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Surya Ganguli - A Theory of Multineuronal Dimensionality, Dynamics and Measurement

Surya Ganguli – A Theory of Multineuronal Dimensionality, Dynamics and Measurement

While technological revolutions in neuroscience now enable us to record from ever increasing numbers of neurons, the number we will be able to record in the foreseeable future remains an infinitesimal fraction of the total number of neurons in mammalian circuits controlling complex behaviors. Nevertheless, despite operating within this extreme under-sampling limit, a wide array of statistical…

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Artificial Intelligence Outlook - Jerry Kaplan 2017

Artificial Intelligence Outlook – Jerry Kaplan 2017

Jerry Kaplan, Entrepreneur; Author, Artificial Intelligence: What Everyone Needs to Know

In conversation with John Markoff, New York Times Technology Reporter

This program is generously supported by Accenture.

Over the coming decades, artificial intelligence will profoundly impact the way we live, work, wage war, play, seek a mate, educate our young and care for our elderly. It is likely to…

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Probabilistic Numerical Computation: A New Concept? - Professor Mark Girolami

Probabilistic Numerical Computation: A New Concept? – Professor Mark Girolami

The Turing Lectures: The Intersection of Mathematics, Statistics and Computation – Professor Mark Girolami: “Probabilistic Numerical Computation: A New Concept?”

Lecture blurb:

The vast amounts of data in many different forms becoming available to politicians, policy makers, technologists, and scientists of every hue presents tantalising opportunities for making advances never before considered…

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(via https://www.youtube.com/watch?v=1Qkst0Wh9Uc)

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(via https://www.youtube.com/watch?v=GfUeTSVLXjc)

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The Next Trillion Dollars AI Market

The Next Trillion Dollars AI Market

Benjamin Levy moderates a panel of Dr. Long Phan and Luis Dussan. The panelists discuss the potential of Artificial Intelligence to grow into lucrative markets for investors. Furthermore, they discuss the implications of the growth and proliferation of AI on everyday life.

Moderator: Benjamin Levy, Co-Founder, BootstrapLabs

Panelists: Dr. Long Phan, CEO & CTO, TopFlight Technologies Luis Dussan,…

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Can an Artificial Intelligence Create Art? From drawing machines to early digital art and now AI, we’ve wondered whether the fundamentally human seeming endeavor of ART MAKING can be done by machines.

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Principles of Hierarchical Temporal Memory (HTM): Foundations of Machine Intelligence "Principles of Hierarchical Temporal Memory (HTM): Foundations of Machine Intelligence" Jeff Hawkins, Co-Founder, Numenta Numenta Workshop Oct 2014 Redwood City CA Q&A:

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Privacy, Law and Ethics in Augmented Reality

Privacy, Law and Ethics in Augmented Reality

How will augmented reality shape the legal and ethical norms of our society? Will AR represent the death of privacy, or its rebirth? Where are the looming flash points for legal confrontations in the augmented space?

Attorney Brian D. Wassom, whose groundbreaking book Augmented Reality Law, Privacy, and Ethics was recently published by Elsevier, surveys these topics in this 45 minute panel.

AWE…

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Consciousness: How The Brain Creates The Mind

Consciousness: How The Brain Creates The Mind

Consciousness is one the most mysterious phenomenon in nature. After a long period of denial, scientists are now actively trying to understand how the brain gives rise to our conscious experience. More specifically, how modern brain imaging techniques allows us to uncover the interplay between the conscious and unconscious mind, not only in human adults but also in infants and animals. This…

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Understanding cancer behavior with F# - Evelina Gabasova

Understanding cancer behavior with F# – Evelina Gabasova

Evelina Gabasova – PhD student at University of Cambridge, interested in all things machine learning

Evelina is a machine learning researcher working in bioinformatics and statistical genomics. She is developing mathematical models which integrate different types of genomic data to distinguish cancer subtypes. She studied computational statistics and machine learning at University College London…

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Tomaso Poggio: M-theory Learning Framework

Tomaso Poggio: M-theory Learning Framework

Tomaso Poggio – Massachusetts Institute of Technology.

In Machine Learning and Computer Vision, M-Theory is a learning framework inspired by feed-forward processing in the ventral stream of visual cortex and originally developed for recognition and classification of objects in visual scenes. M-Theory was later applied to other areas, such as speech recognition. On certain image recognition tasks,…

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Seth Lloyd: Universal Deep Quantum Learning Quantum systems can generate non-classical correlations that can't be generated by classical systems. This talk investigates whether quantum devices can recognize patterns that can't be recognized classically.

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Are We Engineering The End Of Mankind?

Are We Engineering The End Of Mankind?

2015 – the year of artificial intelligence. From robots that may be able to grow and birth babies to advances in medicine with artificial intelligence at the forefront, tech companies are throwing their weight and resources behind A.I. Taking risks can be rewarding but it also has the potential for abuse of power.

Our panel is Nick Bostrom, founding director of the Future of Humanity Institute…

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Microsoft's "Xiaoice" (小冰) - China's Weather Robot

Microsoft’s “Xiaoice” (小冰) – China’s Weather Robot

China unveils its first ROBOT weather presenter: Microsoft’s Xiaoice has become an instant TV personality.

Translation By Google & RY

“I am glad that I can start my new job on this special day, because today is the winter solstice.” On Tuesday (22nd) morning, Microsoft (Asia) Internet Engineering Institute developed the artificial intelligence robot, “Xiaoice” to appeared for the first time on a…

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Rosalind Picard: Affective Computing & Emotion Technology

Rosalind Picard: Affective Computing & Emotion Technology

More than fifteen years ago Rosalind Picard set out to build the first computational systems to recognize and respond intelligently to emotion. She and her team created and tested the world’s first wearable sensors for processing emotion. They developed pattern analysis, machine learning, and signal processing algorithms for working with speech, physiology, facial expressions, and more. Today…

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How Deep Learning Will Enable Self-Driving Cars

How Deep Learning Will Enable Self-Driving Cars

Deep learning is a branch of artificial intelligence that teaches machines to understand unstructured data, such as images, speech and video, using algorithms—step-by-step data-crunching recipes.

In this meet-up with NVIDIA’s Mike Houston, you’ll learn how NVIDIA DIGITS, a deep learning training system, and the NVIDIA DRIVE PX car computer can understand the subtle nuances of what is happening…