Apple AI Director Reveals More About Its Self-Driving Car Tech

Posted: Dec 11 2017, 4:56am CST | by , in News | Apple

 
Apple AI Director Reveals More About Its Self-Driving Car Tech
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Apple Executive shows Glimpses of the High Tech Giant’s Autonomous Driving Capacity

A whole new ball game emerged from the scenario when Apple’s director of AI research showed the results of various AI projects. These had been undertaken by Apple at a conference which took place recently. Software for self-driving vehicles was the name of the game.

Ruslan Salakhutdinov gave a speech to 200 AI experts, according to the Wired. They all wanted to catch a glimpse of how Apple employed machine learning and other parameters of technology in its day to day functioning. Data from cameras and sensors were included in the complexity required for self-driving capability.

Also 3D maps of the city streets were mandatory among these self-driving odds and ends. The lecture delivered by the Apple executive outlined the clandestine efforts by Apple regarding autonomous driving.

A permit had been obtained from the concerned authorities and the CEO, Tim Cook, had shown plenty of enthusiasm for this sort of technology earlier. However, the rest of the details are being kept in a shroud of secrecy.

This as everyone knows is Apple’s style. The executive showed software that allowed self-driving technology to identify pedestrians and cyclists on roads. This was done using lidars which were actually 3D scanners.

Salakhutdinov showed how the lidars worked efficiently even when their view was blocked by pesky raindrops during a downpour. He admitted this much that were he asked a few years ago whether such technology could work, he would have been skeptical.

Yet today the magic is for real. Another software that Salakhutdinov popularized was SLAM (simultaneous localization and mapping). This was used in robotics and autonomous vehicles.

Augmented reality plays a role in SLAM. The detailed digital maps that were a must in AI were to be used to generate algorithms which would allow autonomous driving.

While Salakhutdinov’s lecture divulged a lot about Apple’s inner workings, it also left some things unsaid thereby increasing the public’s hunger for more information.

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