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Stocks that will see action today – BusinessLine

Mumbai, May 6

Wipro Ltd and HFCL Ltd have announced that they have entered into a partnership to engineer a variety of 5G transport products that include a Cell Site Router, DU (Distributed Unit) Aggregation Router, and CU (Centralised Unit) Aggregation Router.

Leading two- and three-wheeler maker TVS Motor Company made two big announcements on Thursday - Sudarshan Venu, now Joint Managing Director, has been elevated as the Managing Director, and the companys total revenues crossed 20,000 crore for the first time.

Jindal Worldwide has acquired Mumbai-based electric vehicle start-up Earth Energy EV through its subsidiary Jindal Mobilitric. Additionally, Jindal Mobilitric will set up a new manufacturing plant in Ahmedabad, which will supplement the existing Earth Energy manufacturing facility in Maharashtra. The acquisition will see Jindal Mobilitric take over the indigenously developed technology platform as well as Earth Energys brands Glyde SX and the Glyde SX+ variants of its commuter scooter as well as the Evolve R and the Evolve S commuter and cruiser motorcycles, the company said in an official release.

Cigniti Technologies has signed a binding agreement to acquire 100 per cent stake in an AI/ML, data engineering, analytics, and blockchain services company that operates under the brand name RoundSqr and its foreign subsidiaries, namely, RoundSqr Inc; USA and RoundSqr Pty Ltd; Australia. This is a firm step towards bolstering Cignitis strategic pursuit of becoming a specialised digital engineering and assurance services provider, the company said in a release.

The Strategic Investment Committee of the Mahindra & Mahindra board has approved divestment of up to 94,46,156 equity shares of Rs 2 each, representing up to two per cent of the issued and paid-up equity share capital of Brainbees Solutions Pvt Ltd on a fully diluted basis, by way of an Offer for Sale of equity shares as part of the proposed IPO of Brainbees. The actual number of shares to be divested will be decided in due course, it said.

Nodwin Gaming Pvt Ltd, a material subsidiary of Nazara Technologies Ltd, hasacquired 19,955 equity shares of Rs 10 each of Superhero Brands Pvt Ltd for a consideration of Rs 3.49 crore on May 4, 2022. With this acquisition, Nodwin now holds the equivalent of 71.30 per cent equity on a fully diluted basis, of Planet Superheroes.

RailTel Corporation of India Ltd. has received a work order from Indian Railway Finance Corporation Ltd. for implementation of ERP and other business modules, along with servers for cloud hosting and DR services at a cost of Rs 20.81 crore (plus GST).

Future Enterprises had agreed to sell 25 per cent stake in its general insurance joint venture, Future Generali India Insurance Company Ltd, to its joint venture partner, Generali Participations Netherlands N. V. subject to the receipt of the necessary approvals from governmental and regulatory authorities. After receiving key approvals, the transaction was consummated on May 5, 2022. Following this, the company has sold 25 per cent shares for a consideration of Rs. 1,266.07 crore. Post completion of the transaction, the company continues to hold (directly and indirectly) 24.91 per cent shares in FGIICL

The Phoenix Mills Ltd (PML) has announced the completion of acquisition of balance 50 per cent equity stake in Classic Mall Development Company Ltd (CMDCL) from Crest Ventures Led and Escort Developers Private Ltd (a 100 per cent subsidiary of Crest Ventures Ltd). Prior to this, PML owned 50 per cent in CMDCL and the balance 50 per cent was owned by Crest Ventures (46.35 per cent) and Escort Developers (3.65 per cent). CMDCL is now a wholly-owned subsidiary of PML that has paid Rs 936 crore to acquire the 50 per cent stake held by Crest Ventures and Escort Developers.

The board of Renaissance Global Ltd at its meeting held on May 5, 2022, approved the sub-division/ split of the existing equity shares of the company from one equity share having face value of Rs 10 each, fully paid-up into five equity shares having face value of Rs 2 each fully paid-up.

Madan Mohan Varshney, whole-time Director of Flex Food Ltd has resigned from the board with effect from May 5, 2022 for personal reasons.

A meeting of the board of H industan Foods Ltd is scheduled to be held on Friday, May 20, to consider and approve the proposal to sub-divide/split equity shares of the company.

Dolfin Rubbers has fixed Tuesday, May 17, 2022 as the Record Date as well as the Book Closure Date, for the purpose of ascertaining the eligibility of shareholders entitled for issuance of bonus equity shares in the proportion of one equity share of Rs. 10 each for every three existing equity shares of Rs 10 each.

