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Bosch and NVIDIA team up to develop AI Self-Driving systems for mass market cars

On Monday this week, Intel announced its acquisition of MobilEye, a major player in the Advanced Driver Assistance Systems (ADAS) market with close to 70% of market share. And by Tuesday, NVIDIA and Bosch announced their partnership to artificial intelligence self-driving systems for mass market cars. It’s really amazing how quickly things are developing!

Rendering of AI self-driving car computer under development by NVIDIA and Bosch. – Image copyright NVIDIA

AI Supercomputer for Autonomous Driving 

Bosch’s AI supercomputer for self-driving cars will be based on NVIDIA’s upcoming Drive PX line with Xavier architecture, which is also the world’s first single-chip processor that can manage Level 4 autonomous driving capabilities.

“Self-driving cars is a challenge that can finally be solved with recent breakthroughs in deep learning and artificial intelligence, Using DRIVE PX AI car computer, Bosch will build automotive-grade systems for the mass production of autonomous cars. Together we will realize a future where autonomous vehicles make mobility safe and accessible to all.” – Jen-Hsun Huang, founder, and CEO, NVIDIA

MobilEye is one of the leading companies in the autonomous driving tech segment and a direct competitor to Bosch in that market. Its acquisition by Intel is something that impacts both NVIDIA and Bosch. With this partnership, Bosch can focus on developing the AI system that will enable Self-Driving Cars, and NVIDIA can continue to develop supercomputing technology that will power such cars.

Self-driving cars business is clearly the next big thing, and it is clear that no one wants to be left behind. Follow us to learn more about the market and the technology behind this revolution.

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Drones use what3words addressing system to deliver packages

The rise of UAVs technology significantly changed many industries, from crop inspection to medical services. Applying drone powered solutions on such a scale required simplification and automation of drone control. Today UAVs can operate fully autonomously but the challenge is how to define the landing spot. The most efficient way so far was to define the location using geographic coordinates. It’s obviously the best and the most accurate solution but it has some disadvanteges. It is difficult to use and prone to human error where even a small mistake can send the machine far off-course.

This is where what3words comes in with human approach to navigation. What3words offers a global addressing system that divides the world into a grid of 3m x 3m squares and assignes each one a unique 3-word address. This idea proved to be far easier to remember and share than GPS coordinates. Moreover, it provides the same degree of location accuracy, without any of the complexity. Looks like the idea is highly appreciated because more and more drone companies are willing to integrate the new addressing system into their platform. Currently, what3words partnered with various UAV organizations like Copter-Express, Overscout, Hylio and Altavian.

“what3words provides an innovative customer facing solution” said Mike Oda, co-founder of Hylio. “It bridges the gap between the human and the machine, and will allow us to expand our user base”.

“Integrating what3words into our maps made so much sense that I didn’t need to think twice” said Julius Vinton CEO of Overscout. “Our drone operators have to know where clients are requesting them to fly and it is especially difficult to communicate precise locations that are out in the field. We practically eliminated misunderstandings thanks to what3words.”

I find this solution interesting and useful. According to what3word around 75% of the world suffers from inadequate addressing systems. This means that using 3-word may come in handy. Of course latitude and longitude are great for computers but the new addressing is way more useful for people. I believe that thanks to its simplicity it opens up drones industry to more businesses and customer.

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