Artificial Intelligence/Machine Learning Roundup #32

1. We still don’t know much about the jobs the AI economy will make—or take

If you want to determine the true impact the AI revolution will have on the US economy, well, you may have to wait a bit. That was, essentially, the message from experts speaking today at MIT Technology Review’s EmTech Next conference in Cambridge, Massachusetts, where they discussed the future of work and the changes—expected and as yet unknown—that artificial intelligence, robotics, and other emerging technologies will bring to the US job market.

Robert Solow, a Nobel prize-winning economist and MIT professor, said on stage that it’s “hard to say” whether AI will bring about a kind of technological shakeup different from ones we’ve seen in the past. Read More

2. Fractured Vision –

The question of what fuels this fear is, I think, at the core of trying to solve the problem. Why do we not like change.
A fear of change, coupled with a fear of something more intelligent than us, lends itself rather readily to technophobia — a trait which is exhibited by great portions of the world, and is preventing us from building for the future. Read More

3. AI Expo: 7 free things you can get involved with at the leading AI event in Amsterdam

AI Expo: 7 free things you can get involved with at the leading AI event in Amsterdam

Arriving in Amsterdam on the 27–28 June, the second annual Europe event will host 2 co-located events covering IoT and Blockchain, with 8,000 attendees expected to attend including CTO’s, CDO’s, Head’s of Innovation and Technology, IT Directors, Developers & Start-Up’s, OEM’s, Government, Automotive, Operators, Technology Providers, Investors, VCs and many more. The AI Expo will showcase the most cutting-edge technologies from more than 300 exhibitors and provide insight from over 300 speakers sharing their unparalleled industry knowledge and real-life experiences. Expect to see demos and booths from Microsoft, IBM, PTC, Kore, Hercules, Thales, Rutronik, Enterprise Ethereum Alliance, BPU Holdings, Start-up Amsterdam, ML6, Bottos, Ortec Data Science, Adani, NTR Labs, Prosper BI and many more. Read More

4. Training an AI to Recognize Cigarette Butts – Adam Kelly –

Training an AI to Recognize Cigarette Butts

I’ve had pretty impressive initial results with the cigarette butt detector I hinted at in my last post. As I’ve been learning the fundamentals of deep learning, I’ve been considering what problems it could solve (rather than how I can take over the world). As an experiment, I decided to see if I could train a neural network to recognize cigarette butts in images. Read More

5. 8 Ways How AI Can Drive Better Decision-Making

Artificial intelligence can benefit businesses of all sizes. There’s no doubt that AI is a game-changer: In 2017, studies showed hedge funds that run on AI dwarfed human alternatives, result in yearly returns of 8. Retailers and services can also use AI to optimize dynamic pricing within minutes, whereas it would take a human hours or even days to compute the necessary data. Read More

6. Teaching a computer to play Tic Tac Toe – Carsten Friedrich –

Most people will be familiar with Tic Tac Toe and more than likely you will have played it at some stage of their life.

The game is rather simple. In fact, it can be played by young children and Tic Tac Toe boards can often be found at playgrounds:

If you have played Tic Tac Toe a couple of times you will have quickly realised that it is quite easy to master. Read More

7. Drawing Anime Girls With Deep Learning –

We like to do side projects like AI for music videos, and the party button. The idea was to try out an adversarial neural network that generates new anime faces after training on a set of human-created anime faces. A GAN contains a generator that makes new images, and a discriminator that gives the generator constructive feedback. Read More

8. The Short-Term Ethical Concerns of AI – Adel Nehme –

From articles that suggest that machines have developed their own language to pop culture-inspired depictions of the dangers of Artificial Intelligence, we are slowly losing the ability to filter fact from fiction and failing to see the signal in the noise. Artificial Intelligence (hereafter called AI) is a computer system that can perform tasks usually reserved for human cognition. Recently, popular media has been using terms such as “artificial intelligence”, “machine learning” and “deep learning” interchangeably. Read More

9. Pedro Domingos on The Origins of Human Knowledge – The Startup –

Pedro Domingos on The Origins of Human Knowledge

The quality and shape of human decision-making is taking a profound leap forward thanks to new partners: artificial intelligence and machine learning. He wrote The Master Algorithm, which I swallowed whole and have been digesting every since.