Results calendar: Reliance Industries, Reliance Home Finance, Canara Bank, CSB Bank, Federal Bank, Great Eastern Shipping Company, Shipping Corporation of India, Bajaj Consumer Care,Tata Power Company, Apollo Pipes, Apollo Tricoat Tubes, Hariom Pipe Industries, Sundaram-Clayton, Greenpanel Industries, Grindwell Norton, Kokuyo Camlin, Paisalo Digital, Paushak, Vesuvius India, and Vikas EcoTech

Published onMay 06, 2022

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CS 188: Introduction to Artificial Intelligence, Spring 2022

CS 188: Introduction to Artificial Intelligence, Spring 2022

Lectures: Tu/Th 2:003:30 pm, Wheeler 150

This course will introduce the basic ideas and techniques underlying the design of intelligent computersystems. A specific emphasis will be on the statistical and decision-theoretic modeling paradigm.

By the end of this course, you will have built autonomous agents that efficiently make decisions in fullyinformed, partially observable and adversarial settings. Your agents will draw inferences in uncertainenvironments and optimize actions for arbitrary reward structures. Your machine learning algorithms willclassify handwritten digits and photographs. The techniques you learn in this course apply to a wide varietyof artificial intelligence problems and will serve as the foundation for further study in any applicationarea you choose to pursue.

See the syllabus for slides, deadlines, and the lecture schedule. Readings refer tofourth edition of AIMAunless otherwise specified.

All lecture recordings are posted to Kaltura. This link will work only if you are signed into your UC Berkeley bCourses (Canvas) account.

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CS 188: Introduction to Artificial Intelligence, Spring 2022

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What’s the Impact of Artificial Intelligence in the Hotel Industry – Hospitality Net

To enhance customer loyalty in the hospitality business, you need to deliver an everlasting customer experience to your guests. With the introduction of advanced and powerful technology like artificial intelligence in the hotel industry, delivering premium guest experiences at reasonable prices has become easier.

It can help you magnify your business revenue and profits and scale your business to new heights.

Today big brands like Hilton Hotels & Resort and Marriott International have integrated chatbots that help automate the customer support experience for their customers

Artificial intelligence in hotels is helping businesses make well-informed decisions that can streamline the business flow and optimize performance.

It can help businesses better understand the customer's requirements and needs and help hoteliers deliver a quality guest experience.

But thats just the drop in the bucket.

Theres a lot more you need to know to get a holistic view of the impact ofartificial intelligence in the hotel industry.

So without further ado, lets get started.

Artificial Intelligence (AI) is a powerful concept that refers to the intelligent and advanced behavior of computers or machines that can learn from the collected data and make well-informed decisions by analyzing the data.

The advancements in AI have increased its applications, and the horizon has touched the hospitality industry. The collection and analysis of consumer data to extract valuable touchpoints have become a great asset for hoteliers.

It has helped businesses to improve the areas where businesses lack and optimize the customer service, maximize workforce efficiency, minimize time and effort, and scale business revenue and profits.

The use of a machine learning algorithm and artificial intelligence has helped businesses to compete with the big guns in the industry and create a solid presence in the hospitality industry.

There are different aspects that AI in the hotel industry has revolutionized. Have a look.

We have filtered the most impactful areas of Artificial Intelligence in the hotel industry to help you understand the rise of AI technology.

The traditional approach of attending to the guests from the front desk and answering their calls physically is slowly fading away.

Businesses used to train their staff or hire experienced people to verify the documents of guests during the check-ins, answer their queries, and deliver undivided attention to the guests.

But these methods didnt deliver a higher level of efficient and effective results when the footfall increased. The limitation of attending one person at a time restricts hotel businesses from increasing efficiency and minimizing guest management time and effort.

With the introduction of AI and digitization in the hospitality industry, chatbots have become the preferred assistance for hoteliers to handle multiple guests.

Your chatbots can take care of the online queries of potential guests and minimize the pressure from your front desk employees.

Another popular introduction is in the form of self-check-in kiosks. It helps in improving customer service and removes the hassles of tedious check-in routines.

Customers can check-in hassle-free and get a consistent guest experience which helps hotels stand out from the rest and strengthen their hold in the industry.

Integrating automation into your existing business ecosystem can help you increase the efficiency of your business and scale it to new heights. You can use a powerful AI-backed property management system that can help you streamline your revenue management.

You can get a holistic view of the profits, expenses, and other factors to remain on top of business cash flow. AI-backed tools can help you get the best rates based on the current market scenario and simultaneously communicate the information with the OTA (Online Travel Agencies) channels.

