Profile cover photo
Profile photo
A. I. Hub
33 followers -
Artificial Intelligence Resources for All
Artificial Intelligence Resources for All

33 followers
About
A. I. Hub's posts

Post has attachment
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…

Post has attachment
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…

Post has attachment
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…

Post has attachment
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. At Idea Channel, we think the answer is unequivocally, yes! Perhaps the better question would be,…

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

Post has attachment
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…

Post has attachment
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…

Post has attachment
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…

Post has attachment
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…

Post has attachment
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. Deep quantum learning architectures are…
Wait while more posts are being loaded