Alibaba has just announced that its DAMO institute has developed a new ISP process. This advancement will bring about a better vision technology for autonomous cars or self driving cars, especially during the night or in low light scenarios.

According to official notes, the new ISP will allow for greater safety for self driving cars since it improves upon the 3D noise reduction and image enhancement algorithms that were previously developed. In other words, this will allow the autonomous automotive to “see” clearer. At the moment, the process is already being utilized by unmanned logistics vehicles, while it’s on road tests that have already reached industry leading levels, according to the Alibaba institute.

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For those unaware, ISP stands for Image Signal Process and is an integral part of a camera. Its primary function is to process and perform the arithmetic behind the signal output by the image sensor on the front, namely the CMOS. Through the ISP, a self driving vehicle can “see” the environment around it clearly. In simpler terms, it enables the car to understand and guide the car through the environment using the camera sensor.

According to the DAMO institute, the self developer ISP process has greatly been improved upon. Its image recognition capabilities are better during the day and night. Test results have revealed an improvement of more than 10 percent in object detection and recognition capabilities even during the night. The range has also been improved and the sensor now trumps the industry’s current mainstream processors.

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(Via)

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Alibaba DAMO Academy, the scientific research group established by Alibaba has apparently developed an AI to combat fake news. The academy has developed an algorithm which can verify the authenticity of an information and help to segregate the facts from fake news. The algorithm boasts an 81% accuracy rate and a deep learning curve which helps it to verify and segregate information within seconds.

The AI called ‘Rumour Shredder’ traces the original post or the source of the information and then verifies the authenticity of the original publisher. It also compares the previous news and articles published by the same author or publisher and also takes into account the said person’s profession and past standing to authenticate a piece of news or information.

Moreover, the algorithm can identify key arguments and information from the news article and compare and contrast it with established and already present knowledge bases.

The academy also plans to add on a feature of sending real-time messages to the users.

Imagine the next time you are reading something absurd like ‘Fishes raining in Poland’, you get a pop-up saying ‘FAKE NEWS’. Though the AI is still in the training stage, DAMO academy hopes to soon roll out this algorithm with real-time assessment.

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It’s important to combat fake news as it can be extremely dangerous. We have democracies falling, communities getting violent and hundreds dying because of fake news. With the advent of social media, things have got even worse as propaganda news and information can be spread to millions with a single click. Hence it’s of utmost importance to fight this negative side of technology with something more powerful like the AI created by this academy.

At present, there are some websites and agencies which provide news authentication services. Usually, you have to go to these websites and put in your news titles and they tell you whether it’s accurate or fake news. However with the massive amount of information scrolling through our fingertips especially through Facebook feeds and Whatsapp, it’s not physically possible to feed in every news or information into these websites and check for authenticity.

Thus, this algorithm developed by DAMO Academy could be a game changer as it will let you know, in real time, the accuracy and authenticity of your information, right when you are reading it.

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