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Global Artificial Intelligence in Healthcare Diagnosis Market Research Report 2022: Rising Adoption of Healthcare Artificial Intelligence in Research…

DUBLIN--(BUSINESS WIRE)--The "Artificial Intelligence in Healthcare Diagnosis Market Research Report by Technology, Component, Application, End User, Region - Global Forecast to 2026 - Cumulative Impact of COVID-19" report has been added to ResearchAndMarkets.com's offering.

The Global Artificial Intelligence in Healthcare Diagnosis Market size was estimated at USD 2,318.98 million in 2020, USD 2,725.72 million in 2021, and is projected to grow at a Compound Annual Growth Rate (CAGR) of 17.81% to reach USD 6,202.67 million by 2026.

Market Segmentation:

This research report categorizes the Artificial Intelligence in Healthcare Diagnosis to forecast the revenues and analyze the trends in each of the following sub-markets:

Competitive Strategic Window:

The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies to help the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. It describes the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth during a forecast period.

FPNV Positioning Matrix:

The FPNV Positioning Matrix evaluates and categorizes the vendors in the Artificial Intelligence in Healthcare Diagnosis Market based on Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.

Market Share Analysis:

The Market Share Analysis offers the analysis of vendors considering their contribution to the overall market. It provides the idea of its revenue generation into the overall market compared to other vendors in the space. It provides insights into how vendors are performing in terms of revenue generation and customer base compared to others. Knowing market share offers an idea of the size and competitiveness of the vendors for the base year. It reveals the market characteristics in terms of accumulation, fragmentation, dominance, and amalgamation traits.

Market Dynamics

Drivers

Restraints

Opportunities

Challenges

Key Topics Covered:

1. Preface

2. Research Methodology

3. Executive Summary

4. Market Overview

5. Market Insights

6. Artificial Intelligence in Healthcare Diagnosis Market, by Technology

7. Artificial Intelligence in Healthcare Diagnosis Market, by Component

8. Artificial Intelligence in Healthcare Diagnosis Market, by Application

9. Artificial Intelligence in Healthcare Diagnosis Market, by End User

10. Americas Artificial Intelligence in Healthcare Diagnosis Market

11. Asia-Pacific Artificial Intelligence in Healthcare Diagnosis Market

12. Europe, Middle East & Africa Artificial Intelligence in Healthcare Diagnosis Market

13. Competitive Landscape

14. Company Usability Profiles

15. Appendix

Companies Mentioned

For more information about this report visit https://www.researchandmarkets.com/r/vgkht7

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Business leaders commemorate anniversary of EqualAI and its new leadership role on the National Artificial Intelligence Advisory Committee – PR…

EqualAI's Miriam Vogel leads committee advising the President and National AI Initiative Office on a range of issues related to artificial intelligence

NEW YORK, Aug. 2, 2022 /PRNewswire/ -- LivePerson(Nasdaq: LPSN), a global leader in customer engagement solutions, joined business leaders in congratulating EqualAIon four years of progress fighting unconscious bias in AI.

EqualAI is an independent nonprofit organization and movement founded in 2018 to reduce unconscious bias in the development and use of artificial intelligence. It is supported by corporate members from the tech industry.

In addition to launching impactful initiatives including the EqualAI Pledgeand EqualAI Badge Program for Responsible AI Governance the organization's president, Miriam Vogel, was recently appointed as Chair of the National Artificial Intelligence Advisory Committee(NAIAC), which advises the US President and National AI Initiative Office on a range of issues related to artificial intelligence.

The NAIAC was established by the US Department of Commerce and consists of leaders with a broad and interdisciplinary range of AI-relevant expertise across academia, nonprofits, civil society, and the private sector.

LivePerson founder and CEO Rob LoCascio said, "In just four years, EqualAI has made an incredible impact on the trajectory of artificial intelligence, bending it toward more responsible and ethical outcomes for all. At LivePerson, we're proud to have played a key role investing in and spearheading these efforts as a founding member of EqualAI. As we celebrate Miriam Vogel's appointment to the NAIAC, we encourage organizations of all kinds to take the EqualAI Pledge and undertake the EqualAI Badge Program to make tangible steps toward responsible AI governance."

Arianna Huffington, founder and CEO of Thrive Global and a founding member of EqualAI, added, "From raising awareness to designing frameworks and initiatives that fight bias, EqualAI has pushed policymakers and business leaders to do more and do better when it comes to artificial intelligence. As AI continues to reshape our daily lives, it's more critical than ever that we come together to ensure it helps, not hurts, the well-being of all of our communities."

In addition to LoCascio and Huffington, EqualAI's leadership includes Karyn Temple, Senior EVP and Global General Counsel at Motion Picture Association; Monica Greenberg, EVP, Corporate Development, Strategic Alliances and General Counsel at LivePerson; Susan Gonzales, CEO of AIandYou; and Reggie Townsend, Director of Data Ethics at SAS. LivePerson, Verizon, and SAS support EqualAI through corporate membership.

To learn more about reducing bias in artificial intelligence, visit EqualAI's websiteand LivePerson's blog.

About LivePerson, Inc.

LivePerson (NASDAQ: LPSN) is a global leader in customer engagement solutions. We create AI-powered digital experiences that feel Curiously Human. Our customers including leading brands like HSBC, Orange, and GM Financial have conversations with millions of consumers as personally as they would with one. Our Conversational Cloud platform powers nearly a billion conversational interactions every month, providing a uniquely rich data set to build connections that reduce costs, increase revenue, and are anything but artificial. Fast Company named us the #1 Most Innovative AI Company in the world. To talk with us or our Conversational AI, please visit liveperson.com.

