MPAI after MPEG

MPAI after MPEG

Moving Picture, Audio and Data Coding by Artificial Intelligence (MPAI) is born with the mission of taking advantage of Artificial Intelligence to define data coding standards. The NeuroMem neurons are perfect candidates to develop these standards with use models including non supervised annotation, novelty detection and classification without duplication, data modeling and compression.

The MPAI community is no less than the successor of MPEG and founded by the same Leonardo Chiariglione. Guy Paillet, president of General Vision, is honored to have been invited by Mr.  Chiariglione to join MPAI as a board member and Vice President.

MPAI Community

Stay tune to hear more about the process of the community.

Smallest smart sensor hub with real-time learning

Smallest smart sensor hub with real-time learning

NeuroTile is a complete IOT solution to monitor motion, temperature and audio signals, relying on a single or multiple NeuroMem neural networks for the learning,  classification and anomaly detection, and using an STM32 microcontroller for the selective storage of data or its transmission over low-power BLE.

General Vision is expanding the NeuroTile library to support additional external sensors including a camera, thus turning it into the ideal platform for Neurotile is a comprehensive IOT platform for the condition monitoring of humans and machines, as well as smart instrumentation and prediction.

Advocating for and getting close to cognitive storage

Advocating for and getting close to cognitive storage

General Vision is an advocate of in-storage analytics which will bring more security and lower power consumption by  eliminating the need to transfer datasets back and forth between their location of storage and servers doing cloud analytics. We believe that NeuroMem chips are enablers for the integration of analytics inside solid state storage and are pleased to announce that our patent labeled “Cognitive Storage Device” is not published and pending issuance.

Neurons pit and stuff olives accurately

Neurons pit and stuff olives accurately

A Spanish team selects a NeuroMem network to help pit and stuff olives accurately, improving quality and reducing waste. This collaborative study involves four major universities in Spain and proves again the power and simplicity of our neurons to solve industrial IOT applications. The system features a PC, camera and PLC, and a NeuroMem network which handles the difficult task of classifying the shiny olives as they roll on a belt. Read the entire publication.

Note that the CM1K chip mentioned in the paper has reached its end of life, but its successor, the NM500, is composed of the same neurons and controlled with the library of registers. A  firmware version of the neurons is also available for FPGA.