Embeddings are central to many areas of machine learning. They provide a way to numerically represent things in the physical world that are not naturally numeric. In this blog post, we’ll explore a simple use case: using embeddings to determine pairwise similarities within a collection of animals.
Say you’ve found…
Deep convolutional neural networks (DCNNs) have shown their promising success in image classification. Two recently proposed DCNNs have been gaining great reputation very quickly: Residual network (ResNet) proposed in 2015 has reported an outstanding performance in terms of classification accuracy, which is still one of the best state-of-art classifier on…
When companies move their infrastructure from on-premise data centers to the clouds — AWS, Google Cloud Platform (GCP), Microsoft Azure, etc., it has to decide whether to use a database service or to set up the database on virtual machines. …
A Bit of History
Based primarily on Applications of AI in Education (1996), we will be exploring how computers have influenced education prior to 1996 in order to gain context into the history of Intelligent Tutoring Systems (ITSs). The next post in this line will be about the issues teachers…
Recessions often lead to pivotal points in technology, the Global Financial Crisis of 2008 heralded the adoption of cloud computing. Platform companies such as Uber and Airbnb were founded during this time and online retail stores began changing the way we shop.
As we look to accelerate out of this…
