A new study finds that an artificial intelligence model can predict whether Crohns disease will recur after surgery.

A deep learning model trained to analyze histological images of surgical specimens accurately classified patients with and without Crohns disease recurrence, investigators report in The American Journal of Pathology.

According to researchers, more than 500,000 individuals in the United States have Crohns disease. Crohns disease is a chronic inflammatory bowel disease that damages the digestive system lining. It can cause digestive system inflammation, which may result in abdominal pain, severe diarrhea, exhaustion, weight loss, and malnutrition.

Many people end up needing surgery to treat their Crohns disease. Even after a successful operation, recurrence is common. Now, researchers are reporting that their AI tool is highly accurate at predicting the postoperative recurrence of Crohns disease. It also linked recurrence with the histology of subserosal adipose cells and mast cell infiltration.

Using an artificial intelligence (AI) tool that simulates how humans visualize and is trained to identify and categorize pictures, researchers created a model that predicts the postoperative recurrence of Crohns disease with high accuracy by evaluating histological images. The AI tool also identified previously unknown differences in adipose cells and substantial disparities in the degree of mast cell infiltration in the subserosa, or outer lining of the gut, when comparing individuals with and without disease recurrence. Elseviers The American Journal of Pathology published the findings.

The 10-year rate of postoperative symptomatic recurrence of Crohns disease, a chronic inflammatory gastrointestinal illness, is believed to be 40%. Although there are scoring methods to measure Crohns disease activity and the existence of postoperative recurrence, no scoring system has been devised to predict whether Crohns disease will return.

Sixty-eight patients with Crohns disease were classified according to the presence or absence of postoperative recurrence within two years. The investigators performed histological analysis of surgical specimens using deep learning EfficientNet-b5, a commercially available AI model designed to perform image classification. They achieved a highly accurate prediction of postoperative recurrence (AUC=0.995) and discovered morphological differences in adipose cells between the two groups. Credit: The American Journal of Pathology

Most of the analysis of histopathological images using AI in the past have targeted malignant tumors, explained lead investigators Takahiro Matsui, MD, Ph.D., and Eiichi Morii, MD, Ph.D., Department of Pathology, Osaka University Graduate School of Medicine, Osaka, Japan. We aimed to obtain clinically useful information for a wider variety of diseases by analyzing histopathology images using AI. We focused on Crohns disease, in which postoperative recurrence is a clinical problem.

The research involved 68 Crohns disease patients who underwent bowel resection between January 2007 and July 2018. They were divided into two groups based on whether or not they had postoperative disease recurrence within two years after surgery. Each group was divided into two subgroups, one for training and the other for validation of an AI model. Whole slide pictures of surgical specimens were cropped into tile images for training, labeled for the presence or absence of postsurgical recurrence, and then processed using EfficientNet-b5, a commercially available AI model built to perform image classification. When the model was tested with unlabeled photographs, the findings indicated that the deep learning model accurately classified the unlabeled images according to the presence or absence of disease occurrence.

Following that, prediction heat maps were created to identify areas and histological features from which the machine learning algorithm could accurately predict recurrence. All layers of the intestinal wall were shown in the photos. The heatmaps revealed that the machine learning algorithm correctly predicted the subserosal adipose tissue layer. However, the model was less precise in other regions, such as the mucosal and proper muscular layers. Images with the greatest accurate predictions were taken from the non-recurrence and recurrence test datasets. The photos with the greatest predictive results all had adipose tissue.

Because the machine learning model achieved accurate predictions from images of subserosal tissue, the investigators hypothesized that subserosal adipose cell morphologies differed between the recurrence and the non-recurrence groups. Adipose cells in the recurrence group had a significantly smaller cell size, higher flattening, and smaller center-to-center cell distance values than those in the nonrecurrence group.

These features, defined as adipocyte shrinkage, are important histological characteristics associated with Crohns disease recurrence, said Dr. Matsui and Dr. Morii.

The investigators also hypothesized that the differences in adipocyte morphology between the two groups were associated with some degree or type of inflammatory condition in the tissue. They found that the recurrence group had a significantly higher number of mast cells infiltrating the subserosal adipose tissue, indicating that the cells are associated with the recurrence of Crohns disease and the adipocyte shrinkage phenomenon.

To the investigators knowledge, these findings are the first to link postoperative recurrence of Crohns disease with the histology of subserosal adipose cells and mast cell infiltration. Dr. Matsui and Dr. Morii observed, Our findings enable stratification by the prognosis of postoperative Crohns disease patients. Many drugs, including biologicals, are used to prevent Crohns disease recurrence, and proper stratification can enable more intensive and successful treatment of high-risk patients.

