Matroid's deep-learning system comprising of 3D-CNN helps to automatically detect Glaucoma from a single raw Optical Coherence Tomography (OCT) scan. The results are close to human doctors across heterogeneous datasets and scanning environments.
ML at the edge is the main target in many IoT applications today. Learn why it is important to build energy-efficient embedded devices, and how to achieve it using cutting-edge technologies.
Using Artificial Intelligence (AI) to replace optical and mechanical components, researchers have designed a tiny spectrometer that breaks all current resolution records.
How do you help high-tech companies get the most out of AI? You should bring knowledge, new ecosystems, and cutting-edge technology together on ‘the smartest square kilometre’ in the world!
In this episode, we talk about how a machine learning algorithm that can predict what sequence of actions a volleyball player will take next is being used to create more effective human/machine interactions for safer autonomy in our lives.
Article #4 of the Enabling IoT Series. Industrial enterprises are moving to a new approach to asset management, namely predictive maintenance by leveraging powerful new sensors and data.
Article #3 of the "Why Edge?" Series. From soaring costs to dwindling resources, the energy and utility sectors face unprecedented challenges in the coming years.
Article #2 of the "Why Edge?" Series. Edge AI increases battery life, reduces latency, and in many cases, eliminates the need for cloud communication, making wearable devices more user-friendly and secure.
Someday autonomous vehicles and human-driven vehicles will share the road. How to manage the rise of AVs is the topic of a Carnegie Mellon policy brief.