Artificial intelligence market growth is driven by an increasing adoption of cloud-based applications and services, and rise in the connected device market. Additionally, considerable investments in 5G technology and increase in demand for intelligent virtual assistants are playing key role in AI market development. For instance, in March 2019 Apple Inc. acquired machine learning startup Laserlike of Silicon Valley which is aimed to strengthen its artificial intelligence efforts, including the companys virtual assistant called Siri.

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Artificial intelligence is based on complex mathematical models that requires large amount of data. This requirement of data can be easily fulfilled by cloud technology in secure and reliable environment at low cost. Key players such as Microsoft Corporation, IBM Corporation, and Amazon are focusing on integrating cloud computing with artificial intelligence. Some of the AI cloud services are Amazon AWS AI, Google Cloud Machine Learning, and HPE HavenOnDemand. These cloud computing services are backed up by Analytics as a Service (AaaS) offerings and allow users to quickly develop and run intelligent applications.

Big data has a key role in data mining, management, handling the enormous data generated and is considered among leading trends in the artificial intelligence market landscape. The robust increasing volume of structured and unstructured data is creating huge demand for big data applications. Big data, when enabled with AI, allows user to enhance and automate complex descriptive and predictive analytical tasks. Due to this, enterprises are inclining towards the adoption and implementation of big data enabled AI solutions.

"Focus on Improving Operational Efficiency and Customer Service to Augment AI Market Development"

The number of AI technology experts is limited at present. The key artificial intelligence market opportunities include the potential of improving operational efficiency in the manufacturing industry and improving customer service in the retail sector. The market is likely to gain traction from the rising availability of high-quality and personalized AI-enhanced products and services.

Further, increasing implication of machine learning (M2M, M2P) applications in manufacturing industries is anticipated to drive the market in the forecast period. For instance, in 2018, IBM Corporation acquired Armanta Inc. with an aim to provide AI-based cloud computing platform to financial services firms to fulfil business demands such as CECL (Current Expected Credit Loss Model), FRTB (Fundamental Review of the Trading Book), traded credit risk, and liquidity, portfolio management and more.

"Development of AI-powered Industrial Robots to Drive Market"

The demand for customized robots has increased robustly over the past decade. Several key players in developed countries are currently focusing on manufacturing and supplying AI-powered industrial robots. For instance, in 2016, China supplied around 87,000 units of industrial robots worldwide. Similarly, in 2016, South Korea and Japan supplied around 41,400 and 38,600 units respectively. These industrial robots require artificial intelligence platform for their functioning. This, in turn is augmenting the artificial intelligence technology adoption.

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"Difficulty in Data Labelling and Limited Application in Complex Models to Restrict Market Growth"

Critical challenges affecting the growth of artificial intelligence market include concerns regarding data privacy and unreliability of AI algorithms. In some cases, artificial intelligence is unable to perform automated labelling for underlying data. For this service, professionals are hired to handle the labelling. Further, due to its complex model, AI implementation remains low in applications where extensive explanatory features are required. Another factor inhibiting the growth of this market is lack of AI skilled professionals.

"AI-based Services to Gain Momentum during the Forecast Period"

Based on the component, the market is classified into hardware, software, and services. Software segment accounts for the maximum share of the market. In the case of AI-based services, the initial investment is comparatively low while there are high returns. By incorporating AI in cloud services and enterprise software, companies can implement/deploy cognitive technology with low initial cost and minimal risk. For instance, Netflix used AI to improve search results, thereby reducing subscription cancellations and saving around USD 1 billion in a year from potential revenue loss.

"Natural Language Processing to Account for Maximum Share"

By technology, the market segments include computer vision, machine learning, natural language processing, and others. Computer vision in AI function identifies patterns along with acquiring, analyzing and synthesizing realistic interactive interfaces and then uses ID tags to present photos of related items. In natural language processing, AI techniques function to analyze natural language in both spoken and written forms.

This segment accounts for the maximum share since it serves many essential applications such as machine translation, text parsing, semantic disambiguation, speech processing, and Informational Retrieval (IR). Among technologies, machine learning is expected to be the fastest-growing segment. It enhances the machines ability to learn and improve without the need for human intervention or developing new programming languages.

"AI Adoption to Increase Majorly in BFSI and Government Sectors "

Global artificial intelligence market based on end-user industry includes healthcare, retail, advertising & media, BFSI, automotive & transportation, government, manufacturing, and others. Of these, advertising & media, retail, and BFSI together occupy for nearly half of the market share. Advances in AI have garnered extensive interest from the private and public sectors, which suggests market growth in the government segment. AI adoption trend in retail has the potential to foster mass production of consumer goods and other labor-intensive activities from which human potential can be freed. Several industry players are focusing on developing and deploying Industry 4.0 which is augmenting the growth of AI-enabled devices in the manufacturing sector.

The findings based on our research methodology indicate North America to hold the largest share in the global artificial intelligence (AI) market during the forecast period. North America, being technologically advanced in terms of analytical tools, machine learning, and natural language processing technologies shows signs of emerging as dominant geography throughout the forecast period. Moreover, awareness about the advantages of artificial intelligence tools is widespread in the region. Europe is expected to hold the second position in this market by witnessing moderate growth in long-term period.

North America Artificial Intelligence (AI) Market, 2018 (USD Billion)

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As per our market research study, Asia Pacific is expected to witness healthy growth in terms of AI implementation. The Chinese government is supporting an AI intelligence plan by merging with Baidu, Inc., to create a national deep learning laboratory comprising of intelligent logistics, smart agriculture, manufacturing, military, and other end use applications. A growing number of biopharma companies in Asia Pacific are using AI to streamline the drug discovery process. AI algorithms can analyze large volumes of data sets from health records, clinical trials, pre-clinical studies, and genetic profiles. Trends and pattern observed within this data can help develop theories and suggestions at a much faster rate compared to the human research process while delivering quick insights. Further, developed countries such as Japan are increasingly investing in AI, thereby accounting for the majority of market share in the region.