Theuse of Artificial Intelligence in the hospitality industry can help you grab the dynamic opportunity available in the market and skyrocket your business revenue with finesse.

AI technology in the hospitality industry can help you leverage the power of personalization and help you pave the way for better service efficiency and effectiveness.

You can create a personalized communication experience with your guests and strengthen the relationship and trust. Personalization helps to connect with the customers in a better way and improve your loyal customer base for business scalability.

You can send personalized messages to ask about their staying experience and periodically send discount offers and other coupons to stay connected with your loyal customers.

Data is the new oil, and being in the hospitality business AI can help you leverage your customer's data to strengthen your marketing and customer experience.

AI tools can help you extract valuable data points from a large volume of data that can enable you to make well-informed decisions to increase your business numbers.

With the power of AI, you can retain guests, know your guest preferences, integrate loyalty programs, and enhance customer service. Using the power of data, you can categorize your guest list based on their budget, amenities, and room preference, among other factors.

Data analytics can also be vital for analyzing different surveys and customer feedback to enhance your hotel operations.

You can extract in-depth and detailed performance reports of your in-house team and your guests to get a birds-eye view of different business aspects.

If you want to scale your business to have a global footprint, you must adapt to the customers local language. You need to break the communication barriers between your business and your guests.

AI communication tools can help you answer queries around the clock in different parts of the world in different languages.

Intelligent chatbots are designed to communicate with local customers using natural language processing (for text) and generation (for voice) in the native language of the guests. It promotes precise and clear communication between the machine and the user.

Now that you understand the many positive impacts of AI on the hospitality industry, its time you integrate advanced AI tools into your business ecosystem.

Numerous AI-powered tools are available in the market that you can choose from depending on their functionalities, pricing, and ease of use. But its difficult to search and filter multiple tools and manage multiple of them.

What if there was one AI-backed product that could provide you with multiple tools to simplify your hospitality business?

Well, there is.

AxisRooms offers you a complete suite of products for the hospitality industry that can handle your hotel operations irrespective of the scale of your business.

You can use AxisRooms and access tools like channel manager, booking engine, vacation rental software, property management system, revenue management system, and rate shopper to ensure you deliver a quality guest experience.

It helps you bypass manual and traditional operational hiccups that hinder your business growth. You can improve your business revenue and scale your business to new heights using AxisRooms.

With quality 24*7 customer support, our team can help you solve the dynamic issues and problems that can help you clear the blockage in your business workflow.

Get a hands-on experience of the tool with the demo version and experience the transformation AI can bring to your existing business ecosystem.

AxisRooms, a software suite provider for the hospitality industry, is committed to aiding your business growth, not just with our state-of-the-art products and services, but also with the latest updates from the travel and hospitality industry. Got something to say? Write to us at : [emailprotected]

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What's the Impact of Artificial Intelligence in the Hotel Industry - Hospitality Net

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Conversational Artificial Intelligence (AI) Market Research With Google, Microsoft, IBM And By Type, By Application, By End User, By Regional Outlook,…

Conversational artificial intelligence (AI) is a technology that enables machines to understand the purpose and context of human-to-human interactions to respond in real-time. Conversational AI is one of the fastest-growing areas of AI and focuses on humanizing computers. For example, through natural language processing and machine learning, computers can understand what someone is saying and respond accordingly. Therefore, conversational AI is the solution if you are trying to solve customer problems or better process information.

The Conversational Artificial Intelligence (AI) Market research study provides a contextual analysis of the specialized limits, various challenges, and cost adequacy that influence the Conversational Artificial Intelligence (AI) Market. It provides a comprehensive review of the total Market by offering in-depth knowledge, reliable data, and complete estimates about the growth of the Conversational Artificial Intelligence (AI) industry. The report estimates were derived from proven research techniques and assumptions. Thus, the report serves as a repository of data and research for every market area, including but not limited to regional markets, applications, types and innovation.

Get Sample of Market Report with Global Industry Analysis: http://www.researchinformatic.com/sample-request-319

The research defines and explains the market by gathering relevant and unbiased data. It is growing at a 20.3% of CAGR during the forecast period.

This Conversational Artificial Intelligence (AI) study provides an overview of the Market, a table of contents, and information on the multiple research methodologies and data sources used in the reports preparation. It summarizes current Conversational Artificial Intelligence (AI) market trends that can assist businesses in understanding the Market and strategizing for future growth. It includes business sector size, industry share, development, major sections, CAGR, and driving factors. Finally, the research findings and conclusion are covered in depth.

