Tag Archives: AI

How artificial intelligence is changing astronomy

 How artificial intelligence is changing astronomy

Machine learning has become an essential piece of astronomers’ toolkits.
An android cups its hand over one ear of a pair of premium headphones, looking at a screen of data from a radio telescope in the background under a starry night sky

When most people picture an astronomer, they think of a lone person sitting on top of a mountain, peering into a massive telescope. Of course, that image is out of date: Digital cameras have long since done away with the need to actually look though a telescope.

But now the face of astronomy is changing again. With the advent of more powerful computers and sky surveys that generate unimaginable quantities of data, artificial intelligence is the go-to tool for the keen researcher of space. But where is all of this data coming from? And how can computers help us learn about the universe?

AI’s appetite for data

Chances are you’ve heard the terms “artificial intelligence” and “machine learning” thrown around recently, and while they are often used together, they actually refer to different things. Artificial intelligence (AI) is a term used to describe any kind of computational behavior that mimics the way humans think and perform tasks. Machine learning (ML) is a little more specific: It’s a family of technologies that learn to make predictions and decisions based on vast quantities of historical data. Crucially, ML creates models which exhibit behavior that is not pre-programmed, but learned from the data used to train it.

The facial recognition in your smartphone, the spam filter in your emails, and the ability of digital assistants like Siri or Alexa to understand speech are all examples of machine learning being used in the real world. Many of these technologies are now being used by astronomers to investigate the mysteries of space and time. Astronomy and machine learning are a match made in the heavens, because if there’s one thing astronomers have too much of — and ML models can’t get enough of — it’s data.

We’re all familiar with megabytes (MB), gigabytes (GB), and terabytes (TB), but data at that scale is old news in astronomy. These days, we’re interested in petabytes (PB). A petabyte is about one thousand TB, a million GB, or a billion MB. It would take around 10 PB of storage to hold every single feature-length movie ever made in 4K resolution — and it would take over a hundred years to watch them all.

READ MOREhttps://astronomy.com/news/2022/07/how-artificial-intelligence-is-changing-astronomy

What if AI becomes smarter than we are?

All bets are off if AI becomes smarter than people, develops ability to design machines

Task of imposing ethics and restraints on tech is greater now, writes Diane Francis.

GETTY IMAGES FILES Robust ethical and legal frameworks are needed to prevent the next pandemic or hazardous algorithm, Diane Francis warns.

Technology is bestowing wonderful opportunities and benefits to the world, but the acceleration of development, and lack of global regulatory control, represents the biggest threat going forward.

Cool toys, fancy devices and health-care cures are positive developments.

But less benign will be the development, without guard rails, of artificial intelligence that matches human capability by 2029. Worse yet, this will be followed by the spectre of what’s known as General AI — machines capable of designing machines.

Another worrisome field is synthetic biology, genetic engineering and the propagation of androids or AIS on two legs with personalities.

Mankind has faced similar technological challenges, notably nuclear weapons, but famous physicist Robert Oppenheimer rose to the challenge.

He ran the Manhattan Project to develop the atomic bomb, realized its danger, then spent decades lobbying leaders to create the Nuclear Non-proliferation Treaty, the cornerstone of nuclear control, which took effect in 1970.

Oppenheimer is the only reason why humanity didn’t blow itself to bits, but today there is no scientist of the stature of Oppenheimer to devote his life to ensuring governments bridle the transformative technologies under development now.

And the threat is greater. Bombs, after all, are controlled by human beings, not the other way around. But if AI becomes smarter than humans, then all bets are off.

The task of imposing ethics and restraints on science, technology and engineering is greater now.

Nuclear capability requires massive amounts of scarce materials, capital and infrastructure, all of which can be detected or impeded.

But when it comes to exponential tech, simply organizing governments or big corporations won’t do the trick because the internet has distributed knowledge and research capability across the globe.

This means the next pandemic or hazardous algorithm or immoral human biological experimentation can be conducted in a proverbial “garage” or in a rogue state.

The late, legendary physicist Stephen Hawking warned in 2017: “Success in creating effective AI could be the biggest event in the history of our civilization. Or the worst.

We just don’t know. So, we cannot know if we will be infinitely helped by AI, or ignored by it and sidelined, or conceivably destroyed by it.”

Tesla founder Elon Musk and others have been vocal about this risk, but international action is needed.

To date, these fears and ethical constraints have only been addressed in petitions and open letters signed by important scientists but these have not captured global attention, nor have they provoked a political movement.

In 1975, the Asilomar Conference on Recombinant DNA led to guidelines about bio-safety that included a halt to experiments that combined DNA from different organisms.

