• Machine Learning - *Cornell University* This course will introduce you to technologies for building data-centric information systems on the World Wide Web, show the practical applications of such systems, and discuss their design and their social and policy context by examining cross-cutting issues such as citizen science, data journalism and open government. Course work involves lectures and readings as well as weekly homework assignments, and a semester-long project in which the students demonstrate their expertise in building data-centric Web information systems.
• AI & ML Events - Discover the best upcoming hand-picked events in the field of artificial intelligence and machine learning
• Machine Learning - *Stanford University* This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. *Taught by: Andrew Ng*
• MIT Artifical Intelligence Videos - *MIT* This course includes interactive demonstrations which are intended to stimulate interest and to help students gain intuition about how artificial intelligence methods work under a variety of circumstances.
• Machine Learning - Basic machine learning algorithms for supervised and unsupervised learning
• Deep Learning for Natural Language Processing - *Stanford University* Natural language processing (NLP) is one of the most important technologies of the information age. Understanding complex language utterances is also a crucial part of artificial intelligence. Applications of NLP are everywhere because people communicate most everything in language: web search, advertisement, emails, customer service, language translation, radiology reports, etc.
• Deep Learning Explained - *Microsoft* This course provides the level of detail needed to enable engineers / data scientists / technology managers to develop an intuitive understanding of the key concepts behind this game changing technology.
• Machine Learning: Regression - *University of Washington* In our first case study, predicting house prices, you will create models that predict a continuous value (price) from input features (square footage, number of bedrooms and bathrooms,...). This is just one of the many places where regression can be applied.
• Machine Learning: Clustering & Retrieval - *University of Washington* A reader is interested in a specific news article and you want to find similar articles to recommend. What is the right notion of similarity? Moreover, what if there are millions of other documents? Each time you want to a retrieve a new document, do you need to search through all other documents? How do you group similar documents together? How do you discover new, emerging topics that the documents cover?
• Neural Networks for Machine Learning - *University of Toronto with Geoffrey Hinton* Learn about artificial neural networks and how they're being used for machine learning, as applied to speech and object recognition, image segmentation, modeling language and human motion, etc. We'll emphasize both the basic algorithms and the practical tricks needed to get them to work well.
• Machine Learning With Big Data - *University of California, San Diego* Need to incorporate data-driven decisions into your process? This course provides an overview of machine learning techniques to explore, analyze, and leverage data. You will be introduced to tools and algorithms you can use to create machine learning models that learn from data, and to scale those models up to big data problems.
• Data Science & Machine Learning - Unlock Data Insights: Comprehensive Data Science & Machine Learning Course.

Artificial Intelligence

• Advanced Artificial Intelligence - *Cornell University* The design of systems that are among top 10 performers in the world (human, computer, or hybrid human-computer).
• Introduction to Artificial Intelligence - *UC Berkeley* This course will introduce the basic ideas and techniques underlying the design of intelligent computer systems. A specific emphasis will be on the statistical and decision-theoretic modeling paradigm.
• Artificial Intelligence (AI) - *Columbia University with Professor Ansaf Salleb-Aouissi* This course will provide a broad understanding of the basic techniques for building intelligent computer systems and an understanding of how AI is applied to problems.

Generative Adversarial Networks (GANs)

• GAN — What is Generative Adversary Networks GAN? - GAN is about creating, like drawing a portrait or composing a symphony. This is hard compared to other deep learning fields..
• A Beginner's Guide to Generative Adversarial Networks (GANs) - Generative adversarial networks (GANs) are deep neural net architectures comprised of two nets, pitting one against the other.

Business Intelligence & Analytics

• NXT AI
• UBIX
• Arago/HIRO
• Arimo
• Ayasdi
• DataRobot
• Dataminr
• Einstein
• Fuzzy AI
• Paxata
• Poweredby.ai
• Sundown
• UBIX
• Student Voice - automatic free-text labelling for education
• NXT AI
• NXT AI

Robotics

• Fetch Robotics - The future of e-commerce fulfillment and R&D robots.
• ABB Robotics - the largest manufacturer of industrial robots
• Aldebaran Robotics - creator of the [NAO robot

Conversational Interfaces & Chatbots

• API.ai
• Broken Bear
• ChatGenius
• Comm.ai
• Conversica
• EDDI
• FPT AI Platform - users
• Golem.ai
• Gong
• Maluuba
• Massively
• Meya
• MindMeld
• Motion AI
• msg.ai
• Octane AI
• OpenAI Gym
• Orbit
• PageLines - AI Agents to Enhance Your Website
• Pool
• Recast
• Semantic Machines
• Snips
• Servo
• UNU.ai
• Unify - commerce chatbot
• uTu - channel bot analytics and data management
• Wit.ai
• Wysh
• Zero AI
• UNU.ai
• PageLines - AI Agents to Enhance Your Website
• Voilà - powered browser assistant to help you with everyday tasks

Data Science

• Arize
• BigML
• DataScience
• Phoenix - open source library; LLM observability in a notebook
• Spark
• Tamr
• Yseop
• Yhat
• Kaggle

Development

• AnOdot
• Bonsai
• Deckard.ai
• Gigster
• Layer 6 AI
• Morp
• Ozz
• RainforestQA
• SignifAI
• Turtle
• Neural Network - Libraries by Sony. Sony demonstrates its interest in deep learning by releasing their own open source deep learning framework.
• TensorFlow neural network playground - Play with neural networks visually in your browser to get a feel for what they are and what they do.
• Fuzzy.ai

