Daily Archives: February 25, 2021

DALLAS, TX / ACCESSWIRE / February 22, 2021 / According to a new market report published by Lucintel, the future of the global artificial intelligence market looks attractive with opportunities in the healthcare, security, retail, automotive, manufacturing, and financial technology (fintech) sectors. The global artificial intelligence market is expected to decline in 2020 due to global economic recession led by COVID-19. However, market will witness recovery in the year 2021 and it is expected to reach an estimated $70 billion by 2025 with a CAGR of 21% from 2020 to 2025. The major drivers for this market are increasing demand for virtual assistance for easy accessibility of services and growing adoption of cloud-based technology.

To download report brochure, please go to https://www.lucintel.com/artificial-intelligence-market.aspx and click "report brochure" tab from the menu.

In this market, different types of artificial intelligence such as machine learning, natural learning processing, and others are used as technology. On the basis of comprehensive research, Lucintel forecasts that the machine learning technology will remain the largest segment and it is also expected to witness the highest growth over the forecast period due to increasing adoption of this technology in the autonomous applications and growing consumer preference for IoT-enabled devices.

Within the artificial intelligence market, media and advertising will remain the largest application due to an increasing adoption of customer-centric marketing strategies and increasing use of social platform for advertisements. The healthcare segment is expected to witness the highest growth over forecast period due to advancements in clinical research and growing demand for electronics-based medical equipment and sensors in the healthcare applications.

APAC will remain the largest region and it is also expected to witness the highest growth over the forecast period due to the growing adoption of IoT (internet of things), increasing installation of smart home devices, and growing industrial automation in countries, such as China, India, and Taiwan.

Story continues

Emerging trends, which have a direct impact on the dynamics of the artificial intelligence industry, include growing adoption of artificial intelligence in IoT applications and increasing demand for AI-enabled processors. Intel, IBM, Amazon, Facebook, NVIDIA, Apple, Microsoft, General Electric, and NEC Corporation and others are among the major artificial intelligence manufacturers.

Lucintel, a leading global strategic consulting and market research firm, has analyzed the global artificial intelligence market by end use industry, technology, product and service, and region and has come up with a comprehensive research report entitled "Growth Opportunities in the Global Artificial Intelligence Market 2020-2025: Trends, Forecast, and Opportunity Analysis." The Lucintel report serves as a catalyst for growth strategy as it provides a comprehensive data and analysis on trends, key drivers, and directions. The study includes a forecast for the global artificial intelligence market by end use industry, technology, product and service, and region as follows:

By End Use Industry [ $B shipment analysis from 2014 to 2025]:

By Technology [$B shipment analysis from 2014 to 2025]:

By Product and Service [$B shipment analysis from 2014 to 2025]:

By Region [$B shipment analysis for 2014 to 2025]:

North America

United States

Canada

Mexico

Europe

United Kingdom

France

Germany

Asia Pacific

The Rest of the World

This 206-page research report will enable you to make confident business decisions in this globally competitive marketplace. For a detailed table of contents, contact Lucintel at +1-972-636-5056 or click on this link helpdesk@lucintel.com.

About Lucintel

Lucintel, the premier global management consulting and market research firm, creates winning strategies for growth. It offers market assessments, competitive analysis, opportunity analysis, growth consulting, M&A, and due diligence services to executives and key decision-makers in a variety of industries. For further information, visit http://www.lucintel.com.

Brandon FitzgeraldLucintelDallas, Texas, USAEmail: brandon.fitzgerald@lucintel.comTel. 972.636.5056Cell: 303.775.0751

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SOURCE: Lucintel

View source version on accesswire.com: https://www.accesswire.com/630968/Opportunities-for-The-Global-Artificial-Intelligence-Market-to-Reach-70-Billion-By-2025

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Opportunities for The Global Artificial Intelligence Market to Reach $70 Billion By 2025 - Yahoo Finance

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LONDON, Feb. 22, 2021 /PRNewswire/ -CGI (NYSE: GIB) (TSX: GIB.A) was awarded by the European Space Agency (ESA) a contract to develop a new wildfire mapping service that combines recent advances in Earth Observation (EO), Artificial Intelligence(AI) and cloud computing to help better map and monitor the impact of wildfires.