Then, in 2015, an open letter concerning the convergence of AI with nuclear weapons was signed by more than 1,000 luminaries, including Apple co-founder Steve Wozniak, Hawking and Musk.

They called for a ban on AI warfare and autonomous weapons, and eventually led to a United Nations initiative.

But four years later, the UN Secretary General was still urging all member nations to agree to the ban.

Only 125 had signed. Without robust ethical and legal frameworks, there will be proliferation and lapses. In November 2018, for instance, a rogue Chinese geneticist, He Jiankui, broke long-standing biotech guidelines among scientists and altered the embryonic genes of twin girls to protect them from the HIV virus.

He was fired from his research job in China, because he had intentionally dodged oversight committees and used potentially unsafe techniques.

Since then, he has disappeared from public view.

There’s little question that, as U.S. entrepreneur and engineer Peter Diamandis has said, “we live in extraordinary times.”

There is also much reason for optimism. But for pessimism, too.

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Tech sensors detect…

Three stories that appeared in today’s Montreal Gazette may interest the techies among you.

 

  1. Cryptocurrency “mining” spurs Eastern Townships
  2. Researchers create audible hockey puck
  3. Country urged to develop AI laws to tackle life and death problems

Cryptocurrency “mining” spurs Eastern Townships:  Since its inception in November 2017, Bitfarms has been rushing to retrofit factories in Quebec regions emptied out by the decline of the province’s manufacturing industries. the company leases a former Tupperware plant in Cowansville, an old carpet factory in Farnham and an ex-cocoa storage facility in St-Hyacinthe, all to mine crypto currency. And it is currently turning the former Sher-Wood hockey stick factory it bought in Sherbrooke into a fifth mining operation.

READ MORE

 
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Researchers create audible hockey puck: A team of Montreal university researchers has developed an audible hockey puck they say could revolutionize the sport for blind players.

READ MORE

 

Country urged to develop AI laws to tackle life and death problems: Despite its status as a machine-learning innovation hub,Canada has yet to develop a regulatory regime to deal with issues of discrimination and accountability to which AI systems are prone, prompting calls for regulation – including from business leaders.

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Université de Montréal prof wins $100K Killam Prize

Accolades piling up for AI researcher Bengio, who won the Turing Award last year and in 2017 was made an Officer of the Order of Canada

Yoshua Bengio, a computer science and operational research professor at the Université de Montréal, has been named one of this year’s Killam Prize recipients, along with U de M political science professor André Blais. Bengio has been recognized for his work on artificial intelligence.

Yoshua Bengio describes himself as more of an introvert than an extrovert, and the Canada Council just made his life a little harder.

On Thursday, the public arts funding agency named the Université de Montréal computer science and operational research professor one of this year’s Killam Prize recipients, alongside U de M political science professor André Blais, two professors from the University of Toronto and one from the University of Waterloo.

The awards have been piling up for Bengio, who last year won the Turing Award, often described as the Nobel Prize of computing, and in 2017 was named an Officer of the Order of Canada.

“I don’t particularly enjoy all this attention,” he said, reached in his U de M office, Thursday morning. “It’s good for the missions I’ve given myself, but I don’t take huge pleasure in ceremonies and awards.

“That said, it’s really important that in Canada we recognize the people who contribute markedly to our society because humans are still motivated by these things, not just by money. It feels good to do something greater than yourself.”

Bengio is one of the world’s leading researchers on artificial intelligence.

He is a founder and scientific director at the Montreal Institute for Learning Algorithms, a partnership between U de M and McGill, which in January opened its 90,000-square-foot headquarters in Mile Ex, and will receive $120 million in government funding over the next five years.

Continue reading Université de Montréal prof wins $100K Killam Prize

Canadian researchers who taught AI to learn like humans win $1M Turing Award

Yoshua Bengio, Geoffrey Hinton, Yann LeCun share ‘Nobel of computer science’ for work on deep learning
Yoshua Bengio, Geoffrey Hinton and Yann LeCun, left to right, are the winners of this year’s $1 million US Turing Award, the world’s top prize in computer science, the Association for Computing Machinery announced Wednesday. (Université de Montréal/Google/Facebook)

Three researchers, two of them Canadian, have won the world’s top award in computer science for developing the ability of computers to learn like humans, by imitating the human brain and how it functions using networks of “neurons.”

That allows computers to acquire new skills by looking at lots of examples and finding and recognizing patterns, as humans do.

Machine learning — based on “deep learning” and “neural networks” —  has led to the development of artificial intelligence that now powers everyday web and smartphone applications from voice, image and facial recognition to language translation. It’s increasingly being used in more complicated tasks like generating art, creating text and diagnosing cancer from images.

