Artificial intelligence – ICT Nieuws http://ictnieuws.net/ Wed, 11 May 2022 02:40:18 +0000 en-US hourly 1 https://wordpress.org/?v=5.9.3 https://ictnieuws.net/wp-content/uploads/2021/10/icon-37-120x120.png Artificial intelligence – ICT Nieuws http://ictnieuws.net/ 32 32 Artificial Intelligence in Law Market Size and Forecast https://ictnieuws.net/artificial-intelligence-in-law-market-size-and-forecast/ Wed, 11 May 2022 02:40:18 +0000 https://ictnieuws.net/artificial-intelligence-in-law-market-size-and-forecast/ New Jersey, United States – Comprehensive analyzes of the fastest growing companies Artificial intelligence in the legal market provide information that helps stakeholders identify opportunities and challenges. The 2022 markets could be another big year for artificial intelligence in law. This report provides an overview of the company’s activities and financial situation (a company profile […]]]>

New Jersey, United States – Comprehensive analyzes of the fastest growing companies Artificial intelligence in the legal market provide information that helps stakeholders identify opportunities and challenges. The 2022 markets could be another big year for artificial intelligence in law. This report provides an overview of the company’s activities and financial situation (a company profile is required if you want to raise capital or attract investors), recent developments (mergers and acquisitions) and recent SWOT analyses. This report focuses on the Artificial Intelligence in Law market over the assessment period 2029. The report also provides growth analysis of the Artificial Intelligence in Law market which includes analysis at Porter’s five factors and supply chain analysis.

It describes the behavior of the industry. It also outlines a future direction that will help companies and other stakeholders make informed decisions that will ensure strong returns for years to come. The report provides a practical overview of the global market and its changing environment to help readers make informed decisions about market projects. This report focuses on growth opportunities that allow the market to expand its operations in existing markets.

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The report helps both major players and new entrants to analyze the market in depth. This helps key players determine their business strategy and set goals. The report provides key market insights including niche growth opportunities along with Artificial Intelligence in Law market size, growth rate and forecast in key regions and countries.

The Artificial Intelligence in Law report contains data based on rigorous studies of primary and secondary schools using best research practices. The report contains exhaustive information which will enable you to evaluate each segment of the Artificial intelligence in law market. This report has been prepared considering various aspects of market research and analysis. It includes market size estimates, market dynamics, and company and market best practices. Entry marketing strategy, positioning, segmentation, competitive landscape and economic forecasts. Industry-specific technology solutions, roadmap analysis, alignment to key buying criteria, in-depth vendor product benchmarking

Key Players Mentioned in the Artificial Intelligence in Law Market Research Report:

AIBrain, Amazon, Anki, CloudMinds, Deepmind, Google, Facebook, IBM, Iris AI, Apple, Microsoft, Intel

Artificial Intelligence in Law Market Segmentation:

By Product Type, the market is primarily split into:

Blockchain
• The cloud
• Others

By application, this report covers the following segments:

• Voice recognition software
• Document capture and automated workflows
• Redaction and encryption
• Others

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Scope of the Artificial Intelligence in Law Market Report

ATTRIBUTES DETAILS
ESTIMATED YEAR 2022
YEAR OF REFERENCE 2021
FORECAST YEAR 2029
HISTORICAL YEAR 2020
UNITY Value (million USD/billion)
SECTORS COVERED Types, applications, end users, and more.
REPORT COVER Revenue Forecast, Business Ranking, Competitive Landscape, Growth Factors and Trends
BY REGION North America, Europe, Asia-Pacific, Latin America, Middle East and Africa
CUSTOMIZATION SCOPE Free report customization (equivalent to up to 4 analyst business days) with purchase. Added or changed country, region and segment scope.

Geographic segment covered in the report:

The Artificial Intelligence in Law report provides information on the market domain, which is further sub-divided into sub-regions and countries/regions. In addition to the market share in each country and sub-region, this chapter of this report also contains information on profit opportunities. This chapter of the report mentions the market share and growth rate of each region, country and sub-region over the estimated period.

• North America (USA and Canada)
• Europe (UK, Germany, France and rest of Europe)
• Asia-Pacific (China, Japan, India and the rest of the Asia-Pacific region)
• Latin America (Brazil, Mexico and rest of Latin America)
• Middle East and Africa (GCC and Rest of Middle East and Africa)

Key questions answered in this Artificial Intelligence in Law market report

  1. How much revenue will the Artificial Intelligence in Law market generate by the end of the forecast period?
  2. Which market segment is expected to have the maximum market share?
  3. What are the influencing factors and their impact on the Artificial Intelligence in Law market?
  4. Which regions are currently contributing the maximum share of the global Artificial Intelligence in Law market?
  5. Which indicators are likely to drive the Artificial Intelligence in Law market?
  6. What are the main strategies of the main players of the Artificial Intelligence in Law market to expand their geographical presence?
  7. What are the key advancements in the Artificial Intelligence in Law market?
  8. How are Regulatory Standards Affecting the Artificial Intelligence in Law Market?

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Artificial Intelligence in Law Market Demand and Future Scope with Russia-Ukraine Crisis Impact Analysis – AIBrain, Amazon, Anki, CloudMinds, Deepmind, Goo – ManufactureLink https://ictnieuws.net/artificial-intelligence-in-law-market-demand-and-future-scope-with-russia-ukraine-crisis-impact-analysis-aibrain-amazon-anki-cloudminds-deepmind-goo-manufacturelink/ Sun, 08 May 2022 16:33:03 +0000 https://ictnieuws.net/artificial-intelligence-in-law-market-demand-and-future-scope-with-russia-ukraine-crisis-impact-analysis-aibrain-amazon-anki-cloudminds-deepmind-goo-manufacturelink/ the artificial intelligence in law The report is an in-depth examination of the overall consumption structure, development trends, sales techniques, and sales of the leading Artificial Intelligence nations in the global law. The research covers well-known vendors in the global Artificial Intelligence in Law industry along with market segmentation, competition, and macroeconomic climate. A comprehensive […]]]>

the artificial intelligence in law The report is an in-depth examination of the overall consumption structure, development trends, sales techniques, and sales of the leading Artificial Intelligence nations in the global law. The research covers well-known vendors in the global Artificial Intelligence in Law industry along with market segmentation, competition, and macroeconomic climate. A comprehensive analysis of artificial intelligence in law takes into account a number of aspects, including a country’s population and economic cycles, as well as market-specific microeconomic consequences. The global market study also includes a specific section on the competition landscape to help you better understand the Artificial Intelligence in Law industry. This information can help stakeholders make informed decisions before investing.

