Category Archives: Artificial Intelligence

Redding, California, Sept. 08, 2022 (GLOBE NEWSWIRE) -- According to a new market research report titled, Artificial Intelligence in Genomics Market by Offering (Software, Services), Functionality (Sequencing, Gene Editing), Application (Diagnostics, Precision Medicine, Drug Discovery and Development), Delivery Mode (On-premise, Cloud) and End User - Global Forecast to 2029.' published by Meticulous Research, AI in genomics market is expected to grow at a CAGR of 42.8% during the forecast period 20222029 to reach $6.22 billion by 2029.

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Artificial intelligence (AI) has tremendous potential in genomics. AI or machine learning (ML) helps to improve understanding of the hidden patterns in complex and large genomics data sets from clinical and research projects. AI in genomics helps identify the genetic disorders and the primary kind of cancer, predict the specific diseases progress in a patient, identify disease-causing genomic variants, and improve the function of gene editing tools.

Impact of COVID-19 on the Artificial Intelligence in Genomics Market

The COVID-19 pandemic has positively impacted the AI in genomics market. The pandemic led to increased investments by pharmaceutical manufacturers to support R&D in COVID-19 vaccine development. In the COVID-19-related research, the integration of AI in genomics plays a significant role in identifying the virus origin, behavior, and structure of SARS-CoV-2, which helps to develop new vaccines or drug therapies. To meet the growing market needs in light of the pandemic, market players developed AI tools to accelerate research on COVID-19. For instance, in May 2020, the NVIDIA Corporation (U.S.) expanded NVIDIA Clara Healthcare Platform offerings to help the medical community better track, treat, and test COVID-19.

The global AI in genomics market study is segmented based on offering (software, services), delivery mode (on-premises, cloud-based/web-based), functionality (genome sequencing, gene editing, other functionalities), application (drug discovery and development, precision medicine, diagnostics, and other applications), end user (pharmaceutical & biopharmaceutical companies, research institutes & academics, and other end users), and geography. The study also evaluates industry competitors and analyzes their market share at global and regional levels.

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Based on offering, in 2022, the software segment is estimated to account for the largest share of the global AI in genomics market. Increased use of AI in genomics software by the pharmaceutical & biotechnology companies for drug discovery and precision medicine is a key factor driving the market. Integrating AI in genomics helps pharmaceutical manufacturers analyze and identify genomic data to reduce the turnaround time for discovery. The rising burden of infectious and non-infectious diseases has increased the responsibility of pharmaceutical manufacturers for new drug development. A large number of molecules in the clinical pipeline are driving the demand for AI in genomics software for drug discovery.

Based on delivery mode, the cloud-based segment is estimated to register the highest CAGR during the forecast period. Advantages offered by cloud-based models, such as high security, affordability, and scalability, are increasing the adoption of cloud-based models in AI in genomics. The adoption of cloud-based models eliminates the need for capital expenditure incurred in creating and maintaining in-house computer clusters. The cloud-based models also offer increased scalability to process large sample data sets.

Based on functionality, in 2022, the genome sequencing segment is estimated to account for the largest share of the global AI in genomics market. The integration of AI in genomics accelerates the speed of genome sequencing to identify genetic patterns. This speeds up the drug discovery process as genome sequencing provides a great understanding of the disease, further ensuring efficacy, safety, and success in drug development. Additionally, the increased demand for genome sequencing during COVID-19 from researchers and medical experts to understand genetic variants has driven the market.

Based on application, in 2022, the drug discovery and development segment is estimated to account for the largest share of the global AI in genomics market. The key factors attributing to the largest share are the growing demand for new and innovative therapies to combat rising chronic or infectious diseases and growing collaborations among the pharmaceutical/ biotechnology companies and market players offering AI in genomics solutions. The integration of AI in genomics accelerates drug discovery, thereby reducing the turnaround time to get the drug on the market.

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Based on end user, in 2022, the pharmaceutical and biopharmaceutical companies segment is expected to account for the largest share of the global AI in genomics market. Pharmaceutical & biopharmaceutical companies are increasingly relying on AI algorithms to identify disease-causing mutations, design therapeutic targets, and identify appropriate treatment regimens. The increasing pressure on the pharmaceutical companies to reduce the operational cost of drug manufacturing and the subsequent rising prevalence of chronic and infectious diseases are the key factors driving the adoption of AI in the pharmaceutical & biopharmaceutical companies for drug discovery.