"Apple Inc. Focusses on Strategic Acquisition of Innovative Startups to Strengthen its AI Solution Offerings"

"Key Players to Maintain their Strong Position Across Different AI-related Areas"

Key companies are investing considerable sums in artificial intelligence. Software and information technology services firms and AI-focused startups have been gaining interest and support from investors. Further, the majority of startup companies working in the AI market are focusing on applications for machine learning, a type of artificial intelligence tool that allows computers to function without human assistance.

At present, the global artificial intelligence market is dominated by the top ten market players holding nearly half of the share. The dominance of key players is dependent on their spending in the research & development of advanced AI tools, operational efficiency, technology upgradation, and innovative strategic partnerships and acquisitions.

AI functionality based system and tools based on different technologies have been offered by key players which eliminate the possibility of human errors from operations to a great extent. At present, the key objective of market innovators is to create expert artificial intelligence systems by using deep learning and neural networks algorithms. These are some of the crucial factors expected to affect the market positioning of players.

The field of artificial intelligence is shifting towards building smart ecosystem, to efficiently collaborate with humans, and educate them about new technologies and their related benefits. AI integration is likely to improve end-to-end supply chain visibility and accelerated information sharing and decision making. This can be achieved by means of cognitive technology, predictive analytics, collaboration technology, and generating automated reports.

The report offers qualitative and quantitative insights on artificial intelligence solutions and services and the detailed analysis of market size & growth rate for all possible segments in the market.

An Infographic Representation of Artificial Intelligence Market

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Along with this, the report provides an elaborative analysis of market dynamics, emerging trends, and competitive landscape. Key insights offered in the report are the adoption trends of AI solutions by individual segments, recent industry developments such as partnerships, mergers & acquisitions, consolidated SWOT analysis of key players, Porters five forces analysis, business strategies of leading market players, macro and micro-economic indicators, and key industry trends.

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ATTRIBUTE

DETAILS

Study Period

2015-2026

Base Year

2018

Forecast Period

2019-2026

Historical Period

2015-2017

Unit

Value (USD billion)

Segmentation

By Component

By Technology

By Industry Vertical

By Region

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Artificial Intelligence Market Size, Growth | Analysis 2026

A bevy of themes, including cloud computing, streaming entertainment and video games, are benefiting from shelter-in-place and social distancing protocols forced by the coronavirus.

Somewhat lost in the coronavirus winning theme trend is the performance of artificial intelligence and robotics names, which are strutting their stuff as social distancing winners. For example, the Indxx Global Robotics and Artificial Intelligence Thematic Index is up almost 40% over the past 90 days.

That's great news for the Direxion Daily Robotics, Artificial Intelligence & Automation Index Bull 3X Shares (NYSE: UBOT), the only game in town when it comes to leveraged robotics exchange traded funds. UBOT is designed to deliver triple the daily returns of the Indxx Global Robotics and Artificial Intelligence Thematic Index.

Data confirm UBOT is one leveraged ETF with virus benefits as it's more than doubled in just 60 days.

Propelling this growth is a heightened awareness among executives, investors, and management teams that contemporary life is permanently and fundamentally changed as a result of the COVID-19 outbreak, said Direxion in a recent note. For good or ill, the virus has put centuries-old customs and practices that have prevailed in the corporate world under modern scrutiny.

Understand UBOT's rally isn't difficult. The coronavirus shined a light on vulnerabilities in global logistics and supply chain, areas robotics companies are expected to shore up in the coming years.

Among the most apparent weak points in the global economy affected in the current viral crisis are those industries where human employees are expected to work in close proximity to others, with businesses in manufacturing, logistics or even the retail and healthcare industries unable to safely keep employees on the assembly line or in the field without risking exposure to the virus, notes Direxion.

UBOT is a leveraged ETF so it's not a long-term investment, but tactical traders ought to keep an eye on the fund because of the compelling growth story offered by robotics investments one that was established prior to Covid-19.

Even before the pandemic, these operational functions were rapidly being taken over by intelligent software or data workflow systems, notes Direxion. A recent report by technology industry analyst firm Gartner estimates that enterprise software like the kind used in process automation was the fastest-growing segment of the IT market in 2019. And despite the headwinds represented by the pandemic, the firm predicts that spending on software that will increase operational efficiency will remain relatively steady compared to other segments.

2020 Benzinga.com. Benzinga does not provide investment advice. All rights reserved.

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(UBOT) - Mr. Roboto And Artificial Intelligence Are Social ...

In 2018, I wrote about a research project that was focused on building a large dataset around unstructured, everyday cooking actions and behaviors called EPIC-KITCHENS.

The project, which is being led by a group of university researchers, is designed to provide an open-source set of data that will allow artificial intelligence research teams to build better computer models that can better understand and identify behavior in the kitchen.

From the post in 2018:

The ultimate goal behind EPIC-KITCHENS is to create an open dataset about kitchen-centric objects, behavior, and interactions upon which researchers across the world can then focus their deep-learning algorithms on in the hope of advancing artificial intelligence in the kitchen.

Since those early days, the project has continued to progress, recently releasing a newly expanded dataset and publishing the results from the second annual challenge. The first research challenge, completed in 2019, was focused researchers building models that can recognize actions in the kitchen. The recently completed challenge focused on action anticipation, where they asked researchers to predict what action would take place after one second of video.

Researchers who competed in the most research challenge include teams from a variety of universities spanning the globe from Cambridge to Georgia to Singapore as well as some corporate research labs such as the AI team from Facebook.