Main actors of Artificial Intelligence in Law including:

AIBrain, Amazon, Anki, CloudMinds, Deepmind, Google, Facebook, IBM, Iris AI, Apple, Microsoft, Intel

Sample Free Report + All Related Charts & Graphs @ https://www.maccuracyreports.com/report-sample/346221

The report is categorized into several sections which consider competitive environment, latest market events, technological developments, countries and regional details related to Artificial Intelligence in Law. The section that details the pandemic impact, recovery strategies and post-pandemic market performance of each player is also included in the report. Key opportunities that could support artificial intelligence in law are identified in the report. The report focuses specifically on near-term opportunities and strategies to realize one’s full potential. Crucial uncertainties for market players to understand are included in the Artificial Intelligence in Law report.

Due to these issues, the AI ​​industry in law has been hampered. Due to the small number of significant companies in the sector, the field of artificial intelligence in law is heavily targeted. Clients would benefit from this research as they would be informed about the current scenario of artificial intelligence in law. The latest innovations, product news, product variants, and in-depth updates from industry specialists who have effectively leveraged artificial intelligence in the law position are all included in this research study. . Many businesses would benefit from a research study on Artificial Intelligence in Law to identify and grow their global demand. Micro and macro trends, significant developments, and their usage and penetration among a wide variety of end users are also included in the Artificial Intelligence in Law segment.

Market analysis done with statistical tools also helps to analyze many aspects including demand, supply, storage costs, maintenance, profit, sales and production details of the market. In addition, the global Artificial Intelligence in Law research report provides details about Artificial Intelligence in Law share, import volume, export volume and gross margin of companies.

Artificial Intelligence in Law Segmentation by Type:

Blockchain, Cloud, Others.

Artificial Intelligence in Law Segmentation by Application:

Speech Recognition Software, Document Capture and Automated Workflows, Redaction and Encryption, Others

The Artificial Intelligence in Law report answers a few key questions:

  • What is the expected growth of global artificial intelligence in law after the discovery of a vaccine or treatment for covid-19?
    • What are the new business practices that can be implemented post-pandemic to remain competitive, agile, customer-centric and collaborative in the world of artificial intelligence in law?
    • Which specific sectors are expected to drive the growth of the global Artificial Intelligence in Law market?
    • What are the key government policies and interventions implemented by the world’s leading AI in law countries to drive the adoption or growth of AI in law.
    • How have market players or leading global AI law firms responded to the challenges faced during the pandemic?
    • What growth opportunities does Artificial Intelligence in global law offer?

Report Highlights:

  • The report provides industry demand trends for artificial intelligence in law in the first and second quarters of 2021.
    • Individual circumstances of segments of artificial intelligence in law are discussed in the report.
    • The report contains forward-looking information about risks and uncertainties.
    • The report investigates the consumer-driven sectors of artificial intelligence in law.
    • Business scenarios of products and services in particular segments are detailed in the report along with regulation, taxes and tariffs.
    • Trends that impact artificial intelligence in law in recent years are discussed in the report.
    • The report studies the potential impact of the Covid-19 pandemic on the economy of the Artificial Intelligence in Law sector and the performance of market players in the same context.

Please click here today to purchase the full report @ https://www.maccuracyreports.com/checkout/346221

Contents:

1 Scope of the report
1.1 Market Overview
1.2 Research objectives
1.3 Years considered
1.4 Market research methodology
1.5 Economic indicators
1.6 Currency considered
2 Executive summary
3 Global Artificial Intelligence in Law by Players
4 Artificial Intelligence in Law by Regions
4.1 Artificial Intelligence in Law Size by Regions
4.2 Americas Artificial Intelligence in Law Size Growth
4.3 APAC Artificial Intelligence in Law Size Growth
4.4 Europe Artificial Intelligence Size Growth
4.5 Middle East & Africa Artificial Intelligence Size Growth
5 Americas
6 APACs
7Europe
8 Middle East and Africa
9 Market Drivers, Challenges and Trends
9.1 Market Drivers and Impact
9.1.1 Growing Demand from Key Regions
9.1.2 Growing Demand from Key Applications and Potential Industries
9.2 Market Challenges and Impact
9.3 Market trends
10 Global Predictions About Artificial Intelligence In Law
Analysis of the 11 key players
12 Research findings and conclusion

MR Accuracy Reports is the world’s largest publisher and has published over 2 million reports worldwide. Fortune 500 companies work with us. Also help small players to know the market and focus on advice.

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Artificial intelligence ‘leaked’ private keys to crypto wallets https://ictnieuws.net/artificial-intelligence-leaked-private-keys-to-crypto-wallets/ Wed, 04 May 2022 10:55:07 +0000 https://ictnieuws.net/artificial-intelligence-leaked-private-keys-to-crypto-wallets/ Reading time:1 minute, 36 seconds OpenAI’s Copilot AI coding assistant can offer private keys to real crypto wallets. The Registry writes about it. According to one of the developers, Copilot suddenly came up with something similar to a cryptocurrency wallet’s private key. It turned out to be linked to a real account. “I was shocked. […]]]>

Reading time:1 minute, 36 seconds

OpenAI’s Copilot AI coding assistant can offer private keys to real crypto wallets. The Registry writes about it.

According to one of the developers, Copilot suddenly came up with something similar to a cryptocurrency wallet’s private key. It turned out to be linked to a real account.

“I was shocked. The private key is like a lock in your treasury: if leaked, your assets can be stolen,” the programmer said.

Another developer suggested that Copilot pulled information from public GitHub repositories. The AI ​​assistant remembered public data and, when properly asked, “brought it to the surface”, he added.