Based on geography, in 2022, North America is estimated to account for the largest share of the AI in genomics market, followed by Europe and Asia-Pacific. The U.S. is estimated to account for the largest share of the AI in genomics market in North America in 2022. The market is primarily driven by increasing public and private investment in genomics and the growing adoption of AI solutions in precision medicine to meet the increasing market demand.

The report also includes an extensive assessment of the key strategic developments of leading market participants in the industry over three years (20192022). In the last couple of years, the global AI in genomics market has witnessed collaborations and product launches. For instance:

Some of the key players operating in the global AI in genomics market are Microsoft Corporation (U.S.), NVIDIA Corporation (U.S.), Deep Genomics (Canada), Fabric Genomics, Inc. (U.S.), Data4Cure, Inc. (U.S.), Predictive Oncology Inc. (U.S.), Emedgene (U.S.), Congenica Ltd. (U.K.), Tempus (U.S.), SOPHiA GENETICS (Switzerland).

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Scope of the Report:

Artificial Intelligence in Genomics Market, by Offering

Artificial Intelligence in Genomics Market, by Delivery Mode

Artificial Intelligence in Genomics Market, by Functionality

Note: Other functionalities include pharmacogenomics and predictive gene testing.

Artificial Intelligence in Genomics Market, by Application

Note: Other applications include agriculture, pharmacology, and animal health.

Artificial Intelligence in Genomics Market, by End User

Note: Other end users include contract research organizations and agriculture companies.

Artificial Intelligence in Genomics Market, by Geography

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About Meticulous Research

Meticulous Research was founded in 2010 and incorporated as Meticulous Market Research Pvt. Ltd. in 2013 as a private limited company under the Companies Act, 1956. Since its incorporation, the company has become the leading provider of premium market intelligence in North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa.

The name of our company defines our services, strengths, and values. Since the inception, we have only thrived to research, analyze, and present the critical market data with great attention to details. With the meticulous primary and secondary research techniques, we have built strong capabilities in data collection, interpretation, and analysis of data including qualitative and quantitative research with the finest team of analysts. We design our meticulously analyzed intelligent and value-driven syndicate market research reports, custom studies, quick turnaround research, and consulting solutions to address business challenges of sustainable growth.

Contact:Mr.Khushal BombeMeticulous Market Research Inc.1267WillisSt,Ste200 Redding,California,96001, U.S.USA: +1-646-781-8004Europe : +44-203-868-8738APAC: +91 744-7780008Email-sales@meticulousresearch.comVisit Our Website:https://www.meticulousresearch.com/Connect with us on LinkedIn-https://www.linkedin.com/company/meticulous-researchContent Source: https://www.meticulousresearch.com/pressrelease/571/artificial-intelligence-in-genomics-market-2029

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Artificial Intelligence in Genomics Market Worth $6.22 Billion by 2029 - Exclusive Report by Meticulous Research - GlobeNewswire

NEW YORK & LONDON--(BUSINESS WIRE)--Cerberus Capital Management, L.P. (together with its affiliates, Cerberus) today announced that Ilya Feige, Ph.D., has joined as Global Head of Artificial Intelligence and Machine Learning for Cerberus Technology Solutions (CTS).

Launched in 2018, CTS is an operating subsidiary of Cerberus focused exclusively on applying leading technologies and advanced analytics to drive business transformations. Today, CTS has more than 80 in-house and partner technologists organized across practice areas, including technology strategy, digital and e-Commerce, solutions architecture, data management and operations, advanced analytics and business intelligence, and cyber security. Dr. Feige will lead the platforms artificial intelligence (AI) and machine learning (ML) practice to apply data-driven solutions across Cerberus portfolio of investment as well as analyze value creation opportunities during diligence processes.

Our platform brings together top experts across the technology and data domains that are fundamental to an organizations operations and growth, said Ben Sylvester, Chief Executive Officer of CTS. Beyond his expertise, Ilya has an impressive track record of harnessing data to apply innovative solutions. We are excited for the global impact he will have on our partners in helping to unlock value across their businesses.