Reference: Deep Learning Analysis of Histologic Images from Intestinal Specimen Reveals Adipocyte Shrinkage and Mast Cell Infiltration to Predict Postoperative Crohn Disease by Hiroki Kiyokawa, Masatoshi Abe, Takahiro Matsui, Masako Kurashige, Kenji Ohshima, Shinichiro Tahara, Satoshi Nojima, Takayuki Ogino, Yuki Sekido, Tsunekazu Mizushima and Eiichi Morii, 28 March 2022, The American Journal of Pathology.DOI: 10.1016/j.ajpath.2022.03.006

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Artificial Intelligence Model Can Successfully Predict the Reoccurrence of Crohns Disease - SciTechDaily

Artificial Intelligence Tech Solutions Inc (OTCMKTS: AITX) recently made a significant reversal off $0.0092 after months of downtrend. The stock was one of the biggest penny stock runners of 2021 skyrocketing from tiple zeroes to highs near $0.30 per share. Now that the stock is based at a fraction of its former value investors are starting to take notice. AITX is a really exciting Company, through its wholly owned subsidiary, Robotic Assistance Devices, Inc. (RAD), the Company is making moves in the $100 billion plus global security services market. RADs current goal is to disrupt and capture a significant portion of both the human security guard market (over $30 billion) and physical security (video surveillance, access control, visitor management, etc.) market (over $20 billion) through its innovative RAD solution ecosystem. AITX is an SEC filer and recently applied for up listing its shares to fully reporting OTCQB. AITX sales are on the rise with the Company doing over $100,000 a month in revenues during 2022 and growing quickly.

AITX has been very busy in recent weeks, besides the up listing to OTCQB, AITX signed a new authorized dealer and expects to receive an order for at least 8 ROSA security robots from the dealers largest client within days. With the addition of the new authorized dealer, RADs dealer network has expanded to well over 40, covering the US, Canada, the United Kingdom, and the European Union. The Company received an order from Civitas PSG, one of the largest security companies in Romania for an AVA (Autonomous Verified Access) access control device, and one ROSA (Responsive Observation Security Agent) robotic surveillance unit. This will be RADs first deployment in the European market for AVA. AITX also signed U.S. Secure Ventures (USSV) as a new authorized dealer and has received an order for a ROSA security robot from this new dealer. USSV is a commercial security services provider with offices in Dallas, TX growing from regional leader to a national authority in commercial and integrated security. Robotic Assistance Devices, Inc. (RAD) will host an event focused on public safety technology in New York City, Thursday June 30 at a location in lower Manhattan and time to be determined.

Artificial Intelligence Tech Solutions Inc (OTCMKTS: AITX) is a high-tech start-up that delivers robotics and artificial intelligence-based solutions that empower organizations to gain new insight, solve complex security challenges, and fuel new business ideas at reduced costs. RAD developed its advanced security robot technology from the ground up including circuit board design, and base code development. This allows RAD to have complete control over all design elements, performance, quality, and the users experience of all security robots whether SCOT, ROSA, Wally, Wally HSO, AVA, ROAMEO, or RAD Light My Way. AITX achieved SOC2 Type I certification in 2021 and is currently undergoing an audit required for Type II accreditation. Additional related certifications for GDPR, CE and ISO27001 are either underway or under consideration.

Artificial Intelligence Tech Solutions mission is to apply Artificial Intelligence (AI) technology to solve enterprise problems categorized as expensive, repetitive, difficult to staff, and outside of the core competencies of the client organization. RADs first industry focus is the more than $100 billion global security services market. RADs current goal is to disrupt and capture a significant portion of both the human security guard market (over $30 billion) and physical security (video surveillance, access control, visitor management, etc.) market (over $20 billion) through its innovative RAD solution ecosystem.

Robotic Assistance Devices, LLC was incorporated in the State of Nevada on July 26, 2016, as an LLC and was founded by current President Steve Reinharz. Mr. Reinharz, has 25+ years in various leadership/ownership roles in the security industry and was part of a successful exit to a global multinational security company in 2004. Mr. Reinharz started his first security integration company in 1996, which he grew to 30+ employees before closing that company in 2003. RADs first industry focus is the more than $100 billion global security services market.1 RADs current goal is to disrupt and capture a significant portion of both the human security guard market (over $30 billion)2 and physical security (video surveillance, access control, visitor management, etc.) market (over $20 billion) through its innovative RAD solution ecosystem.

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. RAD has published two Case Studies detailing how ROSA has helped eliminate instances of theft, trespassing and loitering at car rental locations and construction sites across the country. (Image: Rosa installed at 7/11s in Pittsburg)

AVA is a compact and stanchion mountable unit that provides an edge-to-edge 180 field of vision with advanced access control over gates and other controlled points of entry. AVA takes full advantage of the RAD Software Suite providing an ideal solution for logistics and distribution centers, storage yards, parking structures and lots, corporate campuses; anywhere that increased visibility is needed at a fraction of the cost. At ISC West in late March, AVA was named a winner of the 2022 SIA New Products and Solutions Awards in the category of Access Control Software, Hardware, Devices and Peripherals.

