Interpretability in machine learning (ML) is crucial for high stakes decisions and troubleshooting. In this work, we provide fundamental principles for interpretable ML, and dispel common misunderstandings that dilute the importance of this crucial topic.... (more…)

Use a custom object detection model to automatically track your inventory with Microsoft Azure IoT Central integration! By Jonathan Tan. (more…)

In episode five of Talking Machines, we hear the first part of our conversation with Geoffrey Hinton (Google and University of Toronto), Yoshua Bengio (University of Montreal) and Yann LeCun (Facebook and NYU). Ryan introduces us to the ideas in ten...

Due to the current horizontal business model that promotes increasing reliance on untrusted third-party Intellectual Properties (IPs), CAD tools, and design facilities, hardware Trojan attacks have become a serious threat to the semiconductor industry. De... (more…)

Training data is a collection of labeled information that’s used to build a machine learning model. It usually consists of text, images, video, or audio. (more…)