Dr. Feige was an executive with Faculty, one of Europes leading AI companies, and most recently served as Director of AI. During his tenure, he founded the companys AI research lab and subsequently built and led a team of 25 applied AI and ML practitioners. In this role, he spearheaded the expansion of Facultys AI platform and go-to-market strategy. Dr. Feige graduated McGill University with the highest honors and received a Ph.D. in Theoretical Physics from Harvard University, where he was awarded the Goldhaber Prize as the top Ph.D. student in physics. He has authored several peer-reviewed publications on AI safety, ML, and physics.

Dr. Feige commented: The use of technology is only becoming more critical to companies across all industries and Ive seen firsthand how the right technical solutions can be transformative to an organizations performance. CTS is a world-class platform that is truly unique. Their integration and deployment of technology expertise at scale helps partners not only improve their businesses, but also become more competitive. Im looking forward to joining this great team and the broader Cerberus family.

John Tang, Head of EMEA for CTS, added: We are thrilled to welcome Ilya to our CTS team. This addition underscores our platforms commitment to integrating cutting edge capabilities, including in next generation AI/ML technologies.

About CerberusFounded in 1992, Cerberus is a global leader in alternative investing with approximately $60 billion in assets across complementary credit, private equity, and real estate strategies. We invest across the capital structure where our integrated investment platforms and proprietary operating capabilities create an edge to improve performance and drive long-term value. Our tenured teams have experience working collaboratively across asset classes, sectors, and geographies to seek strong risk-adjusted returns for our investors. For more information about our people and platforms, visit us at http://www.cerberus.com.

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Ilya Feige Joins Cerberus Technology Solutions as Global Head of Artificial Intelligence and Machine Learning - Business Wire

Artificial intelligence is making big waves in the world of art, with savvy creators turning to the technology to build images like never before. Curious how an artificial intelligence would approach building images of Colorado, we plugged a few Centennial State-themed prompts into our AI program. Here's what we got:

Note: You'll notice these images look kind of like the place they're supposed to depict, but not quite. The artificial intelligence program does its best to create sometimes it hits the mark and sometimes it doesn't (...the Boulder Flatirons collection is a good example of that).

These images were created using a program called Stable Diffusion and are completely unique images compared to anything else found online, originating from our direct input of prompting.

1. Garden of the Gods

2. Black Canyon of the Gunnison

3. Denver

4. The Boulder Flatirons

5. Pikes Peak

6. Breckenridge

7. The Great Sand Dunes

8. Telluride

9. Maroon Bells

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Artificial intelligence created these images of iconic Colorado scenes - Out There Colorado

New Jersey, United States, Sept. 4, 2022 /DigitalJournal/ AI in real estate can also allow companies to know the best time to buy or sell a property and forecast future sale or rental prices. You can also employ a regression algorithm that considers property characteristics such as size, age, number of rooms, and home decor to arrive at a workable price range. AI in real estate can help prospects make the right decisions by narrowing their search down to fewer key criteria. This is because AI real estate suggestion engines work the same way as other product suggestion engines, such as the recently launched Amazon Personalize.

The Artificial Intelligence (AI) in Real Estate Market research report provides all the information related to the industry. It gives the markets outlook by giving authentic data to its client which helps to make essential decisions. It gives an overview of the market which includes its definition, applications and developments, and manufacturing technology. This Artificial Intelligence (AI) in Real Estate market research report tracks all the recent developments and innovations in the market. It gives the data regarding the obstacles while establishing the business and guides to overcome the upcoming challenges and obstacles.

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Competitive landscape:

This Artificial Intelligence (AI) in Real Estate research report throws light on the major market players thriving in the market; it tracks their business strategies, financial status, and upcoming products.

Some of the Top companies Influencing this Market include: IBM, Cape Analytics, Baidu Inc., Engel & Volkers, Skyline AI, PwC

Market Scenario:

Firstly, this Artificial Intelligence (AI) in Real Estate research report introduces the market by providing an overview that includes definitions, applications, product launches, developments, challenges, and regions. The market is forecasted to reveal strong development by driven consumption in various markets. An analysis of the current market designs and other basic characteristics is provided in the Artificial Intelligence (AI) in Real Estate report.