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AITX recently reported its wholly owned subsidiary Robotic Assistance Devices, Inc. (RAD) will include gun detection in its upcoming release of version 7 of its analytics software suite. RAD further announced that in partnership with Centralized Vision, active monitoring of gun detection alerts will be offered at no cost for all RAD deployments, subject to terms and conditions to be announced later.

RADs gun detection identifies the presence of side arms and long gun firearms. For clients who opt-in, as soon as a gun is identified as such by RADs AI-driven analytics the system may perform a variety of actions including appropriately activating a local autonomous alert, notifications to remote monitoring or onsite security staff, and appropriate authorities ideally before any shots are fired. The alert could be in the form of an audible and visual response on the RAD device. This immediate response will provide building security (#PROPTECH) and law enforcement precious minutes to respond to the situation, mitigating the loss of life, injuries, and property losses. Full details, terms and conditions will be released publicly in July. Gun detection will be available on all RAD devices and is backward compatible with RAD devices already deployed. Clients will be invited to opt-in beginning in mid-June. RADs gun detection analytic is just one of the many elements that will be prioritized and managed by the companys upcoming incident management system. The platform allows RAD dealers to avoid expensive and high maintenance alarm management solutions and is part of RADs efforts to rewrite the entire security industrys software library.

On June 3, AITX announced its wholly owned subsidiary Robotic Assistance Devices, Inc. (RAD) has signed USA Security as a new authorized dealer and has received an order for 2 ROSA security robots from this new dealer. USA Security designs fully integrated commercial security systems that utilize cutting-edge technology. USA Security is headquartered in Eden Prairie, Minnesota and supports a variety of industries across the United States. Although not named due to non-disclosure agreements, the Company confirmed that the 2 ROSA security devices will be deployed at a large retail center located in downtown Minneapolis, Minnesota. The dual ROSAs are expected to audibly greet shoppers with welcoming messages and visuals while performing routine surveillance of the propertys entrances from the parking garages.

Chris Daniels, Director of Sales and Marketing at USA Security said: RAD solutions are what the security industry needs right now. We expect to save this client close to $300,000 over the next three years with just two ROSAs. Our clients want to save money while keeping their properties and guests safe and secure. Were able to do that with RAD.

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Currently trading at a $76 million market valuation AITX has over $4 million in the treasury and $9 million in assets with just over $20 million in liabilities. Much of RADs existing convertible debt was acquired in support of the RAD/SMP robotics program. This convertible debt has largely been converted to long-term debt and warrants and will not cause short term dilution. AITX is a really exciting story developing in small caps, its subsidiary Robotic Assistance Devices, Inc. (RAD), is making moves in the $100 billion plus global security services market and finding great success under the able leadership of Steve Reinharz. AITX was one of the biggest runners of 2021, skyrocketing to highs near $0.30 per share. At current levels AITX has a massive gap to fill, ready liquidity, and a large group of investors who are already buying at current levels. Since the reversal just under a penny AITX has been under heavy accumulation and looks ready for action. We will be updating on AITX when more details emerge so make sure you are subscribed to Microcapdaily.

Disclosure: we hold no position in AITX either long or short and we have not been compensated for this article.

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Artificial Intelligence Tech Solutions Inc (OTCMKTS: AITX) Investors Looking for a Big Week Ahead as Robotics AI Innovator Secures New Deals &...

Artificial Intelligence has definitely made our lives easier in multiple ways. We can access multiple benefits right through our smartphones with the power of digital assistants like Google Assistant, Siri, Alexa, and more.

In todays world, multiple industries such as healthcare, e-commerce, financial services, etc., are leveraging the benefits of AI to the fullest of its potential. The technology has helped businesses grow in leaps and bounds with improved quality, security, and efficiency.

However, it is observed that engineering and construction are lagging behind in implementing artificial intelligence and machine learning solutions. The construction industry is worth more than $10 trillion a year.

Due to the complex challenges that the construction industry faces, the growth in the industry is severely limited. Dealing with challenges like cost and time overruns, labor shortage, health and safety, and productivity can bring revolution in the industry.

The construction industry has tremendous potential, and just by digitization, economically, the worth of the construction industry can be raised to $1.6 trillion a year. AI in construction can be instrumental in bringing this shift.

According to a report, Artificial Intelligence in the construction market is estimated to generate a revenue of $ 2,642.4 million by 2026, at a compound annual growth rate of 26.3% from 2019 to 2026. Technological advancements in AI and the Internet of Things (IoT) will create more opportunities for growth in construction and engineering.

