Series
Artificial Intelligence
Parrot, an AI-powered transcription platform that turns speech into text, raises $11M Series A
Artificial intelligence touches many features of skilled industries, including medicine, legal, business, information technology and more. AI-powered transcription service is one example that has develop into an integral a part of those fields. Â
Parrot, a...
Artificial Intelligence
Adam Asquini, Director Information Management & Data Analytics at KPMG – Interview Series
Adam Asquini is a Director of Information Management & Data Analytics at KPMG in Edmonton. He's accountable for leading data and advanced analytics projects for KPMG's clients within the prairies. Adam is obsessed with...
Artificial Intelligence
Laura Petrich, PhD Student in Robotics & Machine Learning – Interview Series
Laura is currently pursuing a Ph.D. in Computing Science under the supervision of Dr. Patrick Pilarski and Dr. Matthew E. Taylor. She received a B.Sc. with Honors in Computing Science from the University of...
Artificial Intelligence
Time Series for Climate Change: Using Deep Learning for Precision Agriculture Precision Agriculture Hands-on: Spatio-Temporal Forecasting of Dew Point Temperature using Deep Learning Key Takeaways
In the remainder of this text, we’ll forecast dew point temperature in several locations. You’ll learn the way to construct a spatio-temporal forecasting model using deep learning.The total code for this tutorial is accessible...
Artificial Intelligence
Patrick M. Pilarski, Ph.D. Canada CIFAR AI Chair (Amii) – Interview Series
Dr. Patrick M. Pilarski is a Canada CIFAR Artificial Intelligence Chair, past Canada Research Chair in Machine Intelligence for Rehabilitation, and an Associate Professor within the Division of Physical Medicine and Rehabilitation, Department of...
Artificial Intelligence
Unraveling the Design Pattern of Physics-Informed Neural Networks: Series 01 1. Paper at a look: 2. Design pattern 3 Potential Future Improvements 4 Takeaways Reference
2.1 ProblemPhysics-Informed Neural Networks (PINNs) offer a definite advantage over conventional neural networks by explicitly integrating known governing atypical or partial differential equations (ODEs/PDEs) of physical processes. The enforcement of those governing equations in...
Artificial Intelligence
Unraveling the Design Pattern of Physics-Informed Neural Networks: Series 01
2.1 ProblemPhysics-Informed Neural Networks (PINNs) offer a definite advantage over conventional neural networks by explicitly integrating known governing abnormal or partial differential equations (ODEs/PDEs) of physical processes. The enforcement of those governing equations in...
Artificial Intelligence
Arjun Narayan, Head of Global Trust and Safety for SmartNews – Interview Series
Arjun Narayan, is the Head of Global Trust and Safety for SmartNews a news aggregator app, he can be an AI ethics, and tech policy expert. SmartNews uses AI and a human editorial team...
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