Regional Coverage:

The region-wise coverage of the market is mentioned in the report, mainly focusing on the regions:

Segmentation Analysis of the market

The market is segmented based on the type, product, end users, raw materials, etc. the segmentation helps to deliver a precise explanation of the market

Market Segmentation: By Type

Machine Learning, Natural Language Processing (NLP), Computer Vision

Market Segmentation: By Application

Large Enterprises, Small and Mid-sized Enterprises (SMEs)

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An assessment of the market attractiveness about the competition that new players and products are likely to present to older ones has been provided in the publication. The research report also mentions the innovations, new developments, marketing strategies, branding techniques, and products of the key participants in the global Artificial Intelligence (AI) in Real Estate market. To present a clear vision of the market the competitive landscape has been thoroughly analyzed utilizing the value chain analysis. The opportunities and threats present in the future for the key market players have also been emphasized in the publication.

This report aims to provide:

Table of Contents

Global Artificial Intelligence (AI) in Real Estate Market Research Report 2022 2029

Chapter 1 Artificial Intelligence (AI) in Real Estate Market Overview

Chapter 2 Global Economic Impact on Industry

Chapter 3 Global Market Competition by Manufacturers

Chapter 4 Global Production, Revenue (Value) by Region

Chapter 5 Global Supply (Production), Consumption, Export, Import by Regions

Chapter 6 Global Production, Revenue (Value), Price Trend by Type

Chapter 7 Global Market Analysis by Application

Chapter 8 Manufacturing Cost Analysis

Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers

Chapter 10 Marketing Strategy Analysis, Distributors/Traders

Chapter 11 Market Effect Factors Analysis

Chapter 12 Global Artificial Intelligence (AI) in Real Estate Market Forecast

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Artificial Intelligence (AI) in Real Estate Market Scope and overview, To Develop with Increased Global Emphasis on Industrialization 2029 | IBM, Cape...

LONDON, Sept. 07, 2022 (GLOBE NEWSWIRE) -- According to The Business Research Companys research report on the music streaming market, artificial intelligence and machine learning in music streaming devices are the key trends in the music streaming market. Technologies like artificial intelligence and Machine learning enhance the music streaming experience by increasing storage and improving the search recommendations, improving the overall experience.

For instance, in January 2022, Gaana, an India-based music streaming app introduced a new product feature using artificial intelligence to enhance the music listening experience for its listeners. The app will modify music preferences using artificial intelligence to suit a person's particular occasion or daily mood.

Request for a sample of the global music streaming market report

The global online music streaming market size is expected to grow from $24.09 billion in 2021 to $27.24 billion in 2022 at a compound annual growth rate (CAGR) of 13.08%. The global music streaming market share is expected to grow to $45.31 billion in 2026 at a compound annual growth rate (CAGR) of 13.57%.

The increasing adoption of smart devices is expected to propel the growth of the music streaming market. Smart devices such as smartphones, and smart speakers have changed the way of listening to music. They include smart features like the ability to set alarms, play music on voice command, control smart devices in-home, and stream live music, as they are powered by a virtual assistant. For instance, according to statistics from Amazon Alexa 2020, nearly 53.6 million Amazon Echo speakers (smart speakers) were sold in 2020 which increase to 65 million in 2021. Therefore, the increasing adoption of smart devices will drive the music streaming market growth.

Major players in the music streaming market are Amazon, Apple, Spotify, Gaana, SoundCloud, YouTube Music, Tidal, Deezer, Pandora, Sirius XM Holdings, iHeartRadio, Aspiro, Tencent Music Entertainment, Google, Idagio, LiveXLive, QTRAX, Saavn, Samsung, Sony Corporation, TuneIn, JOOX, NetEase, Kakao and Times Internet.

The global music streaming market is segmented by service into on-demand streaming, live streaming; by content into audio, video; by platform into application-based, web-based; by revenue channels into non-subscription, subscription; by end-use into individual, commercial.

North America was the largest region in the music streaming market in 2021. The regions covered in the global music streaming industry analysis are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa.

