Apple is still interested in autonomous cars while it is exploring the design of the revolutionary LIDAR sensor – BGR



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Apple's auto initiative, unofficially nicknamed Titan Project, seems to be still alive and in good shape. According to a report by ReutersApple is currently looking for advanced lidar sensor technology that "would be smaller, cheaper, and easier to mbad-produce than current technology."

In addition, the report states that Apple, in addition to exploring third-party solutions, also has a team of engineers working on the development of an Apple brand lidar sensor.

While it remains to be seen whether Apple's exploration has a positive impact, the bottom line is that Apple still has big ambitions in the automotive sector. This may seem surprising given the string of layoffs from Apple. Titan Project lasted in recent years.

Just three months ago, for example, we learned that Apple had laid off more than 200 employees of the Titan Project team. Much more than a rumor, Apple then confirmed the cuts and released the following statement to various media:

We have an incredibly talented team working on standalone systems and related technologies at Apple. As the team focuses its work on several key areas for 2019, some groups are being moved to projects in other parts of society, where they will support machine learning and others. initiatives, in the whole of Apple.

We continue to believe that standalone systems offer tremendous opportunities, that Apple has unique capabilities and that it is the most ambitious machine learning project of all time.

At this point, it will be fascinating to see what could possibly come out of Titan Project. As far as we can judge, Apple has abandoned any desire to design and publish a car from scratch and instead chose to focus on autonomous car technologies.

To that end, Tim Cook himself acknowledged this almost two years ago when he said Bloomberg: "We focus on autonomous systems. This is a basic technology that we consider very important. This is probably one of the hardest A.I. projects on which to work. "

Source of image: thanat sasipatanapa

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