About EqualAI

EqualAIis a nonprofit organization that was created to reduce unconscious bias in the development and use of artificial intelligence (AI). AI is transforming our society enabling important and exciting developments that were unimaginable just a few years ago. With these immense benefits comes significant responsibility. Together with leaders and experts across industry, academia, technology, and government, EqualAI is developing standards and tools to increase awareness and reduce bias, as well as identifying regulatory and legislative solutions.

Contact:Mike Tague[emailprotected]

SOURCE LivePerson, Inc.

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Artificial Intelligence Regulation Updates: China, EU, and U.S – The National Law Review

Wednesday, August 3, 2022

Artificial Intelligence (AI) systems are poised to drastically alter the way businesses and governments operate on a global scale, with significant changes already under way. This technology has manifested itself in multiple forms including natural language processing, machine learning, and autonomous systems, but with the proper inputs can be leveraged to make predictions, recommendations, and even decisions.

Accordingly,enterprises are increasingly embracing this dynamic technology. A2022 global study by IBMfound that 77% of companies are either currently using AI or exploring AI for future use, creating value by increasing productivity through automation, improved decision-making, and enhanced customer experience. Further, according to a2021 PwC studythe COVID-19 pandemic increased the pace of AI adoption for 52% of companies as they sought to mitigate the crises impact on workforce planning, supply chain resilience, and demand projection.

For these many businesses investing significant resources into AI, it is critical to understand the current and proposed legal frameworks regulating this novel technology. Specifically for businesses operating globally, the task of ensuring that their AI technology complies with applicable regulations will be complicated by the differing standards that are emerging from China, the European Union (EU), and the U.S.

China has taken the lead in moving AI regulations past the proposal stage. In March 2022, China passed aregulationgoverning companies use of algorithms in online recommendation systems, requiring that such services are moral, ethical, accountable, transparent, and disseminate positive energy. The regulation mandates companies notify users when an AI algorithm is playing a role in determining which information to display to them and give users the option to opt out of being targeted. Additionally, the regulation prohibits algorithms that use personal data to offer different prices to consumers. We expect these themes to manifest themselves in AI regulations throughout the world as they develop.

Meanwhile in the EU, the European Commission has published an overarchingregulatory framework proposaltitled the Artificial Intelligence Act which would have a much broader scope than Chinas enacted regulation. The proposal focuses on the risks created by AI, with applications sorted into categories of minimal risk, limited risk, high risk, or unacceptable risk. Depending on an applications designated risk level, there will be corresponding government action or obligations. So far, the proposed obligations focus on enhancing the security, transparency, and accountability of AI applications through human oversight and ongoing monitoring. Specifically, companies will be required to register stand-alone high-risk AI systems, such as remote biometric identification systems, in an EU database. If the proposed regulation is passed, the earliest date for compliance would be the second half of 2024 with potential fines for noncompliance ranging from 2-6% of a companys annual revenue.

Additionally, the previously enacted EU General Data Protection Regulation (GDPR) already carries implications for AI technology.Article 22prohibits decisions based on solely automated processes that produce legal consequences or similar effects for individuals unless the program gains the users explicit consent or meets other requirements.

In the United States there has been a fragmented approach to AI regulation thus far, with states enacting their own patchwork AI laws. Many of the enacted regulations focus on establishing various commissions to determine how state agencies can utilize AI technology and to study AIs potential impacts on the workforce and consumers. Common pending state initiatives go a step further and would regulate AI systems accountability and transparency when they process and make decisions based on consumer data.

On a national level, the U.S. Congress enacted theNational AI Initiative Actin January 2021, creating theNational AI Initiativethat provides an overarching framework to strengthen and coordinate AI research, development, demonstration, and education activities across all U.S. Departments and Agencies . . . . The Act created new offices and task forces aimed at implementing a national AI strategy, implicating a multitude of U.S. administrative agencies including the Federal Trade Commission (FTC), Department of Defense, Department of Agriculture, Department of Education, and the Department of Health and Human Services.

Pending national legislation includes theAlgorithmic Accountability Act of 2022, which was introduced in both houses of Congress in February 2022. In response to reports that AI systems can lead to biased and discriminatory outcomes, the proposed Act would direct the FTC to create regulations that mandate covered entities, including businesses meeting certain criteria, to perform impact assessments when using automated decision-making processes. This would specifically include those derived from AI or machine learning.

While the FTC has not promulgated AI-specific regulations, this technology is on the agencys radar. In April 2021 the FTC issued amemowhich apprised companies that using AI that produces discriminatory outcomes equates to a violation of Section 5 of the FTC Act, which prohibits unfair or deceptive practices. And the FTC may soon take this warning a step fartherin June 2022 theagency indicatedthat it will submit an Advanced Notice of Preliminary Rulemaking to ensure that algorithmic decision-making does not result in harmful discrimination with the public comment period ending in August 2022. The FTC also recently issued areportto Congress discussing how AI may be used to combat online harms, ranging from scams, deep fakes, and opioid sales, but advised against over-reliance on these tools, citing the technologys susceptibility to producing inaccurate, biased, and discriminatory outcomes.

Companies should carefully discern whether other non-AI specific regulations could subject them to potential liability for their use of AI technology. For example, the U.S. Equal Employment Opportunity Commission (EEOC) put forthguidancein May 2022 warning companies that their use of algorithmic decision-making tools to assess job applicants and employees could violate the Americans with Disabilities Act by, in part, intentionally or unintentionally screening out individuals with disabilities. Further analysis of the EEOCs guidance can be foundhere.

Many other U.S. agencies and offices are beginning to delve into the fray of AI. In November 2021, the White House Office of Science and Technology Policysolicited engagementfrom stakeholders across industries in an effort to develop a Bill of Rights for an Automated Society. Such a Bill of Rights could cover topics like AIs role in the criminal justice system, equal opportunities, consumer rights, and the healthcare system. Additionally, the National Institute of Standards and Technology (NIST), which falls under the U.S. Department of Commerce, is engaging with stakeholders todevelopa voluntary risk management framework for trustworthy AI systems. The output of this project may be analogous to the EUs proposed regulatory framework, but in a voluntary format.