Readers will learn about critical competitors and their strategies to acquire extraordinary advantages in the Conversational Artificial Intelligence (AI) Market in this section. This fundamental analysis will help readers to determine which competitor contributes the most to the Conversational Artificial Intelligence (AI) Market. The best-performing competitors are listed below:

Google, Microsoft, IBM, AWS, Baidu, Oracle, SAP, FIS, Artificial Solutions, Kore.ai.

Get Enquired For Customized Report: http://www.researchinformatic.com/inquiry-319

Segmentation:

The segmentation study conducted in the Conversational Artificial Intelligence (AI) report aids market players in boosting productivity by focusing on their organizations goals and assets in market segments that are most favorable to their objectives. The segments are done based on:

Conversational Artificial Intelligence (AI) By type

Intelligent Virtuals Assistants, Chatbots

Conversational Artificial Intelligence (AI) By applications

BFSI, Retail & Ecommerce, Media & Entertainment, Others

The analysis report highlights the shifting facts in the Conversational Artificial Intelligence (AI) Market that are used to influence Market, demand, and supply. In addition, it looks into the organizational developments that are expected to influence or disrupt the Markets growing trend. The report covers the worldwide Conversational Artificial Intelligence (AI) market, focusing on the regions ;

Synopsis of the Conversational Artificial Intelligence (AI) research report

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Artificial Intelligence in Supply Chain Market Research With Amazon Web Services, Inc., project44.| Discusse Reach Good Valuation Queen Anne and…

With its unique ability to process millions of data points per second, AI can help supply chain managers solve tactical and strategic decision-making problems. This is particularly useful when dealing with large amounts of unstructured data. The ability to automate day-to-day tasks can help companies react more quickly to changes or problems in the supply chain. It also ensures that inventory levels are optimized for optimal availability at the lowest possible cost.

The Artificial Intelligence in Supply Chain Market research study provides a contextual analysis of the specialized limits, various challenges, and cost adequacy that influence the Artificial Intelligence in Supply Chain Market. It provides a comprehensive review of the total Market by offering in-depth knowledge, reliable data, and complete estimates about the growth of the Artificial Intelligence in Supply Chain industry. The report estimates were derived from proven research techniques and assumptions. Thus, the report serves as a repository of data and research for every market area, including but not limited to regional markets, applications, types and innovation.

Get Sample of Market Report with Global Industry Analysis: http://www.researchinformatic.com/sample-request-324

The research defines and explains the market by gathering relevant and unbiased data. It is growing at a 42.3% of CAGR during the forecast period.

This Artificial Intelligence in Supply Chain study provides an overview of the Market, a table of contents, and information on the multiple research methodologies and data sources used in the reports preparation. It summarizes current Artificial Intelligence in Supply Chain market trends that can assist businesses in understanding the Market and strategizing for future growth. It includes business sector size, industry share, development, major sections, CAGR, and driving factors. Finally, the research findings and conclusion are covered in depth.

Readers will learn about critical competitors and their strategies to acquire extraordinary advantages in the Artificial Intelligence in Supply Chain Market in this section. This fundamental analysis will help readers to determine which competitor contributes the most to the Artificial Intelligence in Supply Chain Market. The best-performing competitors are listed below:

Amazon Web Services, Inc., project44., Deutsche Post AG, FedEx, GENERAL ELECTRIC, Google LLC, IBM, Intel Corporation, Coupa Software Inc.., Micron Technology, Inc.

Get Enquired For Customized Report: http://www.researchinformatic.com/inquiry-324

Segmentation:

The segmentation study conducted in the Artificial Intelligence in Supply Chain report aids market players in boosting productivity by focusing on their organizations goals and assets in market segments that are most favorable to their objectives. The segments are done based on:

Artificial Intelligence in Supply Chain By type

Machine Learning, Supervised Learning, Unsupervised Learning, and others

Artificial Intelligence in Supply Chain By applications

Fleet Management, Supply Chain Planning, Warehouse Management, Others

The analysis report highlights the shifting facts in the Artificial Intelligence in Supply Chain Market that are used to influence Market, demand, and supply. In addition, it looks into the organizational developments that are expected to influence or disrupt the Markets growing trend. The report covers the worldwide Artificial Intelligence in Supply Chain market, focusing on the regions ;

Synopsis of the Artificial Intelligence in Supply Chain research report

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Artificial Intelligence in Telecommunication Market Analysis, Research Study With IBM Corporation, Microsoft, Intel Corporation Queen Anne and…

Artificial Intelligence in Telecommunication Marketresearch is an intelligence report with meticulous efforts undertaken to study the right and valuable information. The data which has been looked upon is done considering both, the existing top players and the upcoming competitors. Business strategies of the key players and the new entering market industries are studied in detail. Well explained SWOT analysis, revenue share and contact information are shared in this report analysis. It also provides market information in terms of development and its capacities.

