Info
Info

DeepScale Attracts $15 Million Investment To Advance Automated Vehicle Perception

News

Real-time perception software leverages super-efficient neural networks to enable more accurate computer vision to be affordably deployed in mass-produced cars

Info

DeepScale, a developer of deep learning perception software for use in mass-produced automated vehicles, announced a $15 million Series A funding investment led by Point72 and next47.

DeepScale is using efficient deep neural networks (DNNs) on small, low-cost, automotive-grade sensors and processors to transform the accuracy of perception systems, which interpret and classify sensor data in real-time, for automated vehicles. In doing this, DeepScale is bringing driver-assistance and autonomous driving to mass-produced vehicles at all price-points.

As traffic fatalities continue to claim more than a million lives a year worldwide,1 the recent Series A funding will enable the expansion of DeepScale's engineering team and technology advancements and, ultimately, will support the company's mission to help make self-driving vehicles and roads safer.

"One of our core objectives is to drastically reduce the number of deaths and injuries on the road," said Forrest Iandola, co-founder and CEO of DeepScale. "The company's Series A funding will not only empower our engineering team to continue to make breakthroughs in automated driving safety, but will also help us attract the brightest talent in the industry to transform the future of transportation."

DeepScale co-founder and CEO Forrest Iandola attained a doctorate at UC Berkeley working on deep neural networks and computer vision systems. While working with his faculty advisor, and now co-founder Kurt Keutzer, Forrest's advances in scalable training and efficient implementations of deep neural networks led to the founding of DeepScale.

"We've been following Forrest Iandola's research on efficient deep learning for a number of years," said Sri Chandrasekar, Director at Point72. "Forrest's inventions, such as a small DNN called SqueezeNet, have already been a game-changer for putting deep learning onto smartphones. When we heard that Forrest had started a company to put small DNNs into mass-produced cars, we jumped at the opportunity to get involved."

T.J. Rylander, Partner at next47, said, "DeepScale is bringing unique expertise and advancements in deep neural network design to the automotive industry. We're very excited by the potential of autonomous technology to transform transportation markets. The DeepScale team is accelerating commercialization of today's driver assistance systems and tomorrow's self-driving vehicles, with the opportunity to bring profound impact to other transportation verticals longer term."

DeepScale has a number of strategic partnerships with Tier 1 suppliers, OEMs and semiconductor suppliers to provide automated driving perception solutions, including Visteon and HELLA-Aglaia Mobile Vision GmbH, a major German automotive supplier.

"Machine learning solutions will be the key driver for autonomous driving," said Kay Talmi, Managing Director of HELLA-Aglaia Mobile Vision GmbH. "DeepScale's core know-how in efficient deep learning networks is a perfect fit for HELLA-Aglaia's automotive applications and target markets."

Additional Series A funding was provided by existing investor Autotech Ventures and Trucks Venture Capital, two firms known for their automotive expertise. Previous seed investors included some of the most sophisticated seed investors in Silicon Valley such as Andy Bechtolsheim, Ali Partovi, Lip-Bu Tan and Jerry Yang's AME Cloud Ventures.

Building on DeepScale's direct customer engagements that are bringing safer, more efficient DNNs to market, the company's perception software will also be available for prototyping through development kits that DeepScale will offer in the second half of 2018.


The Latest News, Brought To You By
DeepScale Attracts $15 Million Investment To Advance Automated Vehicle Perception
Modified on Friday 6th April 2018
Find all articles related to:
DeepScale Attracts $15 Million Investment To Advance Automated Vehicle Perception
TaaS Technology Magazine
Info
Abarth Launches World’s First Virtual Reality Test Drive Delivered To Homes
Niro EV’s Latest Accolade Reinforces The Strength Of Kia’s Electric Vehicle Lineup
Humax To Supply RAiDEA Mobility Service Platform In The Middle East
Ford Raises Planned Investment In EV, AV Leadership To $29 Billion
Cosworth And Delta Sign Agreement For Acquisition
Hyundai Motor Group Unveils TIGER Uncrewed Ultimate Mobility Vehicle Concept
VivoPower Secures 100% Ownership Of Tembo E-LV B.V.
Kia Starts Pilot Of Last-mile Delivery Service In Singapore For Future PBV Business
AIR Index Vehicle Emissions Rating System Offers First Realistic, Fully-fledged Alternative To Official Data
Riversimple And Siemens: The Beginning Of A Long-term Strategic Relationship
Plus Commits To Deploy Ouster’s Digital Lidar Sensors
AVL Advances Development Of Hydrogen Internal Combustion Engine For CO2 Neutral Transportation
How The Volkswagen ID.4 Communicates With Light
Daimler Plans Separation Into Two Pure-play Companies And Majority Listing Of Daimler Truck To Accelerate Into Zero- Emissions And Software-driven Future
Ouster Achieves Major Automotive Grade Milestone
Trimble Teams With ROBORACE
Targa Telematics Supports Leasys Miles In The UK
Alauda Unveils The World’s First Flying Electric Racing Car
Volta Trucks Selects Meritor To Supply The Innovative Electric Drivetrain For The Volta Zero
Kia Unveils Roadmap For Transformation, Focusing On EVs And Mobility Solutions
REE Automotive Opens New Engineering Center Of Excellence In The UK
Mazda First OEM To Join The EFuel Alliance
Faurecia And Immersion Partner For Haptic Automotive Technologies
Forward31 And Lufthansa Innovation Hub Launch Startup Partnership
Info
Info
×
Search the news archive

To close this popup you can press escape or click the close icon.
Logo
×
Logo
×
Register - Step 1

You may choose to subscribe to the TaaS Magazine, the TaaS Newsletter, or both. You may also request additional information if required, before submitting your application.


Please subscribe me to:

 

You chose the industry type of "Other"

Please enter the industry that you work in:
Please enter the industry that you work in:
 
X
Info
X
Info
{taasPodcastNotification} Array
Live Event