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2025

  • Jul 14, 2025 Kiro

    Kiro is Amazon Web Services' agentic IDE, announced in July 2025, which turns a prompt into user stories, a design document and a task list before writing code — an approach its makers call spec-driven development.

    Agents & tool useDeveloper toolsCloud

  • Jun 22, 2025 Tesla Robotaxi

    Tesla Robotaxi is Tesla's ride-hailing service, in which passengers hail autonomous vehicles through the company's app; its dedicated two-seat Cybercab has no steering wheel, pedals or mirrors. Limited service began in Austin in June 2025.

    EnterpriseConsumer appsRobotics

2023

  • Dec 12, 2023 SGLang

    SGLang is an open-source system for running complex language model programs: a frontend language plus a runtime that reuses cached attention state and speeds up structured output, reporting up to 6.4x higher throughput than prior inference systems.

    Large language modelsOpen sourceDeveloper tools

  • Nov 28, 2023 Amazon Q

    Amazon Q is a generative AI assistant for work from AWS. It was announced in preview at re:Invent on 28 November 2023, respects each user's permissions and became generally available as Amazon Q Business on 30 April 2024.

    EnterpriseAgents & tool useDeveloper tools

  • Oct 19, 2023 NVIDIA TensorRT-LLM

    TensorRT-LLM is NVIDIA's open-source library for speeding up and optimizing large language model inference on NVIDIA GPUs, publicly released on 19 October 2023 and usable free from GitHub or as part of NVIDIA NeMo.

    Large language modelsHardware & computeDeveloper tools

  • Apr 13, 2023 Amazon Bedrock

    Amazon Bedrock is AWS's managed, serverless service for accessing foundation models from several companies, announced on 13 April 2023. It became generally available in September 2023 and added Amazon's own Nova models and the AgentCore agent platform later.

    EnterpriseAgents & tool useFoundation models

  • Feb 9, 2023 vLLM

    vLLM is an open-source serving system for large language models, built on PagedAttention, which manages the KV cache the way an operating system manages virtual memory. It reports 2-4x higher throughput than earlier serving systems at the same latency.

    Large language modelsOpen sourceDeveloper tools

  • 2023 OpenRouter

    OpenRouter is a marketplace and gateway for large language models, started in early 2023, that lets developers reach hundreds of models from many providers through one interface. It reports more than 10 million users and a $113 million Series B.

    Large language modelsProduct historyDeveloper tools

2020

2017

  • Nov 29, 2017 Amazon SageMaker

    Amazon SageMaker is AWS's fully managed service for building, training and hosting machine learning models, announced in 2017. It combines hosted notebooks, distributed training and scalable inference endpoints, and each part can be used on its own.

    EnterpriseDeveloper toolsCloud

2015

  • Dec 2015 Apache MXNet

    Apache MXNet is an open-source deep learning library that offers both symbolic and imperative programming, runs from mobile devices to GPU clusters, and ships bindings for eight languages. Its paper was posted in December 2015 by Tianqi Chen, Mu Li and colleagues.

    Open sourceDeep learningDeveloper tools

2014

  • Jun 2014 Caffe

    Caffe is a BSD-licensed C++ library with Python and MATLAB bindings for training and deploying convolutional neural networks, described in a 2014 paper by Yangqing Jia and colleagues.

    Open sourceDeep learningDeveloper tools

2011

2009

  • Apr 8, 2009 CIFAR-10

    CIFAR-10 is a labelled image dataset of 60000 32×32 colour images in 10 mutually exclusive classes, split into 50000 training and 10000 test images; it was created by Krizhevsky, Nair and Hinton for training and comparing image classifiers.

    Research historyDeep learningData & datasets

1988

  • 1988 ALVINN

    ALVINN was a 1988 Carnegie Mellon neural network that learned to steer the Navlab van by watching a human driver, an early demonstration of learned end-to-end driving.

    Research historyDeep learningRobotics

1960

  • Jun 23, 1960 Mark I Perceptron

    The Mark I Perceptron was the first hardware implementation of the perceptron algorithm: a custom analog computer built at Cornell Aeronautical Laboratory for image recognition, with photocells as input and motor-driven potentiometers as learnable weights.

    Research historyDeep learningProduct history

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  • Runway

    Runway builds generative video, image and audio tools used by more than 60 million creative users, and researches general-purpose world models that simulate video, audio and interfaces in real time.

    EnterpriseProduct historyGenerative models

  • MER AutoNav and GESTALT

    AutoNav is the autonomous driving software used by NASA's Spirit and Opportunity Mars rovers. It combines stereo vision, GESTALT terrain assessment, Visual Odometry, and Field D* path planning to let rovers choose and drive safe paths without step-by-step direction from Earth.

    Research historyRoboticsComputer vision

  • ImageNet

    ImageNet is a large, hierarchical image database built on the WordNet conceptual model and released at Princeton University in 2009. It holds more than 14 million images in 21,841 categories, with bounding-box annotations, and a 1,000-class subset used by the ILSVRC challenge.

    Research historyData & datasetsScience

  • Google self-driving car prototype

    Google's self-driving car prototype was a modified production car that used cameras, radar and a roof-mounted laser range finder to sense traffic, drove routes that had been mapped in advance by manually driven cars, and always carried a trained safety driver and a software operator.

    Research historyProduct historyRobotics