Artificial Intelligence in Telecommunication Market is growing at a High CAGR during the forecast period 2022-2029. The increasing interest of the individuals in this industry is that the major reason for the expansion of this market.

Get the PDF Sample Copy (Including FULL TOC, Graphs, and Tables) of this report @:

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Some of the Top companies Influencing in this Market includes:

IBM Corporation, Microsoft, Intel Corporation, Google, AT&T Intellectual Property, Cisco Systems, Nuance Communications, Inc., Evolv Technology Solutions, Inc., H2O.ai, Infosys Limited, Salesforce.com, Inc., and NVIDIA Corporation

Various factors are responsible for the markets growth trajectory, which are studied at length in the report. In addition, the report lists down the restraints that are posing threat to the global Artificial Intelligence in Telecommunication market. It also gauges the bargaining power of suppliers and buyers, threat from new entrants and product substitute, and the degree of competition prevailing in the market. The influence of the latest government guidelines is also analysed in detail in the report. It studies the Artificial Intelligence in Telecommunication markets trajectory between forecast periods.

Global Artificial Intelligence in Telecommunication Market Report Offers:

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The cost analysis of the Global Artificial Intelligence in Telecommunication Market has been performed while keeping in view manufacturing expenses, labor cost, and raw materials and their market concentration rate, suppliers, and price trend. Other factors such as Supply chain, downstream buyers, and sourcing strategy have been assessed to provide a complete and in-depth view of the market. Buyers of the report will also be exposed to a study on market positioning with factors such as target client, brand strategy, and price strategy taken into consideration.

Key questions answered in the report include:

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About Us:

Research Cognizance is an India-based market research Company, registered in Pune. Research Cognizance aims to provide meticulously researched insights into the market. We offer high-quality consulting services to our clients and help them understand prevailing market opportunities. Our database presents ample statistics and thoroughly analyzed explanations at an affordable price.

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Artificial Intelligence in Telecommunication Market Analysis, Research Study With IBM Corporation, Microsoft, Intel Corporation Queen Anne and...

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Artificial Intelligence in Diagnostics Market Recovery and Impact Analysis Report Aidoc, AliveCor, GE Healthcare Queen Anne and Mangolia News -…

Artificial Intelligence in Diagnostics Market research report is the new statistical data source added by Research Cognizance.

Artificial Intelligence in Diagnostics Market is growing at a High CAGR during the forecast period 2022-2029. The increasing interest of the individuals in this industry is that the major reason for the expansion of this market.

Artificial Intelligence in Diagnostics Market research is an intelligence report with meticulous efforts undertaken to study the right and valuable information. The data which has been looked upon is done considering both, the existing top players and the upcoming competitors. Business strategies of the key players and the new entering market industries are studied in detail. Well explained SWOT analysis, revenue share, and contact information are shared in this report analysis.

Get the PDF Sample Copy (Including FULL TOC, Graphs, and Tables) of this report @:

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Top Key Players Profiled in this report are:

Aidoc, AliveCor, GE Healthcare, Imagen Technologies, Vuno Inc., IDx Technologies Inc., Siemens Healthcare GmbH, Neural Analytics, Riverain Technologies,, Zebra Medical Vision

The key questions answered in this report:

Various factors are responsible for the markets growth trajectory, which are studied at length in the report. In addition, the report lists down the restraints that are posing threat to the global Artificial Intelligence in Diagnostics market. It also gauges the bargaining power of suppliers and buyers, threat from new entrants and product substitute, and the degree of competition prevailing in the market. The influence of the latest government guidelines is also analyzed in detail in the report. It studies the Artificial Intelligence in Diagnostics markets trajectory between forecast periods.

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Regions Covered in the Global Artificial Intelligence in Diagnostics Market Report 2022: The Middle East and Africa (GCC Countries and Egypt) North America (the United States, Mexico, and Canada) South America (Brazil etc.) Europe (Turkey, Germany, Russia UK, Italy, France, etc.) Asia-Pacific (Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia)

The cost analysis of the Global Artificial Intelligence in Diagnostics Market has been performed while keeping in view manufacturing expenses, labor cost, and raw materials and their market concentration rate, suppliers, and price trend. Other factors such as Supply chain, downstream buyers, and sourcing strategy have been assessed to provide a complete and in-depth view of the market. Buyers of the report will also be exposed to a study on market positioning with factors such as target client, brand strategy, and price strategy taken into consideration.

