The #AIEye - Maintaining American Leadership in #ArtificialIntelligence?
Looking at ( $IBM) ( $NVDA) (OTCQB: $GOPH) ( $BIDU) ( $TCEHY)
Point Roberts WA, Delta BC – February 19, 2019 – Investorideas.com,
a global investor news source covering Artificial Intelligence issues a special
edition of The AI Eye, looking at the battle
for dominance between the US and China.
On February 11, President Donald Trump
issued an executive order
on Maintaining American Leadership in
Artificial Intelligence. The document stresses the importance of AI in
propelling the US economy and cites current American global leadership in terms
of R&D and deployment of AI as justifications for ramping up federal
government commitments to promote the technology.
Read this
in full at https://www.investorideas.com/news/2019/artificial-intelligence/02191AIEye-IBM-NVDA-GOPH-BIDU-TCEHY.asp
Though it is not explicitly mentioned in
the document, many commentators felt that the growing rivalry with China in the
AI space influenced the President’s executive order. Rob Verger, writing for Popular Science,
captured the impression of those commentators when he observed: “Competition
with China is a big part of the subtext to this announcement…”
Some US AI companies were quick to respond.
An article published the same day on The Hill quotes IBM:
"Today’s
order is a critical step in the launch of America’s national AI strategy. We
commend and welcome the order’s emphasis on specific priorities that IBM had
recommended, such as the ethical advancement of AI, expanding 21st century
apprenticeship opportunities to build an AI-ready workforce, leveraging
government data to accelerate AI development that can deliver shared
prosperity, and prioritizing AI in federal research and development.”
The contents of the executive order were
anticipated by Ian Buck, VP and General Manager of NVIDIA’s (NasdaqGS:NVDA) Tesla Data Center Business,
when he opined that the government was
best suited to direct investment.
“There’s
simply no replacement for the federal government significantly increasing
support for fundamental research to bolster university research. Funding drives
research. Research, in turn, drives innovation, from startups to
multinationals.”
Among the listed objectives outlined in the
order include enhancing “access to high-quality and fully traceable Federal
data, models, and computing resources”. Brookings Institution
observed that “having better access to government data would strengthen the
training of AI algorithms”.
An example of a company that would benefit from
this larger and more vetted data pool is Gopher Protocol Inc. (OTCQB:GOPH), whose Avant! AI
platform’s Knowledge Retrieval Algorithm
(KRA) utilizes robust semantic analysis for large text collections and
multimedia objects. Company CTO, Dr. Danny Rittman explained:
"Our
KRA system analyzes documents, identifies and indexes text and then assigns
different technique to "understand" its meaning and make a decision
if it is viable or non-relevant.”
One thing Trump’s plan omits however, is
any specific information on commitments to federal funding. This is starkly
different from China’s AI policy, which aims to establish a $150 billion USD
industry by 2030, according to an article from Fortune. And while American
businesses like Google, Amazon and IBM currently lead the world in AI spending,
a ZDNet piece indicates that
Chinese companies are expected to spend a staggering $256.61 billion USD on
tech purchases this year, with much of that going to AI.
Baidu, Inc. (NasdaqGS:BIDU), for instance, boasts over 2000
employees working on AI, including former top Google engineer Andrew Ng, whom
they lured away in 2014. In mid- January, Xilinx announced
that the newly unveiled EdgeBoard, Baidu's edge acceleration computing solution
is enabled by Xilinx. The EdgeBoard is a turn-key solution which is available,
fully configured, directly from Baidu. It can also be configured and customized
as part of the Baidu Brain AI Hardware Platform initiative, developed to
deliver proven market-specific technologies to the industry so that companies
can quickly adopt and deploy them for edge-specific applications.
Back in the US, NVIDIA’s (NasdaqGS:NVDA) DRIVE autopilot, the world's
first commercially available Level 2+ automated driving system, debuted at the
CES 2019 conference last month. DRIVE utilizes multiple AI technologies,
including AI copilot capabilities and advanced in-cabin visualization of the
vehicle's computer vision system. But this is rivaled by one of Baidu’s
principle AI projects, the Apollo driverless car program. And with the Chinese
autonomous car market projected to hit $500
billion USD by 2030, it may not be surprising for them to eclipse their
American counterparts.
Tencent Holdings Limited (OTC:TCEHY), is a fellow
Chinese tech giant that is comparable to Google in its scope of services. One
project that distinguishes it from many other big tech companies however, is
its Tencent Miying Engine, which helps healthcare institutions with diagnoses.
According to Nasdaq, “With more than 38,000
medical institutes, especially in China, using [Tencent platform] WeChat,
Tencent is using data to transform and uplift the medical industry in the
country.”
Though many US companies applauded Trump’s
AI initiative, others were critical that it wasn’t as much of a commitment as
that seen from the communist Chinese state. Historically, centralized states
like that of China have failed to out-compete freer markets like the United
States, but it is hard to ignore the dedication and consequent momentum seen
from the People’s Republic.
So it’s a tale of cats and dogs; Baidu just
announced
the creation of a cat shelter using artificial intelligence and in the US,
Gopher Protocol Inc. used its AI tech in its pet tracking technology. Let the
race continue.
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