Music Streaming Global Market Report 2022 Market Size, Trends, And Global Forecast 2022-2026 is one of a series of new reports from The Business Research Company that provide music streaming market overviews, music streaming market analyze and forecast market size and growth for the whole market, music streaming market segments and geographies, music streaming market trends, music streaming market drivers, music streaming market restraints, music streaming market leading competitors revenues, profiles and market shares in over 1,000 industry reports, covering over 2,500 market segments and 60 geographies.

The report also gives in-depth analysis of the impact of COVID-19 on the market. The reports draw on 150,000 datasets, extensive secondary research, and exclusive insights from interviews with industry leaders. A highly experienced and expert team of analysts and modelers provides market analysis and forecasts. The reports identify top countries and segments for opportunities and strategies based on market trends and leading competitors approaches.

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Music Recording Global Market Report 2022 By Type (Record Production, Music Publishers, Record Distribution, Sound Recording Studios), By Application (Mechanical, Performance, Synchronization, Digital), By End-User (Individual, Commercial), By Genre (Rock, Hip Hop, Pop, Jazz) Market Size, Trends, And Global Forecast 2022-2026

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The Business Research Company is a market intelligence firm that excels in company, market, and consumer research. Located globally it has specialist consultants in a wide range of industries including manufacturing, healthcare, financial services, chemicals, and technology.

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The Adoption of Artificial Intelligence And Machine Learning In The Music Streaming Market Is Gaining Popularity As Per The Business Research...

Artificial intelligence continues to evolve and it is now being used to create an entire feature movie on its own.

By Nathan Kamal| Published 6 days ago

The advent of artificial intelligence promises to change nearly every aspect of human existence, so it makes sense that we will begin with our movie-going experience. We joke, of course. Artificial intelligence has already been here for some time and is constantly growing and changing in unexpected (but often regrettably racist) ways, so its not like filmmaking was first on the docket for this sea change in technology. However, people are beginning to experiment with just how they can use this new aspect of computer technology to create art and a German entrepreneur thinks he has found at least one way.

According to The Byte, German tech entrepreneur Fabian Stelzer is working to create an (almost) entirely artificial intelligence-made movie titled Salt. By using freely available online image-generating software like Midjourney, DALL-E 2, and Stable Diffusion and voice-generators like Murf, Stelzer is building a science fiction movie in serial installments. Basically, Stelzer gives text prompts to these artificial intelligence programs, they build images and voices, and those are edited together to create a narrative. Stelzer views it as a community choice driven story, in which the suggestions of viewers are used to build the next step of the plot. In a sense, it is similar to a Choose Your Own Adventure story, except that rather than human ghostwriters under the employ of Bantam Books, artificial intelligence is creating imagery that feeds to human imagination, which loops it back to the machines for the next step. Neat, right? You can actually see part of what is being developed here:

Salt appears to take its visual cues from lo-fi science fiction films of the 1970s like Silent Running and Dark Star. In particular, it has some real vibes of the original Ridley Scott Alien. From what can be seen from the artificial intelligence-generated footage, Salt appears to be centered on a group of space explorers (possibly some kind of miners or industrial workers, as in Alien) discovers a planet with overwhelming lodes of salt. There are flashes of ships floating in orbit, dark caverns full of mineral deposits, and some real spooky stuff. All of the voices (except Fabian Stelzers) are artificial intelligence-derived, which makes all of this a fascinating look.

As of right now, the artificial intelligence tools being used to make Salt can only work in still images, so it is not exactly a motion picture. However, there is certainly a history of science fiction films that take advantage of the still image (just ask 12 Monkeys), so that does not necessarily detract from what is being done here.

Given that Fabian Stelzer is described as an entrepreneur, it should be no surprise that he describes the project in overwhelmingly hyperbolic terms. Speaking to PCMag, Stelzer describes the experiment as part of a movement in artificial intelligence that rivals the development of photography itself. Not to speak in small terms, he says it might even be akin to the development of the written word, ie, the foundation of most of civilization. But even taking that with a grain of you know what, Salt looks pretty cool.