I recently caught up with the resesarch lead for EPIC-KITCHENS, Dr. Dima Damen from the University of Bristol in the United Kingdom, who told me that the various research teams competing used a variety of approaches to help make their systems better at recognizing and predicting actions based on the information from the video.

There are some people whove used audio, said Damen. So theyve used the audio from the video to identify something like opening the tap versus closing the tap. Traditionally, computer vision has relied on just images without like videos without sound.

There are some people who looked on a very big set of things, at what happened the past minute, because thats helping them. And there are people who said, no, Ill focus on the objects, like where the hand is, where the object is, thats a better approach.'

For the next set of challenges, the group is providing a newly expanded set of data and asking them to focus on things such as test of time, where they ask if models trained two years ago still perform well and scalabilty, where they will have researchers look at whether more data is better.

Part of the expanded data will be a newly broadened dataset called EPIC-KITCHEN-100, where new footage brings the total number of hours of video captured to 100. According to Damen, the new video is from a cohort that included participants from both the previous study (half of the original 32 participants agreed to participate again) and 8 new participants.

According to Damen, by bringing back past participants, it will allow the computer models to better understand kitchen behavior by factoring in what happens with the passage of time, like in real life, but also better understanding how small changes can impact the results.

Its the natural progression, like how life will be, said Damen. The question is what happens to computer vision in the meanwhile? So its tiny tiny changes, right? Its a slightly new camera, people might have moved home, and then were asking more questions that we believe would be interest to the community.

Damen said she hopes that her technology can help build better technology and systems that could be of help to humans who need assistance.

So there are new questions that are being asked which, interestingly, even the assistive technology community is not talking about. As in, if you want to help someone, sometimes you can guess what theyre doing, but many times you cant.

Spoon Plus Subscribers can read the full transcript of our conversation and watch my video interview with Daman below.

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The EPIC-KITCHENS Project is Building a Foundation For Artificial Intelligence in the Kitchen - The Spoon

The Artificial Intelligence in Security Market is segmented on the lines of its application, technology, service type and regional. Basis of application is segmented into Anomaly Detection, Firewall, Intrusion Detection, Distributed Denial of Services, Data Loss Prevention, Web Filtering.

FYI, You will get latest updated report as per the COVID-19 Impact on this industry. Our updated reports will now feature detailed analysis that will help you make critical decisions.

The Artificial Intelligence in Security Market is expected to exceed more than US$ 35 Billion by 2024 at a CAGR of 31% in the given forecast period.

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The scope of the report includes a detailed study of Artificial Intelligence in Security Market with the reasons given for variations in the growth of the industry in certain regions

This report provides:

1) An overview of the global market for Artificial Intelligence in Security Market and related technologies.2) Analyses of global market trends, with data from 2015, estimates for 2016 and 2017, and projections of compound annual growth rates (CAGRs) through 2024.3) Identifications of new market opportunities and targeted promotional plans for Artificial Intelligence in Security Market

4) Discussion of research and development, and the demand for new products and new applications.5) Comprehensive company profiles of major players in the industry.

The major driving factors of Artificial Intelligence in Security Market are as follows:

The major restraining factors of Artificial Intelligence in Security Market are as follows:

Artificial intelligence in cyber security will increase efficiency and precision of the system to observe any potential threat in organizations system. Organizations increasing their horizon to completely different geographies are generating voluminous data to realize insights and are using analysis techniques to enhance their product offerings. However, cyber-criminals and hackers breach the structure security to realize access to confidential and classified information. The growing has to be compelled to protect this knowledge from outside threat is resulting in the adoption of this resolution.

The Artificial Intelligence in Security Market has been segmented as below:

The Artificial Intelligence in Security Market is segmented on the Basis of Application Type, Technology Type, Service Type and Regional Analysis. By Application Type this market is segmented on the basis of Intrusion Detection, Web Filtering, Anomaly Detection, Firewall, Data Loss Prevention and Distributed Denial of Services.

By Technology Type this market is segmented on the basis of Speech Recognition, Machine Learning, Image Processing and Natural Language Processing. By Service Type this market is segmented on the basis of Cloud Security, Data Security, Network Security, Identity & Access Security and Others. By Regional Analysis this market is segmented on the basis of North America, Europe, Asia-Pacific and Rest of the World.

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Table of Contents

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Artificial Intelligence in Security Market 2019 | How The Industry Will Witness Substantial Growth In The Upcoming Years | Exclusive Report By MRE -...

The occurrence of COVID-19 pandemic has forced a negative impact on the AI in construction market. COVID-19 is having a huge impact on construction projects, as this disease is communicable, and can be easily spread by air, mouth, and others. Due to this all the commercial and retail segments have been shut down owing to which the rental incomes have decreased. The construction industry has thus suffered a lot during this crisis. For instance, people who work in open air conditions may be in a better position to comply with the new health and safety precautions than people working in an enclosed environment. In addition, WHO has made health and safety risk assessments mandatory in all cases where work is ongoing. These measures need to be consistent with all medical, scientific, and government guidelines, and it is contractors responsibility to provide a safe working environment. In the course of this chaos, we are offering complete support to our clients in understanding the influence of COVID-19 on the global AI in construction industry. Our report consists of:

Check out How COVID-19 impact on the AI in Construction Market. Click here to Connect with Analyst @ https://www.researchdive.com/covid-19-insights/222/ai-in-construction-market#myQueryForm

According to a recent report published by Research Dive, theglobal AI in construction marketis anticipated to garner $2,325.9 million by 2026, growing at a rate of 24.1% from 2018 to 2026. The report segments the global market on the basis of applications, and regions. This report is a comprehensive analysis of recent drivers, key segments, opportunities, restraints, and major players of the market.

