Open Domain Question Answering Series: Part 3

Artificial intelligence (AI) is being used to power our technology and the services we use every day like banking, retail, entertainment and shipping. Major corporations spend billions on AI solutions to make their companies more efficient, profitable and cyber safe.

In the previous article, I introduced the Machine Reading Comprehension model using SQuAD Dataset, Language Models, and Transfer Learning. In this article, I will discuss how to scale the Machine Reading Comprehension model for long documents.

Conventional search engines were only capable of giving relevant websites for questions. However, due to advancements in Machine Reading Comprehension, Transfer Learning, and Language Modeling, current search engines can provide granular answers to every question.

We have completed our sixth anniversary at Cognistx. I continue to be blessed to work with our team, especially my co-founder Dr. Eric Nyberg. This post shares what has worked for our Company and how we are helping our customers with AI.

Artificial intelligence powers the world around us, fueling even the simplest tasks like selecting a movie to stream, listening to your favorite music on Spotify, and unlocking your phone to make a call.

Using contextual learning to avoid limitations of existing profile screening systems can help recruiters and managers to filter candidates for their job requirements.

The increasing quantity of data has fueled an era of data-driven innovation. Industries are adopting new technologies to become leaders in their market, yet efforts to become a data-driven company remain difficult.

Artificial Intelligence – referred to as simply AI – transforms our daily lives in ways most of us don’t even realize. Here are some common AI terms and their definitions.

Holly Weaver and Mingyi Wang chat live during the pandemic of 2020 about China and the future of artificial intelligence.

Holly Weaver and Raminder Dhiman chat live during the pandemic of 2020 about India, Engineering and solving problems with AI.

As a growing company in the exciting space of Enterprise AI, we had to reimagine our business models and strategy to scale better.

One of the most frustrating aspects of a poor customer service experience is when an agent can't solve the customer’s issue.