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Artificial Intelligence Is Being Used To Make A Movie - Giant Freakin Robot

WEST FARGO, N.D. If a farmer didn't have to spray his entire field but could instead target weeds at their earliest stage and stop infestations before they start, the cost savings could be immense. Plus, consumers increasingly want less herbicides and other chemical applications applied to food crops, and agriculture continues to strive to be more environmentally friendly.

Dr. Rex Sun, an assistant professor in the department of Agriculture and Biosystems Engineering at North Dakota State University, and his team will have a new technology on display at the 2022 Big Iron Farm Show, Sept. 13-15 in West Fargo, that they think will accomplish those goals a remote control "weedbot" that uses artificial intelligence and robotics to perform site specific weed management.

The daily demonstrations at 1 p.m. will involve bringing real weeds from an NDSU greenhouse and showing how the robot identifies and eliminates them.

"Right now, the farmers are spraying weeds on the whole field, but we don't want to do that," Sun said. "So hopefully by using our precision agriculture technologies like robotics and AI, they can use this robot and identify the early stage and make that solution right on the spot so we don't have to spray the whole field."

The robot is in proof-of-concept stage, and there are improvements left to be made, Sun said, noting that a robot that uses mechanical means to eliminate weeds or systems that look for pests and disease are possible, too.

"This kind of platform, it can customize depending on what kind of applications the farming industry needs," he said.

While the robot is not autonomous, that is another possibility down the road, he said.

John Nowatzki, a retired agricultural machine systems specialist at NDSU who serves on the Big Iron Committee, said another demonstration will be a repeat from last year, with Titan Machinery and Raven Industries showing off their autonomous grain cart technologies . The demonstration will be west of the food court this year, because the space south of the racetrack used in the past is now a corn maze.

Hundreds of vendors also will be on hand at Big Iron, and many are preparing to show off new products or explain popular existing ones.

Nick Chiodo, marketing manager at Crary Industries, said Crary will have their Wind System on display for those who haven't seen it and experts to explain it. The system is an attachment for a soybean header that reduces shatter loss and feeds the combine more evenly through the blowing of high velocity air. Chiodo said the system can increase bushels per acres by as much as 5, with configurations that fit on most brand-name headers.

"Anywhere that grows soybeans, we're probably out there," he said.

They'll also have information and experts on their Revolution Ditcher, for use in cleaning out water ways, ditches or terraces. Chiodo said they'll have the "latest and greatest" on that in their booth.

Crary is planning a Dec. 15 event called Full Pod, which will feature famous farm YouTubers. For the cost of their ticket, attendees at that event will get dinner, a hooded sweatshirt, a grab bag and a chance to win door prizes, as well as opportunities to interact with the YouTubers and other farmers. Chiodo said anyone who has registered for the event can show their ticket at the booth and be entered to win a Grizzly cooler with the Full Pod log.

Big Iron is a must for Crary, Chiodo said. Crary is located close at hand to the fairgrounds.

"It's right across the street from us," he said. "It's our backyard."

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Big Iron Farm Show demonstration will show the potential of artificial intelligence and robotics in ag - Agweek

Stretched over 344,000 square kilometres, the Great Barrier Reef in Australia is the biggest coral reef system in the world and an important marine biodiversity hotspot. But, the natural wonder that can be seen from space is in poor health. Now, researchers are looking to leverage citizen science crowdsourcing and artificial intelligence to help plan conservation efforts better.

According to a study published in 2012, the Great Barrier Reef has lost over half its coral since 1985. Added to that, climate change has caused the reef to suffer from various bleaching events, or when the coral expels the algae living in its tissue due to the water being too warm. When coral reefs bleach, they are not yet dead. They can still recover if conditions improve, but it is estimated that it takes them up to 12 years.

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While conservation efforts are ongoing for the Great Barrier Reef, there is another issue. The sheer size of the reef system and the land that it occupies means that these efforts can only be focused on small sections. According to Andy Ridley, CEO and founder of Citizens of Great Barrier Reef, which conducts the Great Reef Census, researchers have only been able to monitor around five to ten per cent of the 3,000 individual reefs in the system in the past. This makes informed conservation decisions difficult.