Factors Affecting the Market Growth

As per the report, rise in need for safety measures at construction sites, and increase in demand for IoT, and growing adoption of security sensors & machine telematics are expected to greatly fuel the growth of the AI in construction industry, during the forecast period. On the other hand, huge expenses incurred in the acquisition of AI are likely to hamper the development of the global AI in construction market.

Planning & Design to be at the Forefront During the Projected Timeframe

By application, the report categorizes the market for AI in construction into safety, planning & design, maintenance & monitoring, and equipment. Among these, the planning & design segment is expected to grab highest share of the market by collecting a revenue of $903.6 million in 2026, growing at a healthy growth rate of 26.6% during the forecasted timeframe.

Check out How Global AI in construction marketis anticipated to garner $2,325.9 million by 2026, growing at a rate of 24.1% from 2018 to 2026 @ https://www.researchdive.com/covid-19-insights/222/ai-in-construction-market

Regional Breakdown of the Market

Regionally, the report evaluates the global market across North America, Europe, Asia Pacific, and LAMEA. Among these, the Asia-Pacific region is anticipated to generate a revenue of $793.3 million in 2026 and grow at a CAGR 26.6% during the projected period. This growth is mainly due to the presence of large number of manufacturers in this region.

Top Companies Leading the Market

The major players of the global AI in construction industry are IBM, Microsoft, Oracle, SAP, Alice Technologies, eSUB, Smartvid.io, Aurora Computer Services, Autodesk, and Building System Planning. These players are implementing various business strategies like mergers and acquisitions, collaborations & partnerships in order to gain a major market share in the global industry.

About Us:Research Dive is a market research firm based in Pune, India. Maintaining the integrity and authenticity of the services, the firm provides the services that are solely based on its exclusive data model, compelled by the 360-degree research methodology, which guarantees comprehensive and accurate analysis. With unprecedented access to several paid data resources, team of expert researchers, and strict work ethic, the firm offers insights that are extremely precise and reliable. Scrutinizing relevant news releases, government publications, decades of trade data, and technical & white papers, Research dive deliver the required services to its clients well within the required timeframe. Its expertise is focused on examining niche markets, targeting its major driving factors, and spotting threatening hindrances. Complementarily, it also has a seamless collaboration with the major industry aficionado that further offers its research an edge.

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Artificial Intelligence in Construction Market Overview, Size, Share, Future Growth and Forecast Report by 2026 with Leading Players - 3rd Watch News

Artificial intelligence (AI) is at the top of the buzzword bingo reel in the world of tech, and for good reason. Were seemingly shifting from the era of businesses (and the public) talking about AI and marvelling at its mysterious power, to wondering how it can be used to best tackle real-world challenges day to day.

That said, with the fine-tuning of the technology comes increasing attempts to exploit some of its frailties. So just how will the world harness, advance and protect AI technology within the year to come? Here are few of the more edge-case applications of AI taking place.

Advances in deep-learning and AI continue to make deepfakes more realistic. This technology has already proven itself dangerous in the wrong hands; many predict that deepfakes could provide a dangerous new medium for information warfare, helping to spread misinformation or fake news. The majority of its use, however, is in the creation of non-consensual pornography which most frequently targets celebrities, owed to large amounts of data samples in the public domain.Deepfake technology has also been used in highly-sophisticated phishing campaigns.

Beyond illicit ingenuity in shady corners of cyberspace, the fundamental technology is proving itself a valuable tool in a few other disparate places. Gartners Andrew Frank called the technology a potential asset to enterprises in personalized content production: Businesses that utilize mass personalization need to up their game on the volume and variety of content that they can produce, and GANs [Generative Adversarial Network] simulated data can help.

Last year, a video featuring David Beckham speaking in nine different languages for a Malaria No More campaign was released. The content was a result of video manipulation algorithms and represented how the technology can be used for a positive outcome reaching a multitude of different audiences quickly with accessible, localized content in an engaging medium.

Meanwhile, a UK-based autonomous vehicle software company has developed deepfake technology that is able to generate thousands of photo-realistic images in minutes, which helps it train autonomous driving systems in lifelike scenarios, meaning the vehicle makers can accelerate the training of systems when off the road.

The Financial Times also reported on a growing divide between traditional computer-generated graphics which are often expensive and time-consuming and the recent rise in deepfake tech, while Disney used deepfake technology to include the young version of Harrison Ford as Han Solo in the recent Star Wars films.

Facial recognition is enabling convenience, whether its a quick passport check-in process at the airport (remember those?) or the swanky facial software in newer phone models. But AIs use in facial recognition extends now to surveillance, security, and law enforcement. At best, it can cut through some of the noise of traditional policing. At worst, its susceptible to some of its own in-built biases, with recorded instances of systems trained on misrepresentative datasets leading to gender and ethnicity biases.

Facial recognition has been dragged to the fore of discussion, following its use at BLM protests and the wrongful arrest of Robert Julian-Borchak Williams at the hand of faulty AI algorithms earlier this year. A number of large tech firms, including Amazon and IBM,have withdrawn their technology from use by law enforcement.

AI has a long way to go to match the expertise of our human brains when it comes to recognizing faces. These things on the front of us are complex and changeable; algorithms can be easily confused. Theres a roadmap of hope for the format, though, thanks to further advances in deep-learning. As an AI machine matches two faces correctly or incorrectly, it remembers the steps and creates a network of connections, picking up past patterns and repeating them or altering them slightly.

Facial recognitions controversies have furthered discussions around ethical AI, allowing us to clearly understand the tangible impact of misrepresentative datasets in training AI models, which are equally worrying in other applications and use cases, such as recruitment.As the technology is deployed into more and more areas in the world around us, its dependability, neutrality and compliance with existing laws becomes all the more critical.

