NEW YORK, Sept. 24, 2018 (GLOBE NEWSWIRE) -- Investorideas.com, a leader in investor news and research in leading sectors
releases a sector snapshot on the AI and Robotics market with commentary and recent news from industry experts including the CTO of
Gopher Protocol Inc. (OTCQB:
GOPH) discussing the company’s recent white paper on the Avant! AI system and also commenting on the recent DARPA news.
The future of AI and robotics is already here and it’s now a very short timeline to a future of rapid advancements. It
will impact our daily lives, our health, our jobs and most importantly - according to leading experts, the economy.
Research from McKinsey Global Institute says, “at the current global average level of adoption and absorption
implied by our simulation, AI has the potential to deliver additional global economic activity of around $13 trillion by 2030, or
about 16 percent higher cumulative GDP compared with today. This amounts to 1.2 percent additional GDP growth per year.”
They also note, “Leaders of AI adoption (mostly in developed countries) could increase their lead
over developing countries. Leading AI countries could capture an additional 20 to 25 percent in net economic benefits, compared
with today, while developing countries might capture only about 5 to 15 percent.”
Earlier this month DARPA made headlines in the tech sector as it announced “a multi-year investment of more than $2
billion in new and existing programs called the “AI Next” campaign. Agency director, Dr. Steven Walker, officially
unveiled the large-scale effort during closing remarks today at DARPA’s D60 Symposium taking place Wednesday through Friday at the
Gaylord Resort and Convention Center in National Harbor, Maryland.”
“With AI Next, we are making multiple research investments aimed at transforming computers from specialized tools to partners in
problem-solving,” said Dr. Walker. “Today, machines lack contextual reasoning capabilities, and their training must cover every
eventuality, which is not only costly, but ultimately impossible. We want to explore how machines can acquire human-like
communication and reasoning capabilities, with the ability to recognize new situations and environments and adapt to them.” Source
https://www.darpa.mil/news-events/2018-09-07
AI expert Danny Rittman, CTO of Gopher Protocol Inc. (OTCQB: GOPH) told Investor Ideas, “This comment is correct. Today's AI, as much as it rapidly
progresses, still lacks true human- like analytics and responses. It can very successfully be trained; creating its own
knowledge-base database, which it responds to. But there is still a far distance comparing this to human cognitive skill and
awareness. That is why we are working on our Avant! AI. During the next few years we are targeting Avant! to switch from a
‘Supervised AI’ category to the ‘Unsupervised AI’ category and ultimately be able to reach its own conclusions based on its and
others experience. Using logic and human semantics understanding will enable Avant! to become a younger, brighter, breakthrough AI
technology that will be able to assist us with our daily lives and in many fields, among them medicine, business, entertainment and
even personal advisor and companion.”
Danny and his Company recently announced
the release a white paper on the Avant! AI system, including a comprehensive background on the history and development of AI
and machine learning. The full white paper was filed with the SEC and can be found on the following link - https://www.sec.gov/Archives/edgar/data/1471781/000161577418009267/s112579_ex99-1.htm
According to the white paper, “Avant! can understand unstructured data, which is how most data exists today. Furthermore,
most data comes from a wide range of sources – professional articles, research papers, blogs, and human’s input. Avant! relies on
natural language, and obeys the rules of grammar. Avant! breaks down a sentence grammatically and structurally, and then extracts
its meaning. When Avant! works on a field, it searches for thousands of articles in this domain. Next, Avant! is narrowing down to
only few hundreds documents that are topic related. Finally, it will conclude the best answer and deliver it. The process is
governed by sets of neural network algorithms that work cognitively to learn the topic and respond accordingly.
Avant! is trained to respond to questions about highly-complex situations and quickly provide a range of responses and
recommendations, all backed by evidence. Avant! is using statistical modeling and scores a viable solution then estimates
assurance. Avant! improves its expertise by learning from its own experience. Over time, it gains robust knowledge learning from
experience and from its own successes and failures, exactly as humans do. Avant! gets wiser and knowledgeable over time.
When a query is executed Avant, cognitive computing relies on its own vast knowledge, the available human data, and the
query conditions. A huge amount of data is searched, both structured and unstructured. Then an analysis is performed. Then
elimination process takes place to sort out the best answer, logical validation and finally answer’s delivery.
For the user Avant! provides almost instantaneous response. It rapidly processing large data and by using its cognitive
computing capabilities provides efficient answer within seconds.”
Avant! Artificial Intelligence System Video: https://www.youtube.com/watch?v=l91_ZDu8dxI&feature=youtu.be
Another public company in the sector also recently released a white paper discussing the future of robotics. NICE (NASDAQ: NICE) is a
provider of both cloud and on-premises enterprise software solutions.
NICE announced, “the availability of a new white paper with Deloitte Consulting, offering organisations
practical guidance to effectively navigate the transition into Robotic and Cognitive Automation (R&CA), the future of Robotic
Process Automation (RPA). The new white paper entitled “The Future of Operations – Moving Beyond Process Automation” is infused
with practical insights and a simulated business case demonstrating a futuristic self-service banking scenario that utilises a
myriad of new generation cognitive tools to stay ahead.”
According to the news, NICE and Deloitte have been partnering globally to bring the value of cognitive automation to the market.
This new white paper builds on the expertise of Deloitte's expansive global consulting experience and NICE's market leading
innovation in RPA geared by having over 500,000 robots in production and 500 deployments across a diverse range of industries
world-wide.” To download a copy, go to: info.nice.com/thefutureofoperationsWP.html
So, as AI and robotics march us forward into an unfamiliar future, investors can look at the economic contributions and how to
participate in the growth. Chances are AI could calculate our risk/ return far better than we can today.
Some numbers to digest according to "Artificial Intelligence Market by Platforms, Components, Deployment Mode, Applications and Industry
Verticals 2018 - 2023" at ResearchAndMarkets.com; IoT things/objects deployment will reach 35.7 billion by 2023, Global AI
Chipsets market will reach $6.6B USD by 2023, North America will lead the AI market with 34% share by 2023, The combined global AI
market will grow at 37% CAGR through 2023, Global AI in embedded IoT devices market will approach $26.2B USD by 2023.
About Gopher:
Gopher Protocol Inc. (OTCQB: GOPH) is a development-stage company which
consider itself a Native IoT creator, developing Internet of Things (IoT) and Artificial Intelligence enabled mobile
technology. Gopher’s exclusive licensor filed a non-provisional patent covering a proprietary GRC Blockchain-Based Radio Generated
Digital Currency on June 19, 2018. Additionally Gopher’s Avant! AI technology has been designed to supervise the Blockchain System
to keep records of all data exchanges. The AI system will be embedded as an integral part of Gopher’s digital coin Blockchain
system.
For more info on Gopher and its technologies visit http://gopherprotocol.com/
*DARPA news source https://www.darpa.mil/news-events/2018-09-07
*McKinsey Global Institute https://www.mckinsey.com/featured-insights/artificial-intelligence/notes-from-the-frontier-modeling-the-impact-of-ai-on-the-world-economy
More info on the sector:
For investors following the sector Investor Ideas has a comprehensive AI and tech stock directory: https://www.investorideas.com/TSS/stock_list.asp#Robotics
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