Lifeboat Foundation

Artificial Intelligence has been pegged as one of the most important investment themes of our time. Artificial Intelligence is not new, however, it’s applications are not widely understood by many people. In this exclusive panel session Lachlan McGregor from Alphinity Investment Management sits down with Andrew Charlton from AlphaBeta and Niki Scevak from BlackBird Ventures to discuss the applications of artificial intelligence and some of the companies at the forefront of this technology.

Livewire Markets

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The rise of AI (Artificial Intelligence) robots can be concerning for some people but that’s not stopping them for sure. In fact, there’s a chance that the AI robots will soon have ‘children’ with their owners. Yes, human-robot babies are very much possible, according to a leading artificial intelligence expert.

Dr David Levy, who is the author of Love and Sex with Robots claims that that humans and robots will soon make babies, given the ‘recent progress in stem cell research and artificial chromosomes.’

Though Dr Levy has not given a specific timeline for robot babies, he believes that it could happen within the next 100 years.

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Artificial Intelligence has come a long way in a short time. So at what point will it be able to emulate the great artists and writers of our time?

Drivers in Beijing, beware: soon, you’ll be driving alongside autonomous vehicles.

On Monday, Beijing’s Municipal Commission of Transport announced (Chinese) provisional regulations for testing self-driving cars on city roads. Companies that are registered in China and have tested self-driving cars in enclosed spaces can now apply for permission to test their vehicles on Beijing’s bustling roads.

It certainly won’t be the first city in Asia—or the rest of the world—to embrace autonomous vehicles: self-driving startup nuTonomy already operates in Singapore, and several U.S. cities are home to the cars of Uber, Waymo, and others. But the news is the latest sign of China’s commitment to making autonomous vehicles a reality, in hopes of alleviating congestion on city streets and becoming a leading technology power.

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If it fulfills its promise, quantum machine learning could transform AI.

A whole new meaning to machine learning.

https://www.youtube.com/watch?v=tIVNjCpqCaY&feature=share

Brendan John Frey FRSC (born 29 August 1968) is a Canadian-born machine learning and genome biology researcher, known mainly for his work on factor graphs, the wake-sleep algorithm for deep learning, and using machine learning to model genome biology and understand genetic disorders. He founded Deep Genomics and is currently its CEO, and he is a Professor of Engineering and Medicine at the University of Toronto. He co-developed a new computational approach to identifying the genetic determinants of disease, was one of the first researchers to successfully train a deep neural network, and was a pioneer in the introduction of iterative message-passing algorithms.

Frey studied computer engineering and physics at the University of Calgary (BSc 1990) and the University of Manitoba (MSc 1993), and then studied neural networks and graphical models as a doctoral candidate at the University of Toronto under the supervision of Geoffrey Hinton (PhD 1997). He was an invited participant of the Machine Learning program at the Isaac Newton Institute for Mathematical Sciences in Cambridge, UK (1997) and was a Beckman Fellow at the University of Illinois at Urbana Champaign (1999).

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Future robots won’t be limited to humanoid form (like Boston Robotics’ formidable backflipping Atlas). They’ll be invisibly embedded everywhere in common objects.

Such as a shoe that can intelligently support your gait, change stiffness as you’re running or walking, and adapt to different surfaces — or even help you do backflips.

Even as autonomous robots get better at doing things on their own, there will still be plenty of circumstances where humans might need to step in and take control. New software developed by Brown University computer scientists enables users to control robots remotely using virtual reality, which helps users to become immersed in a robot’s surroundings despite being miles away physically.

The software connects a robot’s arms and grippers as well as its onboard cameras and sensors to off-the-shelf virtual reality hardware via the internet. Using handheld controllers, users can control the position of the robot’s arms to perform intricate manipulation tasks just by moving their own arms. Users can step into the robot’s metal skin and get a first-person view of the environment, or can walk around the robot to survey the scene in the third person—whichever is easier for accomplishing the task at hand. The data transferred between the robot and the virtual reality unit is compact enough to be sent over the internet with minimal lag, making it possible for users to guide robots from great distances.

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