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2025

  • 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

  • Apr 22, 2025 Huawei Qiankun ADS 4

    Huawei's intelligent driving system released in Shanghai on 22 April 2025, built on a cloud-plus-vehicle WEWA architecture and offered in four versions, the flagship carrying a dedicated highway L3 package.

    ChinaRoboticsHardware & compute

2023

  • Dec 5, 2023 MLX

    MLX is an open-source machine learning framework from Apple's machine learning research team, released in December 2023 and built primarily for Apple silicon. Its NumPy-like Python API and unified-memory design let the CPU and GPU work on the same data.

    Open sourceDeep learningHardware & compute

  • 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

2021

  • Jul 2021 Triton

    Triton is OpenAI's open-source, Python-like language and compiler for writing GPU kernels. It lets researchers with no CUDA experience produce efficient GPU code, often close to what an expert would write.

    Open sourceDeep learningHardware & compute

2020

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

2012

  • Feb 1, 2012 Kinect for Windows

    Microsoft's commercial edition of its Kinect depth-sensing camera, released on 1 February 2012 at a suggested price of $249 with a version 1.0 software development kit, so that companies and researchers could build motion- and voice-based applications for Windows computers.

    Consumer appsHardware & computeDeveloper 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

1997

1993

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

1952

1946

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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