Releases

OpenAI Five defeated the reigning Dota 2 world champion team OG in a live best-of-three match.

FAIR researchers published a transformer language model that learned biological properties from protein sequences.

Facebook open-sourced its Deep Learning Recommendation Model reference implementation.

AWS released optimized Docker images for deep-learning training and inference.

Baidu released its first knowledge-enhanced language representation model.

Baidu introduced knowledge-enhanced pre-training through ERNIE.

OpenAI created a capped-profit entity, OpenAI LP, to scale investment in compute and talent while keeping the nonprofit mission in control.

MLflow 1.0 marked the first stable major release of the open-source ML lifecycle platform.

OpenAI introduced GPT-2 and began a staged release process due to misuse concerns.

Databricks raised $250 million led by Andreessen Horowitz, valuing the company at $2.75 billion.

Aidan Gomez, Nick Frosst and Ivan Zhang founded Cohere to build broadly usable natural-language AI, later focusing on enterprise deployment.

Scale introduced a managed workspace for configuring annotation projects, instructions, quality controls, and review workflows.

Gradio launched as an open-source Python framework for rapidly building browser interfaces around machine-learning models.

Microsoft open-sources ONNX Runtime as a cross-platform high-performance inference engine.

DeepMind's first AlphaFold system achieves top performance in the CASP13 protein-structure prediction assessment.

Google Research releases JAX for composable automatic differentiation and accelerator-backed numerical computing.

AWS launched attachable fractional GPU acceleration for EC2 and SageMaker inference workloads.

AWS announced its first custom machine-learning inference chip.

AWS launched a reinforcement-learning education platform built around an autonomous scale race car.

AWS introduced document AI for extracting text, handwriting, forms and tables.

AWS introduced a managed forecasting service based on technology used in Amazon's retail operations.

AWS introduced a managed service for building individualized recommendations using technology derived from Amazon.com.

AWS introduced a managed data-labeling service combining human annotation with active learning.

AWS launched a HIPAA-eligible NLP service for extracting medical entities and relationships from text.

Google open-sources BERT, enabling bidirectional pre-training for language understanding and downstream NLP tasks.