Tag: artificial intelligence

  • Behold The Artificial Intelligent Baby X

    Behold The Artificial Intelligent Baby X

    Behold The Future…Imagine a machine that can laugh and cry, learn and dream, and can express its inner responses to how it perceives you to feel. It can express itself in a natural manner but also allows you to visualise the mental imagery emerging in its mind.

    The Laboratory for Animate Technologies is creating ‘live’ computational models of the face and brain by combining Bioengineering, Computational and Theoretical Neuroscience, Artificial Intelligence and Interactive Computer Graphics Research.

    We are developing multidisciplinary technologies to create interactive autonomously animated systems which will define the next generation of human computer interaction and facial animation.

    “If I had my time again I’d want to spend it in this lab” – Alvy Ray Smith, Co-founder of Pixar (on his visit to the Laboratory for Animate Technologies).

    We believe the best way to simulate biological behaviour is through biological models. We model the brain processes which give rise to behaviour and social learning and use these to animate lifelike models of the face that can interact with you.

    BabyX is an interactive animated virtual infant prototype. BabyX is a computer generated psychobiological simulation under development in the Laboratory of Animate Technologies and is an experimental vehicle incorporating computational models of basic neural systems involved in interactive behaviour and learning.

    These models are embodied through advanced 3D computer graphics models of the face and upper body of an infant. The system can analyse video and audio inputs in real time to react to the caregiver’s or peer’s behaviour using behavioural models.

    BabyX embodies many of the technologies we work on in the Laboratory and is under continuous development, in its neural models, sensing systems and also the realism of its real time computer graphics.

    We create interactive models of neural systems and neuroanatomy enabling visualisation of the internal processes generated by computational simulations giving rise to behaviour.

    The Auckland Face Simulator is being developed to cost effectively create extremely realistic and precisely controllable models of the human face and its expressive dynamics for Psychology research.

    We are developing the technology to simulate faces both inside and out. We simulate how faces move and how they look, and even their underlying anatomic structure.

    We are developing a visual modelling methodology for the construction, visualisation and animation of neural systems called Brain Language [BL], a novel simulation environment for neural models.

    This allows users to create animations and real-time visualisations from biologically based neural network models, allowing simulation effects to be viewed in an interactive context. Such a visual environment is not only suitable for visualising a simulation; it is also ideal for model development.

    We are developing computer vision based systems to track and analyse facial expression and state of the art algorithms to solve for individual facial muscle activation.

    Applications range from real-time expression recognition to microdynamic interaction analysis for psychology research.

    http://www.abi.auckland.ac.nz/en/about/our-research/animate-technologies.html
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    This Freaky Baby Could Be the Future of AI. Watch It in Action

    https://www.youtube.com/watch?v=yzFW4-dvFDA

  • Practical Machine Learning Tutorial with Python Intro p.1

    Practical Machine Learning Tutorial with Python Intro p.1

    The objective of this course is to give you a holistic understanding of machine learning, covering theory, application, and inner workings of supervised, unsupervised, and deep learning algorithms.

    In this series, we’ll be covering linear regression, K Nearest Neighbors, Support Vector Machines (SVM), flat clustering, hierarchical clustering, and neural networks.

    For each major algorithm that we cover, we will discuss the high level intuitions of the algorithms and how they are logically meant to work. Next, we’ll apply the algorithms in code using real world data sets along with a module, such as with Scikit-Learn. Finally, we’ll be diving into the inner workings of each of the algorithms by recreating them in code, from scratch, ourselves, including all of the math involved. This should give you a complete understanding of exactly how the algorithms work, how they can be tweaked, what advantages are, and what their disadvantages are.

    In order to follow along with the series, I suggest you have at the very least a basic understanding of Python. If you do not, I suggest you at least follow the Python 3 Basics tutorial until the module installation with pip tutorial. If you have a basic understanding of Python, and the willingness to learn/ask questions, you will be able to follow along here with no issues. Most of the machine learning algorithms are actually quite simple, since they need to be in order to scale to large datasets. Math involved is typically linear algebra, but I will do my best to still explain all of the math. If you are confused/lost/curious about anything, ask in the comments section on YouTube, the community here, or by emailing me. You will also need Scikit-Learn and Pandas installed, along with others that we’ll grab along the way.

    Machine learning was defined in 1959 by Arthur Samuel as the “field of study that gives computers the ability to learn without being explicitly programmed.” This means imbuing knowledge to machines without hard-coding it.

    https://pythonprogramming.net/machine-learning-tutorial-python-introduction/
    https://twitter.com/sentdex
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  • Blind People can ‘See’ Facebook by Artificial Intelligence

    Blind People can ‘See’ Facebook by Artificial Intelligence

    Facebook has introduced a new artificial intelligence system today that can describe photos to visually impaired users.

