Artificial Intelligence/Machine Learning Roundup #108

1. Mila » Professor in Machine Learning at UdeM

Faculty of Arts and Science / Department of Computer Science and Operations Research (DIRO)

In connection with the grant of the Canada First Research Excellence Fund (IVADO), the Department of Computer Science and Operations Research is seeking applications for three full-time tenure-track positions (two as assistant or associate professors, and one as associate or full professor), in areas related to machine learning and its applications (e. , healthcare, natural language processing, computer vision, robotics). The appointed candidates will have the possibility to join Mila, the largest academic research group in the area of deep learning, worldwide (see below for more info), and become an academic member of the IVADO data science community. Read More

2. ‘My name is Pepper,’ robot tells MPs

Pepper – the first robot to appear before a Parliamentary select committee – answers MPs’ questions about helping to care for older people.

The resident robot from Middlesex University was asked by chairman Robert Halfon to explain the artificial intelligence (AI) Careses project, which promotes independent living and aims to reduce pressure on health care services.

READ: Take me to your leader. Read More

3. M.I.T. Plans College for Artificial Intelligence, Backed by $1 Billion

Every major university is wrestling with how to adapt to the technology wave of artificial intelligence — how to prepare students not only to harness the powerful tools of A.

But the Massachusetts Institute of Technology is taking a particularly ambitious step, creating a new college backed by a planned investment of $1 billion. Schwarzman, chief executive of the Blackstone Group, the big private equity firm. Read More

4. Frontiers in Artificial Intelligence: collaborating to make the AI revolution happen

While Artificial Intelligence is not new, the current resurgence of interest is different: for the first time, we have the available data, the necessary computing power, and the financial investments to make the AI revolution happen. Frontiers in Artificial Intelligence is an innovative, new Open-Access journal that provides a home for research and collaborations in this exciting field.

Frontiers in Artificial Intelligence is led by an international group of 12 distinguished Chief Editors: Shlomo Argamon (Illinois Institute of Technology), Francisco Chiclana (De Montfort University), Dursun Delen (Oklahoma State University), Paolo Giudici(University of Pavia), Thomas Hartung (Johns Hopkins University), Enrique Herrera Viedma (University of Granada), Kristian Kersting (University Darmstadt), Sriraam Natarajan (UT Dallas), Sergei Nirenburg (Rensselaer Polytechnic University), Jochen Papenbrock (Firamis), Julita Vassileva (University of Saskatchewan) and Radboud Winkels (University of Amsterdam). Read More

5. DeepMind’s New Research Plan to Make Sure AI Is Safe

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6. Machine Learning Trick of the Day (8): Instrumental Thinking

· Read in 8 minutes · 1499 words · All posts in series ·

This trick is unlike the others we’ve conjured. This regression often makes a key assumption:  any noise only affects the regression targets y (see figure 1(left)). We explore this question here, and develop one solution based on instrumental variables. Read More

7. The new geopolitics of artificial intelligence

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8. Boston Dynamics’ robots are hard to pin down

Technologists and reporters started a Twitter fire yesterday to criticize consumer robot companies that post videos depicting super-impressive human-like action, but then fail to explain the limitations of their creations.

What’s going on: Boston Dynamics, a revered but very secretive robotics company, published two videos of their walking bots last week. Read More

9. Eta Compute Debuts Spiking Neural Network Chip for Edge AI

At Arm Tech Con today, West Lake Village, Calif. -based startup Eta Compute showed off what it believes is the first commercial low-power AI chip capable of learning on its own using a type of machine learning called spiking neural networks. A neural network that can do what’s called unsupervised learning can essentially train itself: Show it a pack of cards and it will figure out how to sort the threes from the fours from the fives. Read More

10. How Gandhi Would Lead Us Toward An AI Future – Innovation Excellence

by Greg Satell

Every discussion about artificial intelligence seems to alternate between utopia and dystopia. Some believe that the productivity unleashed through automation will lift up all of society, creating a world of superabundance and more meaningful work, while others see robots taking our jobs and an acceleration of trends favoring capital over labor. However, he was also more than a chess player who planned moves a few steps ahead of his adversaries. Read More

11. Stephen Hawking Said ‘Superhumans’ Will Replace Us. Was He Right?

Stephen Hawking apparently thought so. In the grand tradition of famous physicists making claims about subjects beyond their scope of expertise, the great British theorist left behind a collection of essays in which he speculated about and predicted the human future. 14 in the Sunday Times, Hawking argued that humanity risks being replaced by genetically modified “superhumans. Read More

12. Your next doctor’s appointment might be with an AI

“My stomach is killing me!”