Apparently the private key appeared in the public GitHub repositories. The programmers assumed that it was created for testing purposes. The wallet is active and has been used to send and receive real tokens.

Some developers also managed to find private keys. They turned out to be connected to other crypto wallets, some of which contained a small amount of money.

Former OpenAI researcher Ari Herbert-Voss suggested the keys were leaked because they were kept in the public domain.

p>

“People are excited that this is another way to find drain wallets, but note that they were all public,” he said.

Herbert-Voss suggested that potentially valuable accounts have already been emptied.

“The real risk is that someone is not careful and continues to use the compromised wallet,” he added.

OpenAI previously announced that it will add a personal information filter to Copilot, which will exclude personal data such as phone numbers and home addresses from training sets.

Recall that in June 2021, GitHub introduced the Copilot code autocompletion tool. The wizard was created in collaboration with OpenAI based on the Codex language model.

In July, the tool was suspected of copying copyrighted code fragments.

In October, researchers discovered that 30% of new code on GitHub was written with Copilot.

Natasha Kumar

About the author of the article

Natasha Kumar

Natasha Kumar has been a reporter at the news desk since 2018. Prior to that, she wrote about early adolescence and family dynamics for Styles and was a legal affairs correspondent for the Metro bureau. Prior to joining The Times Hub, Natasha Kumar worked as an editor at the Village Voice and as a freelancer for Newsday, The Wall Street Journal, GQ and Mirabella. To get in touch contact me via my natasha@timeshub.in

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Dear readers, the online edition joins the Front Pickup initiative and starts raising funds for a car for Ukrainian defenders, which we plan to drive from abroad. The Mitsubishi l200 SUV is already awaiting redemption. We have a few days. Help our soldiers get the right car. Paypal stopruorg@gmail.com Ethereum: 0x8ecf8dB15ef228331b87620c25383707fC6f3f57

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Artificial Intelligence (AI) in the Cybersecurity Market – Growing Demand from Industry Professionals – themobility.club https://ictnieuws.net/artificial-intelligence-ai-in-the-cybersecurity-market-growing-demand-from-industry-professionals-themobility-club/ Mon, 02 May 2022 21:12:02 +0000 https://ictnieuws.net/artificial-intelligence-ai-in-the-cybersecurity-market-growing-demand-from-industry-professionals-themobility-club/ The Artificial Intelligence (AI) in Cybersecurity market study by “Marketreports.info” provides details about market dynamics affecting the Artificial Intelligence (AI) in Cybersecurity market, market scope , market segmentation and shadow overlays on major market players highlighting the favorable competitive landscape and trends prevailing over the years. An exclusivity Artificial intelligence (AI) in cybersecurity The market […]]]>

The Artificial Intelligence (AI) in Cybersecurity market study by “Marketreports.info” provides details about market dynamics affecting the Artificial Intelligence (AI) in Cybersecurity market, market scope , market segmentation and shadow overlays on major market players highlighting the favorable competitive landscape and trends prevailing over the years.

An exclusivity Artificial intelligence (AI) in cybersecurity The market research report provides in-depth analysis of market dynamics in five regions such as North America, Europe, South America, Asia-Pacific, Middle East and Africa. Segmentation of the Artificial Intelligence (AI) in Cybersecurity Market by Type, Application, and Region has been done based on in-depth market analysis and validation through in-depth primary inputs from industry experts. industry, key business opinion leaders and stakeholders) and secondary research. (global/regional associations, trade journals, technical white papers, company website, SEC annual report filing and paid databases). Further, the Artificial Intelligence (AI) in Cybersecurity market has been estimated using various research methodologies and an internal statistical model.

The Artificial Intelligence (AI) in Cybersecurity Market report also provides an in-depth understanding of state-of-the-art competitive analysis of emerging market trends along with Artificial Intelligence Market drivers, restraints, challenges, and opportunities (AI) in cybersecurity to offer useful information and a current scenario to make the right decision. The Artificial Intelligence (AI) in Cybersecurity report covers major market players with detailed SWOT analysis, financial overview, and key product/service developments in the past three years. Moreover, the Artificial intelligence (AI) in cybersecurity The report also provides a 360º perspective of the market across the competitive landscape of the global Artificial Intelligence (AI) in Cybersecurity industry player and helps businesses to generate Artificial Intelligence (AI) revenue ) in the cybersecurity market by understanding the strategic growth approaches.

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Key Players of Artificial Intelligence (AI) in Cybersecurity Market are::

BAE Systems, Palo Alto Networks, Cisco, FireEye, Check Point, Fortinet, Symantec, IBM, Juniper Network, RSA Security

By TypeMachine LearningNatural Language ProcessingOtherMachine learning occupies the largest percentage of the market, with over 69% market share. grow at a constant speed in the future.

Artificial Intelligence (AI) in Cybersecurity Market – Global Analysis to 2022 is an exclusive and in-depth study which provides a comprehensive view of the Artificial Intelligence (AI) in Cybersecurity market including current trend and current trend. future magnitude of the market in terms of products/services. The Artificial Intelligence (AI) in Cybersecurity report provides an overview of the Artificial Intelligence (AI) in Cybersecurity market with detailed segmentation by type, application, and region through in-depth industry pull analysis global virtual reality. This Artificial Intelligence (AI) in Cybersecurity Market Report provides qualified research on the Artificial Intelligence (AI) in Cybersecurity Market to assess the key players by calibrating all relevant product/services to understand the positioning of the major artificial intelligence (AI) players. ) in the cybersecurity market.

the Artificial intelligence (AI) in cybersecurity report is a combination of qualitative and quantitative analysis of the Virtual Reality industry. The global Artificial Intelligence (AI) in Cybersecurity market majorly considers five major regions, namely North America, Europe, Asia-Pacific (APAC), Middle East & Africa ( MEA) and South and Central America (SACM). The Artificial Intelligence (AI) in Cyber ​​Security report also focuses on the comprehensive pest analysis and extensive market dynamics over the forecast period.

