hawaii ID issue shows interoperability matters as digital IDs scale

By Albert Roux, EVP Product for Microblink Travelers at Hawaii airports recently experienced delays because valid state-issued IDs could not…

 

State Department moves to buy Clearview AI licenses for Colombia police

The U.S. State Department’s Bureau of International Narcotics and Law Enforcement (INL) at the U.S. Embassy in Bogotá, Colombia is…

 

Meta licensed ROC facial recognition, liveness for smart glasses project

Meta’s development of facial recognition for its smart glasses is drawing sharper scrutiny after reporting that the company licensed technology…

 

UK aims to lead the world with new age restrictions for social media, AI chatbots

After months of promises, the UK government has pulled the trigger on regulations to restrict social media sites for children…

 

Germany moves to allow police facial recognition searches of online images

Europe’s largest internet industry association, eco, has warned against Germany’s plan to allow its law enforcement agencies to run automated…

 

US senators propose curbs on AI-generated election deception

A group of Senate Democrats Thursday renewed a push to regulate the use of AI in federal elections, targeting both…

Comments

Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Biometric Market Analysis and Buyer's Guides

Most Viewed This Week

Featured Company

Biometrics Insight, Opinion

Digital ID In-Depth

Biometrics White Papers

Biometrics Events