The report provides insights on the following pointers:

Market Penetration: Comprehensive information on the product portfolios of the top players in the Artificial Intelligence in Diagnostics market.

Product Development/Innovation: Detailed insights on the upcoming technologies, R&D activities, and product launches in the market.

Competitive Assessment: In-depth assessment of the market strategies, geographic and business segments of the leading players in the market.

Market Development: Comprehensive information about emerging markets. This report analyzes the market for various segments across geographies.

Market Diversification: Exhaustive information about new products, untapped geographies, recent developments, and investments in the Artificial Intelligence in Diagnostics market.

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If you have any special requirements, please let us know and we will offer you the report as you want.

About Us:

Research Cognizance is an India-based market research Company, registered in Pune. Research Cognizance aims to provide meticulously researched insights into the market. We offer high-quality consulting services to our clients and help them understand prevailing market opportunities. Our database presents ample statistics and thoroughly analyzed explanations at an affordable price.

Contact Us:

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Artificial Intelligence in Diagnostics Market Recovery and Impact Analysis Report Aidoc, AliveCor, GE Healthcare Queen Anne and Mangolia News -...

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Artificial Intelligence in Design and Art Market to Witness Growth Acceleration IBM, 99designs, Toptal Queen Anne and Mangolia News – Queen Anne and…

Artificial Intelligence in Design and Art Market research report is the new statistical data source added by Research Cognizance.

Artificial Intelligence in Design and Art Market is growing at a High CAGR during the forecast period 2022-2029. The increasing interest of the individuals in this industry is that the major reason for the expansion of this market.

Artificial Intelligence in Design and Art Market research is an intelligence report with meticulous efforts undertaken to study the right and valuable information. The data which has been looked upon is done considering both, the existing top players and the upcoming competitors. Business strategies of the key players and the new entering market industries are studied in detail. Well explained SWOT analysis, revenue share, and contact information are shared in this report analysis.

Get the PDF Sample Copy (Including FULL TOC, Graphs, and Tables) of this report @:

https://researchcognizance.com/sample-report

Top Key Players Profiled in this report are:

IBM, 99designs, Toptal

The key questions answered in this report:

Various factors are responsible for the markets growth trajectory, which are studied at length in the report. In addition, the report lists down the restraints that are posing threat to the global Artificial Intelligence in Design and Art market. It also gauges the bargaining power of suppliers and buyers, threat from new entrants and product substitute, and the degree of competition prevailing in the market. The influence of the latest government guidelines is also analyzed in detail in the report. It studies the Artificial Intelligence in Design and Art markets trajectory between forecast periods.

Get up to 30% Discount on this Premium Report @:

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Regions Covered in the Global Artificial Intelligence in Design and Art Market Report 2022: The Middle East and Africa (GCC Countries and Egypt) North America (the United States, Mexico, and Canada) South America (Brazil etc.) Europe (Turkey, Germany, Russia UK, Italy, France, etc.) Asia-Pacific (Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia)

The cost analysis of the Global Artificial Intelligence in Design and Art Market has been performed while keeping in view manufacturing expenses, labor cost, and raw materials and their market concentration rate, suppliers, and price trend. Other factors such as Supply chain, downstream buyers, and sourcing strategy have been assessed to provide a complete and in-depth view of the market. Buyers of the report will also be exposed to a study on market positioning with factors such as target client, brand strategy, and price strategy taken into consideration.

The report provides insights on the following pointers:

Market Penetration: Comprehensive information on the product portfolios of the top players in the Artificial Intelligence in Design and Art market.

Product Development/Innovation: Detailed insights on the upcoming technologies, R&D activities, and product launches in the market.

Competitive Assessment: In-depth assessment of the market strategies, geographic and business segments of the leading players in the market.

Market Development: Comprehensive information about emerging markets. This report analyzes the market for various segments across geographies.

Market Diversification: Exhaustive information about new products, untapped geographies, recent developments, and investments in the Artificial Intelligence in Design and Art market.

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If you have any special requirements, please let us know and we will offer you the report as you want.

About Us:

Research Cognizance is an India-based market research Company, registered in Pune. Research Cognizance aims to provide meticulously researched insights into the market. We offer high-quality consulting services to our clients and help them understand prevailing market opportunities. Our database presents ample statistics and thoroughly analyzed explanations at an affordable price.