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Reason to buy

  • Save and reduce time carrying out entry-level research by identifying the growth, size, leading players and segments in the global Artificial Intelligence (AI) in Cybersecurity Market.
  • Highlights key business priorities to guide artificial intelligence (AI) in cybersecurity-related businesses to reform their business strategies and establish themselves in the vast geography.
  • The key findings and recommendations highlight crucial progressive industry trends in the Artificial Intelligence (AI) in Cybersecurity Market, thereby allowing players to develop effective long-term strategies in order to generate revenue from their market.
  • Develop/modify business expansion plans utilizing developed and emerging substantial growth offering [name] markets.
  • Dig deep into the global Artificial Intelligence (AI) in Cybersecurity market trends and outlook associated with the factors driving the market, as well as those restraining the growth to some extent.
  • Improve the decision-making process by understanding the strategies driving business interest in product, segmentation, and artificial intelligence (AI) across cybersecurity industry verticals.

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Use artificial intelligence to strengthen the protection of your digital assets https://ictnieuws.net/use-artificial-intelligence-to-strengthen-the-protection-of-your-digital-assets/ Thu, 28 Apr 2022 07:40:17 +0000 https://ictnieuws.net/use-artificial-intelligence-to-strengthen-the-protection-of-your-digital-assets/ Wallet Guardian is a new tool designed by GBC.ai to improve Web3 security. Artificial Intelligence (AI) is set to play a role in harnessing the power of blockchain technology to organize, manage and develop the advanced features of digital assets in the future. Blockchain as a mechanism for storing and sharing data coupled with the […]]]>

Wallet Guardian is a new tool designed by GBC.ai to improve Web3 security. Artificial Intelligence (AI) is set to play a role in harnessing the power of blockchain technology to organize, manage and develop the advanced features of digital assets in the future. Blockchain as a mechanism for storing and sharing data coupled with the ability of AI to mine that data makes blockchain and AI a technical marriage worth exploring. As the adoption of cryptography increases, so does the risk of data manipulation and mismanagement.

Our personal data is more accessible than ever. On-chain data storage is a popular way of keeping records, and when new users are first setting up their wallets, the Wallet Guardian can play a vital role when interacting with digital assets. AI can be trained to predict data authenticity and transaction patterns and identify any potential hacks that could reduce end-user protection.

Minimize the risks associated with the use of cryptographic bridges

Bridges are all the rage in the crypto world these days with more and more users interacting with dApps across a wide range of blockchain protocols. There are two types of bridges: trusted bridges and non-trusted bridges. As we move towards a more decentralized future, more attention will be paid to trustless bridges that use smart contracts and algorithms that do not require a centralized party for transactions. This increased interest and use of bridges is testing the levels of security offered on all blockchains. So how can we improve or ensure that the data we send between bridges is more securely protected?

Risks associated with bridges – The biggest crypto hacks originate from bridges. As it is a new technology, it is vulnerable and susceptible to infiltration by bad actors. As technology evolves over time, so do security features. In the meantime, users should remain vigilant and understand the individual risks when using bridges to engage with cryptocurrencies.

Work with Web3 security products to enhance protection

GBC.AI has announced Wallet Guardian, a brand new Web3 security product that integrates artificial intelligence into blockchain technology to improve security features and optimize distributed ledger technology. GBC.AI wants blockchains to become dynamic and, more importantly, self-aware. This is accomplished by detecting protocol issues and ensuring vulnerabilities are preactively addressed before they become problems, keeping blockchains efficient and secure.

“To date, auditing and monitoring services for Web3 environments have been the preserve of those willing (and able) to pay high fees,” commented Pavel Entin, CEO of GBC.AI. “It runs counter to the ideals of individual empowerment and inclusivity that drive many blockchain innovations, as users still lack the tools that help them research and protect their wallets. There is increasing transparency and awareness of how our data is collected and used when visiting websites2. Ironically, this is an area where Web3 environments have started to fall behind.

“Protection and active intelligence in the form of Wallet Guardian will help fix all of this and put the power of AI to work. We want to use this tool to empower users to take charge of the permissions they’ve granted, identify risks before they cause trouble, and understand the information they’ve revealed, ultimately ensuring they don’t compromise their portfolio. this Wallet Guardian to add it to our suite of products designed to harness the power of AI and blockchain,” Entin added.

Designed to protect users of digital assets against the growing number of threats to their wallets, Wallet Guardian combines advanced AI and blockchain technology to offer three tools: “X-ray”, “Real-Time Protection and “Bridge Guardian”. , which can be quickly deployed to wallet and browser environments to provide unparalleled visibility, protection, and control.

The first tool launched in Wallet Guardian is “X-ray”. Before a user approves any smart contract interaction in their wallet, Wallet Guardian’s x-ray feature will display a list of all permissions and disclosures requested by the new smart contract transaction. The tool will also allow users to browse and review any pending permissions their wallet has granted to other smart contracts. It also allows them to opt out of any of these old permissions and mitigate potential risks, ultimately giving users greater oversight and control over their various smart contracts.

Wallet Guardian’s technology is based on the enterprise-grade innovations of GBC.AI. This new consumer-centric product is part of GBC.AI’s mission to be a leader in AI-powered blockchain technology.

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Artificial Intelligence (AI) in Food and Beverages Market High Demand, Growth, Forecast Research, Key Manufacturers https://ictnieuws.net/artificial-intelligence-ai-in-food-and-beverages-market-high-demand-growth-forecast-research-key-manufacturers/ Wed, 27 Apr 2022 11:43:00 +0000 https://ictnieuws.net/artificial-intelligence-ai-in-food-and-beverages-market-high-demand-growth-forecast-research-key-manufacturers/ Emerging research logo The growing need to improve food safety standards is a key driver for the growth of the global artificial intelligence (AI) in food and beverage market. VANCOUVER, BC, CANADA, April 27, 2022 /EINPresswire.com/ — Artificial intelligence (AI) in the food and beverage market is expected to reach a market size of USD […]]]>

Emerging research logo

The growing need to improve food safety standards is a key driver for the growth of the global artificial intelligence (AI) in food and beverage market.

