Turing Award winners of the future? 3 inspiring AI projects we love

Project Description

Turing Award winners of the future?
3 inspiring AI projects we love

The ‘godfathers of AI’ – Yoshua Bengio, Geoffrey Hinton, and Yann LeCun – have won the Turing Award, a $1 million prize otherwise known as the “Nobel Prize of computing”. It’s difficult to think where we would be today if it wasn’t for these pioneers; anyone working in deep learning and AI today is standing on the shoulders of these giants.

At Anyline, we’re inspired every day by how AI is transforming the world around us, so to mark this occasion, we are highlighting 3 of our fellow innovators who could make our lives better and smarter in the future.

1. deepWay navigation for blind people

From braille to screen-reading, technology gives blind and visually impaired people the tools to participate fully in almost all aspects of life. But when it comes to getting from A to B independently, options are more limited.

Guide dogs are common in many countries around the world, but are very expensive. According to leading charities, the price of training a pup into a licensed guide dog starts at around $40,000. This puts them out of reach of millions of blind and visually impaired people around the world.

(Photo credit: [email protected]: https://bit.ly/2ONliQF (CC BY-ND 2.0))

But one student in India might have a solution. Satinder Singh has developed a tool called deepWay, a navigation system which uses convolutional neural networks to guide its user through the street on their own. When the system detects the side of the pavement, a road-sign, or another person approaching, it alerts the user with an audio signal, and gives directions by touching the side of their face with a small panel.

Satinder admits that for now, his prototype is “not the most elegant”, but his invention has huge potential to become a safe and cost-effective solution for blind and visually impaired people in the near future.

2. Infervision is using AI to detect strokes

Strokes happen when the blood supply to the brain is blocked. Although there are ways to reduce the risks, they can happen to anyone at any time of their life, and when it does, it’s vital to act FAST.

Until now, there has been no reliable method of measuring the amount of blood lost before a patient reaches medical care, leaving doctors to make an estimate using no more than a mathematical formula.

By training their algorithms with over 100,000 annotated medical image scans, Infervision is developing a faster and more accurate system to detect strokes when they happen. Every second counts when a stoke happens, so faster diagnoses could make the difference between life and death.

Infervision stroke-detection technology is already being piloted in 4 hospitals in China, so with luck, it will soon be saving lives and transforming stroke diagnosis and treatment around the world.

3. Eightfold want a fairer job market for everyone

There is growing concern that AI can perpetuate the biases and prejudices of people. This can happen for different reasons, from insufficient data, to developers choosing key attributes that implicitly discriminate against certain people.

Even industry giants can be affected: MIT Technology Review reported that Amazon’ had to abandon an internal recruiting tool that turned out to be biased against female candidates!

Ashutosh Garg, the CEO of Eightfold sees things differently. Rather than discriminating, he thinks AI could instead drive us into a more meritocratic age, when your job prospects are decided on your ability to learn new things, rather than your connections.

That’s why Eightfold are developing machine learning to help find the best people for the job tomorrow, and not just for the task at hand right now. Ashutosh believes this is the only way to manage talent today that makes sense – the days of the lifelong job are over; people and companies need to be adapting and learning every day to keep ahead of the curve.

He also wants to use AI to anonymise all the data that often leads to biased hiring decisions, such as  age, gender and ethnicity, and focus instead on what is relevant to the job on offer.

Conclusion

We’re always excited to see what new innovations are coming around the corner, so if you are working on, or know of  some new world-beating AI, let us know!

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