Category Archives: artificial intelligence

“Applications of Deep Learning to ocean data inference and subgrid parameterization”

Posted on 5 February 2019 by

This is another nail in the coffin of the claim I heard at last year’s Lorenz-Charney Symposium at MIT that machine learning methods would not make a serious contribution to advancements in the geophysical sciences. T. Bolton, L. Zanna, “Applications … Continue reading →

Posted in American Meteorological Association, American Statistical Association, artificial intelligence, Azimuth Project, deep learning, deep recurrent neural networks, dynamical systems, geophysics, machine learning, Mathematics and Climate Research Network, National Center for Atmospheric Research, oceanography, oceans, science, stochastic algorithms | Leave a comment

These are ethical “AI Principles” from Google, but they might as well be `technological principles’

Posted on 28 June 2018 by

This is entirely adapted from this link, courtesy of Google and Alphabet. Objectives Be socially beneficial. Avoid creating or reinforcing unfair bias. Be built and tested for safety. Be accountable to people. Incorporate privacy design principles. Uphold high standards of … Continue reading →

Posted in American Statistical Association, artificial intelligence, basic research, Bayesian, Boston Ethical Society, complex systems, computation, corporate citizenship, corporate responsibility, deep recurrent neural networks, emergent organization, ethical ideals, ethics, extended producer responsibility, friends and colleagues, Google, Google Pixel 2, humanism, investments, machine learning, mathematics, moral leadership, natural philosophy, politics, risk, science, secularism, technology, The Demon Haunted World, the right to know, Unitarian Universalism, UU, UU Humanists | Leave a comment

“Hadoop is NOT ‘Big Data’ is NOT Analytics”

Posted on 8 April 2017 by

Arun Krishnan, CEO & Founder at  Analytical Sciences comments on this serious problem with the field. Short excerpt: … A person who is able to write code using Hadoop and the associated frameworks is not necessarily someone who can understand … Continue reading →

Posted in alchemy, American Statistical Association, artificial intelligence, big data, data science, engineering, Internet, jibber jabber, machine learning, natural language processing, NLTK, sociology, superstition | Leave a comment

Google’s DeepMind consistently beats Fan Hui, the European GO grandmaster

Posted on 27 January 2016 by

This is pretty amazing news. DeepMind’s program AlphaGo beat Fan Hui, the European Go champion, five times out of five in tournament conditions, the firm reveals in research published in Nature on 27 January. It also defeated its silicon-based rivals, … Continue reading →

Posted in artificial intelligence, deep recurrent neural networks, Go, machine learning, perceptrons | Leave a comment

Professor Marvin Minsky dies at 88: What a noble mind is here o’erthrown

Posted on 26 January 2016 by

As a prospective and actual graduate student in MIT’s Artificial Intelligence Laboratory during the years 1974-1976, it is difficult to convey the draw and the incisiveness of Minsky’s mind. As an undergraduate in Physics with a very keen interest in … Continue reading →

Posted in artificial intelligence, machine learning, Marvin Minsky', neural nets, perceptrons, Seymour Papert | Leave a comment