Contact Us:

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Artificial Intelligence in Design and Art Market to Witness Growth Acceleration IBM, 99designs, Toptal Queen Anne and Mangolia News - Queen Anne and...

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This new AI algorithm could help flying cars survive windy days – Popular Science

Dealing with wind is a part of flying through the air. Crosswinds can pose a challenge for pilots to overcome as they bring their airliners in for landings, or on a smaller level, a gust can push a drone around its small section of airspace.

To give drones better maneuverability when flying in the wind, a team of engineers from CalTech have developed a deep neural networkan artificial intelligence toolto allow a drone to be agile in the presence of blowing air. In a video, the researchers show off a quadcopter drone that, thanks to this software, can pull off figure-eight maneuvers and fly through a small gate, all in the presence of 27-mph-wind in a wind tunnel.

The scientists first had to gather data to be able to train a neural network in order to make the flying machine pull off the stunts. It didnt take much: just 12 minutes of flight time. Thats very little data, reflects Michael OConnell, graduate student in the aerospace department at CalTech and one of the authors of a new study describing the work published Wednesday in the journal Science Robotics. This AI-driven work is called Neural-Fly, and it follows other similar work called Neural Lander and Neural-Swarm.

During training for this latest Neural-Fly experiment, the drone flew in a wind tunnel in the presence of six different wind speeds, with 13.4 mph being the fastest. We basically teach the drone, This is what it looks like when youre hit by 5-mph wind, 10-mph wind, OConnell says. The drone is able to learn what wind looks like, and then when we go fly our figure-eight test trajectory, it uses that experience, and it says, Ive seen this before.

From that data, the team created the deep neural network that then allowed their flying machine to be skilled at carrying out maneuvers in the same wind tunnel, like zooming through a gate in a figure-eight pattern or cruising through two gates in ellipse shape. The speed the drone experienced in testing were faster than what it had encountered in training: about 27 miles per hour. Thats the maximum wind speed this wind tunnel could produce, notes Guanya Shi, another author on the paper and grad student at CalTech. In addition to needing just a small amount of data, the software runs on just a Raspberry Pi, an inexpensive piece of computing equipment.

Soon-Jo Chung, a professor of aerospace and control and dynamics systems at CalTech, and coauthor on the same paper, says that the rate of errors that they see with the new system is between 2.5 4 times better when comparing it to the existing state of the art tech for precise drone flying. The deep neural network flying the drone also has adaptive control, Chung notes, calling it a breakthrough method. This means that the AI can respond adaptively to what happens in real time with the wind.

Chung sees applications for this machine-learning system when it comes to a future in which our skies could be filled with more drones. Companies like FedEx are looking into using large drones to help move packages from one spot to another, and Alphabet-owned Wing is delivering consumer goods via small drones in Texas. Meanwhile, other firms are working on electric flying machines that can carry humansthese are air taxis that can take off and land vertically. The plans for those range from craft designed to fly themselves autonomously with a passenger on board, to those currently planned around human pilots.

Drones that need to have an ultimate safety guarantee could benefit from software like this, Chung says. The ultimate example is obviously, the flying cars, because they have to carry human passengers.

We are hopefully making that future where we can have safe unmanned vehicles that can survive potentially any wind conditionstornadoes, hurricanes, and heavy storms, Chung adds. I cannot say that we can achieve that immediately using our Neural-Fly, but we are making one great step forward toward that goal.

After all, whether the drone is carrying packages or people, it needs to land safely on its pad, even if the wind is blowing in an unpredictable way. Without the promise of a safe landing, the mission might have to be scrubbed before it gets off the ground, or the flying machine rerouted to a different location if its already buzzing through the air.

Watch a short video on the tech, below:

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This new AI algorithm could help flying cars survive windy days - Popular Science

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Artificial Intelligence Technology Solutions (Stock Symbol: AITX) Is Driving The Future of AI and Robotics Innovation, Specializing in Security -…

With orders from Global Retailers, Colleges: Artificial Intelligence Technology Solutions, AITX is at the forefront of the AI and Robotics industry.

Key Highlights:

Artificial Intelligence and Robotic Solutions for Multiple Applications.

Expanding Sales Including Expectation of Large Orders from Global Small Box Retailer and other Operators.

Collaboration with Nightingale Security to Complete Autonomous Air and Ground Security Solution.

New Multi-Unit Order from Renowned East Coast Private College.

Security Robot Order Recently Received from New Dealer with Multiple Fortune 500 Business Relationships.