VANCOUVER, BC, CANADA, April 27, 2022 /EINPresswire.com/ — Artificial intelligence (AI) in the food and beverage market is expected to reach a market size of USD 62.83 billion at a stable CAGR of 44.4% in 2028, according to the latest analysis from Emergen Research. This steady revenue growth can be attributed to the growing need for safer and more efficient production facilities in the food and beverage industries. Food and beverage industries are increasingly adopting AI solutions to track costs, monitor inventory levels, and maintain transparency in supply chain processes.

The growing need to reduce food waste is also driving the use of AI in the food and beverage industry. The focus on improving food safety standards and the need to meet strict regulations related to food quality and process safety are driving the adoption of artificial intelligence in the food industry.

We have recent artificial intelligence (AI) updates in the food and beverage market in a sample copy: https://www.emergenresearch.com/request-sample/502

The Artificial Intelligence (AI) in Food and Beverages market report offers in-depth knowledge and insights on the Artificial Intelligence (AI) in Food and Beverages market regarding market size, share trends, growth influencing factors, opportunities and current and emerging trends. The study further assesses the regional market as well as the international market to get an insight into the scope of the market. The report provides in-depth insights into the technological advancements, industrial landscape and emerging technological and product developments in the Artificial Intelligence (AI) in Food and Beverage market. It offers fruitful business insights to help businesses take advantage of lucrative growth opportunities.

For the best solutions in the market, visit the link below @ https://www.emergenresearch.com/industry-report/artificial-intelligence-in-food-and-beverage-market

Some highlights of the report

In October 2020, ABB Ltd. announced the acquisition of Codian Robotics BV, which is a leading supplier of delta robots. Codian Robotics’ offerings include a hygienic design line, ideal for hygiene-sensitive industries including pharmaceutical, food and beverage.

The food processing industry segment accounted for the largest market share of 49.0% in 2020. Rising initiatives in food processing industries and growing adoption of solutions powered by AI in food processing units is expected to continue to drive revenue growth for this segment.

Revenue from the consumer engagement segment is expected to grow at a rapid CAGR of 45.2% during the forecast period. Food and beverage companies are increasingly deploying artificial intelligence that can monitor customer emotions across social media networks and platforms to elicit consumer responses, through which food and beverage companies beverages can enhance the customer experience and improve product offerings.

The report further offers comprehensive SWOT analysis and Porter’s Five Forces analysis to offer a better understanding of the competitive landscape of the industry. It also covers the strategies adopted by prominent players such as mergers and acquisitions, collaborations, joint ventures, product launches and brand promotions, among others. The report aims to provide readers with a comprehensive understanding of the relevant characteristics of the industry.

Key Players profiled in the report are:

Raytec Vision SpA, Rockwell Automation Inc., ABB Ltd., Honeywell International Inc., Key Technology Inc., TOMRA Sorting Solutions AS, GREEFA, Sesotec, Sight Machine Inc. and AGCO Corporation.

Additionally, the report provides a comprehensive overview of the Artificial Intelligence (AI) in Food and Beverage market along with the product portfolio and market performance. The report offers key insights on market share, supply chain analysis, supply and demand relationship, import/export details, and product and consumption patterns. For better understanding, the report is further segmented into sections such as product types offered by the market, application spectrum, companies, and key geographical regions where the market has established its presence.

Learn more and share questions, if any, before purchase on this report at @ https://www.emergenresearch.com/purchase-enquiry/502

The analysis of the segments and their growth projection is carried out by historical and current in-depth analysis of the market scenario. Additionally, the report provides details about the drivers and characteristics of Artificial Intelligence (AI) in Food and Beverage Market which is expected to drive the growth of the industry in the coming years.

Emergen Research has segmented the global Artificial Intelligence (AI) in Food and Beverages market based on end-use, application, and region:

End-Use Outlook (Revenue, USD Billion; 2021-2028)

Hotel and Restaurant

Food industry

The beverage industry

Application Outlook (Revenue, USD Billion; 2021-2028)

Consumer Engagement

Maintenance

Sorting of food

Manufacturing and packaging

Quality control and safety compliance

Other Apps
Key questions answered by the report:

What is the growth rate of Artificial Intelligence (AI) in the Food and Beverage Market? What is the anticipated market valuation of artificial intelligence (AI) in the food industry by 2028?

What are the key driving and restraining factors for the growth of Artificial Intelligence (AI) in Food and Beverage Market?

Who are the major players operating in the market? What are the main strategies adopted by these companies?

What are the key opportunities and growth prospects for artificial intelligence (AI) in the food and beverage industry over the forecast period?

Which region is expected to show significant growth in the coming years?

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MoD to fund startups for artificial intelligence and big data analytics: The Tribune India https://ictnieuws.net/mod-to-fund-startups-for-artificial-intelligence-and-big-data-analytics-the-tribune-india/ Sat, 23 Apr 2022 00:32:00 +0000 https://ictnieuws.net/mod-to-fund-startups-for-artificial-intelligence-and-big-data-analytics-the-tribune-india/ Tribune press service New Delhi, April 22 The Department of Defense will fund startups capable of providing solutions to the needs of artificial intelligence (AI), advanced imaging, sensor systems, big data analytics, unmanned autonomous systems and systems. secure communications, among other technologies. Defense Minister Rajnath Singh on Friday launched the sixth edition of […]]]>


Tribune press service

New Delhi, April 22

The Department of Defense will fund startups capable of providing solutions to the needs of artificial intelligence (AI), advanced imaging, sensor systems, big data analytics, unmanned autonomous systems and systems. secure communications, among other technologies.

Defense Minister Rajnath Singh on Friday launched the sixth edition of the Defense India Startup Challenge under the ongoing Innovations for Defense Excellence (iDEX) programme.

This aims to support projects requiring support beyond Rs 1.5 crore and up to Rs 10 crore. Apart from the three services and some Defense Public Sector Companies (DPSU), which participated in previous editions, this time the seven newly formed Defense Companies, Indian Coast Guard and organizations under the Ministry of Home Affairs will participate also.

