What good is all this data if we can’t figure out how to analyze it?
Category: Machine Learning
Stephen Wolfram recently gave a talk in the Studio Villa Bosch conference center: “The Future of Computation & Knowledge.”
In comparison to the human neo-cortex, olfaction is considered simple, a primitive affair. The smelling brain is overlooked in the light of such neurological virtuosities as abstract thought, or self-awareness.
In a groundbreaking paper published yesterday in Nature, a team of researchers led by DeepMind co-founder Demis Hassabis reported developing a deep neural network that was able to learn to play such games at an expert level.
In the news this week, Bill Gates expresses concerns about artificial intelligence dangers on Reddit. Has Microsoft joined the legion of AI doomsayers?
Newspapers are testimonials of history. The same is increasingly true of social media such as online forums, online communities, and blogs. By looking at the sequence of articles over time, one can discover the birth and the development of trends that marked society and history – a field known as “Culturomics”. But Culturomics has so far been limited to statistics on keywords.
Polymorphic entities have the same interfaces. Typically one ends up with a family of types of objects (e.g. classes). At any given time, if you are given an object of a family, you can interface to it the same way.
This is a double movie review, Computer Chess vs. Game Over — Kasparov And The Machine.
Video Friday: The Winograd Schema Challenge — In Conversation with Dr. Charlie Ortiz of Nuance Communications
I recently visited Nuance and talked with Dr. Charlie Ortiz about the Winograd Schema Challenge.
Machine learning technique transforms low resolution images into scalable mathematical functions that can reconstruct high resolution images from thumbnails.