With every promising advance in technology comes another challenge, and a recent CBInsights paper warns of AIs role in the rise of new-age hacks.

Sydney-based researchers Skylight Cyber reported finding an inherent bias in an AI model developed by cybersecurity firm Cylance, and were able to create a universal bypass that allowed malware to go undetected. They were able to understand how the AI model works, the features it uses to reach decisions, and create tools to fool it time and again. Theres also the potential for a new crop of hackers and malware to poison data corrupting AI algorithms and disrupting the usual detection of malicious/normal network behaviour. This problematic level of manipulation doesnt do a lot for the plaudits that many cybersecurity firms give to products that use AI.

AI is also being used by the attackers themselves. In March last year, scammers were thought to have leveraged AI to impersonate the voice of a business executive at a UK-based energy business, requesting from an employee the successful transfer of hundreds and thousands of dollars to a fraudulent account.More recently, its emerged that these concerns are valid, and not a whole lot of sophistication is required to pull them off. As seen in the case of Katie Jones a fake LinkedIn account used to spy and phish information from her connections an AI-generated image was enough to dupe unsuspecting businessmen into connecting and potentially sharing sensitive information.

Meanwhile, some believe AI-driven malware could be years away if on the horizon at all but IBM has researched how existing AI models can be combined with current malware techniques to create challenging new breeds in a project dubbed DeepLocker. Comparing its potential capabilities to a sniper attack as opposed to traditional malwares spray and pray approach, IBM said DeepLocker was designed for stealth: It flies under the radar, avoiding detection until the precise moment it recognizes a specific target.

Theres no end to innovation when it comes to cybercrime, and we seem set for some sophisticated, disruptive activity to emerge from the murkier shadows of AI.

Automated machine learning, or AutoML (a term coined by Google), reduces or completely removes the need for skilled data scientists to build machine learning models. Instead, these systems allow users to provide training data as an input, and receive a machine learning model as an output.

AutoML software companies may take a few different approaches. One approach is to take the data and train every kind of model, picking the one that works best. Another is to build one or more models that combine the others, which sometimes give better results. Businesses ranging from motor vehicles to data management, analytics and translation are seeking refined machine learning models through the use of AutoML. With a marked shortage of AI experts, this technology will help democratise the tech and cut down computing costs.

Despite its name, AutoML has so far relied a lot on human input to code instructions and programs that tell a computer what to do. Users then still have to code and tune algorithms to serve as building blocks for the machine to get started. There are pre-made algorithms that beginners can use, but its not quite automatic.

Google computer scientists believe they have come up with a new AutoML method that can generate the best possible algorithm for a specific function, without human intervention. The new method is dubbed AutoML-Zero, which works by continuously trying algorithms against different tasks, and improving upon them using a process of elimination, much like Darwinian evolution.

AI and machine learning may be streamlining processes, but they are doing so at some cost to the environment.

AI is computationally intensive (it uses a whole load of energy), which explains why a lot of its advances have been top-down. As more companies look to cut costs and utilize AI, the spotlight will fall on the development and maintenance of energy-efficient AI devices, and tools that can be used to turn the tide by pointing AI expertise towards large-scale energy management.

Artificial Intelligence also has a role in augmenting energy efficiency. Tech giants are using systems that can gather data from sensors every five minutes, and use algorithms to predict how different combinations of actions will positively or negatively affect energy use.

In 2018, Chinas data centers produced 99 million metric tons of carbon dioxide (thats equivalent to 21 million cars on the road). Worldwide, data centers consume 3 to 5 percent of total global electricity, and that will continue to rise as we rely more on cloud-bases services. Savvy to the need to go green, tech giants are now employing AI systems that can gather data from sensors every five minutes, and use algorithms to predict how different combinations of actions will positively or negatively affect energy use. AI tools can also spot issues with cooling systems before they happen, avoiding costly shutdowns and outages for cloud customers.

From low power AI processors in edge technologies to large scale renewable energy solutions (thats AI dictating the angle of solar panels, and predicting wind power output based on weather forecasts), there are positive moves happening as we enter the 2020s. More green-conscious, AI-intensive tech firms are popping all the time, and we look forward to seeing how they navigate the double-edged sword of energy-guzzling AI being used to mitigate the guzzling of energy.

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Exploring the edge cases of artificial intelligence in 2020 - TechHQ

The latest market intelligence study on Artificial Intelligence in Medicine relies on the statistics derived from both primary and secondary research to present insights pertaining to the forecasting model, opportunities, and competitive landscape of Artificial Intelligence in Medicine market for the forecast period.

The global artificial intelligence (AI) in medicine market was valued at $719 million in 2017 and is estimated to reach $18,119 million at a CAGR of 49.6% from 2018 to 2025. AI is an intelligent system that applies various human intelligence-based functions such as reasoning, learning, and problem-solving skills. AI technology uses software and different algorithms in the field of pharmaceuticals to support the decision-making processes for existing drugs and repurposing drugs to treat other conditions, along with accelerating the clinical trials process by finding the right patients from several data sources.

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The Major Market Player Included in This Report are:

Welltok, Inc.Intel CorporationNvidia CorporationGoogle Inc.IBM CorporationMicrosoft CorporationGeneral Vision, Inc.Enlitic, Inc.BioXcel CorporationBerg Health.

Scope of the Report:

The research on the Artificial Intelligence in Medicine market concentrates on extracting valuable data on swelling investment pockets, significant growth opportunities, and major market vendors to help understand business owners what their competitors are doing best to stay ahead in the competition. The research also segments the Artificial Intelligence in Medicine market on the basis of end-user, product type, application, and demography for the forecast period 20202025. Detailed analysis of critical aspects such as impacting factors and competitive landscape are showcased with the help of vital resources, which include charts, tables, and info graphics.

