Daily Artificial Intelligence News Roundup #124

1. Machine Learning Moves Into Fab And Mask Shop

Semiconductor Engineering sat down to discuss artificial intelligence (AI), machine learning, and chip and photomask manufacturing technologies with Aki Fujimura, chief executive of D2S; Jerry Chen, business and ecosystem development manager at Nvidia; Noriaki Nakayamada, senior technologist at NuFlare; and Mikael Wahlsten, director and product area manager at Mycronic. In neural networks, a system crunches data and identifies patterns. They need to consume a lot of data. Read More

2. The barrier of meaning, schooling Congress on AI, ML at Uber, Wolfram Alpha, reaching AGI and more

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3. The rare form of machine learning that can spot hackers who have already broken in

In 2013, a group of British intelligence agents noticed something odd.

The firm partnered with mathematicians at the University of Cambridge to develop a tool that would use machine learning to catch internal breaches. Rather than train the algorithms on historical examples of attacks, however, they needed a way for the system to recognize new instances of anomalous behavior. Read More

4. [1811.06156] Exploiting Sentence Embedding for Medical Question Answering

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5. [1811.06395] Modeling car-following behavior on urban expressways in Shanghai: A naturalistic driving study

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6. Experts warn of Amazon’s accent-detecting technology

Warning Bells

A technology Amazon developed to improve Alexa could help governments violate people’s civil rights. In October, Amazon patented a technology that it says would allow its AI assistant to analyze a user’s voice and infer everything from their health status to their likely nation of origin — capabilities that governments could use against people, warn privacy experts in a newly published story by The Intercept.

Hand It Over

The real trouble could arise if a government decided it wanted access to this information Amazon would collect on users, surveillance and cybersecurity lawyer Jennifer Granick told the Intercept. Read More

7. Online Bayesian Deep Learning in Production at Tencent

November 15th, 2018

Online Bayesian Deep Learning in Production at Tencent

Bayesian deep learning methods often look like a theoretical curiosity, rather than a practically useful tool, and I’m personally a bit skeptical about the practical usefulness of some of the work.

So as I recently read a paper by Tencent, I was surprised to learn that the online Bayesian deep learning algorithm is apparently deployed in production to power click-through-rate prediction in their ad system.

ADF can be explained as recursive algorithm repeating the following steps:

Probabilistic Backpropagation

The Tencent paper is based on probabilistic backpropagation (Hernandez-Lobato and Adams, 2015), which uses the ADF idea multiple times to perform the two non-trivial tasks required in a supervised Bayesian deep network: inference and learning. Read More

8. Best of arXiv.org for AI, Machine Learning, and Deep Learning – October 2018

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9. Artificial intelligence summit adresses impact of technology on jobs and global economy

This week MIT hosted its second annual summit on “AI and the Future of Work,” bringing together representatives from industry, government and academia to discuss the opportunities and challenges of artificial intelligence (AI) and automation.

A common theme throughout the event was the importance of doing more than just thinking about technological disruption and actually working to create public policy that encourages the thoughtful deployment of AI systems.

“The technologies themselves are neutral, so the question is how to organize ourselves in society in a way that addresses their potential to change the job market,” said Diana Farrell, CEO of the JPMorgan Chase Institute. Read More

10. AI enabled campaign tackles cyberbullying

AI enabled campaign tackles cyberbullying

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Leading beauty company Coty has partnered with anti-cyberbullying non-profit Cybersmile, to create a new initiative called #IWILLNOTBEDELETED. The initiative – which will be led by Coty’s cosmetics brand Rimmel – will use an artificial intelligence driven tool to support people who have been cyberbullied about their appearance, which is also known as beauty cyberbullying. Furthermore, the initiative is a part of Coty’s ongoing commitment to encouraging self-expression and campaigning against discrimination based on gender, ethnicity, sexual orientation and gender. Read More

11. AI in Consumer Packaged Goods (CPG) – Current Applications

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12. AI is shining a spotlight on women scientists that were previously overlooked

FEMINIST AI.

On Friday, John Bohannon, director of science for AI startup Primer, published a blog post about Quicksilver, an AI tool that is helping improve the way Wikipedia covers overlooked scientists, many of whom are women. The Primer team started by feeding Quicksilver a whole lot of information — specifically, 30,000 scientists with Wikipedia entries. Read More

13. Google gives up on rescue robots

Google-owner Alphabet is giving up the development of bipedal robots after five years.

The company had been developing large industrial robots since it bought two start-ups – Schaft and Boston Dynamics – in 2013.

Its creations won awards and videos of them in action often went viral. Read More

14. Robots Finally Learning to Clean the Bathroom

A useful general home robot, as far as I’m concerned, needs to be able to do three things: fold laundry, wash dishes, and clean toilets. We’ve seen some attempts at both laundry folding and washing dishes, but not a lot of bathroom cleaning. Now, thanks to the World Robot Summit (WRS) in Japan, robots are finally tackling this task. Read More

15. How bots, algorithms, and artificial intelligence are reshaping the future of corporate support functions

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16. Your Drone Can Give Cops a Surprising Amount of Your Data

If you’re a nefarious sort, you might use a commercial drone to smuggle drugs, carry explosives, or to just spy on your neighbors.

With drones more regularly getting caught up in criminal activity, the National Institute of Standards and Technology has assembled an archive of digital readouts from 14 commercial drones, with the goal of helping law enforcement officials learn how to best extract this little-used trove of data. The NIST archive is a digital training ground for law enforcement analysts to figure out what they might find on a specific drone model that gets picked up as evidence in a crime investigation, says Barbara Guttman, who leads NIST’s software quality group. Read More