engblogs

The blogpost discusses the limitations of current machine learning interfaces and introduces Symphony, a new interface designed to facilitate analysis and communication between multiple stakeholders.

This blogpost explores cross-lingual knowledge transfer and iterative pseudo-labeling as techniques to enhance accuracy in low-resource speech recognition systems.

Expert insights on tackling petabyte-level learning from the Black Swan Data CTO at Snorkel AI's summit in 2022

Issues arising from the use of generative AI in art and other media discussed by MIT postdoc Ziv Epstein.

Support program for AI postdocs in life sciences at MIT sponsored by Novo Nordisk.

Exploring how Uber automated audit for internet-scale financial transactions using a directed acyclic graph (DAG) to ensure complete accountability.

This blog post explores the use of Contextual Bandit (CB) models in large action spaces at Instacart, discussing the challenges, potential solutions, and the application of CB models to ranking and retrieval problems in e-commerce.

Introducing AvroTensorDataset, a high-performance TensorFlow dataset for efficiently processing Avro data in machine learning models

This blogpost is about experimenting at scale and optimizing the Spotify Home experience for enhanced personalization and user value.

A post by Peter Davio, CTO at Black Swan Data, discussing strategies for handling petabyte-level learning at Snorkel AI's The Future of Data-Centric AI Summit in 2022.

This blog post discusses the on-device acceleration of large diffusion models via GPU-aware optimizations, focusing on techniques such as enhanced attention modules for memory efficiency, Winograd fast convolution for 3x3 convolution layers, and specialized operator fusion for memory efficiency.

Exploring the diversity and nuances of Spanish dialects across the globe.