Homomorphic encryption allows computation directly on encrypted data, an approach that has so far been plagued by poor peformance compared to operations on unencrypted data. But it's getting there, Pure AI editors explain.
- By Pure AI Editors
- 07/16/2020
Here's an explanation of variational autoencoders -- one of the fundamental types of deep neural networks -- used for synthetic data generation.
- By Pure AI Editors
- 05/18/2020
Learn about four of the most commonly used machine learning classification techniques, used to predict the value of a variable that can take on discrete values.
- By Pure AI Editors
- 04/15/2020
New Relic unveiled a new suite of artificial intelligence- and machine learning-based on-call DevOps capabilities Tuesday.
- By John K. Waters
- 04/15/2020
Microsoft researchers released an open source code library for generating machine learning counterfactuals, used for scenarios such as loan applications. We spoke with Dr. Amit Sharma, one of the project leaders, and asked him to explain what machine learning counterfactuals are and why they're important.
- By Pure AI Editors
- 03/20/2020
Researchers at Microsoft have demonstrated a new type of computer memory that outperformed many existing systems when applied to a well-known benchmark set of natural language processing (NLP) problems. The memory architecture is called metalearned neural memory (MNM), or more generally, deep neural memory.
- By Pure AI Editors
- 02/10/2020
The data scientists at Microsoft Research explain how word embeddings are used in natural language processing -- an area of artificial intelligence/machine learning that has seen many significant advances recently -- at a medium level of abstraction, with code snippets and examples.
- By Pure AI Editors
- 01/06/2020
Researchers at Microsoft have demonstrated a new technique called Neurosymbolic AI which has shown promising results when applied to difficult scenarios such as algebra problems stated in words. The PureAI editors were given a sneak peek at the draft of a research paper that describes the work.
- By Pure AI Editors
- 12/05/2019
Learn about LSTM (long, short-term memory) neural networks, which have become a standard tool for creating practical prediction systems. Specifically, this article explains what type of problems LSTMs can and cannot solve, describes how LSTMs work, and discusses issues related to implementing an LSTM prediction system in practice.
- By Pure AI Editors
- 11/15/2019