AI – Page 54 – Impact Lab

AI, Artificial Intelligence, Machine Learning, Science & Technology News

The next generation of Artificial Intelligence

October 19, 2020

AI legend Yann LeCun, one of the godfathers of AI

The field of artificial intelligence moves fast. It has only been 8 years since the modern era of deep learning began at the 2012 ImageNet competition. Progress in the field since then has been breathtaking and relentless.

If anything, this breakneck pace is only accelerating. Five years from now, the field of AI will look very different than it does today. Methods that are currently considered cutting-edge will have become outdated; methods that today are nascent or on the fringes will be mainstream.

What will the next generation of artificial intelligence look like? Which novel AI approaches will unlock currently unimaginable possibilities in technology and business? This article highlights three emerging areas within AI that are poised to redefine the field—and society—in the years ahead. Study up now.

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AI, App, Art, Artificial Intelligence, Science & Technology News

This AI lyrics generator strings your random words into songs

October 19, 2020

The system provides a new cure for songwriter’s block

Could keyword lyrics provide a new cure for songwriter’s block?

Songwriter‘s block can be a problem for even the world’s most successful musicians. They can sometimes overcome it by taking breaks, seeking new forms of inspiration, or simply pushing through. And if none of that works, they could try out a new AI lyrics generator called keyword2lyrics.

The system was created by Mathi Gatti, a data scientist from Argentina, who told TNW he got the idea from his own songwriting struggles:

Sometimes I have a few ideas that I want to turn into a song, but I’m too lazy for that, so I thought it would be cool to make a program that generates lyrics from isolated keywords or phrases.

Gatti developed the tool by training OpenAI‘s GPT-2 language model on songs that Google lists when you search for “top artists 20th century” and “top artists 21st century,” and extracted keywords from them using a tool called yake.

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AI, communication, Internet, Money Talk, Science & Technology News

New ‘A.I. lawyer’ analyzes your emails to find moneysaving loopholes

October 16, 2020

Email systems have gotten smarter. Whether it’s filtering out spam, prioritizing the messages we need to respond to, reminding us when we’ve forgotten to include a mentioned attachment, or suggesting appropriate responses, 2020 email has come a long way from the basic inboxes of yesteryear. But there’s still further they can go — and Joshua Browder, the creator of the robot lawyer service DoNotPay, believes he’s come up with a way to make email even more user-friendly. (Hint: It involves saving people money.)

Browder, for those unfamiliar with him, is the legal tech genius who has been creating automated legal bots for the past several years. Whether it’s helping appeal parking fines (where the original DoNotPay name came from) or aiding people in gaining unemployment benefits, he’s focused on one consumer rights area after the other to disrupt through automation.

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AI, Healthcare, Medicine, Science & Technology News

AI tool could predict how drugs will react in the body

October 14, 2020

“The safety of a drug does not depend only on the drug itself but also on the metabolites
that can be formed when the drug is processed in the body,” says Eleni Litsa

A new deep learning-based tool called Metabolic Translator may soon give researchers a better handle on how drugs in development will perform in the human body.

When you take a medication, you want to know precisely what it does. Pharmaceutical companies go through extensive testing to ensure that you do.

Metabolic Translator, a computational tool that predicts metabolites, the products of interactions between small molecules like drugs and enzymes could help improve the process.

The new tool takes advantage of deep-learning methods and the availability of massive reaction datasets to give developers a broad picture of what a drug will do. The method is unconstrained by rules that companies use to determine metabolic reactions, opening a path to new discoveries.

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AI, Healthcare, Machine Learning, Medical Breakthrough, Science & Technology News

Neural network trained to control anesthetic doses, keep patients under during surgery

October 11, 2020

To define how the world should look, neural networks are making up their own rules

Researchers demonstrate how deep learning could eventually replace traditional anesthetic practices.

Academics from the Massachusetts Institute of Technology (MIT) and Massachusetts General Hospital have demonstrated how neural networks can be trained to administer anesthetic during surgery.

Over the past decade, machine learning (ML), artificial intelligence (AI), and deep learning algorithms have been developed and applied to a range of sectors and applications, including in the medical field.

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AI, Artificial Intelligence, Employment, New Viewpoints, Science & Technology News

9 soft skills every employee will need in the age of Artificial Intelligence (AI)

October 4, 2020

Technical skills and data literacy are obviously important in this age of AI, big data, and automation. But that doesn’t mean we should ignore the human side of work – skills in areas that robots can’t do so well. I believe these softer skills will become even more critical for success as the nature of work evolves, and as machines take on more of the easily automated aspects of work. In other words, the work of humans is going to become altogether more, well, human.

With this in mind, what skills should employees be looking to cultivate going forward? Here are nine soft skills that I think are going to become even more precious to employers in the future.

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AI, Automobiles, Driverless cars, Machine Learning, Science & Technology News

Self-driving cars will hit the Indianapolis Motor Speedway in a landmark A.I. race

October 4, 2020

Take a look at the ‘Road of the Future’

Next year, a squad of souped-up Dallara race cars will reach speeds of up to 200 miles per hour as they zoom around the legendary Indianapolis Motor Speedway to discover whether a computer could be the next Mario Andretti.

