Toyota will gain full control of Lyfts technology and its team of 300.
The costs of self-driving car technology
Costs remain a huge barrier for all self-driving car projects.
Training deep reinforcement learning models requires expensive compute resources.
Each of those projects cost millions of dollars in hardware resources alone.
Some companies develop virtual environments to complement the training of their reinforcement learning models.
This will be enough to make the company profitable.
So far, no company has been able to develop a profitable self-driving car program.
Waymo, Alphabets self-driving subsidiary, has launched a fully driverless ride-hailing service in parts of Arizona.
Several companies had hailed launching robo-taxi services by 2018, 2019, and 2020.
A few carmakers promised to make fully self-driving cars available to consumers.
But were in 2021, and its clear that the technology is still not ready.
Our deep learning algorithms arenot on par with the human vision system.
Thats why many companies need to use complementary technologies such as lidars, radars, and other sensors.
The legal infrastructure for self-driving carsis also not ready.
But the end goal seems to be receding as we continue to approach it.
And thisincludes ride-hailing services, which are under extra pressure due to the coronavirus pandemic.
Apple is considering creating its own electric self-driving car.
Traditional carmakers are also becoming big players in the market.
General Motors owns Cruise.
Hyundai haspoured $2 billioninto a joint self-driving car venture with green tech startup Aptiv.
And Aurora, the company that acquired Ubers ATG, is developing partnerships with several automakers.
This is going to be a race between those who can withstand the long haul.
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