Kinara AI Develops Specialized Learning Processors for AI
Colin Smith — September 20, 2023 — Tech
References: kinara.ai
Kinara AI is a is a startup company formerly known as 'Deep Vision' that develops specialized deep learning processors for edge AI applications. The company’s flagship product is the ARA-1 processor, which is based on a patented Polymorphic Dataflow Architecture that can handle varied dataflows and minimize on-chip data movement. The ARA-1 processor provides the optimal balance of compute, memory, energy efficiency, and ultra-low latency in a compact form factor. The processor can run multiple models simultaneously, without a performance penalty, and deliver high accuracy outcomes and rich data insights. Kinara AI also provides a software development kit (SDK) that simplifies the workflow of migrating models from training to production, and supports computationally complex inference applications.
Edge AI is the emerging field of applying artificial intelligence to devices and applications that operate at the edge of the network, where data is generated and consumed. Edge AI enables faster, more efficient, and more secure processing of data, without relying on cloud or data center resources. Edge AI solutions can be used for various purposes, such as smart cameras, sensors, autonomous vehicles, robotics, and edge servers.
Image Credit: Kinara
Edge AI is the emerging field of applying artificial intelligence to devices and applications that operate at the edge of the network, where data is generated and consumed. Edge AI enables faster, more efficient, and more secure processing of data, without relying on cloud or data center resources. Edge AI solutions can be used for various purposes, such as smart cameras, sensors, autonomous vehicles, robotics, and edge servers.
Image Credit: Kinara
Trend Themes
1. Edge AI - The emerging field of applying artificial intelligence to devices and applications that operate at the edge of the network, enabling faster, more efficient, and more secure processing of data.
2. Dedicated Edge AI Processors - Specialized deep learning processors developed for edge AI applications, which provide optimal balance of compute, memory, energy efficiency, and ultra-low latency in a compact form factor.
3. Migration From Training to Production - A software development kit (SDK) that simplifies the workflow of migrating models from training to production, supporting computationally complex inference applications.
Industry Implications
1. Internet of Things (iot) - The interconnected network of physical devices embedded with sensors and software, which can benefit from edge AI solutions for faster and more efficient data processing.
2. Computer Vision - The field of computer science that focuses on developing techniques for analyzing, processing, and interpreting visual data, which can utilize dedicated edge AI processors for enhanced performance.
3. Autonomous Vehicles - Self-driving vehicles that rely heavily on edge AI solutions and dedicated processors for faster and more accurate data processing, ensuring safety and efficiency on the road.
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