AI researchers wants create a new academic discipline called “Machine Behavior”

“We’ve developed scientific methods to study black boxes for hundreds of years now, but these methods have primarily been applied to [living beings] up to this point,” says Nick Obradovich, an MIT Media Lab researcher and co-author of a new paper published last week in Nature. “We can leverage many of the same tools to study the new black box AI systems.”

The paper’s authors, a diverse group of researchers from industry and academia, propose to create a new academic discipline called “machine behavior.”

Read full Article here

New simple method promises to accelerate the arrival of self-driving cars

The laser sensors currently used on board of self-driving cars for the recognition of 3D objects are often an Achilles heel in the development of new generation vehicles, but a new method simple and cheap, proposed by researchers at Cornell University, could change the game.

“Cornell researchers have discovered that a simpler method, using two inexpensive cameras on either side of the windshield, can detect objects with nearly LiDAR’s accuracy and at a fraction of the cost”, writes Science Daily in an article.

“The common belief is that you couldn’t make self-driving cars without LiDARs,” explains Kilian Weinberger, associate professor of computer science at Cornell University. “We’ve shown, at least in principle, that it’s possible.”

Full article here

Yoshua Bengio, winner of the Turing award: “Killer drones are a big concern. There is a moral question, and a security question”

Yoshua Bengio, winner of the prestigious Turing award, talks about artificial intelligence during an interview with ‘Nature’.

Bengio argues that more responsibility is needed in research and development of artificial intelligence, especially in fields such as military and security.

“Killer drones are a big concern”, declared Bengio. “There is a moral question, and a security question. Another example is surveillance — which you could argue has potential positive benefits. But the dangers of abuse, especially by authoritarian governments, are very real”.

The full interview, here.

“Predict, Mountain View”, Google Brain’s AI write code based on your previous code

“At any given time, a developer will approach a code base and make changes with one or more intents in mind”, the members of the Google Brain team wrote in a paper, “It is … an interesting research challenge, because edit patterns cannot be understood only in terms of the content of the edits (what was inserted or deleted) or the result of the edit (the state of the code after applying the edit). An edit needs to be understood in terms of the relationship of the change to the state where it was made, and accurately modeling a sequence of edits requires learning a representation of the past edits that allows the model to generalize the pattern and predict future edits.”

Full paper on Arxiv.org

EU publishes new guidelines on Artificial Intelligence

The EU has published new guidelines on Artificial Intelligence, which are based on different principles such as transparency, algorithm control and respect for the Gdpr. The document was created with the advice of 500 experts from various sectors. After a pilot phase, a review is planned for 2020.

“Building on the work of the group of indipendente experts appointed in June 2018”, writes the EU in a statement, “the Commission is today launching a pilot phase to ensure that the ethical guidelines for Artificial Intelligence (AI) development and use can be implemented in practice. The Commission invites industry, research institutes and public authorities to test the detailed assessment list drafted by the High-Level Expert Group, which complements the guidelines.”

The full press release is available on the website europa.eu.

Panel at the International Journalism Festival 2019, AI: the China-USA duel

By 2030, China is aiming to become a world leader in artificial intelligence, undermining American technological primacy.

Among software, applications and social control, the real challenge between the two powers will be the AI one and will involve key sectors: from medicine, to smart cities, from agriculture to the military sector.

The race for AI from the two main world powers will also involve us and our data, the basis of all AI applications. To whom will we prefer to give our data in the future and how can we protect them? What are the approaches to managing Big Data in Washington and Beijing? And why will this end up influencing our lives too?

With: Fabio Chiusi (journalist and author), Carola Frediani (journalist and author), Simone Pieranni (China Files founder).

Source: International Journalism Festival (Video in italian language)

The materials of the future made by Artificial Intelligence?

Will artificial intelligence make the materials of the future? According to researchers from the University of Missouri-Columbia this is what will happen.

“If you put atoms in certain configurations, the material will behave differently”, explain Yuan Dong, a research assistant professor of mechanical and aerospace engineering and lead researcher on the study. “Structures determine the properties. How can you predict these properties without doing experiments? That’s where computational principles come in.”

Read the full article on ScienceDaily.com

A new infographic shows How AI is Being Deployed Across Industries

A new very complete infographic made by techjury.net, shows the various applications of artificial intelligence and robots in the various sectors of the industry.

The infographic, entitled ‘The AI Revolution’, illustrates very clearly different aspects of artificial intelligence such as its definition, the types of AI, its current and future applications and its diffusion in different areas of the planet.

Source (RoboticsBusinessReview)