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Apps, platforms and APIs for people and businesses.
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2025
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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.
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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.
2023
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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.
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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.
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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.
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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.
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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.
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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.
2020
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Oct 22, 2020
Full Self-Driving (Supervised)
Tesla's most advanced driver-assistance package, sold as a $99 monthly subscription. It steers, changes lanes, follows routes and parks, while the driver stays responsible and the car is not autonomous.
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Jun 11, 2020
OpenAI API platform
The OpenAI API is OpenAI's commercial developer platform, announced on 11 June 2020 with GPT-3. Over the following years it grew into a platform for building AI agents, adding the Responses API, Agents SDK, AgentKit and other tools.
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2020
Hugging Face Hub
The Hugging Face Hub is the platform where people share machine-learning models, datasets and demo apps. By September 2026 it had more than 3 million models and 18 million users.
2017
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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.
2015
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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.
2014
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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.
2011
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Jun 16, 2011
Kinect for Windows SDK beta
A free beta software development kit released by Microsoft on 16 June 2011 that let developers use the Kinect sensor's depth sensing, motion tracking and voice recognition on Windows PCs, initially for non-commercial work.
2009
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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.
1988
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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.
1960
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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.
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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.
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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.
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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.
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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.