For more clarity on the real potential of the Artificial Intelligence in Medicine market for the forecast period 20202025, the study provides vital intelligence on major opportunities, threats, and challenges posed by the industry. Additionally, a strong emphasis is laid on the weaknesses and strengths of a few prominent players operating in the same market. Quantitative assessment of the recent momentum brought about by events such as collaborations, acquisition and mergers, product launches and technology innovation empower product owners, as well as marketing professionals and business analysts make a profitable decision to reduce cost and increase their customer base.

Geographically, this report focuses on product sales, value, market share, and growth opportunity in key regions such asUnited States, Europe, China, Japan, Southeast Asia, and India.

Our reports will help clients solve the following issues:

Insecurity about the future:

Our research and insights help our clients anticipate upcoming revenue compartments and growth ranges. This helps our client invest or divest their assets.

Understanding market opinions:

It is extremely vital to have an impartial understanding of market opinions for a strategy. Our insights provide a keen view on the market sentiment. We keep this reconnaissance by engaging with Key Opinion Leaders of a value chain of each industry we track.

Understanding the most reliable investment centers:

Our research ranks investment centers of market by considering their future demands, returns, and profit margins. Our clients can focus on most prominent investment centers by procuring our market research.

Evaluating potential business partners:

Our research and insights help our clients in identifying compatible business partners.

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The Latest research study released by HTF MI Global Artificial Intelligence (AI) Cars and Light Trucks Market with 100+ pages of analysis on business Strategy taken up by key and emerging industry players and delivers know how of the current market development, landscape, technologies, drivers, opportunities, market viewpoint and status. Understanding the segments helps in identifying the importance of different factors that aid the market growth. Some of the Major Companies covered in this Research are AMD, Apple, Audi, BAE Systems, BMW, Bosch Group, Ford, General Dynamics, GM/Cadillac, Google, Hyundai, IBM, Mitsubishi, Nissan, NVIDIA, NXP, Qualcomm, Softbank, Texas Instruments (TI), Tesla, Toyota, Volvo, WiTricity & Uber etc.

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Browse market information, tables and figures extent in-depth TOC on Artificial Intelligence (AI) Cars and Light Trucks Market by Application (Luxury Car, Medium-Sized Cars & Light Truck/SUV), by Product Type (, Hardware, Software & Service), Business scope, Manufacturing and Outlook Estimate to 2025.

The global impacts of the coronavirus disease 2019 (COVID-19) have significantly affecting the Infrastructure in overall market in 2020. The outbreak of COVID-19 has brought effects on many aspects, like flight cancellations; travel bans and quarantines; restaurants closed; all indoor events restricted; over forty countries state of emergency declared; massive slowing of the supply chain; stock market volatility; falling business confidence, growing panic among the population, and uncertainty about future. Know more with latest edition of Global Artificial Intelligence (AI) Cars and Light Trucks Market Study; Early buyers will receive 20% customization free on report

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At last, all parts of the Global Artificial Intelligence (AI) Cars and Light Trucks Market are quantitatively also subjectively valued to think about the Global just as regional market equally. This market study presents basic data and true figures about the market giving a deep analysis of this market based on market trends, market drivers, constraints and its future prospects. The report supplies the worldwide monetary challenge with the help of Porters Five Forces Analysis and SWOT Analysis.

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Customization of the Report: The report can be customized as per your needs for added data up to 3 businesses or countries or 40 analyst hours.On the basis of report- titled segments and sub-segment of the market are highlighted below:Global Artificial Intelligence (AI) Cars and Light Trucks Market By Application/End-User (Value and Volume from 2019 to 2025) : Luxury Car, Medium-Sized Cars & Light Truck/SUV

Market By Type (Value and Volume from 2019 to 2025) : , Hardware, Software & Service

Global Artificial Intelligence (AI) Cars and Light Trucks Market by Key Players:AMD, Apple, Audi, BAE Systems, BMW, Bosch Group, Ford, General Dynamics, GM/Cadillac, Google, Hyundai, IBM, Mitsubishi, Nissan, NVIDIA, NXP, Qualcomm, Softbank, Texas Instruments (TI), Tesla, Toyota, Volvo, WiTricity & UberGeographically, this report is segmented into some key Regions, with manufacture, depletion, revenue (million USD), and market share and growth rate of Artificial Intelligence (AI) Cars and Light Trucks in these regions, from 2012 to 2022 (forecast), covering China, USA, Europe, Japan, Korea, India, Southeast Asia & South America and its Share (%) and CAGR for the forecasted period 2019 to 2025.

Informational Takeaways from the Market Study:The report Artificial Intelligence (AI) Cars and Light Trucks matches the completely examined and evaluated data of the noticeable companies and their situation in the market considering impact of Coronavirus. The measured tools including SWOT analysis, Porters five powers analysis, and assumption return debt were utilized while separating the improvement of the key players performing in the market.

Key Developments in the Market:This segment of the Artificial Intelligence (AI) Cars and Light Trucks report fuses the major developments of the market that contains confirmations, composed endeavors, R&D, new thing dispatch, joint endeavours, and relationship of driving members working in the market.

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Some of the important question for stakeholders and business professional for expanding their position in the Global Artificial Intelligence (AI) Cars and Light Trucks Market :Q 1. Which Region offers the most rewarding open doors for the market Ahead of 2020?Q 2. What are the business threats and Impact of COVID scenario Over the market Growth and Estimation?Q 3. What are probably the most encouraging, high-development scenarios for Artificial Intelligence (AI) Cars and Light Trucks movement showcase by applications, types and regions?Q 4.What segments grab most noteworthy attention in Artificial Intelligence (AI) Cars and Light Trucks Market in 2019 and beyond?Q 5. Who are the significant players confronting and developing in Artificial Intelligence (AI) Cars and Light Trucks Market?