The overall theme of enacted and pending AI regulations globally is maintaining the accountability, transparency, and fairness of AI. For companies leveraging AI technology, ensuring that their systems remain compliant with the various regulations intended to achieve these goals could be difficult and costly. Two aspects of AIs decision-making process make oversight particularly demanding:

Opaquenesswhere users can control data inputs and view outputs, but are often unable to explain how and with which data points the system made a decision.

Frequent adaptationwhere processes evolve over time as the system learns.

Therefore, it is important for regulators to avoid overburdening businesses to ensure that stakeholders may still leverage AI technologies great benefits in a cost-effective manner. The U.S. has the opportunity to observe the outcomes of the current regulatory action from China and the EU to determine whether their approaches strike a favorable balance. However, the U.S. should potentially accelerate its promulgation of similar laws so that it can play a role in setting the global tone for AI regulatory standards.

Thank you to co-author Lara Coole, a summer associate in Foley & Lardners Jacksonville office, for her contributions to this post.

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Artificial Intelligence is the Future of the Banking Industry Are You Prepared for It? – International Banker

By Pritham Shetty, Consulting Director, Propel

Our world is moving at a fast pace. Though banks originally built their foundations to be run solely by humans, the time has come forartificial intelligence in the banking industry. In 2020, the global AI banking market was valued at $3.88 billion, andit is projected to reach $64.03 billion by the end of the decade,with a compound annual growth rate of 32.6%. However, when it comes to implementing even the best strategies, theapplication of artificial intelligence in the banking industryis susceptible to weak core tech and poor data backbones.

By my count, there were 20,000 new banking regulatory requirements created in 2015 alone. Chances are your business wont find a one-size-fits-all solution to dealing with this. The next-best option is to be nimble. You need to be able to break down the business process into small chunks. By doing so, you can come up with digital strategies that work with new and existing regulations.

AIcan take you a long way in this process, but you must know how to harness its power. Take originating home loans, for instance. This can be an important, sometimes tedious, process for the loan seeker and bank. With an AI solution, loan origination can happen quicker and be more beneficial to both parties.

As the world of banking moves toward AI, it is integral to note that the crucial working element for AI is data. The trick to using that data is to understand how to leverage it best for your business value. Data with no direction wont lead to progress, nor will it lead to the proper deployment of your AI. That is one of the top reasons it isso challenging to implement AI in banks there has to be a plan.

Even if you come up with a poor strategy, those mistakes can be course-corrected over time. It takes some time and effort, but it is doable. If you home in on how customer information can be used, you can utilize AI for banking services in a way that is scalable and actionable. Once you understand how to use the data you collect, you can develop technical solutions that work with each other, identify specific needs, and build data pipelines that will lead you down the road to AI.

How is artificial intelligence changing the banking sector?

Due to the increasingly digital world, customers have more access to their banking information than ever. Of course, this can lead to other problems. Because there is so much access to data, there are also prime opportunities for fraudulent activities, and this is one example ofhow AI is changing the banking sector. With AI, you can train systems to learn, understand, and recognize when these activities happen. In fact, there was a5% decrease in record exposure from 2020 to 2021.

AI also safeguards against data theft or abuse. Not only can AI recognize breaches from outside sources, but it can also recognize internal threats. Once an AI system is trained, it can identify these problems and even offer solutions to them. For instance, a customer support call center can have traffic directed by AI to assuage an influx of calls during high-volume fluctuations.

Another great example of this is the development ofconversational AI platforms. The ubiquity of social media and other online platforms can be used to tailor customer experiences directly led by AI. By using the data gathered from all sources, AI can greatly improve the customer experience overall.

For example, a loan might take anywhere from seven to 45 days to be granted. But with AI, the process can be expedited not only for the customer, but also the bank. By using AI in a situation such as this, your bank can assess the risk it is taking on by servicing loans. It can also make the process faster by performing underwriting, document scanning, and other manual processes previously associated with data collection. On top of all that, AI can gather and analyze data about your customers behaviors throughout their banking lives.

In the past, so much of this work was done solely by people. Although automation has certainly helped speed up and simplify tasks, it is used for tedium and doesnt have the complexity of AI. AI saves time and money by freeing up your employees to do other processes and provides valuable insights to your customers. And customers can budget better and have a clearer idea of where their money is going.

Even the most traditional banks will want to adopt AI to save time and money and allow employees more opportunities to have positive one-on-one relationships with customers. Look no further than fintech companies such as Credijusto, Nubank, and Monzo that have digitized traditional banking services through the power of cutting-edge tech.

Are you ready to put AI to work for your business?

Today, its not a question ofhow AI is impacting financial services. Now, its about how to implement it. That all starts with you. You must ask the right questions: What are your goals for implementing AI? Do you want to improve your internal processes? Simply provide a better customer service experience? If so, how should you implement AI for your banking services? Start with these strategies:

By making realistic short-term goals, you set yourself up for future success. These are the solutions that will be the building blocks for the type of AI everyone will aspire to use.

You want to ensure that you know how you currently use data and how you plan on using it in the future. Again, this sets your organization up for success in the long run. If you dont have the right practices now, you certainly wont going forward.

As you implement AI into your banking practices, you should know how exactlyyou generate data. Then, you must understand how you interpret it. What is the best use for it? After that, you can make decisions that will be scalable, useful, and seamless.

Technology has not only made the world around us move faster, but also better in so many ways. Traditional institutions such as banks might be slow to adopt, but weve already seenhow artificial intelligence is changing the banking sector. By taking the proper steps, you could be moving right along with it into the future.