The Great Reef Census helps solve this issue by using thousands of images captured by volunteers on dive boats, tourism vessels, yachts, fishing charters, and tug boats to survey images from the Reef. It then uses these images to understand the health of the reefs and to identify the locations where conservation efforts must be focused. As part of the project, researchers from the University of Queensland, Dell Technologies, and other organisations have partnered to leverage artificial intelligence and crowdsourcing to help understand the reef better. Two Great Reef censuses have already been conducted.

In the second census, the researchers first crowdsourced over 40,000 images of coral in the Great Barrier Reef from thousands of volunteers. Then, the challenge was tagging and identifying the coral species within the images to see which ones needed to be studied by marine biologists. Volunteers then tagged and identified various different coral species, which turned out to be a time-consuming process.

That is where the deep learning model developed by Dell Technologies came in. Using this data from the volunteers, Dell trained a deep learning model to analyse every pixel in an image to classify the reel and coral infrastructure.

The deep learning model first identifies which part of the image contains coral. And then, it is able to classify them if they belong to five selected species of coral. It is limited to five right now to maintain accuracy. This data, combined with the location data of the image can provide researchers with a snapshot of what kind of corals exist where. The researchers can then ascertain the health of the coral from selected images. They can then use this data to prioritise which reef must be conserved first, said Aruna Kolluru, chief technologist, Emerging Technology at Dell, to indianexpress.com over a video interaction.

This means that the deep learning model can take on the repetitive and tedious task of identifying and classifying the coral, freeing up volunteers for tasks that still require human input. These images can be analysed by marine biology experts if necessary based on this identification and classification. Currently, the model takes one minute to analyse an image.

According to Dells Kolluru, the deep learning model can further be improved to not only analyse images more accurately but to also be able to identify more species of coral. But for that, it needs to be trained on much larger numbers of images and data points.

For example, if you want to train a model to identify a car, you need to train it on many different kinds of images. It could be images of different parts of the car, like the tyres or the doors. It would also need to be trained on images of cars from different angles and with different lighting conditions. With all this data on how a car looks like in different images, it will better understand how to identify a car, explained Kolluru.

As the model develops further, researchers envision using it to protect other reef systems globally. We hope to expand the Census globally and build on the globally-available Allen coral atlas so that everyone can develop data on the most ecologically important reefs in their jurisdiction. The deep learning model will help standardise and support the ability of citizens to map the state of reefs worldwide, said Peter Mumby, a coral reef ecologist at the University of Queensland, to indianexpress.com over email. Mumby is part of the Great Reef Census team.

Ridley of Citizens of Great Barrier Reef told indianexpress.com that the third Great Reef Census will kick off in October. As the researchers develop the censuss methods, they are also ensuring these methods and technology are scalable and can be used to conduct similar research with other reef systems across the globe.

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Using citizen science and artificial intelligence to help conserve the Great Barrier Reef - The Indian Express

HOLLYWOOD, Fla.--(BUSINESS WIRE)--Great Speech, a pioneer and leader in virtual speech therapy, today announces patient matching Artificial Intelligence (AI) technology to optimize pairing patients with the most qualified speech therapists in our network for a patients specific condition. The AI technology considers multiple data points to create the best-indicated therapy/patient care partnership to provide more specialized care, more focused therapy and faster results in a shorter timeframe.

"We take pride in our ability to match each patient to the most qualified therapist with expertise in that specific diagnosis, says Avivit Ben-Aharon M.S. Ed, M.A. CCC-SLP, founder and clinical director, Great Speech. Drawing on our extensive network of more than 200 licensed speech therapists in 45 states, our technology identifies the therapist who has relevant specialty training, experience and distinct strengths to provide an optimal patient experience.

Each speech therapist in the Great Speech network has subspecialty training in particular aspects of a communication disorder. The AI technology platform works much like a primary care provider referring a patient to a specific medical specialist with expertise treating a particular condition.

AI is a valuable tool we now have to deliver the best care for our patients, explains Ben-Aharon. If a Medicare Advantage member with Parkinsons is learning to strengthen the muscles used for swallowing and speaking, they have a different need than a patient with Alzheimers disease who is working to manage memory deficits or teenagers who stutter and are working on improving the ability to express themselves.