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Key poles of the TOC:Chapter 1 Global Artificial Intelligence (AI) Cars and Light Trucks Market Business OverviewChapter 2 Major Breakdown by Type [, Hardware, Software & Service]Chapter 3 Major Application Wise Breakdown (Revenue & Volume)Chapter 4 Manufacture Market BreakdownChapter 5 Sales & Estimates Market StudyChapter 6 Key Manufacturers Production and Sales Market Comparison Breakdown..Chapter 8 Manufacturers, Deals and Closings Market Evaluation & AggressivenessChapter 9 Key Companies Breakdown by Overall Market Size & Revenue by Type..Chapter 11 Business / Industry Chain (Value & Supply Chain Analysis)Chapter 12 Conclusions & Appendix

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Artificial Intelligence Cars and Light Trucks Market Sets the Table for Continued Growth | Apple, Audi, BAE Systems, BMW - Jewish Life News

VANCOUVER, BC, July 20, 2020 /CNW/ -Loop Insights Inc. (TSXV: MTRX) (the "Company" or "Loop"), a provider of contactless solutions and Artificial Intelligence ("AI") to drive marketing and real-time consumer insights, is pleased to announce the signing of an MOU with ImagineAR (CSE: IP); (OTCQB: IPNFF) an Augmented Reality ("AR") mobile platform.

The integration of each company's respective technologies into a singular platform will deliver personalized promotions and targeted engagement, leading to higher conversions and transaction revenue in the professional sports, entertainment, and retail industries.

Both companies are well supported and positioned with Loop recently becoming a member of the Amazon Partner Network and ImagineAR being a Microsoft co-sell Azure partner. ImagineAR clients include NBA Sacramento Kings, AT&T, Mall of America, and the Basketball Hall of Fame.

LOOP INSIGHTS ENTERING COMMERCIALIZATION WITH TIER-1 CUSTOMERS AND NORTH AMERICAN TELECOM GIANTS

On July 13, 2020, Loop announced the acceleration of conversations and projects with two of Canada's largest telecommunications companies, as well as, two of the largest network providers in the United States. Moreover, the Company is in advanced discussions with major organizations in the NFL, NHL, NCAA, and a globally renown Casino company.

Loop Insights CEO Rob Anson stated: "Loop Insights utilization of Artificial Intelligence and IoT technology was already turning heads in retail with our ability to deliver dynamic, personalized promotions in real-time. With ImagineAR's immersive AR applications, we can create a whole new world of engagement that does not exist today. Together, our innovative solution unlocks engagement strategies that consumers simply have not previously experienced. This is the convergence of AI, IoT, and AR that technology companies have been promising the retail industry for years."

THE COMBINED OFFERING AND MARKET OPPORTUNITY

ImagineAR allows its clients real-time engagement with their consumer using mobile augmented reality. Loop Insights enhances the AR solution with artificial intelligence to make the customer experience hyper-personalized promotions for the purpose of generating a higher average spend. Loop and ImagineAR will jointly introduce their platform to each other's global client networks to increase reach and accelerate scalability. Revenues will be driven through onboarding and annual licensing fees, both companies will also benefit from monthly Software as a Service (SaaS) and managed service fees.

ImagineAR CEO Paul Silverrstieen added: "Both of our companies are already focused on the sports, entertainment and retail industries. ImagineAR's platform solution captures fan and consumer attention with its immersive experiential AR activations. Now with Loop's integration, we can offer highly personalized, dynamic targeted promotions to increase loyalty and consumer spend, as well as marketing attribution to create detailed fan loyalty profiles, for our shared global clients."

Together, the companies plan on seizing huge market opportunities in AR and AI. According toAllied Market Research, in 2017, the global augmented and virtual reality market size was $11.35 billion and is now projected to reach $571.42 billion by 2025growing at a CAGR of 63.3%. The global artificial intelligence market size was estimated at $39.9 billion in 2019 and is expected to reach 62.3 billion by the end of this year (2020) alone. The companies are set on capturing meaningful market share by merging their respective groundbreaking technologies, which are already achieving 3rd party validation.

About ImagineAR Inc.ImagineAR is an augmented reality (AR) platform that enables businesses of any size to create and implement their own AR campaigns with no programming or technology experience. Every organization, from professional sports franchises to small retailers, can develop interactive AR campaigns that blend the real and digital worlds. Customers simply point their mobile device at logos, signs, buildings, products, landmarks, and more to instantly engage videos, information, advertisements, coupons, 3-D holograms, and any interactive content all hosted in the cloud and managed using a menu-driven portal.

About Loop Insights: Loop is a Vancouver-based technology company that provides transformative artificial intelligence services and IoT solutions to the brick and mortar retail industry to support its longevity in the face of a growing online consumer culture. At the core of its solution is the Fobi IoT technology, which has the unique ability to connect company-wide data with in-store transactional data in real time. This disruptive capability creates revenue-generating insights, which can be actioned through Loop's automated personalized marketing platform to increase foot traffic, wallet share, loyalty and spend.