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CSforALL Urges Greater Focus on AI and Data Science – Government Technology

(TNS) If you're not in the know, artificial intelligence and data science may sound like especially nerdy subsets of the already pocket-protector infused field of computer science.

But anyone who is serious about expanding computer science educationa list that includes Fortune 500 company CEOs and policymakers on both sides of the aisleshould be thinking carefully about emphasizing AI, in which machines are trained to perform tasks that simulate some of what the human brain can do, and data science, in which students learn to record, store, and analyze data.

That means making sure kids have access to well-designed resources to learn those subjects, bolstering professional development for those who teach them, exposing career counselors to information about how to help students pursue jobs in those fields, and much more.

Leigh Ann DeLyser, CSforALL's co-founder and executive director, spoke with Education Week about some big picture ideas around the push for a greater focus on AI and data science within computer science education. Here are some key takeaways from that conversation.

Teaching computer scienceincluding AI and data sciencecan help the next generation grapple with big societal problems.

"Our world is complex and messy and full of big problems," DeLyser said. AI and data science are fast- growing areas when it comes to employment, but "they're also the fastest-growing tools that are being used by business people, nonprofits, and governments every single day. No matter what you do in life, if you want to tackle the big problems we have in the world, you're going to need to understand these things and how they can be used, even if you're not the programmer who is writing the code that makes them go."

Students from all different backgrounds must get grounding in computer science.

It's especially important to increase socioeconomic, racial, and gender diversity in the field.

"Research shows that teams that have different backgrounds are better problem solvers, because they think about problems from different ways," DeLyser said. "When everybody comes with the same perspective, you tend to miss out on some of the ideas or the big challenges that pop up along the way. ... We [want to] give equal access, no matter what ZIP code [students] grow up in, to those high-paying careers and opportunities later in their life."

There are already good models of how to teach AI and data-science.

It's possible to see school districts already experimenting with how to do this well, if you know where to look, DeLyser said. "Often, we frame [computer science access] as a deficit narrative. There's nothing happening in education, or education is failing."

But that's not the case, she added. For instance, the large Gwinnett County school district outside Atlanta, is getting ready to open a high school that will focus on artificial intelligence. And in Bentonville, Ark., where Walmart is headquartered, local high school students interning with the company get a first-hand look at how the retail giant uses AI to configure store layouts, with an eye towards maximizing profit.

It's never too early to start teaching artificial intelligence.

Believe it or not, kids as young as kindergarten or even preschool can become familiar with the basics of AI, DeLyser said.

"AI is pattern recognition. One of the most important pre skills for algebra and math development for kids in kindergarten, and even preschool, is pattern recognition. 'This is a circle, this is a square,'" DeLyser said. Teaching AI is "having them take that learning that they're doing for the pattern recognition just one step further. It's like, OK, 'I'm going to teach you, you're going to teach a friend. Now I'm going to teach a computer.' It's not that far off from the work that they're already doing."

2022 Education Week (Bethesda, Md.). Distributed by Tribune Content Agency, LLC.

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Artificial Intelligence Chipsets Market Is Booming with Progressive Trends and Exciting Opportunities by 2028| IBM Corp. (U.S.), Microsoft Corp….

The rising headway in the innovation and adoption of AI is ad libbing the buyer administrations is the vital variable for driving the development of artificial intelligence chipsets in the market. The rising number of AI applications, helping the processing ability to drive the huge and complex dataset is adding to the Artificial Intelligence Chipsets Market development. The Global Artificial Intelligence Chipsets Market report gives a comprehensive assessment of the market. The report offers an exhaustive examination of key portions, patterns, drivers, limitations, cutthroat scene, and elements that are assuming a significant part in the market.

Artificial intelligence chipset is extraordinarily intended to drive AI errands all the more effectively by depending on the utilization of simple hardware for the low accuracy number-crunching which gives headway in power and space. Artificial brain organizations, AI, and machine vision can all profit from this chipset. Lately, expanded government mediation in the assurance of basic foundation and delicate information has brought about the use of AI (chipsets) in security applications. The extension of AI chipsets in the auto area region is being powered by government backing, especially in the United States. Artificial intelligence chipsets are used for various undertakings, including quantum registering, extortion discovery, risk to the executives, and applications that request continuous information. During the conjecture time frame, these capabilities are supposed to help the Artificial Intelligence Chipsets Market.

Get Sample Copy of this Report: https://www.infinitybusinessinsights.com/request_sample.php?id=877556

The worldwide Artificial Intelligence Chipsets market is expected to grow at a booming CAGR of 2022-2028, rising from USD billion in 2021 to USD billion in 2028. It also shows the importance of the Artificial Intelligence Chipsets market main players in the sector, including their business overviews, financial summaries, and SWOT assessments.

Artificial Intelligence Chipsets Market, By Segmentation:

Artificial Intelligence Chipsets Market segment by Type:

Deep LearningRobot TechnologyDigital Personal AssistantQuerying MethodNatural Language ProcessingContext Aware Processing

Artificial Intelligence Chipsets Market segment by Application:

RetailTransportationAutomationManufacturingOthers

The years examined in this study are the following to estimate the Artificial Intelligence Chipsets market size:

History Year: 2015-2019 Base Year: 2021 Estimated Year: 2022 Forecast Year: 2022 to 2028

Flooding COVID occasions, cautious travel limitations, a concise end in get-together, and breakdowns in the shop connection and standard medication supply have made a liberal part for market progression in 2020 and presently. Whether or not the Covid pandemic issue is settled, dynamic creative exertion in the space might assist with supporting the markets moving diagram somewhat later.

