Releases

AWS introduced managed human-review workflows for machine-learning predictions.

AWS introduced an intelligent enterprise-search service using machine learning and natural-language queries.

AWS introduced ML-powered code review and performance recommendations.

AWS made Inferentia-powered EC2 instances generally available for machine-learning inference.

AWS introduced a generative-AI learning service and musical keyboard.

CoreWeave launched its specialized cloud business around on-demand NVIDIA GPU infrastructure for compute-intensive workloads.

NVIDIA expanded EGX with certified servers, software and ecosystem support for AI, IoT and 5G at the edge.

Databricks introduced the MLflow Model Registry for centralized model versioning and lifecycle management.

NVIDIA introduced EGX to bring real-time AI computing to edge and industrial environments.

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

Pipeline Builder became available for visual data-transformation authoring in Foundry.

Apollo's continuous-delivery capabilities became the deployment layer for Palantir software.

Workshop became available for building operational applications on the Ontology.

Palantir launched Apollo to continuously deliver and manage software across heterogeneous environments.

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

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

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.

Oracle launched a multi-skill enterprise digital assistant using natural-language understanding and machine learning.

NVIDIA launched the T4 GPU and TensorRT 5 as a data-center inference platform.

Scale expanded its annotation platform around the image, video, lidar, and sensor-fusion requirements of autonomous-vehicle developers.

Baidu announced its first Kunlun AI accelerator for cloud and edge workloads.

Baidu introduced its in-house Kunlun AI computing architecture.

Baidu launched a full-featured machine-learning platform for algorithm developers.

Apollo 3.0 added production support for autonomous minibuses, delivery vehicles and valet parking.

Baidu launched a PaddlePaddle development and education platform for model building.

Baidu Brain 3.0 added multimodal semantic understanding and more than 110 AI capabilities.

Databricks introduced MLflow as an open-source platform for managing the machine-learning lifecycle.

NVIDIA introduced the Jetson AGX Xavier embedded AI computer for autonomous machines.

Apollo 2.5 added high-speed-road support, lower costs, developer improvements and ApolloScape datasets.

Oracle released the first Autonomous Database cloud service, powered by machine-learning automation.

NVIDIA introduced Clara as a medical imaging and healthcare AI computing platform.

NVIDIA introduced DGX-2 with 16 V100 GPUs connected by NVSwitch for large-scale AI training.

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.

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.

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.

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