Get to know the team behind the Enterprise AI Lab!
Our data scientists publish about their latest projects
(in and out of the Lab) in Data from the Trenches.
Tackling Algae Inundation With Machine Learning
Because of climate change, algae inundation has increased dramatically in the Caribbean Sea in recent years. It has yielded negative cons...
Apr 13, 2023 / Read More
No Training Data? No Problem!
A significant quantity of training data has long been a key requirement of successful machine learning (ML) projects. In this blog post, ...
Mar 30, 2023 / Read More
Digging Through the Minutiae: Query Your Documents With GPT-3
With search engines and now AI assistants like ChatGPT, we have powerful tools to retrieve relevant information from the internet. Howeve...
Feb 09, 2023 / Read More
Leveraging Joint Text-Image Models to Search and Classify Images
Introduced by OpenAI in 2021, CLIP is one of the essential elements of the ongoing AI art revolution. But CLIP, a joint text-image model,...
Dec 23, 2022 / Read More
Paying Attention to Text and Images for Visual Question Answering
Attention first originated in translation systems as a way to focus on parts of the input sentence, when generating words of the translat...
Dec 15, 2022 / Read More
OpenAL: Evaluation and Interpretation of Active Learning Strategies
We are pleased to present our work accepted at the NeurIPS 2022 Workshop on Human in the Loop Learning! For a complete overview of our wo...
Dec 05, 2022 / Read More
Towards Efficient Labeling in Federated Learning
Federated Learning (FL) can enable privacy-preserving distributed computation across several clients. It is used to federate knowledge fr...
Nov 10, 2022 / Read More
Semantic Search: An Overlooked NLP Superpower
Given a text corpus, semantic search consists of retrieving texts whose meaning matches a search query. For example, if your search query...
Oct 27, 2022 / Read More