Singh described these challenges as a symbol of the country’s growing technological prowess. “The iDEX program has provided an opportunity for our science and technology professionals to understand futuristic technologies such as AI, augmented reality, blockchain and space technologies,” the minister said. —

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Using Artificial Intelligence to Solve Supply Chain Problems, and Kevin O’Leary Doubles Down on Canadian Crypto https://ictnieuws.net/using-artificial-intelligence-to-solve-supply-chain-problems-and-kevin-oleary-doubles-down-on-canadian-crypto/ Fri, 22 Apr 2022 18:34:47 +0000 https://ictnieuws.net/using-artificial-intelligence-to-solve-supply-chain-problems-and-kevin-oleary-doubles-down-on-canadian-crypto/ As Russia’s invasion of Ukraine fans the flames of global inflation that was already on the rise, the Bank of Canada is stepping in to try to curb soaring prices here at home. The central bank hit Canadians this month with its first oversized interest rate hike in decades, by half a percentage point. The […]]]>

As Russia’s invasion of Ukraine fans the flames of global inflation that was already on the rise, the Bank of Canada is stepping in to try to curb soaring prices here at home. The central bank hit Canadians this month with its first oversized interest rate hike in decades, by half a percentage point.

The war is also driving up the prices of energy and other raw materials, further disrupting global supply chains, with freighters full of trade goods stranded in overwhelmed ports.

Canada’s top AI companies believe they can develop strategies and programs to bring products to market faster, making the time right for a new Canadian AI startup program.

Federal artificial intelligence agency Scale AI has announced phase two of its supply chain accelerator. It will support the growth and commercialization of a dozen promising Canadian AI companies through the Supply AI program, implemented by the MaRS Discovery District.

The 12 startups will work with experts to scale their businesses, grow their market share and increase their exposure to potential new investors.

Supply chain barriers: “Many of the products and services we use today are inherently complex. Some require thousands of parts or the coordination of suppliers in multiple geographies,” says Osh Momoh, Chief Technical Advisor at MaRS. “Think of vaccines, automobiles, or consumer products that Amazon delivers to our doorsteps.”

How AI can help: Many startup founders, like those in the Supply AI program, think artificial intelligence can be used to predict customer demand for supplies and improve routing to move items faster. It can automate the physical movement of goods and the assembly of products in commercial environments such as warehouses.

Based in Toronto taiga robotics is part of the program. It aims to reinvent factories with its fleet of AI-powered robots, which it rents out to small and medium-sized businesses to perform tasks such as sorting and packing.

“It alleviates strained labor resources by making robots more accessible in general,” says CEO and co-founder Dmitry Ignakov, “making them viable for workflows that are smaller than would warrant an investment in traditional automation”.

Canada as an AI leader: “We have the talent. We need an ecosystem for it to thrive here. To thrive, Ignakov says AI companies need help breaking down barriers to market adoption.

“These companies often need support, whether it’s being able to run street and public road pilots or getting help reducing the cost of initial deployments with their first customers.”

Shark Presence Grows in Canada’s Crypto Pool

Crypto company backed by Kevin O’Leary WonderFi Technologies Inc. is about to buy its second crypto trading platform this year, Coinberry Ltd.for $38.5 million in stock.

Vancouver-based WonderFi also recently acquired a Toronto-based crypto exchange Bitbuy Technologies Inc.which places two of the six Canadian-registered cryptocurrency trading platforms under the control of a single company.

WonderFI CEO Ben Samaroo thinks having Shark Tank host O’Leary as an investor gives them a competitive edge.

“Kevin is a big advocate for compliant investing because compliance is necessary for institutional investors to feel comfortable with.”

The Canadian market is consolidating: When the deal with Coinberry closes, WonderFi will own one-third of the Canadian licenses for the crypto platforms. The company will host over 750,000 users in its ecosystem and employ over 180 people, making it the largest crypto company in the country.

Martin Piszel, the CEO of the crypto trading platform Coincarre, says it expects further consolidation as the companies try to gain overall market share and take advantage of potential synergies. “The cost of regulation and the rising cost of customer acquisition will cause platforms to look for ways to gain scale and improve efficiency,” he said.

Crypto grows: The next step for the industry could be increased regulation. Some Canadian crypto firms operate under two-year temporary regulatory licenses. The next step in their process is to register as a full member Investment Industry Regulatory Organization of Canada (IIROC) to create long-term stability, drive out unlicensed operators and attract foreign investment.

“Regulated platforms will become more valuable to the Canadian crypto market,” says Piszel. “Large foreign players will assess the cost and time of entry into the Canadian market and may choose to seek acquisition targets that have already done the heavy regulatory work,” he says.

A window of opportunity in biotechnology

As part of the fight against COVID-19, Ontario recently announced increased access to a new therapeutic drug for patients infected with the virus. Recently Approved Paxlovid Reduces Risk of Hospitalization and Death in COVID Patients by 89% according to a Pfizer study.

The pandemic has heightened our awareness of the biotechnology industry, particularly the need to increase Canada’s capacity to produce vaccines and therapeutics. But the researchers say we shouldn’t stop there.

The Innovation Economy Council (IEC) just released a report it says that Canada has a huge opportunity to lead in gene and cell therapy. The country has the capacity to create a multi-billion dollar industry, but it needs to expand its capacity to manufacture treatments, conduct clinical trials and train talent.

And after? Based in Toronto Regenerative Medicine Commercialization Center (CCRM) has helped fund and lead a dozen promising cell and gene therapy start-ups, employing 250 people and raising an impressive $770 million in venture capital. This year, the CMRC will open a biofabrication facility at McMaster Innovation Park in Hamilton. The facility will help Canadian companies bring their breakthrough treatments to patients.

Why is cell and gene therapy so important? CCRM President and CEO Michael May says cell and gene therapies promise to cure disease, not just treat symptoms.

“It’s revolutionizing medicine and we can see it playing out in the world today,” May says. “Canadian science has helped define this industry and I believe that the industrialization of the sector is an opportunity for Canada to become a world leader in the field of life sciences.

Canada’s next best move: May wants the federal government to invest in infrastructure, emerging businesses, talent and new therapies.