Artificial Intelligence Technology Solutions AITX is an innovator in delivering artificial intelligence-based solutions that empower organizations to gain new insight, solve complex challenges and fuel new business ideas. Through its next-generation robotic product offerings, the AITX RAD, RAD-M and RAD-G companies help organizations streamline operations, increase ROI, and strengthen the business.

AITX technology improves the simplicity and economics of patrolling and guard services and allows experienced personnel to focus on more strategic tasks. Customers augment the capabilities of existing staff and gain higher levels of situational awareness, all at drastically reduced cost. AITX solutions are well suited for use in multiple industries such as enterprises, government, transportation, critical infrastructure, education, and healthcare.

Video presentations of AITX advancements in AI and Robotics are available via YouTube: https://www.youtube.com/c/AITX-RAD/videos

AITX Subsidiary Robotic Assistance Devices Expects Large Orders from Global Small Box Retailers and other Operator:

On April 29th AITX announced it is awaiting final approval from a pair of significant pending orders. These 2 orders are expected after months of in-person meetings, trade show visits, site walks, and being fully vetted by the clients. The retailer is expected to initially deploy 8 ROSAs as a pilot program at 2 of their locations.

RAD Light My Way from AITX recently won 2 Secure Campus 2022 Awards from Campus Security & Life Safety Magazine. In October RAD Light My Way along with RADs ROSA won CBREs 2021 Best Workplace Experience Solution Award.

ROSA is a compact, self-contained, portable security and communication solution that can be deployed in about 15 minutes. Like other RAD solutions, it only requires power as it includes all necessary communications hardware. ROSAs AI-driven security analytics include human and vehicle detection, license plate recognition, responsive digital signage and audio messaging, and complete integration with RADs software suite notification and autonomous response library. Two-way communication is optimized for cellular, including live video from ROSAs dual high-resolution, full-color, always-on cameras.

AITX Subsidiary Robotic Assistance Devices and Nightingale Security Announce Complete Autonomous Air and Ground Security Solution :

On April 27th AITX announced it will offer special features to its ground-based security robots based on a collaboration with Nightingale Security. Nightingale Security develops fully autonomous, 24/7 physical security aerial drone systems equipped with real-time surveillance cameras & data-gathering sensors.

The result of this development will be the security and facility management industrys first integration of an aerial drone that is capable of being autonomously deployed by mobile or stationary security robot. Conversely, the integrated system will also allow for RADs mobile robot ROAMEO, and future RAD mobile solutions, to be dispatched by a Nightingale aerial drone. The companies confirmed that both organizations plan to offer the integrated solutions through their existing sales channels.

AITX Subsidiary Robotic Assistance Devices Receives Multiple ROSA Order from East Coast Private College:

On April 20th AITX announced an order for 5 ROSA security robots from a renowned private college on the East Coast. AITX confirmed that this order has been received through one of RADs largest authorized dealers. Details of the transaction have not been released due to non-disclosure agreements.

AITX also announced that the devices will be managed by RADs forthcoming incident management system. This cloud-based application advances RADs goal of replacing the security industrys disparate and obsolete user software and is offered by RAD at no additional cost. More than a dozen universities and colleges are actively considering AITX RAD Light My Way, along with multiple RAD devices per location.

Premier Protective Security Signed as New Dealer, Receives First Security Robot Order with Additional Units Expected:

On March 14th AITX announced Premier Protective Security, Inc. as a new authorized dealer, and has received an order for a ROSA security robot from this new dealer. Premier Protective Security is a minority-owned security personnel management company with nationwide engagement.

Premier Protective Security has existing relationships with multiple Fortune 500 companies. The initial ROSA order will be utilized for their demonstration purposes to clients and prospects.

RAD Light My Way an Integrated Facility and Campus Safety Application:

On March 10th AITX formally released RAD Light My Way, the first of its kind facility and campus safety solution where users can control the lighting and security conditions of their environment.

RAD Light My Way offers property management and campus security professionals a new and better way to address security. This breakthrough solution puts the power of security in the hands of employees, faculty, and students through the combination of affordable, smart, interactive technologies, a mobile app, and live remote monitoring and response services.

For more information on Artificial Intelligence Technology Solutions, Inc. (AITX) visit:

http://www.aitx.ai, stevereinharz.com, http://www.radsecurity.com and http://www.radlightmyway.com

DISCLAIMER: This article is purely for informational purposes and is not a recommendation in any way for buying or selling stocks

Media ContactCompany Name: Artificial Intelligence Technology Solutions Inc.Contact Person: Steve ReinharzEmail: Send EmailPhone: 702-990-3271Country: United StatesWebsite: http://www.radlightmyway.com

Press Release Distributed by ABNewswire.com

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