Forward-Looking Statements/Information:

This news release contains certain statements which constitute forward-looking statements or information.Such forward-looking statements are subject to numerous risks and uncertainties, some of which are beyond Loop's control, including the impact of general economic conditions, industry conditions, and competition from other industry participants, stock market volatility and the ability to access sufficient capital from internal and external sources. Although Loop believes that the expectations in its forward-looking statements are reasonable, they are based on factors and assumptions concerning future events which may prove to be inaccurate. Those factors and assumptions are based upon currently available information. Such forward-looking statements are subject to known and unknown risks, uncertainties and other factors that could influence actual results or events and cause actual results or events to differ materially from those stated, anticipated or implied in the forward-looking statements. As such, readers are cautioned not to place undue reliance on the forward-looking statements, as no assurance can be provided as to future results, levels of activity or achievements. The forward-looking statements contained in this news release are made as of the date of this news release and, except as required by applicable law, Loop does not undertake any obligation to publicly update or to revise any of the included forward-looking statements, whether as a result of new information, future events or otherwise. The forward-looking statements contained in this document are expressly qualified by this cautionary statement. Trading in thesecurities of Loop should be considered highly speculative. There can be no assurance that Loop will be able to achieve all or any of its proposed objectives.

Neither the TSX Venture Exchange nor its Regulation Services Provider (as that term is defined in the policies of the TSX Venture Exchange) accepts responsibility for the adequacy or accuracy of this release.

SOURCE LOOP Insights Inc.

For further information: Loop Insights Inc., Rob Anson, CEO, T: +1 877-754-5336 Ext. 4, E: [emailprotected]; LOOP Website: http://www.loopinsights.ai, Facebook: @LoopInsights, Twitter: @LoopInsights, LinkedIn: @LoopInsights

https://www.loopinsights.ai/

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Loop Insights and ImagineAR Sign MOU To Integrate Artificial Intelligence and Augmented Reality, Creating Real-Time Actionable Data For Brands To...

This report is well documented to present crucial analytical review affecting the Global Artificial Intelligence Service market amidst COVID-19 outrage. In the light of the lingering COVID-19 pandemic, this mindfully drafted research offering is in complete sync with the current ongoing market developments as well as challenges that together render tangible influence upon the holistic growth trajectory of the Artificial Intelligence Service market. The aim of the report is to equip relevant players in deciphering essential cues about the various real-time market based developments, also drawing significant references from historical data, to eventually present a highly effective market forecast even amidst an unprecedented scenario such as the ongoing COVID-19 pandemic and its subsequent implications.

The report is a holistic, ready-to-use compilation of all major events and developments that replicate growth in the Artificial Intelligence Service market. The report is rightly designed to present multidimensional information about the current and past market occurrences that tend to have a direct implication on onward growth trajectory of the Artificial Intelligence Service market. The report also illustrates minute details in the Artificial Intelligence Service market governing micro and macroeconomic factors that seem to have a dominant and long-term impact, directing the course of popular trends in the global Artificial Intelligence Service market.

The following sections of this versatile report on Artificial Intelligence Service market specifically sheds light on popular industry trends encompassing both market drivers as well as dominant trends that systematically affect the growth trajectory visibly. Each of the market players profiled in the report have been analyzed on the basis of their company and product portfolios, to make logical deductions.

The study encompasses profiles of major companies operating in the Artificial Intelligence Service Market. Key players profiled in the report includes:International Business MachinesSAPGoogleAmazonSalesforceIntelBaiduFair Isaac Corporation(FICO)SAS Institute(US)

A thorough analytical review of the pertinent growth trends influencing the Artificial Intelligence Service market has been demonstrated in the report to affect unbiased and time-efficient business discretion amongst various leading players. The report also sheds substantial light on all major key producers dominant in the Artificial Intelligence Service market, encompassing versatile details on facets such as production and capacity deductions.

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By the product type, the market is primarily split into Software ToolsServices

By the end-users/application, this report covers the following segments BFSITelecommunications and ITRetail and E-CommerceGovernment and DefenseHealthcareManufacturingEnergy and UtilitiesConstruction and EngineeringOthers

These details are indicated in the report to allow market players undertake a systematic analytical review of the Artificial Intelligence Service market to arrive at logical conclusions governing the growth trajectory of the Artificial Intelligence Service market and their subsequent implications on the growth of the aforementioned market.

Global Artificial Intelligence Service Geographical Segmentation Includes: North America (U.S., Canada, Mexico) Europe (U.K., France, Germany, Spain, Italy, Central & Eastern Europe, CIS) Asia Pacific (China, Japan, South Korea, ASEAN, India, Rest of Asia Pacific) Latin America (Brazil, Rest of L.A.) Middle East and Africa (Turkey, GCC, Rest of Middle East)

Details on product portfolios, user application as well as ongoing technical developments concerning the product line have also been touched upon, to derive accurate understanding about the market prognosis and their subsequent implications upon the Artificial Intelligence Service market. The report specifically focuses on market drivers, challenges, threats, and the like that closely manifest market revenue cycle to encourage optimum profit generation in the Artificial Intelligence Service market.

Some Major TOC Points: Chapter 1. Report Overview Chapter 2. Global Growth Trends Chapter 3. Market Share by Key Players Chapter 4. Breakdown Data by Type and Application Chapter 5. Market by End Users/Application Chapter 6. COVID-19 Outbreak: Artificial Intelligence Service Industry Impact Chapter 7. Opportunity Analysis in Covid-19 Crisis Chapter 9. Market Driving ForceAnd Many More

Research Methodology Includes:

The report systematically upholds the current state of dynamic segmentation of the Artificial Intelligence Service market, highlighting major and revenue efficient market segments comprising application, type, technology, and the like that together coin lucrative business returns in the Artificial Intelligence Service market.

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Target Audience:* Artificial Intelligence Service Manufactures* Traders, Importers, and Exporters* Raw Material Suppliers and Distributors* Research and Consulting Firms* Government and Research Organizations* Associations and Industry Bodies

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Global Artificial Intelligence Service Market 2025 COVID-19 Spread Analysis With Top Key Players: International Business Machines, SAP, Google,...