I was fortunate enough to have a long and fascinating conversation with him over dinner one night which I hoped would never end — but that ended up leading to this interview, in which we explore new sources of knowledge, why white collar jobs are easier to replace than blue collar jobs, centaur chess players, and so much more. Read More

10. Keras vs TensorFlow – Anais Dotis –

The following analogies help to illustrate Keras’ function and purpose.

Analogy One: Keras is to TensorFlow as seaborn is to matplotlib

Seaborn is a high-level interface based off of matplotlib. If I wanted to make a scatterplot with a linear regression fit with x and y labels using seaborn, I would only need 3 lines of code:

However, if I wanted to create the same plot in matplotlib I would have do something like:

Seaborn is the simpler and efficient way to produce a standard scatterplot graph with all of the expected features. Read More

11. Groundbreaking Treatment Cures Woman’s Advanced Breast Cancer in World First

Doctors and cancer patients around the world are taking note of an incredible piece of news. A new therapy has reportedly cured a woman diagnosed with advanced breast cancer which had spread throughout her body. The team of doctors used patient Judy Perkins’s own immune cells to combat the disease. Read More

12. Artificial intelligence trained to analyze causation

What caused it. However, some of the ways in which humans try to understand events, such as resorting to superstition, cannot explain what is actually going on.

To really know what caused an event, we need to look at causality—how information flows from one event to another. Read More

13. Researchers use artificial intelligence to identify, count, describe wild animals

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14. [1806.01353] Natural Language Generation for Electronic Health Records

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15. [1806.01486] Forecasting Crime with Deep Learning

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16. [1806.01610] Generative Reversible Networks

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17. [1806.01738] Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer’s Disease

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18. [1806.01709] Human-like generalization in a machine through predicate learning

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19. US government to use facial recognition technology at Mexico border crossing

The US government is deploying a new facial recognition system at the southern border that would record images of people inside vehicles entering and leaving the country.

The project, which US Customs and Border Protection (CBP) confirmed to the Guardian on Tuesday, sparked immediate criticisms from civil liberties advocates who said there were a host of privacy and constitutional concerns with an overly broad surveillance system relying on questionable technology.

The US has been aggressively expanding its monitoring and targeting of people at the southern border and surrounding regions, and there have been increasing concerns about border agents and the Transportation Security Administration (TSA) searching electronic devices. Read More

20. The White House promises to release government data to fuel the AI boom

Donald Trump’s chief technology advisor, Michael Kratsios, said today that the US government would release any data that might help fuel AI research in the United States, although he didn’t specify immediately what kind of data would be released or who would be eligible to receive the information. “We’d love to hear from any academic that has any insights.

Kratsios argued that the White House is quietly pushing an aggressive policy, pointing to examples of research projects that have received federal funding. Read More

21. How Will Microsoft Handle GitHub’s Controversial Code?

After a weekend of rumors, Microsoft officially announced Monday that it will acquire the code repository site GitHub for $7. It’s in many ways a natural fit Microsoft, which has in recent years warmed up to open source. The tech giant will face similar content moderations challenge that peers like Facebook and Google have, but with code instead of speech. Read More

22. You can’t make this stuff up: Amazon warehouse robots slipped on popcorn butter

If you’re like me, you’ve fantasized about watching a robot, so perfectly engineered for its particular task, just freakin’ eat it. Well, you’re in luck: apparently, some popcorn butter fell off a shelf onto the floor of an Amazon fulfillment center. That confused the hell out of a bunch of warehouse robots. Read More