Computer vision is an interdisciplinary field that deals with how computers can be made for gaining high-level understanding from digital images or videos. From the perspective of engineering, it seeks to automate tasks that the human visual system can do. Country: China Funding: $1.6B SenseTime develops face recognition technology that can be applied to payment and picture analysis, which could be used, for instance, on bank card verification and security systems. Country: China Funding: $607M Megvii develops Face Cognitive Services - a platform offering computer vision technologies that enable your applications to read and understand the world better. Face allows you to easily add leading, deep learning-based image analysis recognition technologies into your applications, with simple and powerful APIs and SDKs.

Hardware, specifically designed for machine learning accelerate training and performance of neural networks and reduce the power consumption. Country: UK Funding: $310M Graphcore is a semiconductor company that develops accelerators for AI and machine learning. It aims to make a massively parallel Intelligent Processing Unit that holds the complete machine learning model inside the processor. Wave Computing is developing the Wave Dataflow Processing Unit (DPU), employing a disruptive, massively parallel dataflow architecture. When introduced, Wave's DPU-based solution will be the world's fastest and most energy efficient deep learning computer family.

AI can be used to automate software coding and testing. By emulating the human eye and brain, our AI-powered image comparison technology only reports differences that are perceptible to users and reliably ignore invisible rendering, size and position differences. Our algorithms can instantly validate entire application pages, detect layout issues, and process the most complex and dynamic pages. No calibration, training, tweaking or thresholding required on your part. Country: USA Funding: $29.5M Engineer.ai is a human-assisted AI that empowers everyone to independently build and operate tech products through two products that work together to be their virtual engineering team.