deep learning and AI for automotive
DENSO Corporation subsidiary NSITEXE, Inc., a developer of
key semiconductor components enabling automated driving, has invested in ThinCI
Inc., an AI hardware startup developing computing platforms. ThinCI’s
programmable computing architecture can accelerate deep learning, AI and other
algorithms relevant to the automotive industry and will provide somewhere
around 5 to 10 times the computing power and performance offered by the next
best solution. The successful close of ThinCI’s $65 million series C funding
round was led by DENSO and Temasek. Other investors include GGV Capital, Mirai
Creation Fund—backed by Toyota and other limited partners—and Daimler. DENSO
was the lead investor in ThinCI’s last funding round in 2016.
ThinCI has the capabilities to help us usher in the next era
of transportation. The company’s technology provides the computing power to
make autonomous driving and advanced electric vehicles the industry norm. The
move to Level 4 and Level 5 autonomy in the automotive industry will require
huge amounts of flexible computing power. It’s not feasible for car owners to
have autonomous vehicles with server racks in their trunks, so there is a
definite need to get that computing power out of the trunk and into a set of
chips.
As automotive electronics become increasingly sophisticated,
the number of semiconductor devices used in vehicles has increased
significantly. When automated driving and electrified power sources become the
norm, high-performance, yet low-power semiconductor devices will be required
for self-driving cars to operate effectively. These vehicles will need to
constantly monitor their surroundings, rapidly process enormous amounts of
information and make split-second driving decisions—all of which are made
possible by semiconductors being able to properly sense road environments and
communicate with one another. In a bid to achieve practical use of semiconductor devices
necessary for automated driving technologies, DENSO established NSITEXE in 2017
to design and develop a next-generation, high-performance semiconductor devices
to advance autonomous driving solutions.
Am 16. September findet der Fachkongress AUTOMATICAR zum 2. Mal änlässlich der ...
»weiterlesenAm 12. April fand das erste Mal die von der Mobilitätsakademie des TCS organisierte ...
»weiterlesenEPTA Conference 2017 „Shaping the Future of Mobility“ Luzern, Verkehrshaus, Mittwoch, 8. ...
»weiterlesenAm 22. September war www.auto-mat.ch live vor Ort, als die ersten beiden automatischen ...
»weiterlesen