Notizie

AI start-ups huddle

AI start-ups Crossbar, Gyrfalcon Technology, Neural Networks Corporation and Robosensing are getting together to deliver an AI platform and standard for edge computing, gateways, cloud and data centers.

The group, called SCAiLE (SCalable AI for Learning at the Edge), is already working with Japanese authorities to review opportunities for the 2020 Olympics, including video-based event detection and response capability.

The organization will combine advanced acceleration hardware, resistive memory (ReRAM), optimized neural networks to create ready-made, power-efficient solutions with unsupervised learning and event recognition capability.


The consortium addresses the restrictions of traditional AI methodologies that depend on classification of data. The huge growth of IoT systems including thousands of remote edge devices such as sensor-equipped cameras creates a torrent of unstructured information in multiple forms that pours into cloud-located servers and that cannot be handled effectively by classification alone.

In contrast, SCAiLE aims to provide fast, scalable, and power-saving accelerators that use optimized neural networks at the edge to quickly analyze and respond to multi-modal information (including video, images, speech, keywords and sensor feeds).

The platform will enable distributed AI applications rather than a centralized cloud system with high latency.

The accelerators will rely heavily on new AI accelerator architectures developed by Gyrfalcon; Crossbar’s ReRAM memory; Neural Networks’ edge and IoT device technology; and Robosensing’s integration of neural network training and optimization.

The organization will ensure technical interoperability and quick integration of advanced technologies from SCAiLE members.