“I would like to see products labeled ‘Made in Canada’. Canada should be the destination of choice for capacity and expertise and we must be a pioneer in the clinical adoption of these breakthrough therapies,” said May. “I can imagine a vibrant ecosystem with Canada’s ecosystem as the nexus of a global industry.

In other news:

  • Halifax-based company Carbon Cure just announced an agreement to sell nearly $38 million in carbon credits. The carbon capture company sold the offsets to emissions reduction company Invert and blockchain provider Ripple. It represents the largest investment to date in verifiable carbon storage. CarbonCure’s technology helps recycle carbon dioxide back into fresh concrete mixes.
  • Toronto-based startup e-zinc just raised over $31 million. The company’s zinc-air battery enables long-lasting, sustainable energy storage and it will use the funding for its first commercial storage systems.
  • Air Compression Energy Storage Developer Hydrostor Inc. has just obtained an investment of more than 31 million dollars from the Canada Pension Plan Investment Board. The money will help the Toronto-based company build its first large commercial facilities to push more wind and solar power to the power grids.
  • from Toronto Corrugated just raised $2.5 million for its corporate culture management platform. The company will use the money to build an engineering and product team, and hire more sales and customer service employees.

Janey Llewellin writes on technology for MaRS. Torstar, the parent company of the Toronto Star, has partnered with MaRS to shine a light on innovation in Canadian business.

Warning This content has been produced in partnership and therefore may not meet the standards of impartial or independent journalism.

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Two key drivers in 2022: artificial intelligence and blockchain https://ictnieuws.net/two-key-drivers-in-2022-artificial-intelligence-and-blockchain/ Fri, 22 Apr 2022 00:33:32 +0000 https://ictnieuws.net/two-key-drivers-in-2022-artificial-intelligence-and-blockchain/ Technological changes have dramatically changed the way humans work, learn, live and even think over the past few decades. Due to global lockdowns during the pandemic, many people and businesses have rushed to develop new forms of virtual experiences and digital interactions. As technology continues to be one of the biggest differentiators between modern businesses, […]]]>

Technological changes have dramatically changed the way humans work, learn, live and even think over the past few decades. Due to global lockdowns during the pandemic, many people and businesses have rushed to develop new forms of virtual experiences and digital interactions.

As technology continues to be one of the biggest differentiators between modern businesses, new technology trends have started to emerge for the new year 2022. These emerging trends are just the beginning of the major shift to Web3 .0.

Blockchain as a Service, or Baas, is a new trend in the blockchain space that many companies and businesses have already started to take advantage of. Blockchain as a Service is a cloud-based solution that allows companies to collaborate on blockchain-based digital products, such as smart contracts, decentralized applications (dApps), etc. Since these types of products do not require the full blockchain infrastructure to function properly, they can be integrated much more easily by large-scale enterprises.

Many companies have already started developing their own blockchains and providing Blockchain as a Service to a wide range of businesses, which will ultimately impact the future of blockchain-based applications for years to come.

Artificial intelligence

The rise of artificial intelligence has been one of the greatest technological advancements of our generation and shows absolutely no signs of slowing down. Many companies have started integrating AI into their businesses in different ways, from AI chatbots for customer service to Netflix using AI to recommend movies you might be interested in.

Machine learning is embedded in everything from Tesla’s new vehicles using AI to improve self-driving capabilities, to Amazon’s Alexa voice assistant using machine learning to interpret user queries and execute stain.

Decentralized Artificial Intelligence on the Blockchain

Many of the difficulties associated with blockchain and AI technologies can be solved by merging the two ecosystems. When combined, these systems can create an immutable, secure, and decentralized system.

This interconnection of artificial intelligence and blockchain technology is important to keep a reliable record of every AI algorithm recording made during the machine learning process.

Combining these ecosystems has resulted in massive advancements in information and data security across a variety of industries, including healthcare, personal banking, and others.

Storing large files or documents on the blockchain can be extremely expensive due to factors such as the Bitcoin network’s file size limit of 1 megabyte per block. To circumvent this problem, the data is stored on a decentralized storage medium and the hashes of the data are tied to the blockchain or implemented in smart contract code.

A recent report by MarketWatch estimated that the Asia-Pacific blockchain artificial intelligence market will grow at an annual rate of 31.1%. With major driving factors such as progress in the cryptocurrency space and a growing number of investments in AI blockchain projects, this would place the segment near a total addressable market capitalization of US$3,650 million.

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Digital Prometheus: artist Refik Anadol imbues artificial intelligence with creativity https://ictnieuws.net/digital-prometheus-artist-refik-anadol-imbues-artificial-intelligence-with-creativity/ Mon, 18 Apr 2022 18:30:11 +0000 https://ictnieuws.net/digital-prometheus-artist-refik-anadol-imbues-artificial-intelligence-with-creativity/ Since graduating with an MFA from UCLA’s Media Arts in Design program in 2014, artist Refik Anadol has become a global sensation known for his exhibitions that harness advanced artificial intelligence and machine learning algorithms to create mind-blowing multi-sensory experiences. . His work, however, is much more than just fascinating feasts for the eyes and […]]]>

Since graduating with an MFA from UCLA’s Media Arts in Design program in 2014, artist Refik Anadol has become a global sensation known for his exhibitions that harness advanced artificial intelligence and machine learning algorithms to create mind-blowing multi-sensory experiences. .

His work, however, is much more than just fascinating feasts for the eyes and ears; it addresses the challenges and opportunities that our ubiquitous computing has imposed on humanity.

On April 19, Anadol’s latest piece, “Moment of Reflection,” will debut on campus, where he is also a lecturer in UCLA’s Department of Media Arts Design. It was in this department that he learned from innovative teachers like Christian Moeller, Casey Reas, Jennifer Steinkamp and Victoria Vesna, all of whom use digital technology to help reshape the designs of art.

“Using the data is a scientific approach to something very emotional and spiritual,” Anadol said. “I think it’s very important for artists and creators to find that ‘human’ in the non-human.”

Ahead of “Moment of Reflection,” Anadol shares stories of inspiration and challenges about four of his pieces.