Coming up next are the essential named locales for the Artificial Intelligence Chipsets market: America, North (United States, Canada, and Mexico), Europe (European Union) (Germany, France, United Kingdom, Russia, Italy, and Rest of Europe), Asia-Pacific district (China, Japan, Korea, India, Southeast Asia, and Australia), Americas, South (Brazil, Argentina, Colombia, and Rest of South America), Africa, and the Middle East (Saudi Arabia, UAE, Egypt).

The Key companies profiled in the Artificial Intelligence Chipsets Market: IBM Corp. (U.S.), Microsoft Corp. (U.S.), Google Inc. (U.S.), FinGenius Ltd. (U.K.), NVIDIA Corporation (U.S.), Intel Corporation (U.S.), General Vision, Inc. (U.S.), Numenta, Inc. (U.S.), Sentient Technologies (U.S.), Inbenta Technologies, Inc. (U.S.),

Some of the key questions answered in this report:1. Analysis of Artificial Intelligence Chipsets market (Preceding, present, and future) to calculate the rate of growth and market size.2. Market risk, market opportunities, driving forces.3. New technologies and issues to investigate market dynamics.4. Market Forecast5. Closely evaluate current and rising market segments.

Then, the report describes the Artificial Intelligence Chipsets market division based on various parameters and attributes that are based on geographical distribution, product types, and applications. The market segmentation clarifies further regional distribution for the market, business trends, potential revenue sources, and upcoming market opportunities.

If you need anything more than these then let us know and we will prepare the report according to your requirement.

For More Details On this Artificial Intelligence Chipsets Market Report @:https://www.infinitybusinessinsights.com/request_sample.php?id=877556

Table of Contents: List of Data Sources:Chapter 2. Executive SummaryChapter 3. Industry Outlook3.1. Artificial Intelligence Chipsets Market Industry segmentation3.2. Artificial Intelligence Chipsets Market Industry size and growth prospects, 2015 20263.3. Artificial Intelligence Chipsets Market Industry Value Chain Analysis3.3.1. Vendor landscape3.4. Regulatory Framework3.5. Market Dynamics3.5.1. Market Driver Analysis3.5.2. Market Restraint Analysis3.6. Porters Analysis3.6.1. Threat of New Entrants3.6.2. Bargaining Power of Buyers3.6.3. Bargaining Power of Buyers3.6.4. Threat of Substitutes3.6.5. Internal Rivalry3.7. PESTEL AnalysisChapter 4. Artificial Intelligence Chipsets Market Industry Product OutlookChapter 5. Artificial Intelligence Chipsets Market Industry Application OutlookChapter 6. Artificial Intelligence Chipsets Market Industry Geography Outlook6.1. Artificial Intelligence Chipsets Industry Share, by Geography, 2022 & 20286.2. North America6.2.1. Market 2022 -2028 estimates and forecast, by product6.2.2. Market 2022 -2028, estimates and forecast, by application6.2.3. The U.S.6.2.3.1. Market 2022 -2028 estimates and forecast, by product6.2.3.2. Market 2022 -2028, estimates and forecast, by application6.2.4. Canada6.2.4.1. Market 2022 -2028 estimates and forecast, by product6.2.4.2. Market 2022 -2028, estimates and forecast, by application6.3. Europe6.3.1. Market 2022 -2028 estimates and forecast, by product6.3.2. Market 2022 -2028, estimates and forecast, by application6.3.3. Germany6.3.3.1. Market 2022 -2028 estimates and forecast, by product6.3.3.2. Market 2022 -2028, estimates and forecast, by application6.3.4. the UK6.3.4.1. Market 2022 -2028 estimates and forecast, by product6.3.4.2. Market 2022 -2028, estimates and forecast, by application6.3.5. France6.3.5.1. Market 2022 -2028 estimates and forecast, by product6.3.5.2. Market 2022 -2028, estimates and forecast, by applicationChapter 7. Competitive LandscapeChapter 8. Appendix

About Us:Infinity Business Insights is a market research company that offers market and business research intelligence all around the world. We are specialized in offering the services in various industry verticals to recognize their highest-value chance, address their most analytical challenges, and alter their work.We attain particular and niche demand of the industry while stabilize the quantum of standard with specified time and trace crucial movement at both the domestic and universal levels. The particular products and services provided by Infinity Business Insights cover vital technological, scientific and economic developments in industrial, pharmaceutical and high technology companies.

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Artificial intelligence making diagnosis more real? – The New Indian Express

Express News Service

HYDERABAD: As more and more wearable technologies such as fitbits, smart watches and wearable monitors are becoming increasingly popular, doctors seem to be the happiest. IoT (Internet of Things) devices are providing healthcare professionals and patients with new and accurate ways to monitor their vitals.

Dr Namrata Rupani, founder and CEO, Capture Life Dental Care, Banjara Hills, welcomes the change and says, One of the best IoT healthcare applications is remote patient monitoring, which can automatically collect health measurements from patients who arent in a healthcare institution, thus removing the need for patients to travel or collect it themselves. An IoT gadget today helps send patient data to a software application that can be accessed by both the doctors and patients.

For instance, IoT sensors on patients could warn doctors if their heart rate is low.That being said, these come with benefits as well as problems.Dr Sudheer Reddy Udumula, founder of Wishealth Lifestyle Homeo Clinics, Ameerpet, says that artificial intelligence and IoT is helping make precise diagnosis a possibility. Statistical and empirical data is helping in better treatment as well as prescription, allowing doctors across the globe to map and tap on these findings, even generations later. Robotic scanning and surgeries have brought in the beauty of technical accuracy and clarity. However, he adds, that doctors have to learn to adapt and be updated about the technology.

The recent cases about people finding low levels of oxygen or other data related to lifestyle diseases on their smartwatches, and proactively rushing to the doctor has reinstated our faith in such devices. They are helping lay people track their bodies without much interference and trips to the doctor, which is welcome, he adds.