The Turing Award is described by the Association for Computing Machinery, which hands out the annual award, as the “Nobel Prize of Computing” and worth $1 million US. The association announced Wednesday that the 2018 award goes to:

  • Yoshua Bengio, professor at the Université de Montréal and scientific director of Mila, Quebec’s Artificial Intelligence Institute.
  • Geoffrey Hinton, emeritus professor at the University of Toronto, vice-president and engineer fellow at Google, and chief scientific advisor at the Vector Institute.
  • Yann LeCun, professor at New York University and vice-president and chief AI scientist for Facebook, who did his postdoctoral work at Hinton’s University of Toronto lab and then worked with Bengio at Bell Labs.

The Turing Award is named after British mathematician, computer scientist and Second World War codebreaker Alan Turing. It has been sponsored by Google since 2014, but the company said it’s not involved with the selection committee, which honours “lasting contributions to the field of computer science.”

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Robert J Sawyer interview re AI

Montreal is a leader in the field of AI. Just Google AI in Montreal, businesses and universities are all getting on the bandwagon. There is  hardly a week that goes by without an article in the Montreal Gazette. Why Montreal? I found this to be an interesting read. 

As one who read and enjoyed the WWW series by Robert J Sawyer, I i found this article intriguing when I saw it posted in File 770.

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Judging artificial intelligence on its prospects for judging us

Robert J. Sawyer makes the case for leveraging AI to improve ethics and fairness in civil society.

For his perspective on how humanity might relate to future artificial intelligences and what shape those interactions may take, we asked Sawyer about the dynamics of judgment and control; he also shared his overall sentiment on AI development.

READ MORE

Montreal conference on Artificial Intelligence

 

AI poses ethical double-edged sword, experts tell Montreal conference

Montreal Gazette JACOB SEREBRIN

Artificial intelligence has the power to eliminate mundane jobs and create tremendous wealth, but it could also lead to widespread unemployment and reinforce existing inequalities.

That was the message at the forum on the socially responsible development of artificial intelligence, a two-day conference that ended on Friday.

Montreal has an opportunity to take a leading role in lead in ensuring AI technology is used responsibly, said Marie-Josée Hébert, the vice-rector of Research, Discovery, Creation and Innovation at the Université de Montréal and one of the organizers of the conference.

The forum was intended to bring academic researchers together with industry and government to exchange ideas about the responsible development and use of AI, she said. That’s important because the technology has the power to change the foundations of our society, she said.

Issues raised at the forum ranged from who is legally liable if a selfdriving car gets in an accident, to the possibility AI will lead to widespread unemployment.

Some of the issues are already here — like the ability for the creators of AI systems and the producers of data to introduce their own biases into AI systems.

“If you have an algorithm that sees biased data, gender-biased, racially biased, biased based on economic status and so on, the algorithm is going to ingest that and result in a biased model,” Doina Precup, a professor of computer science at McGill and the head of Google-affiliated DeepMind’s Montreal research lab, said in a session at the conference.

While AI systems are currently tools used by people, in the future, there could be general AI systems that act on their own, she said, which raises further questions of responsibility.

“Are AIs ever going to get to a stage where they’re sufficiently complex to be responsible for what they do? That I think is an open question,” Precup said.

There are also issues related to monopoly power, Yoshua Bengio, a U de M professor and one of the founders of Element AI, which sells AI services to businesses, said in a speech at the event.

A handful of large companies could control the data required for AI systems to “learn” and hire the majority of top researchers, creating a situation where other businesses couldn’t catch up, Bengio said. He also raised the issue of autonomous robots with the ability to kill, calling on the Canadian government to take a similar approach to this technology as it took with landmines.

“We are really at the cusp of something that it is important,” Hébert said. “It’s important to initiate these conversations before it’s too late, but it’s going to be as important to maintain these conversations as we go.”

As part of that process, the forum has created what it calls the Montreal Declaration for a Responsible Development of Artificial Intelligence. Over the next few months, that document will be developed through a process of “co-creation” and consultation with the general public.

The goal is to “establish a consensus on basic principles that are representative of our values,” Hébert said, “that should all guide us to how we are going to live through this phase of innovation and transformation.”

We are at the cusp of something important. It’s important to initiate these conversations before it’s too late.