  • Simple Artificial Intelligence (AI) coding in Scratch

    Simple Artificial Intelligence (AI) coding in Scratch

    In this episode Grace shows us an example of simple artificial intelligence coing in Scratch. Here she shows us how to create a platformer game that learns how to jump over a movable obstacle.

  • Hello World – Machine Learning Recipes #1

    Hello World – Machine Learning Recipes #1

    Six lines of Python is all it takes to write your first machine learning program! In this episode, we’ll briefly introduce what machine learning is and why it’s important. Then, we’ll follow a recipe for supervised learning (a technique to create a classifier from examples) and code it up.

    Follow https://twitter.com/random_forests for updates on new episodes!

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    And here’s our playlist: https://goo.gl/KewA03

  • Tyche: The True AI Companion for Kids

    Tyche: The True AI Companion for Kids

    TYCHE is an AI robot companion for children. It creates an atmosphere that promotes learning, socializing, and playing as it enhances the imagination and creativity of young minds. The robot talks, listens, thinks and reasons to plan activities and solve problems.

    https://tyche.club/

  • How artificial intelligence will make technology disappear | Rand Hindi | TEDxÉcolePolytechnique

    How artificial intelligence will make technology disappear | Rand Hindi | TEDxÉcolePolytechnique

    When is the last time you had dinner with someone without checking Facebook or Instagram on your phone? With smartphones and connected objects invading our everyday lives, it is getting harder and harder to connect with people nowadays. Rand Hindi astounds us by proposing a solution to this problem that might just change our lives.
    Join us on our website and on social networks:
    http://tedxecolepolytechnique.com/
    https://www.facebook.com/tedxecolepolytechnique
    https://twitter.com/TEDxEP

    Rand Hindi started programming at ten years old. He founded his first startup when he was fourteen and his web development agency at fifteen. After getting his PhD in Bioinformatics he continued his entrepreneurial activities, attracting attention from Forbes and being named in their “30 people under 30 to watch” list. He aims to profoundly change our lives and relationship with technology through his products and ideas.

    This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx

  • How can kids talk to Tyche AI better?

    How can kids talk to Tyche AI better?

    While you interact with Tyche more and more, especially kids, they develop the power to express themselves better. Tyche learns incrementally to be able to carry out intelligent conversations with humans. Visual and audio receptors are used to perceive the world around Tyche building its own beliefs.

  • BRETT the Robot learns to put things together on his own

    BRETT the Robot learns to put things together on his own

    Full Story: http://newscenter.berkeley.edu/2015/05/21/deep-learning-robot-masters-skills-via-trial-and-error/
    UC Berkeley researchers have developed algorithms that enable robots to learn motor tasks through trial and error using a process that more closely approximates the way humans learn, marking a major milestone in the field of artificial intelligence. In their experiments, the PR2 robot, nicknamed BRETT for Berkeley Robot for the Elimination of Tedious Tasks, used “deep learning” techniques to complete various tasks without pre-programmed details about its surroundings.
    Video footage courtesy of UC Berkeley Robot Learning Lab, edited by Phil Ebiner
    http://news.berkeley.edu/2015/05/21/deep-learning-robot-masters-skills-via-trial-and-error/
    http://www.berkeley.edu
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  • 3. Artificial Intelligence, challenges and Achievements (Malayalam) By Ashish Jose

    3. Artificial Intelligence, challenges and Achievements (Malayalam) By Ashish Jose

    Topic:- Artificial Intelligence (Malayalam) By Ashish Jose
    Seminar Organized By :- Freethinkers Facebook Group (https://www.facebook.com/groups/ftkerala4)
    Venue :- C Achutha Menon Hall
    Date :- 16-02-2014

  • A.I. Artificial Intelligence – Official® Trailer [HD]

    A.I. Artificial Intelligence – Official® Trailer [HD]

    Release Date: June 29, 2001

    It’s the mid-21st century and man has developed a new type of computer that is aware of its own existence. This computer has been utilized to help man cope with the melting of the polar ice caps and the submerging of many of its coastal cities. This form of artificial intelligence has been used in robots, and one such android, a young boy (Haley Joel Osment) is about to take an emotional journey to find out if he can ever be anything more than a machine.

    Cast: Haley Joel Osment, Jude Law, Frances O’Connor, Sam Robards, Jake Thomas, Brendan Gleeson, William Hurt, Jack Angel, Ben Kingsley, Robin Williams

    Studio: Warner Bros. Pictures
    Director: Steven Spielberg
    Screenwriter: Steven Spielberg, Ian Watson
    Genre: Adventure, Drama, Sci-Fi

    Official Website: http://www.aimovie.com