Krishna Veer Singh, co-founder of Lissun, a mental wellness app, says, The issue of mental health is more significant than most of us imagine. During the pandemic, the mental health issue highlighted the significance of how digital healthcare is a big step toward filling the mental health gap. Technology is making therapy and other psychological tools available at your convenience anytime and anywhere. With technology, mental health apps are like your own personal pocket assistant, they help fill the mental health gap, making mental health solutions more accessible to all. With a team of experts and in-depth, informative content, apps like ours are a mini healthcare centre online.

He adds that psychological tools such as journalling, flash cards for concepts and tracking, meditations, creative visualisations, breathing techniques, psychological assessments, etc., are all available on such apps, making remote consultations more effective.

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UNAM. Artificial Intelligence And High Technology Laboratory Inaugurated In – Nation World News

UNAM. Artificial Intelligence and High Technology Laboratory inaugurated in Data Science and Artificial Intelligence will generate $5.5 billion in 2030, said Enrique Gray Wichers

It is imperative to obtain a patent in innovation, technology development and digital capability, said Marcelo Ebrard Casabon

Open cooperation leads to shared success, said Cao Jibin

A Letter of Intent was also signed between the National University, SRE and Huawei to promote the development of digital capabilities in Mexico.

In addition, they signed a letter of intent for the Coalition to Promote the Development of Digital Capabilities in Mexico, which aims to support and encourage technological innovation projects with an emphasis on artificial intelligence and that contribute to the solution of social problems. We do.

At the ceremony, the rector thanked the generosity of the Huawei company and the good offices of the Mexican Foreign Ministry for the laboratory. He also underlined UNAMs commitment to being decisively involved in the creation of innovative projects, for which it has established substantial infrastructure in recent years and created a bachelors degree in data science, and courses focused on artificial intelligence. Is.

Its a commitment that we have to embrace with all our might. He highlighted that data production has grown vertically in recent years and it is estimated that the economic impact of these and artificial intelligence on the global economy will be around $5.5 trillion in 2030. Meanwhile, the use of computers will help reduce greenhouse gas emissions by up to four percent.

In his speech, Foreign Minister Marcelo Ebrard said that the letter of intent will allow us to have more researchers, researchers who can develop circuits, algorithms, complex calculation systems that allow us to accelerate the pace. [] If we digitize our society we can have a financial coverage of 100 or 98 per cent, which will greatly increase the growth potential of the economy.

The future of Mexico is nowhere else: either we develop patents in innovation, technological development and digital capability, or we are not going to spend more than 10 thousand dollars per person in our income; This is a clear imperative of Mexico, he insisted.

Meanwhile, Cao Jibin expressed his strong belief that open cooperation leads to shared success, for which he was grateful to be part of the alliance. Together with UNAM, the Ministry of Foreign Affairs, the German Cooperation Agency for Sustainable Development and all members, we will bring benefits to Mexico and the Mexican people.

They recognized UNAMs academic leadership, a benchmark in computing and systems research, as well as its technical capabilities for managing the Artificial Intelligence and High Technology Laboratory with equipment donated by Huawei. He said the involvement of the federal government is essential to create a productive environment that leaves no one behind.

Continuing his message, Gray Vechers also recalled that 64 years ago the National University was a pioneer in Latin America by operating the first computer. Today it has 92,000 computers with Internet connections, a dozen educational and research programs in computing and artificial intelligence.

human capital

At the event held at UNAMs Institute for Research in Applied Mathematics and Systems (IIMAS), and where the first results Artificial Intelligence Forum was held, the National Universitys Secretary of Institutional Development, Patricia Dvila Aranda, celebrated the initiative with constant technological changes. The alliance and its efforts to create greater capacity in the human capital of the countrys universities to meet the digital, economic and social challenges.

By being part of this alliance, UNAM has managed to articulate the partnership of IIMAS, the Institute for Social Research, DGTIC and the Coordination of Linkage and Technology Transfer, to reiterate its commitment to training professionals in the use of innovative technologies. as well as in the application of artificial intelligence and sustainable development for the benefit of the most vulnerable groups in our country, he emphasized.

Meanwhile, Ramses Humberto Mena Chavez, Director of IIMAS, stressed that the initiative fosters the partnership of government, academia and the private sector especially technology experts to educate and build a connected and intelligent world with To monitor simultaneously. Development and proper utilization of digital capabilities.

He also remarked that as part of this strategy in 2021, the first call was issued to submit artificial intelligence research projects within the UNAM-Huawei Innovation Space, the results of which already exist.

Dora Luz Flores Gutierrez, professor and researcher in the Faculty of Engineering, Architecture and Design of the Autonomous University of Baja California, who spoke on behalf of members of the 10 projects supported by the coalition in 2021 that had access to resources from high-performance computing , said that collaboration between academia, the productive sector and the government can yield effective, efficient results for the benefit of all.

Proof of this, he indicated, are projects focused on estimating the ripeness of strawberries or dates through mobile robots and trait identification; for the development of a prototype of a system Web Medical support for the classification of mammographic studies, as well as the development of an adjunctive tool for the identification of drug-resistance of pulmonary tuberculosis, among others.

Also present at the ceremony were from UNAM: the Secretary-General, Leonardo Lomeli Venegas; coordinator of scientific research, William Lee Allardine; and Hector Bentez Prez, general director of computing and information and communication technology (DGTIC), among others.

#UNAMosAccionesContralaCovid19https://covid19comition.unam.mx/

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How Jordan Peterson Ruined His Image With Muslims

On a hot, humid July night in 2018, I flew into Beirut airport, grateful for the driver meeting me and his air-conditioned car. A young, pious Shiite from the Lebanese south, he wouldnt shake my hand, but he was friendly, if earnest. As we drove down the airport road, we talked about his life in Lebanon, including his recent move to Beirut from his familys village and his hopes for the future now hed moved to the big city. But his next question surprised me.