CGI and its project partner, the University of Leicester, is working with nationally mandated user organisationsfrom Australia (Geoscience Australia) and France (ONF France) to implement and demonstrate EO services based on their requirements for improved wildfire risk management. The consortium will evaluate a variety of AI algorithms that could help meet these requirements. It is expected that combining the machine learning capabilities of these AI algorithms with the increased availability of frequent, high quality satellite observations will allow better burnt area mapping products to be generated where and when users want them.

The resulting AI-enabled wildfire mapping service will be made available to Geoscience Australia and ONF France, as well as the wider environmental community, through the EO4SD Lab portal. This online data portal, which has been developed by CGI for ESA, utilises cloud computing to provide free access to a range of EO data, tools and services to the sustainable development and wider environmental community.

The recent extensive fire disasters in the USA, Southern Europe and Australia have shown both the environmental and human cost of wildfires. Climate change is contributing to more frequent wildfires, with studiesfinding a 19% increase in global mean fire weather season length between 1979 to 2013. Better monitoring and analysing of burnt areas is important to improve land management and help mitigate the impact.

Tara McGeehan, President at CGI in UK & Australia said: "We are excited to be part of this cutting edge project that brings to bear the potential of AI to help the scientific and environmental community to better understand the extent and impact of damaging wildfires throughout the world. Our ongoing partnership with ESA for EO and Thematic Exploitation Platforms is enabling rapid progress in monitoring the Earth's environment to support scientific research and government policy."

Kevin Tansey, Professor of Remote Sensing and Principal Investigator at the University of Leicester said: "After 20 years of research into the use of satellite data to measure burned area and severity from local to global scales, the opportunity to work with CGI and agency partners to develop new wildfire services is very exciting. I am further delighted that this project will be one of the first to be delivered out ofSpace Park Leicester, our new state-of-the-art, high-tech facility for research, development and manufacturing.".

CGI has been delivering complex, mission-critical spacesoftware systems for clients across Europe, Australia, Asia and North America for over 40 years, supporting satellite navigation, communications and operations, to space enabled applications. CGI's partner, the University of Leicester, have a wealth of experience within EO domain and are one of the leading academic institutions with the UK.CGI is a partner in the Manufacturing, Engineering, Technology and Earth Observation Centre (METEOR) at Space Park Leicester.

About CGIFounded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 76,000 consultants and other professionals across the globe, CGI delivers an end-to-end portfolio of capabilities, from strategic IT and business consulting to systems integration, managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform theirorganizations and accelerate results. CGI Fiscal 2020 reported revenue is C$12.16 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB).Learn more atcgi.com

SOURCE CGI Inc.

http://www.cgi.com

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European Space Agency selects CGI to develop services combining Artificial Intelligence and Earth Observation for Wildfire Mapping - PRNewswire

The National Science Foundation and Amazon teamed up to fund a second round of research projects aimed at promoting trustworthy artificial intelligence and mitigating bias in systems.

The latest cohort selected to participate in the Program on Fairness in AI include multi-university projects to confront structural bias in hiring, algorithms to help ensure fair AI use in medicine, principles to guide how humans interact with AI systems, and others that focus on education, criminal justice and human services applications.

With increasingly widespread deployments, AI has a huge impact on peoples lives, Henry Kautz, NSF division director for Information and Intelligent Systems, said. As such, it is important to ensure AI systems are designed to avoid adverse biases and make certain that all people are treated fairly and have equal opportunity to positively benefit from its power.

Kautz, whose division oversees the program, briefed Nextgov on the complexities that accompany addressing fairness in AIand the joint initiative NSF and Amazon are backing to help contribute to the creation of more trustworthy technological systems.

What is fair?

AI is already an invisible variable that touches many, crucial aspects of Americans lives. Uses range from helping facial recognition unlock smartphones to making recommendations about punishments judges should impose for criminal convictions. But theres still no universal guarantee that the rapidly evolving technology won't be harmful to certain people.

