As a core building block of virtual reality (VR) and augmented reality (AR) technology, and with the rapid growth of VR and AR, 360° cameras are becoming more available and more popular. People now create, share and watch 360° content […]
Increasingly, perceptual AI is being used to enable devices and systems to obtain accurate estimates of object locations, speeds and trajectories. In demanding applications, this is often best done using a heterogeneous combination of sensors (e.g., vision, radar, LiDAR). In […]
Why did Keurig Dr Pepper—a $12B beverage company—spend years perfecting visual AI technology to recognize the type of beverages consumers are preparing in their Keurig brewers? Does computer vision really yield better coffee? What does it take to make sophisticated […]
The AIoT industry is expected to reach $1T by 2030—but that will happen only if edge devices rapidly become more intelligent. In this presentation, we’ll show how BrainChip’s Akida IP solution enables improved edge ML accuracy and on-device learning with […]
Until recently, the majority of sensor-based AI processing used vision and speech inputs. Recently, we have begun to see radar, LiDAR, event-based image sensors and other types of sensors used in new AI applications. And, increasingly, system developers are incorporating […]
NetsPresso is a development pipeline that enables developers to build, optimize and deploy vision AI models faster and better. Using conventional tools, it typically takes 6-12 weeks to select, train, optimize and deploy a vision DNN. Using NetsPresso, developers can […]
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