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.

NeuroMem is yet another brain-inspired chip, but it is shipping

NeuroMem is yet another brain-inspired chip, but it is shipping

In today’s landscape of Artificial Intelligence, Deep Learning and its numerous inference engines are monopolizing the front stage, but other technologies have essential benefits such as field training and real-time adaptivity, novelty detection, learning causality and traceability.

Among them, the NeuroMem NM500 chip is a digital neural network chip capable of intrinsic learning and recognition of patterns derived from multimedia such as images and sounds, but also instruments, text and other data types. Manufactured by nepes (Korea) under a license from General Vision, the NM500 features 576 neurons which can be trained on small datasets and cleverly tuned to deliver the best compromise between throughput and accuracy for a given application. For example, one may prefer to train a NeuroMem network acknowledging when it is uncertain or even ignorant rather than guessing or reporting a “closest” match which can still be quite far. This is made possible when the neurons are used as a Radial Basis Function classifier, and not as the commonly known K-Nearest Neighbor. It is this notion of ignorance and uncertainty which can trigger the intelligent decision to learn more or to have the wise recourse to another opinion. By combining multiple NeuroMem networks (or experts) trained differently on the same subject, accurate decisions can be made taking advantage of their complementarity or their domains of mutual exclusivity.

To experiment with NeuroMem networks, General Vision’s NeuroMem Knowledge Builder is a simple framework to train and test the neurons on your datasets while producing rich diagnostics. The company also offers simple APIs and tools for generic pattern recognition as well as image recognition. They all integrate a cycle accurate simulation of 8000 neurons and can also interface to a hardware NeuroMem network such as the Brilliant USB dongle (2304 neurons), the Arduino-compatible NeuroShield board (576 neurons) with expandable network capacity, and soon a cognitive SSD with high speed throughput and high network capacity. In addition to the NM500 chip, NeuroMem is available as an IP core for FPGAs from Xilinx, Altera and Lattice and also for licensing.

IOT wanted: AI at end points

IOT wanted: AI at end points

General Vision was invited to participate to a webcast organized by QuickLogic on a new AI Ecosystem targeting end points. Indeed, with the advent of Industry 4.0 and the proliferation of IoT, there is a need to make devices that process sensor data and make decisions locally. Traditional machine learning algorithms are too memory and power hungry to migrate AI to endpoints with constrained battery life. This calls for NeuroMem neurons with zero latency, low power, low cost and easy to train.

Among the participants were nepes, manufacturer of the NeuroMem NM500 chip, and SensiML, developer of smart sensor algorithms. During his speech, Guy Paillet, CEO of General Vision, emphasized the synergy between the NeuroMem trainable neurons and eFPGAs to design ultra low-power and adaptive search engines. QuickLogic introduced their Quick AI HDK platform integrating their EOS SOC and a network of 2 NM500 chips.