The power of Artificial Intelligence / Machine Learning doesn’t have to be restricted to solutions that require the power of cloud based Graphic Processing Unit (GPU) server farms. Trained Convolutional Neural Network (CNN) model can instead be embedded into an app on a personal device, such as ordinary mobile smartphone. This presentation will introduce the audience to the basics of neural networks, explain why convolutional neural networks are used for object recognition, and will walk you through the required high level steps of training a specific real-time object recognition CNN and embedding it into the demo mobile phone app. The presentation will also include a live demo of the prototype app for digital ‘money counting’, which requires no internet connection and no cloud servers, as all object recognition and classification is done in real-time, 100% locally by the phone CPU and off-line. The perfect example of innovation which is pushing the boundaries of Artificial Intelligence, Machine Learning and Neural Networks to the new level and showing the Art Of Possible.
Most people need loans to make life’s biggest purchases – house, education, car and so much more. But not everyone has equal access to lending. Discrimination based on race, ethnicity, sex and/or religion is a huge concern. On the other hand, AI can also be perceived as a threat within the lending market. Will it compromise security? Will it be ethical? Will it be just as biased as humans can be? This conference offers a 360-degree view of the potential and challenges of democratizing credit with AI.