“WDCH Dreams” – Projection Show at the Walt Disney Concert Hall (2018)

LA Phil

To make a building like the Walt Disney Concert Hall “dream”, Anadol worked with Google Arts and Culture and researcher Parag Mital. They applied artificial intelligence to nearly 45 terabytes of digital archives from the Los Angeles Philharmonic, including 587,763 image files, 1,880 video files, 1,483 metadata files and 17,773 audio files.

Anadol: It was 2012 when I moved into my home in Venice and at 2am I rented a car and drove to downtown Los Angeles because I wanted to see the Walt Disney Concert Hall. Frank Gehry has been my hero since I learned architecture and I’m still inspired by architecture as a canvas.

Ever since I watched “Blade Runner,” I’ve dreamed that Los Angeles would be the place to reflect my imagination of an optimistic future. But when I went downtown at 2 am it was the opposite. There were no humans, no cars, and no lights. The building was dark and that night I remember thinking – in a very offbeat state – that I could take this building and one day it could learn and dream.

I emailed Frank Gehry and I emailed the LA Philharmonic. I didn’t know them but I was trying to connect with them and ask them if one day this could happen? And of course no answer was given.

A year later, I was at a Microsoft Research conference giving a talk to Bill Gates to present my idea. I said: “I want this building to make people dream and hallucinate one day. I received the award that day.

I came back to LA to my apartment two days later. I had received a response from Frank Gehry and I received a response from the LA Philharmonic. So in 2014, just when I graduated from UCLA, we did a screening show with Esa-Pekka Salonen (former LA Phil Music Director) inside Disney Hall. They found no reason to do an outdoor projection show until Phil’s centenary year in 2018.

Thanks to Frank Gehry and the LA Philharmonic, we got 100 years of every piece of data they recorded. Every sound, image, video, text, poster, sheet music and had one of the most advanced Google algorithms to analyze everything.

Frank Gehry means compound curvature, right? There is nothing symmetrical. There is nothing flat. Everything is equally bright and shiny. For example, where you project the images is so mathematically important for the audience to get the best effect.

We had 14 kilometers of fiber cables. We designed everything from scratch. When I say “we”, I mean my team, which is 15 people speaking 15 languages, representing 10 countries. And half of our studio is UCLA Bruins.

This project transformed our studio. In the near future, architecture will have an AI connection and if done on purpose, buildings can remember and dream. This is no longer a science fiction idea. This project sparked people’s imaginations.

“A significant moment for humanity” – NFT project for St. Jude Children’s Research Hospital (2022)


This collection of NFTs, or non-fungible tokens, is based on data collected during the first all-civilian spaceflight, Inspiration4. The artwork uses data shared by the NASA-funded Translational Research Institute for Space Health, or TRISH. Other collaborators were Baylor College of Art and Baylor College of Medicine and SpaceX. They recorded data about the astronauts’ bodies and spaceflight, including things like heart rate, brain activities, ultrasound data, temperature, cabin pressure, and more.

Anadol: I started learning blockchain in 2014. The pandemic, which has confined us to our homes, has caused all of humanity to focus on digital art, even if digital art itself does not was not the most appreciated thing in the art world. There were always skeptical thoughts, like “I prefer sculpture or I prefer painting”. For some reason everyone thought that if software did it, it wasn’t art.

With technology, there are pros and cons, like fire. We have AI and blockchain, so I challenged myself to ask the question, “What else can we do with this?” It put me in a more deeply positive mindset, like fundraising and paying attention to the lack of funding for St. Jude Children’s Research Hospital. Or we could raise awareness of the complexity of AI.

“Hallucination Machine: NYC” (2019)

“Machine Hallucination: NYC” took a vast trove of data – over 113 million photographic memories of New York City found in publicly available social media posts – and turned it into a 30-minute experimental cinema that was presented in 16K resolution at Artechouse in New York.

Anadol: I’m very lucky to have been one of the first artists to work with Google’s AI team in 2016. I got to work with some of the most cutting-edge scientists, hardware, software and AI on this video.

The questions were therefore: “Can an AI learn? Can he dream?

A dream learns and remembers. These are very cognitive processes for humans. But I think when we apply this idea to AI, we have limitations. We only used collective memories from public data, because data is very important in machines. Ethically, we do not use any personal data. We only use things that are public, like our collective memories of things like nature, space and urban culture.

Additionally, we trained the AI ​​ethically. We only showed what the AI ​​learned. We have never shown what is real. This has become very exciting ethical AI research.

It created the feeling of being in the mind of an AI dreaming of New York.

I think this project got so much attention because it was a new idea. It was a new feeling. He was talking about AI, he was talking about an experience of being in a physical environment. It was to speculate on the future of architecture. It involved AI and questions like, “OK, if we have this data, who else gets it, right? We make art with it. But what else to do?”

“Quantum Memories” at the National Gallery of Victoria in Melbourne, Australia (2020)


Using approximately 200 million nature and landscape images, “Quantum Memories” uses publicly available Google AI quantum computing research data and algorithms to explore the possibility of a parallel world. As theorized in quantum physics, this artwork was different for each person who experienced it. It tracked the movements of each audience member in real time, simulating how their viewing positions became entangled with the visible results of the ever-changing artwork.

Anadol: The project started in 2019. Working with the quantum computing team at Google AI, we were able to create something that would represent physicist Hugh Everett’s “many worlds” theory, which says that every subatomic calculation can open a new dimension.

How the hell can humans perceive subatomically, right? We need machines to understand life and record who we are and our memories. We need telescopes. We need microscopes. So we also need another machine to see these alternate dimensions.

The question was, “Can we work with this quantum computer and its data to simulate alternate realities?” We worked with the Google team, who found this fascinating, to create “Quantum Memories” – a unique AI model that can look at this data and simulate AI dreams. We generated alternate dimensional projections of nature.

What I would like people to know about this is the amount of work behind it all and that there was great teamwork, experimentation and failures. It was a series of iterations drawing from computer graphics, neuroscience, philosophy and music, nature. It covers many disciplines.

It’s a very UCLA mindset, isn’t it? We research and find new ways to make sense of the arts in the age of artificial intelligence.

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