“I’m sorry to hear that,” says a female voice. Dyspepsia is doctor-speak for indigestion. The female voice belongs to Babylon, part of a wave of new AI apps designed to relieve your doctor of needless paperwork and office visits—and reduce the time you have to wait for medical advice. Read More

13. Google’s AI is better at spotting advanced breast cancer than pathologists

The firm’s deep-learning tool was able to correctly distinguish metastatic cancer 99% of the time, a greater accuracy rate than human pathologists.

The system: The team trained an algorithm (named Lymph Node Assistant, or LYNA) to spot the features of tumors that have metastasized (that is, spread), which are notoriously difficult to detect. Its subsidiary DeepMind is using AI to look for signs of eye disease at Moorfields Eye Hospital in London, for example. Read More

14. Most Americans Can’t Tell the Difference Between a Social Media Bot and A Human, Study Finds – Slashdot

A new study

from Pew Research Center found that most Americans can’t tell social media bots from real humans

, and most are convinced bots are bad. “In contrast, most Americans surveyed in a study about fake news were confident they could identify false stories. Two-thirds of Americans have at least heard of social media bots, but only 16 percent say they’ve heard a lot about them, while 34 percent say they’ve never heard of them at all. Read More

15. Google’s AI-powered Piano Genie lets anyone improvise perfectly by bashing buttons

Machine learning is enabling some brilliant things in art and music. The latest example, from Google’s creative research team Magenta, is the Piano Genie — an AI program that lets you improvise fluently on the piano by simply bashing away at eight buttons. To enable this, they trained an AI program on a huge dataset of classical piano music, teaching it to predict what notes follow each other the same way your phone’s predictive text function guesses what you’ll write next. Read More

16. Researchers Call for More Humanity in Artificial Intelligence

Artificial intelligence researcher Fei-Fei Li has spent her career trying to make software smart—with some success. Lately she’s begun to ask herself a new question: How can we make smart software aligned with human values.
“As much as AI is showing its power, it’s a nascent technology,” Li said at the WIRED25 Summit in San Francisco Monday. Read More

17. Microsoft’s Nadella Says AI Can Make the World More Inclusive

Microsoft CEO Satya Nadella thinks we should talk more about how AI algorithms can expand the workforce now—by helping people with disabilities.

“There are a billion people in the world who don’t fully participate in our economies or societies,” Nadella said, at the WIRED25 Summit in San Francisco. “Technology can allow them to fully participate. Read More

18. [1810.05640] Inventory Balancing with Online Learning

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19. [1810.05921] Two Can Play That Game: An Adversarial Evaluation of a Cyber-alert Inspection System

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20. [1810.05983] Finding Similar Medical Questions from Question Answering Websites

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21. [1810.02980] Personality facets recognition from text

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22. Will 3D printing solve the affordable housing crisis?

3D printing’s impact on construction is slowly materializing.

Owning one’s own house—a dream of human beings ever since Cro-Magnons looked out of their caves at the retreating glaciers—has been sometimes more, sometimes less affordable. Currently, we’re in one of the less affordable phases. Read More

23. 116: Think robots are insecure? Prove it by hacking them; why the UK military loves robots for logistics; Microsoft bids on $10bn US DoD JEDI contract while Google withdraws

Want to take advantage of AI in the USA. R-Street recommends politicians focus on talent, data, hardware, and other key areas to ensure America can benefit from advances in AI…R-Street, a Washington-based thinktank whose goal is to “promote free markets and limited, effective government” has written a paper recommending how the US can take advantage of AI.   Read more: Reducing Entry Barriers in the Development and Application of AI (R Street). Read More