TeraDeep develops Machine Learning / Deep Learning for computer vision analytics. We bring the power of cloud-based Convolutional Neural Networks to IoT and Embedded devices. We craft and train neural networks to run efficiently in your products and provide real-time complex-data vision analytics. Our platform is a clever combination of cloud-based machine-learning algorithms, deep learning neural network software running on embedded devices and mobile apps to visualize the analytics. Our capabilities include: visual scene understanding, content tagging, object detection / recognition / localization in videos, images, audio and speech.

TeraDeep in the News

  • A startup called TeraDeep says it’s working on deep learning algorithms that can run on traditional ARM and other mobile processor platforms. ..... TeraDeep, however, hopes to take things a step further by releasing a line of deep learning modules can be embedded directly into other connected devices, as well. GIGAOM
  • What happens when you combine IoT and Deep Learning Re.Work
  • Researchers from Purdue University are working to commercialize designs for a chip to help mobile processors make use of the AI method known as deep learning. MIT Technology Review
  • Purdue University researchers are developing a neural-networking chip, whose underlying artificial intelligence technology could be used by leading manufacturers to add image-recognition capabilities to mobile devices. FierceWirelessTech
  • Looking even farther out, Eugenio Culurciello of Teradeep advocates a hardware approach to deep learning aimed at maximizing the power efficiency of DNN in mobile devices. David Moloney, MOVIDIUS