Have you heard of a Canadian psychologist called Jordan Peterson?

I had indeed, mostly from the publicity or notoriety of his then-recent self-help manual, The 12 Rules for Life. The New York Times had just run a long profile based on extensive time spent with Peterson in his home and at work, titled Jordan Peterson: Custodian of the Patriarchy. But it wasnt his positions on traditional gender roles that were causing me cognitive dissonance; I could see how that slotted right into conservative worldviews in many religions and countries. It was his championing of European culture with echoes of white supremacy that made my new friends enthusiasm hard to understand. Peterson hadnt yet been pictured with someone wearing a T-shirt proclaiming Im a proud ISLAMAPHOBE! (sic), but the accusations were in the air.

The following morning I went to Antoines, just one of the tens of bookshops in Hamra, the area where I was staying. Its a long shot, I began, but do you have a book by Jordan Peterson called There was no need for me to finish the sentence, as the bookseller jumped in: 12 Rules for Life? No, were always sold out, but we can order it for you, he said, and turning to his computer continued, It will take two to three days. Yet again, Im wrong-footed. A name that to me was connected to racist and misogynistic movements was always sold out, in Lebanon? How many do you sell? I asked. The bookseller checked his computer records. Id say on average about 80 a month, he replied, adding that there were currently two on order. This is one bookshop in a very bookshop-rich city. A few days later in Amman, a city less known for its bookshops, I found a copy in Virgin Megastore. Jordan Peterson was trending in the Middle East.

For me, Peterson represented the soft end of the toxic masculinity in the West that has led to a number of (sometimes deadly) manifestations, playing a role in spreading a culture of anti-feminism and anti-civil rights. But for this young Lebanese Shiite, Peterson gave him an explanation of his situation in life and, crucially, a way out of his frustrations based on science (evolutionary psychology, complete with pseudoscientific claims I wrote about in a previous New Lines article), combined with old-fashioned self-help language (stand up straight, tidy your room, take responsibility for your successes and failures).

Fast forward a few years: When I try to interview these same fans, I find them reticent. In the interim period, Jordan Peterson had become a polarizing figure, a key element of the culture wars dividing so many countries. Many declined to speak to me, worried that I would portray them as part of the problem in the world, knowing my views on Peterson and feminism, civil rights, trans rights and so on already. I resorted to contacting friends who in the past have sent me videos, promising them anonymity.

He has helped a lot of people, an Emirati friend in her 50s said to me. And the evidence for this is everywhere: people lining up to hear him speak, approaching him to get their copies of his book signed, discussing him with adulation in chatrooms, circulating his videos via WhatsApp. (I have received his videos from friends in India, Jordan and Lebanon, as well as the friend in the UAE.) A cursory look at the comments under his videos shows just how grateful people are.

This incredible man has flicked on a light to help me find meaning in my existance [sic]; History will remember this man as an absolute beacon of light in an otherwise dark time; The lightbulb moment for me was listening to him on Rogan talking about responsibility, and how useless self pity was. I ran out and bought 12 Rules the same day. It changed my life. There are literally millions of such comments, expressing gratitude for the empowerment he has granted to individuals around the world.

But not in response to his recent Message to Muslims. The actual message has some of the usual self-help content, telling his listeners that they have the enemy located in the wrong place and that the best place to find Satan is within themselves. His advice? Your best bet on the spiritual warfare front is to make of yourself and your Muslim practice something so admirable that the light shining from your well-constituted psyches and productive, generous and wise actions is so intense that people convert to your faith from sheer admiration. Theres a goal! This is all familiar Peterson territory. He then goes on to the message itself, which is about peace-building, exhorting Muslims to cross sectarian and religious divides. Shiites, find a Sunni pen pal. Communicate with someone on the other side. Sunnis, do the same. And then, maybe, reach out, tentatively, to a Christian, or even, heaven forbid, a Jew! (The last four words immediately were turned into a GIF, spread far and wide.)

At the time of writing, there are some 39,000 comments and over 2 million views, and while not universally negative, the difference with his other videos is striking. If I had to choose three words to describe what I just saw, I would choose condescending, frustrating, and, more importantly, disappointing, one previous fan wrote.

Others wrote: Although the content of the lecture is mostly agreeable, it somehow strikes me, as a Muslim, as insulting and I look up to Dr Peterson as the best thinker of our century, however, I feel disappointed now.

And on and on. Muslim fans are offended and appalled by the tone of the lecture, which perhaps unintentionally paints all Muslims as antisemitic and sectarian.

There are also political issues with the video. In delivering this message to his Muslim fans, Peterson unwittingly stumbled on a controversial topic: the normalization deals between Israel and authoritarian Arab regimes brokered by then-U.S. President Donald Trump. He has high praise for the extraordinary Abraham Accords, which have laid out the possibility for peace between all the people of the book in an unprecedented manner. The Abraham Accords are not popular to say the least on the streets of many Muslim-majority countries, and in choosing to build his message on this achievement, without knowing what it means to the typical Muslim, Peterson snatches defeat from the jaws of victory.

Inspired by his popularity among Muslims, the message he recorded has actually reduced his Muslim following.

This is at the heart of the response from The Muslim Skeptic, a YouTube channel run by hardliner Daniel Haqiqatjou, who believes that Islamic values align with those of the far right a natural fit for Jordan Peterson. Indeed, Petersons appeal for People of the Book to unite is based on a similar belief, that all the Abrahamic faiths are facing common threats and enemies: So, how about we all quit squabbling over trinkets and details, and face the real problem? he asks, the real problem being vengeful, Luciferian ideas, that currently confront all that is transcendent, traditional and valuable. That is: the woke, politically correct, degenerate neo-Marxist ideas. This should have all been grist to Haqiqatjous mill, given he shares Petersons view of this common (liberal) enemy, but instead, he reacted furiously, in a video that has had more than 200,000 views.

