Releases

Apollo 2.0 added cloud services, reference hardware and vehicle platforms for simple urban roads.

Runway launched a web platform for accessible machine-learning-powered creative tools.

Runway was founded as an applied AI research company for creative media.

Shield AI deployed its Hivemind-powered autonomy in combat operations.

Quiver became available for time-series and engineering analysis in Foundry.

Contour became available as Foundry's point-and-click analytical application.

NVIDIA launched TITAN V, bringing Volta Tensor Core AI acceleration to desktop systems.

DeepMind publishes AlphaZero, a general self-play reinforcement-learning system for multiple board games.

AWS introduced managed natural-language processing for entity, sentiment, language and topic extraction.

AWS introduced a managed neural machine-translation service.

AWS introduced a managed automatic speech-recognition service.

AWS introduced a programmable deep-learning-enabled video camera for edge computer-vision development.

AWS launched an end-to-end managed platform for building, training and deploying machine-learning models.

Baidu upgraded DuerOS with expanded conversational AI capabilities.

Microsoft and Databricks announced Azure Databricks, a first-party Apache Spark analytics service on Azure.

Baidu launched a no-code interface for training and deploying custom AI models.

Oracle unveiled a self-driving database cloud using machine learning for tuning, patching, security and operations.

Microsoft and Facebook introduce the Open Neural Network Exchange format to improve model interoperability across AI frameworks.

The founders turned an experimental cryptocurrency-mining GPU setup into a business and expanded through opportunistic purchases of GPU hardware.

Michael Intrator, Brian Venturo, and Brannin McBee formed The Atlantic Crypto Corporation LLC, the company that later became CoreWeave.

Databricks raised $140 million in a Series D led by Andreessen Horowitz.

Microsoft introduces Project Brainwave, an FPGA-based architecture for real-time deep-learning inference in cloud and edge systems.

OpenAI released code for training reinforcement-learning agents from human feedback.

OpenAI introduced PPO, a family of policy-gradient methods designed for stability and simplicity.

Scale raised $4.5 million in Series A funding led by Accel to expand its labeled-data infrastructure.