It is important to note that we are still trying to understand fairness, Kautz explained. And once we have a better understanding of the many facets of fairness, the challenge is not just to design AI systems that are as fair as people are, but to actually be even more fair and unbiasedsince we know people can make biased decisions, either implicitly or explicitly.

Mathematical definitions of fairness can hone in on the algorithmic outcomes of different groups using a statistical approach, he noted, so methods in that realm might look to ensure various metrics are consistent across different groups. From a social perspective, on the other hand, officials might consider how AI could improve fairness and equality across society. An AI system might be used to help determine a novel vaccination or food distribution method or the location of medical resources that users would not have thought of without the analysis from the system, Kautz noted. Or, in technical approaches to fairness, officials might consider the accountability of the users of an AI system and what information is needed to guarantee they feel confident that informed decisions can be made.

Thus, there are many ways to look at fairness in AI, and that is what NSF and Amazon are trying to do through this joint effort, Kautz said. We are making progress but are still in the early stages, where we need to understand the different aspects of fairness, in real-world settings, so that we can in turn understand how we can design our systems with fairness built into them.

Advancing Fair AI

NSF has been funding research to promote fairness in AI systems for some time, according to Kautz, while Amazon grasps the importance of building out systems designed with such approaches.

Given our mutual interest in this space, it seemed natural for NSF and Amazon to partner to leverage the resources and expertise that each organization brings, Kautz said, adding that the two intend to provide approximately $10 million each, for a total of about $20 million, over the three-year life of the program they cooperatively steer.

The first cohort came last year, this announcement marks the second, and another is anticipated to rollout in 2022.

Amazon does not play a role in the selection of proposals for the research grants, only NSF selects the awardees, Kautz confirmed.

Through the partnership, the research community submits proposals to NSF, which in turn uses its standard peer review process to identify meritorious proposals, he explained. Agency officials complete NSFs standard award process and provide grants to those chosen while Amazon separately sends its funding contributions. The company additionally offers consultation to the researchers who receive awards.

The response to the solicitations has grown, indicating growing importance and interest in the research community in addressing fairness in AI since the programs inception, Kautz added. The award topics have also broadened, and now include projects in natural language processing, computer vision, and applications to criminal justice.

But what hasnt changed is the efforts overall aim and potential to help scientists push forward toward new technical breakthroughs, accelerate the transition of their research results from laboratories to practiceand train the next generation of researchers and practitioners, which Kautz deemed another dimension that is really important to NSF.

We all appreciate there is a real need for competencies in AI across all sectors of our economy. Providing students studying fairness in AI with exposure to industry, and the problems that they are facing, is one way to develop and nurture talent that our research ecosystem is going to need going forward, he said. Finally, students participating in this programs projects may get exposure to future job opportunities as a result of Amazons engagement.

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What if a groundbreaking technology designed to gather and channel contemporary insights from the worlds most brilliant leaders Churchill, Gandhi, Lincoln took a sharp detour and exposed long buried secrets of its creator and his family? In his debut novel, Scarsdale author Marc Sheinbaum explores that possibility.

In Memories Live Here, Sheinbaum writes about what happens when an artificial intelligence project known as CHERL (Computerized Human Experienced as Real Life) and a cybersecurity breach lead to the near downfall of A.I. engineer Josh Brodsky and his two brothers. In their search for the source of CHERLs ransomware they unearth decades-old revelations about their late parents.

Sheinbaum drew some of his knowledge of A.I. from his days as an IT consultant at PricewaterhouseCoopers, and his exposure to neural networks (algorithms that mimic the operations of a human brain) that identify fraud in finance while working in risk management at GE Capital.

He describes Memories Live Here as not so much a hard science fiction novel, as it is a mystery thriller about a dysfunctional family.

I did a lot of searching around the web and conversations with subject matter experts, but mostly on broad concepts rather than the detailed science, Sheinbaum said. Luckily, I didnt have to do too much research on the dysfunctional family part. But well get to that later.

There are those who would think our government would learn a great deal from historys greatest leaders, said Sheinbaum, but I was drawn to the more personal story. What deceased person would you speak to from your own family? From your own past? And could A.I. uncover skeletons in the closet? Secrets we never knew, that we never realized had such a great impact on our lives and shaped who we became? Thats the story I really wanted to explore, but with the pulse of a fast-paced mystery thriller.