It starts with: I want to apologize, because in the past I said that Muslims can benefit from Petersons critiques of feminism and transgender ideology. But I take it all back. Dont take anything from this guy. Hes pure poison. And the reasons? Because as soon as Peterson finds out he has some Muslim following, whats the first thing he does? He puts out a message to Muslims thats pushing the Abrahamic Accords.

I watched Petersons message myself. The patronizing tone described by many in the comments and responses is hard to miss. He also shows ignorance of Islam and the politics of the region. I started sending the link to people who had recommended Peterson to me in the past. But, yet again, I was surprised by people I know. The Emirati woman wondered who would respond to his call: Lets see the conscious and the courageous ones stepping forward. A British Muslim friend found it powerful but wondered just how much impact it would have. Neither took it badly.

For many, Peterson is not only the stern father figure encouraging them to take responsibility and do their best but also a thinker who, previously critical of Islam, has since engaged with a wide variety of Muslim thinkers. What We Can All Learn from the Quran and Islam is a 1.5-hour discussion with neo-traditionalist convert Hamza Yusuf (released in May 2022 and currently with 1.8 million views). Islam and the Possibility of Peace, also 1.5 hours, features Mohammad Hijab, who is in trouble for a range of fundamentalist views (released in December 2021 and with 3.1 million views). Islam, Christ, and Liberty, just short of 1.5 hours, features the liberal author Mustafa Akyol (released in October 2021, with more than 600,000 views). Petersons YouTube channel shows extensive engagement with Muslim ideas, often stressing the similarities with the other Abrahamic faiths and questioning the values of modernity. Questions over his attitudes to Western civilization and the need to reinvigorate traditional liberalism are circumvented; the values at the heart of his call are shared, while the implications Western cultural supremacy are ignored.

Ignored, too, are Petersons personal issues. First experiencing depression as a teenager, Peterson became markedly worse in 2018, ending up on a cocktail of drugs before flying to Russia against doctors advice to be put into a medically induced coma. After trying other rehab centers, Peterson eventually turned to the diet that his daughter Mikhaila had been championing, consisting of only red meat (in practice, almost exclusively beef), salt and water. He is off antidepressants entirely, and many other problems have also apparently disappeared, from digestive issues to psoriasis, bad breath and snoring he even claims that the diet rid him of the floaters in his eyes. This solution is not, however, to be found in 12 Rules for Life or in the sequel, 12 More Rules for Life, and he has not explained why his many rules and theories for others did not help him at the lowest points of his life only extreme rehab regimes and diets made his life bearable.

Perhaps the difficulties of the past few years explain why he is turning against the medical establishment, saying in a conversation with Bret Weinstein in March 2021: I suspect that if you did the statistics properly, that medicine, independent of public health, kills more people than it saves. This statement suggests he has moved far from his origins, when he argued for rationality and a return to the liberal values of the European Enlightenment. (Modern medicine has, with antibiotics alone, saved many more people than it has killed.)

None of this seemed to matter to his fans. He has his own addictions, his own demons, but this just proves he is human, like us, one supporter said to me. Why do we need to put people we admire on a pedestal, expect them to be superhuman? His books continue to sell; his many videos rack up huge numbers of views, often over the million mark. He has given to many a sense of agency over their own lives, along with justifications for their traditional values (often shading into bigotry, as seen in an off-hand comment by the YouTube Muslim Skeptic quoted above that approved Petersons anti feminist and anti trans ideology).

And as he came to notice, many of his loyal followers were in the Muslim world. Gaining these fans without really trying, he came to embrace Muslim thinkers and activists on his podcast. Buoyed by his clear adulation from Muslims around the world and the success of many of these recordings, he addressed his Muslim fans directly. With his patronizing tone, ignorance of Islam, and disregard for political realities and sensitivities, he has eroded the fanbase he never set out to capture but nevertheless appreciated. Attracted to him for his values, which have much in common with conservative thought, Muslims are now abandoning him, not because they see through his self-help fixes but because he waded into a region he does not understand. Muslims have a message for Peterson, but whether he will listen is doubtful.

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David Fuller: What happened to Jordan Peterson? – UnHerd

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by UnHerd Staff

Followers of the clinical psychologist and now world-famous member of the Intellectual Dark Web, Jordan Peterson, have noted a radical change in his style in recent weeks.

Peterson used to produce largely unedited, long-form videos of his academic lectures, but his recent uploads have been highly edited, straight-to-camera monologues addressing the culture wars.

On 1st July, after being suspended from Twitter for hateful conduct, Peterson retaliated with an angry broadside against the woke moralists who had reported him. He then began to post sweeping polemics aimed at different groups: A message to Muslims, A message to the Christian churches and A message to CEOs to name a few.

According to David Fuller, founder of Rebel Wisdom, these videos signalled a watershed moment for Peterson, from truth-seeker and mediator between Left and Right to a blinkered tribalist. Unlike the meditative, analytical man he interviewed for Rebel Wisdom, Fuller says that the current incarnation of Peterson is unrecognisable to him.

Fullers critique of Peterson, which he outlined in a long post on Substack, marks a significant split. Peterson was a celebrated guest in the earliest days of Rebel Wisdom and Fuller was frozen out by his employers at Channel 4 for making a documentary about his work. But now, Fuller says that he is increasingly uneasy about the direction that Peterson and other members of the Intellectual Dark Web are going.

UnHerds Freddie Sayers sat down in the studio with the documentary-maker to dig a little deeper into his reservations about Jordan Peterson and alternative medias part in this story.

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David Fuller: What happened to Jordan Peterson? - UnHerd

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