Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
Video
From Models of Language Understanding to Agents of Language Use
Neural network-style algorithms and architectures have recently been applied to achieve notable improvements to various language applications. However, when it comes to general language understanding, the performance of these models is still far from human-like.…
Video
Deep Compression, DSD Training and EIE: Deep Neural Network Model Compression, Regularization and Hardware Acceleration
Neural networks are both computationally intensive and memory intensive, making them difficult to deploy on mobile phones and embedded systems with limited hardware resources. To address this limitation, this talk first introduces “Deep Compression” that…
Video
Skrybe: Designing Features to Improve Real-Time Captioning for Deaf & Hard of Hearing Students
Today, real-time captioning services enable deaf and hard of hearing (DHH) students to participate in classes with hearing students and teachers. However, these services were not designed specifically with DHH students in mind. Current solutions…
Publication
A Persona-Based Neural Conversation Model
Publication
Camera Calibration: a Personal Retrospective
Publication
AI in Support of People and Society
Group
Aerial Informatics and Robotics Group
The Aerial Informatics and Robotics (AIR) group builds intelligent and autonomous flying agents that are safe and enable applications that can positively influence our society. Our core technology builds upon cutting edge research in machine…
Video
Session three – Artificial Intelligence and Machine Learning in Cambridge 2016
14:00-14:20 Jes Frellsen, University of Cambridge Bayesian generalised ensemble Markov chain Monte Carlo 14:20-14:40 Adam Scibior, University of Cambridge Probabilistic programming with effect systems 14:40-15:00 Andy Gordon, Microsoft Research Fabular: Regression Formulas as Probabilistic Programming…