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Edx: artificial intelligence (ai) free course

Design intelligent agents to solve real-world problems including, search, games, machine learning, logic, and constraint satisfaction problems.

What do self-driving cars, face recognition, web search, industrial robots, missile guidance, and tumor detection have in common?

They are all complex real world problems being solved with applications of intelligence (AI).

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.

You will learn about the history of AI, intelligent agents, state-space problem representations, uninformed and heuristic search, game playing, logical agents, and constraint satisfaction problems.

Hands on experience will be gained by building a basic search agent. Adversarial search will be explored through the creation of a game and an introduction to machine learning includes work on linear regression.

What you'll learn:

- Introduction to Artificial Intelligence and intelligent agents, history of Artificial Intelligence
- Building intelligent agents (search, games, logic, constraint satisfaction problems)
- Machine Learning algorithms
- Applications of AI (Natural Language Processing, Robotics/Vision)
- Solving real AI problems through programming with Python

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Udacity: artificial intelligence engineer: learn to build the impossible

Welcome to the Artificial Intelligence Nanodegree program, where virtually anyone on the planet can study to become an AI engineer! We’ve collaborated with leading innovators in the field to bring you world-class curriculum, expert instructors, and exclusive hiring opportunities. Topics include:

- Search and Optimization
- Logic, Reasoning & Planning
- Building Models of Probability
- Natural Language Processing
- Computer VisionAnd much more!

This Nanodegree program consists of two terms of three months each. Students must complete the full six months to earn their credential and graduate. Each term costs $800, paid at the beginning of each term. At this time, there are no scholarships or financial aid available.

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Jun 26 to 29, 2017: o’reilly artificial intelligence conference

The brightest minds in artificial intelligence will gather in New York to share how to implement AI in real world projects. Join us as we explore the future of AI—and how to get there from here.

Underneath all the hype, real breakthroughs in AI are happening, transforming how we do business. Intelligence engineers and developers are creating software that doesn't just do what it's told, but has the ability to anticipate the needs of its users and customers through a combination of pattern recognition, knowledge, planning, and reasoning.

The O’Reilly AI Conference brings the growing AI community together to explore some of the most promising applied deep learning and edge intelligence topics, including:

- Translating abstract AI into real numbers for business
- Deep learning models for computer vision solutions
- AI for structured business data
- How AI can power voice interfaces
- Natural language processing
- Tensorflow
- Using the cloud as an AI supercomputer
- Scaling and productizing conversational AI
- Affordable AI-capable products
- AI for digital advertising product recommendations
- Software and hardware breakthroughs for deep neural networks
- AI contributions in industry and engineering

If you're looking for groundbreaking research, compelling use cases, rock-solid technical skills, teardowns of successful AI projects—and maybe one or two truly crazy ideas that just might change the world—make plans to join us June 26–29 in New York for the O’Reilly AI Conference. Take a look at the schedule and start making your plans today. 

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June 23 to 25, 2017: global ai hackathon

The world's first ever AI hackathon series is kicking off this June. Join the hype and fellow AI enthusiasts to hack simultaneously for 48 hours in more than 10 cities across the world. The future of AI awaits you!

- Challenges are announced at kick-off 
- Two webinars are hosted to cover basic AI knowledge and tools
- Participants choose one challenge to work on
- Projects are submitted to the hackathon platform
- Teams volunteer to demo their project on stage
- The best solutions win
- One winner per challenge per location

NOT just for coders! Anyone who is passionate about AI can be part of it! Whether you are a beginner, an expert or a student, you are welcome to join YOUR local community of innovators and create a solution using YOUR skills!

San Francisco, Seattle, New York, London, Paris, Amsterdam, Munich, Beijing, Shanghai, Tokyo, Vancouver, Toronto, Casablanca 

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A.i just beat the best human players at poker

11, poker pros are competing against artificial intelligence developed by Carnegie Mellon University in an epic rematch to determine whether a computer can beat humans playing one of the world's toughest poker games.

After 20 days of play at a casino in Pittsburgh, an AI built by two Carnegie Mellon researchers officially defeated four top players at no-limit Texas Hold 'Em a particularly complex form of poker that relies heavily on longterm betting strategies and game theory.

But this time, they won handily: Across 20 days of play, Libratus topped its four human competitors by more than $1.7 million, and all four humans finished with a negative number of chips.

The human players who along with McAulay include Dong Kim, Jason Les, and Jimmy Chou believe that the machine's play changed from day to day.

Sandholm and Brown may have worked to change the machine's behavior from day to day, as they did when their earlier AI, Claudiro, went up against human players nearly two years ago.

Though the game was heads-up Hold 'Em meaning each player was playing his own game against the machine they would share strategies in the evenings.

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