Vehicle

• Vinli

Insurance / Legal

• Docubot
• Driveway
• Driveway

Machine Learning

• Geometric Intelligence  - Geometric Intelligence apart of the Uber AI Labs

Personal Tools

• Luka
• Brin
• Findo
• Fembot
• Fin
• Amazon Echo / Alexa - home
• Google Assistant
• Howdy - a friendly, trainable bot that helps Slack teams with work
• Hound
• Julie Desk - Suite)
• Kono
• Lifos
• Ling
• Lyra
• Magic - Magic is a special phone number you text to get anything you want, hassle free
• Microsoft Cortana - Cortana is a voice-controlled virtual assistant for Microsoft Windows Phone 8.1. Comparable to Siri, the intelligent assistant enabled on Apple devices, Microsoft's Cortana will use the Bing search engine and data stored on the user's smartphone by to make personalized recommendations
• MyWave - Melbourne-based which makes a personal call
• Meeco - Sydney-based, a robot lawyer
• Remi
• Safurai - Safurai is the AI Code Assistant that saves you time in changing, optimizing, and searching code.
• Spoken
• Viv
• x.ai
• AIHelperBot - Build SQL queries using AI
• ZZZ Code AI - Get any programming question answered / code generated online
• Spoken
• Chatfuel
• Fembot
• Lifos
• Lyra
• Remi

IoT / IIoT

• Grojo
• Home
• Hello
• Josh
• Nanit
• Aerial
• Bridge.ai - home platform focused on speech and sound
• Cubic
• Mycroft
• Cubic
• Bridge.ai - home platform focused on speech and sound

Education Tools

• Thirdleap
• Woogie
• CodeKidz - powered programming learning platform for kids, featuring AI teachers to teach Python basics, problem-solving, and creativity with human-like responses

Writing Tools

• RightBlogger - Powered Content Creation Tools for Bloggers
• Jasperi AI
• Writesonic - friendly content
• Clap - Free, Seamless Typing Experience
• Myriad
• Taskade AI

Health / Medical Tools

• Abi
• Ada
• Airi
• Alz.ai
• Bitesnap
• doc.ai
• Gyan
• Joy
• Tess by X2AI
• Airi
• Gyan

Travel AI Tools

• Ada
• Emma
• ETA
• Mezi
• Nexar
• Ready

Finance AI Tools

• Morpher AI
• Abe
• Andy
• Ara
• Bond
• Mylo
• Responsive - grade active portfolio management
• Roger
• Xoe.ai
• Xoe.ai

Language / Translation AI Tools

• Microsoft Translator
• Watson.ai

Research

• Apollo
• Ferret.ai
• Iris

Tools

• CaptionBot
• Crowdfunding.ai
• Fieldguide

Javascript

• Machine Learning - Machine learning library for Node.js
• Twitter-text - Twitter's text processing library
• Machine Learning - Machine learning library for Node.js
• ConvNetJS - Convolutional Neural Networks
• mljs - A set of sub-libraries with a variety of functions
• Neataptic - Neural Networks
• Machine Learning - Machine learning library for Node.js
• Machine Learning - Machine learning library for Node.js
• Machine Learning - Machine learning library for Node.js
• Machine Learning - Machine learning library for Node.js

Blogs, Papers, and Articles

• Caffe - Deep learning framework.

TensorFlow

• Neptune.ai

Podcast

• The AI Forum
• The AI Conference
• Chatbot Summit - Chatbot Summit Berlin is the second international Chatbot Summit destined to bring together the leading players of the newly formed Chatbot economy
• Deep learning research groups - A list of many of the academic and industry labs focused on deep learning.

Location

• Amsterdam
• Hongkong
• London
• New York
• San Francisco AI meetup - A local meetup for AI enthusiasts and researchers that we’re involved in.

Tools

• Reinforcement Learning: An Introduction - This introductory textbook on reinforcement learning is targeted toward engineers and scientists in artificial intelligence, operations research, neural networks, and control systems, and we hope it will also be of interest to psychologists and neuroscientists.

Blogs, Papers, and Articles

• Deep learning reading list - A thorough list of academic survey papers on the subjects of reinforcement learning, computer vision, NLP & speech, disentangling factors, transfer learning, practical tricks, sparse coding, foundation theory, feedforward networks, large scale deep learning, recurrent networks, hyper parameters, optimization, and unsupervised feature learning.
• TensorFlow - Large-Scale Machine Learning on Heterogeneous Distributed Systems by Google Research (2015). How TensorFlow works.
• BuzzRobot AI Newsletter - edge artificial intelligence papers.

TensorFlow

• Axiomzen
• Concerning.ai
• Machinelearning.ai
• Machine Learning Weekly - curated newsletter ML and DL
• Artificial Intelligence News -- ScienceDaily - Artificial Intelligence News. Everything on AI including futuristic robots with artificial intelligence, computer models of human intelligence and more.
• Machine Learning Weekly - curated newsletter ML and DL

Podcast

• Podcast with Yoshua Bengio - The Rise of Neural Networks and Deep Learning in Our Everyday Lives. An exciting overview of the power of neural networks as well as their current influence and future potential.
• Podcast with Yoshua Bengio - The Rise of Neural Networks and Deep Learning in Our Everyday Lives. An exciting overview of the power of neural networks as well as their current influence and future potential.

Location

• Seattle
• Chatbots NYC - Meetup in New York City
• London
• New York
• Brisbane - AI community and events
• Sydney - Community of builders for AI
• Sydney - Chinese AI Association
• 澳洲华人程序员社区

Podcast

• Jobs in AI - find latest jobs from top AI companies
• Jobs in Australia - find and recommend jobs through AI
• 澳洲找工作 - 华人找工作 工作内推