Releases

IBM launched an AI-powered enterprise search and document-understanding service.

Scale began building distributed contributor platforms and training operations to support large-scale annotation, expert-data, and evaluation programs.

Scale launched Remotasks to train and coordinate distributed contributors performing data annotation and review tasks.

Amazon unveiled a checkout-free store using computer vision, sensor fusion and deep learning.

OpenAI released Universe, a software platform for training intelligent agents across games, websites, and applications.

AWS introduced a managed text-to-speech service with natural-sounding voices.

AWS introduced the conversational AI service built from the speech recognition and language understanding technology behind Alexa.

AWS introduced managed image analysis for object, scene and face detection.

Oracle introduced the infrastructure platform that became OCI, later forming the base for its managed AI services and GPU cloud.

Baidu launched its core AI technology engine and open-capability platform.

Scale launched the data infrastructure that became its core Data Engine, combining APIs, machine assistance, and human review to create high-quality training data.

Google publicly reveals the TPU, a custom accelerator designed to speed machine-learning workloads in its data centers.

Facebook introduced FBLearner Flow, its internal platform for managing the full lifecycle of machine-learning models.

OpenAI released the public beta of Gym, a toolkit for developing and comparing reinforcement-learning algorithms.

The Pascal-based Tesla P100 accelerator debuted alongside DGX-1 for deep learning and HPC.

NVIDIA unveiled DGX-1, its first integrated deep-learning supercomputer.

Microsoft launches Cognitive Services APIs for adding vision, speech, language, knowledge and search capabilities to applications.

Replit launched its browser-based development workspace.

Shield AI introduced Nova for autonomous reconnaissance in buildings and GPS-denied environments.

Palantir established the Ontology as Foundry's semantic and operational layer.

Data Connection became Foundry's connector and ingestion layer.

Palantir introduced Foundry as its enterprise data operations platform.

Baidu began building enterprise cloud services that evolved into Baidu AI Cloud.

IBM created Watson Health to apply data and cognitive-computing technologies across healthcare and life sciences.

AWS launched its first managed machine-learning service for building predictive models from data in S3, Redshift and RDS.