The Emergence of the “Tech First" Automobile

Dec 7, 2020

The Emergence of the “Tech First" Automobile

Currently, the auto industry is producing

vehicles that have novel technological features. No longer solely products of conventional

manufacturing, these cars now have advanced autonomous and electric

capabilities – majorly due to the emergence of tech companies, who are developing

“technology-first” automobiles. To compete in the long run, traditional car

OEMs in this sector must take this shift into account and adapt with the

market.

Traditionally,

the auto industry has been dominated by manufacturing. Companies are

horizontally integrated, and they source various mechanical components of cars

from third parties (known as Tier-1 parts suppliers). After procurement, they integrate

each part together, as planned in ideation, into a finalized vehicle.

However, there are new entrants, in

the form of technology companies. Unlike traditional OEMs, these firms are

vertically integrated. All of their development, particularly within the realm of

tech innovation, occurs internally. Their cars are “technology-first” rather

than just being based solely on the assembly of various mechanical components.

As a result, the rate of innovation

has rapidly increased. Because OEMs normally outsource all AV technology

development to third parties, there exists a lack of innovation within the

companies themselves. On the flip side, technology companies are vertically

integrated – they develop their own AV technology and deploy it onto their own vehicles.

As a result, tech firms are bringing cars with advanced autonomous capabilities

to the hands of consumers exponentially faster than traditional OEMs.

Given this, traditional OEMs must

discover how to quickly enable self-driving capabilities in their cars. With the

constraints that come with horizontal integration, these firms must source a

third party that is developing a state-of-the-art platform to allow their

vehicles to be autonomous. Through this, they can develop “technology-first”

automobiles, allowing them to adapt with the industry as the rate of innovation

speeds up in the realm of vehicle autonomy.

As we drive, our brains use a data

center level of compute while consuming less power than a lightbulb. To mimic

this and facilitate the production of “technology-first” automobiles, cars must

be equipped with a platform that generates a minimum of 75

Tera-Operations-Per-Second (TOPS) of compute for every watt of power

consumption. This unsolved optimization barrier is known as the **visual perception

problem**.

Unlike incumbent solutions, which

are based on legacy technologies such as the GPU, a new one must be created,

purpose-built for autonomous vehicles. Because it will not be constrained from

a technological standpoint, it will allow AVs to flawlessly perceive their

surroundings in real time. Through leveraging key innovations in math, ASIC

architecture, and AI, this solution should solve the **visual perception

problem** outlined above. With these unique capabilities, traditional OEMs should

procure this in order to develop “technology-first” automobiles.

To learn more about Recogni, check out www.recogni.com

By Sidhart Krishnamurthi, Product Management @ Recogni

Related

Vasili Triant — Why AI Is Replacing CRM Layers, Not Enterprise Systems
Vasili Triant — Why AI Is Replacing CRM Layers, Not Enterprise Systems
Executive Summary. Vasili Triant explains why AI is not replacing enterprise systems but eliminating redundant CRM layers as the stack shifts towar...
France Hoang — Building Governable AI Systems for Universities
France Hoang — Building Governable AI Systems for Universities
Interviews,Governance,Featured+2 more
Executive Summary. France Hoang argues that AI in education must evolve from isolated tools into governed, collaborative infrastructure that instit...
Ravi Teja Alchuri — Engineering Trustworthy AI for Production-Scale Fleet Systems
Ravi Teja Alchuri — Engineering Trustworthy AI for Production-Scale Fleet Systems
Executive Summary. Ravi Teja Alchuri explains why deploying AI in fleet telematics platforms requires architectural discipline, governance guardrai...