Tag Archives: deep learning

AI and Big Data To Fight Eye Diseases

In future, it will be possible to diagnose diabetes from the eye using automatic digital retinal screening, without the assistance of an ophthalmologist‘: these were the words used by Ursula Schmidt-Erfurth, Head of MedUni Vienna‘s Department of Ophthalmology and Optometrics. The scientist has opened the press conference about the ART-2018 Specialist Meeting on new developments in retinal therapy. The automatic diabetes screening, has been recently implemented at MedUni Vienna.
Patients flock to the Department to undergo this retinal examination to detect any diabetic changes. It takes just a few minutes and is completely non-invasive

Essentially this technique can detect all stages of diabetic retinal diseasehigh-resolution digital retinal images with two million pixels are taken and analyzed within seconds – but Big Data offers even more potential: nowadays it is already possible to diagnose an additional 50 other diseases in this way. Diabetes is just the start. And MedUni Vienna is among the global leaders in this digital revolution.

The Division of Cardiology led by Christian Hengstenberg within the Department of Medicine II is working on how digital retinal analysis can also be used in future for the early diagnosis of cardiovascular diseases.

This AI medicine is ‘super human’,” emphasizes Schmidt-Erfurth. “The algorithms are quicker and more accurate. They can analyze things that an expert cannot detect with the naked eye.” And yet the commitment to Big Data and Artificial Intelligence is not a plea for medicine without doctors, which some experts predict for the not-to-distant future. “What we want are ‘super doctors’, who are able to use the high-tech findings to make the correct, individualized therapeutic decision for their patients, in the spirit of precision medicine, rather than leaving patients on their own.”

However, it is not only in the diagnosis of diseases that Artificial Intelligence and Big Data, plus virtual reality, provide better results. “We are already performing digitized operations with support from Artificial Intelligence. This involves projecting a virtual and precise image of the area of the eye being operated on onto a huge screen – and the surgeon then performs the operation with a perfect viewon screen” as it were, while actually operating on the patient with a scalpel.”

Source: https://www.news-medical.net/

Want to Sound Like Barack Obama?

For your hair, there are wigs and hairstylists; for your skin, there are permanent and removable tattoos; for your eyes, there are contact lenses that disguise the shape of your pupils. In short, there’s a plethora of tools people can use if they want to give themselves a makeover—except for one of their signature features: their voice.

Sure a Darth Vader voice changing mask would do something about it, but for people who want to sound like a celebrity or a person of the opposite sex, look no further than Boston-based startup Modulate.

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Founded in August 2017 by two MIT grads, this self-funded startup is using machine learning to change your voice as you speak. This could be a celebrity’s voice (like Barack Obama’s), the voice of a game character or even a totally custom voice. With potential applications in the gaming and movie industries, Modulate has launched  with a free online demo that allows users to play with the service.

The cool thing about Modulate is that the software doesn’t simply disguise your voice, but it does something far more radical: it converts a person’s speech into somebody’s else vocal chords, changing the very I.D. of someone’s speech but keeping intact cadence and word choice. As a result, you sound like you, but have in fact someone’s else voice.

Source: https://www.americaninno.com/

Teaching a car how to drive itself in 20 minutes

Researchers from Wayve, a company founded by a team from the Cambridge University engineering department, have developed a neural network sophisticated enough to learn how to drive a car in 15 to 20 minutes using nothing but a computer and a single camera. The company showed off its robust deep learning methods last week in a company blog post showcasing the no-frills approach to driverless car development. Where companies like Waymo and Uber are relying on a variety of sensors and custom-built hardware, Wayve is creating the world’s first autonomous vehicles based entirely on reinforcement learning.

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The AI powering Wayve’s self-driving system is remarkable for its simplicity. It’s a four layer convolutional neural network (learn about neural networks here) that performs all of its processing on a GPU inside the car. It doesn’t require any cloud connectivity or use pre-loaded mapsWayve’s vehicles are early-stage level five autonomous. There’s a lot of work to be done before Wayve’s AI can drive any car under any circumstances. But the idea that driverless cars will require tens of thousands of dollars worth of extraneous hardware is taking a serious blow in the wake of the company’s amazing deep learning techniques. According to Wayve, these algorithms are only going to get smarter.

Source: https://wayve.ai/
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