We introduce CVNets, a high-performance open-source library for training deep neural networks for visual recognition tasks, including classification, detection, and…
Virtual assistants make use of automatic speech recognition (ASR) to help users answer entity-centric queries. However, spoken entity recognition is…
Machine learning models are trained to minimize the mean loss for a single metric, and thus typically do not consider…
A key algorithm for understanding the world is material segmentation, which assigns a label (metal, glass, etc.) to each pixel.…
Including memory banks in a natural language processing architecture increases model capacity by equipping it with additional data at inference…
The practical success of overparameterized neural networks has motivated the recent scientific study of interpolating methods, which perfectly fit their…
This is a guest post by Ramzi Alqrainy, Chief Technology Officer, The Chefz. The Chefz is a Saudi-based online food…
Distributed deep learning model training is becoming increasingly important as data sizes are growing in many industries. Many applications in…
This is the third post in our blog series on Rubix (#1, #2), our effort to rebuild our cloud architecture…
Top tips for interns and graduates applying to Palantir, featuring advice from two recent recruiting interns and Palantir’s Early Talent…