Daily Artificial Intelligence News Roundup #116

1. An AI physicist can derive the natural laws of imagined universes

As a student, Galileo famously observed a lamp swinging in Pisa Cathedral and timed its swing against his pulse.

In recent years, AI systems have begun to find interesting patterns in data themselves and even derived certain laws of physics as a result. These guys have developed an AI system that copies Galileo’s approach and some of the other tricks that physicists have learned over the centuries. Read More

2. Honda is giving cars the ability to see around corners to avoid accidents

Traffic accidents are an unfortunate reality, and what may be most frustrating about these sometimes fatal incidents is that they can often be avoided. Honda has a plan to help cut down on accidents in one specific and common road feature: intersections. It adds a significant amount of vision to a vehicle by utilizing proprietary object recognition software and intersection-mounted cameras that provide a 360-degree image of action on the street up to 300 feet away. Read More

3. Robotic 2019 : International Spring School on Robotics

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4. Top 5 Machine Learning GitHub Repositories & Reddit Discussions (October 2018)


“Should I use GitHub for my projects?” – I’m often asked this question by aspiring data scientists. Scroll down to start learning. I have personally found Reddit an incredibly rewarding platform for a number of reasons – rich content, top machine learning/deep learning experts taking the time to propound their thoughts, a stunning variety of topics, open-source resources, etc. Read More

5. [1810.12936] NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval

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6. [1810.13166] Don’t forget, there is more than forgetting: new metrics for Continual Learning

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7. [1810.13197] The Many Moods of Emotion

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8. [1810.13306] Taking Human out of Learning Applications: A Survey on Automated Machine Learning

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9. Criminal law not keeping pace with digital world – report

Online communications law is incoherent and fails to protect victims of abuse from harassment such as “deepfake” pornography, according to a report by the Law Commission.

Commissioned by the Department for Digital, Culture, Media and Sport (DCMS), the study calls for the reform and consolidation of existing criminal legislation dealing with offensive and abusive communications. ”

The review looked at deployment of the Malicious Communications Act 1988, the Communications Act 2003 and offences that criminalise threatening and distressing behaviour in the Public Order Act 1986 and the Protection from Harassment Act 1997. Read More

10. Decision Theory

This tends to assume that we can detangle things enough to see outcomes as a function of actions.

For example, AIXI represents the agent and the environment as separate units which interact over time through clearly defined i/o channels, so that it can then choose actions maximizing reward. This means an agent can stably take the $5 because it believes “If I take the $10, I get $0”. Read More

11. Machines that learn language more like kids do: Computer model could improve human-machine interaction, provide insight into how children learn language

Among other things, this helps children establish their language’s word order, such as where subjects and verbs fall in a sentence.

In computing, learning language is the task of syntactic and semantic parsers. To learn the structure of language, the parser observes captioned videos, with no other information, and associates the words with recorded objects and actions. Read More

12. Reinforcement Learning with Prediction-Based Rewards

We’ve developed Random Network Distillation (RND), a prediction-based method for encouraging reinforcement learning agents to explore their environments through curiosity, which for the first time1 exceeds average human performance on Montezuma’s Revenge. RND achieves state-of-the-art performance, periodically finds all 24 rooms and solves the first level without using demonstrations or having access to the underlying state of the game. In unfamiliar states it’s hard to guess the output, and hence the reward is high. Read More

13. Building a Moral Machine: Who Decides the Ethics of Self-Driving Cars?

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14. What if AI can make us more human in the age of robotic automation?

“We now live in a global, exponential world,” Steven Kotler tells my coauthor Michael Ashley and I from his Santa Monica office. We’re interviewing the New York Times bestselling author and entrepreneur for our upcoming book: Uber Yourself Before You Get Kodaked: A Modern Primer on A.

“My organization, the Flow Genome Project, recently participated in Red Bull’s Hacking Creativity Project,” says Kotler. Read More

15. Why robots will build the cities of the future

Shinichi Sakamoto is 57, and works for Shimizu, one of Japan’s biggest construction companies.

“The thing is, statistics show a third of [Japanese construction] labourers are over 54 years old, and they are considering retiring so soon,” says Mr Sakamoto, who is deputy head of Shimizu’s production technology division. Better connectivity will make it easier for multiple robots to co-operate. Read More

16. Robot backpack gives helping hand

A robot attached to your body, designed to help with communication and teach new skills, has been created by Keio University and the University of Tokyo.

The operator of the Fusion bot, who can be located in a different country, uses a virtual reality headset and controllers to move the bot.

BBC Click’s Spencer Kelly finds out more. Read More

17. Spinal Stimulation Enables Three People With Paraplegia to Walk Again

Three men with paraplegia are able to walk after being treated with electrical stimulation of their spinal cords.

The Swiss research adds to the body of work reported by two other groups that have enabled paralyzed individuals to walk using the experimental electrical treatment.

Now the Swiss group, led by Grégoire Courtine, director of EPFL’s Center for Neuroprosthetics and Brain Mind Institute, says it is adding three more people to that list. Read More

18. ​iRobot and Google team up to understand your smart home

iRobot and Google have announced they’re looking at ways to integrate the Roomba-maker’s home maps with Google Assistant to extend instructions to other gadgets.

The collaboration centers on iRobot’s Roomba i7+ vacuum models’ ability to map home floor plans and remember room names.

According to iRobot, the home-mapping data could also be used to make it easier to set up new smart home gadgets and create new ways to automate the home. Read More

19. The world’s first robot delivery service is launching in the UK

A new service has launched in Milton Keynes in the UK that allows people to order deliveries by robot.

The service: Residents can get parcels sent to a depot and receive a notification once they arrive. They can then get the items delivered to their door by robot, at a time of their choosing. Read More

20. Experimental AI Lie Detector Will Help Screen EU Travelers – Slashdot

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21. How NASA Will Use Robots To Create Rocket Fuel From Martian Soil – Slashdot

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22. MIT Deploys Deep Learning for Analyzing Mammograms | NVIDIA Blog

Depending on which radiologist analyzes a mammogram, there’s a huge variation in breast density readings — an assessment that indicates a patient’s risk for developing breast cancer.

One study found that radiologists classified anywhere between six and 85 percent of mammograms into the higher cancer risk areas of “heterogeneously dense” or “extremely dense.

Their deep learning model is being used by radiologists in Massachusetts General Hospital’s screening centers. Read More

23. Will ‘Deepfakes’ Disrupt the Midterm Election?


In June, Crootof bet that before 2018 is out an electoral campaign somewhere in the world will be roiled by a deepfake—a video generated by machine learning software that shows someone doing or saying something that in fact they did not do or say. Facebook says the elections have already attracted other, more conventional disinformation campaigns.

Concern about deepfakes is driven by recent striking advances in software to generate fake audio and video—and evidence that you don’t need an AI PhD to use them. Read More