^CategoryProgramming

^{Type
post

Author
Jonathan Bartlett
Date
December 28, 2019

Categorized
Programming

Tagged
Google, IBM, Quantum Computing, Quantum Supremacy}

2019 AI Hype Countdown #3: Quantum Supremacy? Less Supreme Than It Sounded

_{It’s possible that Google’s result can be generalized to more useful scenarios than the test case though it isn't immediately obvious how} _{Jonathan Bartlett

December 28, 2019

5

Programming}

What Google really achieved was increased stability in its quantum computing platform—keeping qubits stable has been a hard problem in quantum computing for a long time. That was certainly a step forward, but advertising it as “quantum supremacy” was certainly a classic exercise in hype.

^{Type
post

Author
Jonathan Bartlett
Date
December 27, 2019

Categorized
Artificial Intelligence, Medicine and Health, Neuroscience, Philosophy of Mind, Programming, Transhumanism

Tagged
Ray Kurzweil, transhumanism}

2019 AI Hype Countdown #5: Transhumanism never grows old

_{The idea that we can upload our brains to computers to avoid death shows a fundamental misunderstanding of the differences between types of thinking} _{Jonathan Bartlett

December 27, 2019

5

Artificial Intelligence, Medicine and Health, Neuroscience, Philosophy of Mind, Programming, Transhumanism}

Computers are very effective but they operate with a very limited set of causal abilities. Humans work from an entirely different set of causal abilities. Uploading your brain to a computer is not a question of technology. It can’t work in principle.

^{Type
post

Author
Robert J. Marks
Date
December 17, 2019

Categorized
Artificial Intelligence, Programming

Tagged
Moore's Law, Parallel computing, Roger Penrose}

Moore or Less: Why the Exponential Speed of AI Can’t Be Sustained

_{Faster computers only help the performance of AI algorithms that require search marginally.} _{Robert J. Marks

December 17, 2019

4

Artificial Intelligence, Programming}

Exponential growth is often the beginning of a sigmoid or s-shaped curve where growth that appears to be exponential but eventually slows and reaches a saturation point. We see this in nature, for example, in bacteria.

^{Type
post

Author
Brendan Dixon
Date
December 17, 2019

Categorized
Artificial Intelligence, Business and Finance, Programming

Tagged
AI Winter, Deep Learning, Neural networks}

Just a light frost—or AI winter?

_{It’s nice to be right once in a while—check out the evidence for yourself} _{Brendan Dixon

December 17, 2019

4

Artificial Intelligence, Business and Finance, Programming}

About a year ago, I wrote that mounting AI hype would likely give way to yet another AI winter. Now, according to the panelists at “the world’s leading academic AI conference” the temperature is already falling.

^{Type
post

Author
News
Date
December 10, 2019

Categorized
Programming

Tagged
Computer History, Jonathan Bartlett, PlayStation 3, Supercomputers}

Jonathan Bartlett recalls the Rise and Fall of PlayStation 3 Supercomputers

_{And how, at one point, he got kicked out of a WalMart on that account. Hey, high tech means vulnerability} _{News

December 10, 2019

10

Programming}

When the PlayStation 3 came out, there was no other computer like it (late 2006/early 2007). The design was especially appealing for two uses: high-speed graphics and scientific calculations. So, despite its reputation, it got used for purposes other than playing games.

^{Type
post

Author
Eric Holloway
Date
November 12, 2019

Categorized
Artificial Intelligence, Philosophy of Mind, Programming

Tagged
Featured, Google, halting oracle, IBM, Kolmogorov complexity, Quantum Computing, Quantum Supremacy, Solomonoff induction}

Google vs. IBM?: Quantum Supremacy Isn’t the Big Fix Anyway

_{If human thought is a halting oracle, then even quantum computing will not allow us to replicate human intelligence} _{Eric Holloway

November 12, 2019

8

Artificial Intelligence, Philosophy of Mind, Programming}

Google’s quantum supremacy claim is certainly fascinating and controversial, but even if true, it ultimately only amounts to an incremental and even inconsequential improvement in the state of AI and ML, due to the still-unmet need for a halting oracle.

^{Type
post

Author
Eric Holloway
Date
November 11, 2019

Categorized
Machine Learning, Programming

Tagged
Data snooping, Occam's razor, Probability}

Occam’s Razor Can Shave Away Data Snooping

_{The greater an object's information content, the lower its probability.} _{Eric Holloway

November 11, 2019

4

Machine Learning, Programming}

One technique to avoid data snooping is based on the intersection of information theory and probability: An object’s probability is related to its information content. The greater an object’s information content, the lower its probability. We measure a model’s information content as the logarithmic difference between the probability that the data occurred by chance and the number of bits required to store the model. The negative exponential of the difference is the model’s probability of occurring by chance. If the data cannot be compressed, then these two values are equal. Then the model has zero information and we cannot know if the data was generated by chance or not. For a dataset that is incompressible and uninformative, swirl some tea…

^{Type
post

Author
Brendan Dixon
Date
November 9, 2019

Categorized
Machine Learning, Programming

Tagged
Racism, sexism}

Big Tech Tries to Fight Racist and Sexist Data

_{The trouble is, no machine can be better than its underlying training data. That’s baked in} _{Brendan Dixon

November 9, 2019

4

Machine Learning, Programming}

The problem with machine learning-based AI in police work is not so much its inherent bias (none of us is bias-free) but the delegation to a machine of what should be a human decision.

^{Type
post

Author
Eric Holloway
Date
November 7, 2019

Categorized
Education, Programming

Tagged
Data snooping, Ronald Fisher}

Machine Learning, Part 3: Don’t Snoop on Your Data

_{You risk using a feature for prediction that is common to the dataset, but not to the problem you are studying} _{Eric Holloway

November 7, 2019

4

Education, Programming}

As long as we can establish that our theories, hypotheses, and/or models are independent of the data, then we can trust that their predictive power will generalize beyond the data we have observed.

^{Type
post

Author
Eric Holloway
Date
November 5, 2019

Categorized
Education, Machine Learning, Programming

Tagged
Algorithms, discrimination, Machine Learning, Supervised Learning}

Machine Learning, Part 2: Supervised Learning

_{Machine learning isn’t hard to understand; it’s just different. Let’s start with the most common type} _{Eric Holloway

November 5, 2019

4

Education, Machine Learning, Programming}

The neat thing about machine learning is that the algorithm can extract general principles from the dataset that can then be applied to new problems. It is like the story that Newton observed an apple fall and then derived from it the general law of gravity that applies to the entire universe.

^{Type
post

Author
Denyse O'Leary
Date
October 3, 2019

Categorized
Artificial Intelligence, Arts & Culture, Ethics, Programming

Tagged
chatbots, facial recognition systems, Racism}

Has AI Been Racist?

_{AI is, left to itself, inherently unthinking, which can result in insensitivity and bias} _{Denyse O'Leary

October 3, 2019

7

Artificial Intelligence, Arts & Culture, Ethics, Programming}

Just any available data swatched into systems may embody prejudices that only become evident in use.

^{Type
post

Author
Jonathan Bartlett
Date
October 2, 2019

Categorized
Programming

Tagged
Apple (company), Augmented Reality, Featured, iOS 13}

A Quick Guide to Augmented Reality

_{Now that Apple is integrating Augmented Reality Into iOS 13, here are some things you can do with it} _{Jonathan Bartlett

October 2, 2019

7

Programming}

While iOS 13 has some amazing features, it also has some significant limitations. The biggest one is that the tracking between the real world and the virtual world does not extend to GPS.