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Local Sensors Detect…

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http://www.npr.org/series/535644225/summer-reader-poll-2017-comics-and-graphic-novels

2  Microsoft creates and AI research lab

Microsoft has created a new research lab with a focus on developing general-purpose artificial intelligence technology, the company revealed today. The lab will be located at Microsoft’s Redmond HQ, and will include a team of more than 100 scientists working on AI, from areas including natural language processing, learning and perception systems.  READ MORE

3   FANTASIA: Filmmaker Jung’s twist on Nikita
FANTASIA
Kim Ok-bin stars in The Villainess, an action-packed thriller that opens the Fantasia International Film Festival Thursday evening at Concordia’s Alumni Auditorium.

Jung Byung-gil wastes zero time with niceties in his wham-bam action flick The Villainess, which had a midnight screening at the Cannes Film Festival, closed the New York Asian Film Festival and opens Montreal’s Fantasia International Film Festival on Thursday evening.

Therein, the South Korean director drops viewers into the thick of it: a black-clad individual enters an ominous industrial building in the middle of the night and begins killing everyone in sight.

Continue reading Local Sensors Detect…

Montreal’s Element AI to boost projects with $102M financing deal

Montreal Gazette  BERTRAND MAROTTE

Element CEO Jean-François Gagné, centre, speaks with staff in Montreal. His firm said new funding will allow it to hire hundreds of top researchers and expand worldwide with AI-based solutions. JOHN MAHONEY

Montreal-based Element AI, a key player in the city’s burgeoning artificial-intelligence sector, has clinched a major financing deal to fund future growth and job creation.

Element is set to announce on Wednesday that it has raised US$102-million from a group of investors led by San Francisco venture capital fund Data Collective (DCVC).

The deal is the largest Series A funding round for an AI company in history, according to Element.

The investment will allow Element to “accelerate its capabilities and invest in large-scale AI projects internationally, solidifying its position as the largest global AI company in Canada and creating 250 jobs in the Canadian high-tech sector by January 2018,” it said in a news release.

Element was founded last year by tech entrepreneurs Jean-François Gagné and Nicolas Chapados, Montreal venture capital fund Real Ventures, and Université de Montréal AI scientist Yoshua Bengio.

The company aims to make cutting-edge AI research and innovation available to other companies seeking to tap into AI and also help develop new firms in the rapidly growing field.

“Artificial intelligence is a ‘must have’ capability for global companies,” Element chief executive Gagné said. “Without it, they are competitively impaired if not at grave risk of being obseleted in place.

“Seasoned AI investors at DCVC understood this, and supported us to democratize the AI firepower reserved today for only the largest of tech corporations.”

The new funding will allow Element to hire hundreds of top researchers as well as expand internationally with AI-based solutions

for customers in such areas as cybersecurity, fintech, manufacturing, logistics, transportation and robotics, the company said.

Element boasts that it has “pioneered a unique, non-exploitative model of academic co-operation” whose talent and advanced research “matches or exceeds even the largest tech corporations’ reach and budgets.”

“The most serious problems facing global industry and government today involve too much complex and rapidly changing data for the cognitive capacity of even large numbers of human experts working together,” said DCVC managing partner Matt Ocko.

A central aspect of AI is machine learning, which involves the creation of computer neural networks that mimic human brain activity and can program themselves to solve complex problems rather than having to be programmed.

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Let’s capitalize on AI revolution

Montreal is welcoming leading technologists to the city this week for the C2 (commerce/creativity) conference, just as the city could be on the verge of becoming an international hub for Artificial Intelligence (AI) technology. Capitalizing on this brewing revolution will require governments to drastically alter traditional modus operandi, loosening their grip on the entrepreneurial class and suppressing nationalistic impulses.

Advocating for massive government spending with little restraint admittedly deviates from the tenor of these columns, but the AI business is unlike any other before it. Having leaders acting as fervent advocates for the industry is crucial; resisting the coming technological tide is, as the Borg would say, futile.

The roughly 250 AI researchers who call Montreal home are not simply part of a niche industry. Quebec’s francophone character and Montreal’s multilingual citizenry are certainly factors favouring the development of language technology, but there’s ample opportunity for endeavours with broader applications.

AI isn’t simply a technological breakthrough; it is the technological revolution. In the coming decades, modern computing will transform all industries, eliminating human inefficiencies and maximizing opportunities for innovation and growth — regardless of the ethical dilemmas that will inevitably arise.

“By 2020, we’ll have computers that are powerful enough to simulate the human brain,” said (in 2009) futurist Ray Kurzweil, author of The Singularity Is Near, a seminal 2006 book that has inspired a generation of AI technologists. Kurzweil’s projections are not science fiction but perhaps conservative, as some forms of AI already effectively replace many human cognitive functions. “By 2045, we’ll have expanded the intelligence of our human-machine civilization a billion-fold. That will be the singularity.”

Continue reading Let’s capitalize on AI revolution