"The Next Big Breakthrough in AI Will Be Around Language" -
Harvard Business Review
While data might be the new oil, the dataset is the refined gasoline that powers every Machine Learning (ML) and AI operation.
We focus on context-controlled NLP/NLU (Natural Language Processing/Understanding) and feature engineering for hidden relationship detection in data. Our platform powers advanced approaches in Artificial Intelligence (AI) and Machine Learning (ML) using experimental and formal language models including well-known models such as
OpenAI's GPT-3 (2020),
Google's BERT (2018),
word2vec (2013) combined with experimental methods developed at
Lawrence Berkeley National Laboratory (2008).
Our platform powers research groups, data vendors, funds and institutions by generating on-demand NLP/NLU correlation matrix datasets. We are particularly interested in how we can get machines to trade information with one another or exchange and transact data in a way that minimizes a selected loss function. Our objective is to enable any group analyzing data to save time by testing a hypothesis or running experiments with higher throughput. This can increase the speed of innovation, novel scientific breakthroughs and discoveries. For a little more on who we are, see our latest reddit AMA on
r/AskScience (here)!