As with many second act novelists, Sheinbaum put his early affinity for creative writing on hold while pursuing a 35-year career in finance at corporations like JPMorgan Chase and American Express. After retiring, he enrolled in a writers workshop.

We were given simple prompts and 20 minutes, where we were told to write whatever comes to mind and well share your work. Talk about feeling exposed! Sheinbaum said. Before I knew it, I had two full pages in front of me. The concepts within Memories Live Here came from one of those early prompts, a riff from that one sentence that kept going.

Sheinbaum cites a combination of influences on his writing, like author Michael Crichton (Jurassic Park) and an array of mysteries that dig up family secrets.

Like the brothers in the book, Sheinbaum grew up in Sheepshead Bay, a neighborhood in Brooklyn, but said there are only limited similarities to his own life. Its not autobiographical at all, but of course I mined my own experiences when creating the characters within this family, he said. Luckily, I have a good relationship with my brother, but there was plenty of friction between my parents.

Sheinbaum admits that writing the story was somewhat cathartic. In a way, I gave my parents a voice, to portray one possible explanation, he said. Even though it wasnt their story, or my story, it could have been.

A father of two grown children, Sheinbaum graduated from State University of New York at Albany, where he majored in business administration, and NYU, where he earned an MBA. He and his wife are empty nesters who lived in Chappaqua and Ardsley before moving to Scarsdale in 2018.

In the book, Sheinbaums dedication reads, Its never too late, which, he says, carries a double meaning. Obviously, its never too late to pursue your dreams. But in terms of the story, its also never too late to try to understand, or to let go of the things that can be destructive in our lives, and to forgive. I hope thats a piece of what all readers take away from the story.

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What were they thinking?: Where artificial intelligence meets family dysfunction - scarsdalenews.com

Strawberries can be easy to grow especially, it seems, if you're an algorithm.

When farmers in China competed to grow the fruit with technology including machine learning and artificial intelligence, the machines won, by some margin.

Data scientists produced 196% more strawberries by weight on average compared with traditional farmers.

The technologists also outperformed farmers in terms of return on investment by an average of 75.5%

The inaugural Smart Agriculture Competition was co-organized by Pinduoduo, China's largest agri-focused technology platform, and the China Agricultural University, with the Food and Agriculture Organization of the United Nations as a technical adviser.

Teams of data scientists competed over four months to grow strawberries remotely using Internet of Things technology coupled with artificial intelligence (AI) and machine learning-driven algorithms.

In the competition, the technology teams had the advantage of being able to control temperature and humidity through greenhouse automation, the organizers said. Using technology such as intelligent sensors, they were also more precise at controlling the use of water and nutrients. The traditional farmers had to achieve the same tasks by hand and experience.

One of the teams, Zhi Duo Mei, set up a company to provide its technology to farming cooperatives after it generated a lot of interest during the competition.

The contest helped the traditional farmers and the data scientists better understand each other's work and how they could collaborate to everyone's advantage, the leader of the Zhi Duo Mei team, Cheng Biao, said.

Pinduoduo

Numerous studies show the potential for Fourth Industrial Revolution technologies like AI to boost economic growth and productivity.

By 2035, labour productivity in developed countries could rise by 40% due to the influence of AI, according to analysis from Accenture and Frontier Economics.

Sweden, the US and Japan are expected to see the highest productivity increases.

In its Future of Jobs Report 2020, the World Economic Forum estimates that by 2025, 85 million jobs may be displaced by a shift in the division of labour between humans and machines, while 97 million new roles may emerge that are more adapted to the new division of labour between humans, machines and algorithms.

Emerging technologies including AI and drones will also play a vital role in helping the world recover from COVID-19, according to a separate Forum report compiled with professional services firm Deloitte.

The Global Technology Governance Report 2021 considers some of the most important applications for these technologies and the governance challenges that should be addressed for these technologies to reach their full potential.

Reprinted with permission of the World Economic Forum. Read the original article.

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