Adding Low-Power AI/ML Inference to Edge Devices

Artificial intelligence and machine learning (AI/ML) offer the unparalleled ability to recognize complex patterns and make decisions quickly. Consequently, companies are quickly adding AI/ML inference capabilities to a wide range of products—and there are many chip vendors in the market ready to help.

MemryX Inc. Announces Strategic Partnership with Nota.ai to Accelerate Deployment of AI Algorithms on MemryX’s Advanced AI Chips

MemryX’s edge AI chips have broad application in the transportation, IoT, robotic, industrial, and edge computing industries. They feature high-performance and low-latency AI processing using a proprietary at-memory computing and dataflow architecture. Developers can now leverage Nota.ai’s software platform to search, compress and automatically deploy artificial intelligence models on MemryX edge AI processors.

MemryX: The Leader of Simple and Scalable Edge AI

Edge AI plays a vital role in ensuring real-time data processing and ensuring high-performance data computation on IoT devices. However, most Edge AI solutions available in the market require tremendous configuration during implementation, and they are also not scalable.

MemryX Inc. opens R&D center in Bangalore, India – advancing simple and scalable processing solutions for Edge AI

The opening of the Bangalore site is complementary to existing MemryX engineering capabilities in Taipei, Hsinchu, and Ann Arbor. MemryX offers a differentiated high efficiency, low power, and scalable Edge AI solution that is easy to deploy, benefitting both designers and end users. End applications for MemryX’s technology include surveillance cameras, automobiles, industrial IoT, and metaverse applications.