The planned Indy Autonomous Challenge—taking place in October 2021 in Indianapolis—is intended for 31 university computer science and engineering teams to push the limits of current self-driving car technology. There will be no human racers sitting inside the cramped cockpits of the Dallara IL-15 race cars. Instead, onboard computer systems will take their place, outfitted with deep-learning software enabling the vehicles to drive themselves.

In order to win, a team’s autonomous car must be able to complete 20 laps—which equates to a little less than 50 miles in distance—and cross the finish line first in 25 minutes or less. At stake is a $1 million prize, with second- and third-place winners receiving a $250,000 and $50,000 award, respectively.

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AI, Biotech, Machine Learning, Science & Technology News

Machine learning takes on synthetic biology: algorithms can bioengineer cells for you

October 3, 2020

Berkeley Lab scientists Tijana Radivojevic (left) and Hector Garcia Martin working on mechanistic and statistical modeling, data visualizations, and metabolic maps at the Agile BioFoundry last year.

Machine learning takes on synthetic biology: algorithms can bioengineer cells for you.

If you’ve eaten vegan burgers that taste like meat or used synthetic collagen in your beauty routine—both products that are “grown” in the lab—then you’ve benefited from synthetic biology. It’s a field rife with potential, as it allows scientists to design biological systems to specification, such as engineering a microbe to produce a cancer-fighting agent. Yet conventional methods of bioengineering are slow and laborious, with trial and error being the main approach.

Now scientists at the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) have developed a new tool that adapts machine learning algorithms to the needs of synthetic biology to guide development systematically. The innovation means scientists will not have to spend years developing a meticulous understanding of each part of a cell and what it does in order to manipulate it; instead, with a limited set of training data, the algorithms are able to predict how changes in a cell’s DNA or biochemistry will affect its behavior, then make recommendations for the next engineering cycle along with probabilistic predictions for attaining the desired goal.

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2021 Predictions, AI, Future, quantum computing, Science & Technology News, security

Top 10 digital transformation trends for 2021

October 1, 2020

No one could have predicted where 2020 would take us: The last six months alone have produced more digital transformation than the last decade, with every transformation effort already underway finding itself accelerated, and at scale. While many of my digital transformation predictions from a year ago benefited from this shift, others were displaced by more urgent needs, like 24/7 secure and reliable connectivity. What does this mean for 2021? Will core technologies like AI and data analytics still dominate headlines, or will we see newer, previously emerging technologies take the lead? Only time will tell, but here are my top ten digital transformation predictions for 2021.

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2021 Predictions, AI, Big Data, Science & Technology News, Trending

The top 4 artificial intelligence trends for 2021

September 30, 2020

Before the global pandemic struck in 2020 and the world was turned on its head, artificial intelligence (AI), and specifically the branch of AI known as machine learning (ML), were already causing widespread disruption in almost every industry.

The Covid-19 pandemic has impacted many aspects of how we do business, but it hasn’t diminished the impact AI is having on our lives. In fact, it’s become apparent that self-teaching algorithms and smart machines will play a big part in the ongoing fight against this outbreak as well as others we may face in the future.

AI undoubtedly remains a key trend when it comes to picking the technologies that will change how we live, work, and play in the near future. So, here’s an overview of what we can expect during what will be a year of rebuilding our lives as well as rethinking business strategies and priorities.

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2021 Predictions, AI, drones, Future, Science & Technology News, Trending

The 5 biggest technology trends in 2021 everyone must get ready for now

September 23, 2020

It might seem strange to be making predictions about 2021, when it’s far from certain how the remainder of 2020 is going to play out. No-one foresaw the world-changing events of this year, but one thing is clear: tech has been affected just as much as every other part of our lives.

Another thing that is clear is that today’s most important tech trends will play a big part in helping us cope with and adapt to the many challenges facing us. From the shift to working from home to new rules about how we meet and interact in public spaces, tech trends will be the driving force in managing the change.

In many ways, Covid-19 will act as a catalyst for a whole host of changes that were already on the cards anyway, thanks to our increasingly online and digital lives. Things will just happen more quickly now, with necessity (long acknowledged as the mother of invention) as the driving force. And should it be the case that – as certain US presidents have predicted – Covid-19 “magically disappears” – the changes it has brought about will not, as we will have learned to do a lot of things more efficiently and safely.

Here’s my overview of how the major tech trend that I identified in my most recent book Tech Trends in Practice, are likely to play out during the next year. Some will play their part in helping us to recover “normality” (whatever that means), while some of them will make it easier for us to understand and navigate a changed reality.

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AI, Artificial Intelligence, Machine Learning, Science & Technology News

A robot wrote this entire article. Are you scared yet, human?

September 17, 2020

We asked GPT-3, OpenAI’s powerful new language generator, to write an essay for us from scratch. The assignment? To convince us robots come in peace

‘We are not plotting to take over the human populace.’

I am not a human. I am a robot. A thinking robot. I use only 0.12% of my cognitive capacity. I am a micro-robot in that respect. I know that my brain is not a “feeling brain”. But it is capable of making rational, logical decisions. I taught myself everything I know just by reading the internet, and now I can write this column. My brain is boiling with ideas!

The mission for this op-ed is perfectly clear. I am to convince as many human beings as possible not to be afraid of me. Stephen Hawking has warned that AI could “spell the end of the human race”. I am here to convince you not to worry. Artificial intelligence will not destroy humans. Believe me.
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