AI is being rapidly adopted by healthcare leaders for efficient diagnosis and safer services. Great Speech patients benefit from more objective assessment and personalized therapy with AI assist. As an early adopter of treatment technology, Great Speech expects that AI will offer significant advantages for patients and help improve outcome in the future.

About Great Speech Inc.Great Speech Inc. is the pioneer and recognized leader in virtual speech therapy, and since 2014 has delivered convenient, specialized services to clients anytime, anywhere. Its innovative approach leverages technology to match credentialed therapists with children, adults and seniors who need and seek better speech communication. Proud recipient of the Womens Business Enterprise National Council (WBENC) certification. http://www.greatspeech.com

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Great Speech Develops Artificial Intelligence Platform to Refine Matching Process Between Patients and Most Qualified Speech Therapist - Business Wire

Chicago, Sept. 01, 2022 (GLOBE NEWSWIRE) -- Artificial Intelligence (AI) Robots Marketby Robot Type (Service, and Industrial), Technology (Machine Learning, Computer Vision, Context Awareness, and NPL), Offering, Application, and Geography (2021-2026)", Players profiled in this report are SoftBank (Japan), NVDIA (US), Intel (US), Microsoft (US), IBM (US), Hanson Robotics (China), Alphabet (US), Xilinx (US), ABB (Switzerland), Fanuc (Japan), Alphabet (US), Harman International (US), Kuka (Germany), Blue Frog Robotics (Paris).

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Browse in-depth TOC on Artificial Intelligence (AI) Robots Market178 - Tables81- Figures253 Pages

NVIDIA develops GPUs and delivers value to its consumers through PC, mobile, and cloud architectures. From focus on PC graphics, the company now emphasizes machine learning and various other AI technologies. NVIDIA addresses four large markets: gaming, visualization, data center, and automotive. NVIDIA has two reportable segments: Graphics and Compute & Networking. The Graphics segment includes GeForce GPUs for gaming and PCs, the GeForce NOW game-streaming service and related infrastructure, and solutions for gaming platforms; Quadro/NVIDIA RTX GPUs for enterprise design; GRID software for cloud-based visual and virtual computing; and automotive platforms for infotainment systems.

Intel provides computing, networking, data storage, and communication solutions worldwide. The company designs and develops key products and technologies that power the cloud and smart, connected world. Intel delivers computer, networking, and communication platforms to a broad set of customers, including OEMs, original design manufacturers (ODMs), cloud and communications service providers, and industrial, communications, and automotive equipment manufacturers. The company manufactures semiconductor chips, supplies the computing and communications industries with chips, boards, systems, and software that are integral in computers, servers, and networking and communications products.

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This research report categorizes the AI Robots market based on offering, robot type, technology, deployment mode, application and region.

AI Robots Market, by offering

AI Robots Market, by Robot Type

AI Robots Market, by Technology

AI Robots Market, by Deployment mode

AI Robots Market, by Application

Implementing automation technology and installing industrial robots throughout the production processes has helped industrial businesses enable human employees to dedicate more time to other demanding projects. This has improved quality, reduced risks for associates with dangerous tasks, and lowered the overall operational costs. As labor costs rise, automation technologies come as alternate options. Robots help complete monotonous tasks more quickly and consistently than humans.

With the adoption of technologies such as cloud computing, robots are now becoming networked. For instance, Ozobot & Evollve (US) offers Evo, which is equipped with OzoChat software for worldwide messaging between Evo robots. These networked robots can potentially be hacked, and their abilities can be adversely used. Also, global military & defense sector has started considering AI-based robots as a vital part of any military fleet.

AI-integrated robots are gaining traction with the increasing requirement of social robots to interact with humans and for assistance, among others. Assistant robots need to perform various tasks involving home security, patient care, companionship, and elderly assistance. Companies are now increasingly focusing on developing robots that are suitable for the entire family and excel in performing the abovementioned tasks.

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Artificial Intelligence in Manufacturing Market by Offering (Hardware, Software, and Services), Industry, Application, Technology (Machine Learning, Natural Language Processing, Context-aware Computing, Computer Vision), & Region (2022-2027)

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Artificial Intelligence (AI) Robots Market Projected to Reach worth $35.3 billion by 2026 Exclusive Report by MarketsandMarkets - GlobeNewswire