Artificial Intelligence in the construction industry is undergoing a digital transformation. Focussing on technologies like artificial intelligence and machine learning at every stage of engineering and construction, from design to preconstruction to construction to operations and asset management, is exploiting the potential of the construction industry to new levels.

The areas where artificial intelligence in the construction industry is bringing impactful difference by getting the tasks done in a lesser amount of time and in a cost-effective manner.

Planning and designing sub-segment of construction are expected to benefit the most. In the global construction industry, the Europe market is anticipated to top the growth rate.

This technological shift is set to positively impact all the stakeholders across the project including contractors, owners, and service providers. With other adjacent industries such as transportation and manufacturing having already started working as an ecosystem, it becomes all the more important for the construction industry to adapt to the digitization of the processes.

As the technological shift is at a nascent stage in the engineering and construction industry, it will be advantageous for the companies that upgrade the technology. With artificial intelligence in construction, companies can comfortably tackle current issues while avoiding past mistakes.

With the use of statistical techniques of machine learning in construction, it becomes much more convenient and less time-consuming to scrutinize the data pertaining to changed orders, information requests, etc. This will help in proactively alerting the project leaders about the things that need critical attention. Safety monitoring also can be done with more efficiency.

We have established that AI is a critical component of modern engineering and construction approaches. Artificial intelligence in construction helps the industry solve its greatest challenges like cost and schedule overruns and safety issues. AI can be exploited throughout the construction project from inception and design, bidding, financing, transportation management, and operation and asset management.

Let us look in detail at how is AI being used in the construction industry:

AI-based Building Information Modeling (BIM) process has been helping architecture, engineering, and construction professionals make 3D model designs to plan efficiently, design, build, and repair the buildings and infrastructures.

With machine learning in construction, the industry uses AI-powered generative design to identify and collaborate the architecture, engineering, mechanical, electrical, and plumbing plan to ensure that there are no clashes within the sub-teams. Such measures mitigate the risk of rework. The algorithm of ML explores all the options and variations of the solutions to create design alternatives. Models with multiple variations are created and learned from each iteration, and this process is repeated until a perfect model is created.

It is expected that the planning and design sub-segment will grow exponentially with a CAGR of 28.9% between 2019 and 2026.

Construction companies can use AI-powered robots that are equipped with cameras. These robots can move autonomously through the construction site to capture 3D pictures.

With the help of neural networks, these pictures can be cross-checked with reference to the information from BIM and the bill of materials. The engineers managing large projects utilize this information to keep track of the progress of the work. It also helps identify quality errors at an early stage and keep a tap on financial information and time schedules.

It will not be an exaggeration to say that robotics and AI in the construction industry are ensuring the delivery of the best construction projects while saving costs and time.

Construction companies are exploiting the features of the Internet of Things (IoT) to manage the fleets of equipment and vehicles. With the inputs from the AI metrics, IoT provides solutions like location awareness, predictive maintenance capabilities, fuel and battery consumption, and much more.

With IoT devices and tags, it is now possible to predict the equipment breakdown possibility, which is an invaluable tool that saves time and money.

Construction sites are prone to accidents for various reasons. Analyzing and predicting risks with machine learning can avoid many such accidents. Monitoring the sources like photos and videos through the software can flag the potential risk that the site manager can address at the right time.

Reports pertaining to potential safety risks, such as unsafe scaffolding, waterlogging, and personnel missing protective equipment like gloves, helmets, and safety glasses, can be accessed by the user to rank the projects.

As mentioned in the introduction, there exists huge scope for tapping the potential of AI in construction management. There always is a dearth of labor in the construction industry as it involves risks and is a physically demanding job. The average turnover rate in the construction field is way more than in any other industry.

In such a scenario, AI-powered robots empower the project managers to oversee the real-time situation and resource requirements of multiple job sites. Based on the requirements, labor can be shifted to either a different part of the project or a different job site. The robots monitor the site to find the pain areas.

Companies that want to stay ahead in this competitive edge should quickly upgrade their technology. Smart construction can be enabled by incorporating AI. Lets explore how AI in construction is significant.

The current process of construction design is outdated and thus slow. By taking insights from building data, material data, and environmental data, you can optimize your project design.

When done manually, the building process tasks are tedious, time-consuming, and error-prone. The project manager spends most of his time assigning work and managing employee records.

However, Artificial intelligence can automate many such mundane tasks that can be performed with minimal or zero errors. AI automation can additionally take care of task delegation based on the data gathered from the employees. This not only streamlines the workflow process but also encourages workers to focus on their field of expertise.

With camera-enabled robots or AI-enabled construction equipment, data can be collected in different formats. By feeding these details into the deep neural network, the projects progress can automatically be classified from various aspects.

Such data empowers the management to know and address the minutest error or problem in the initial stage mitigating the subsequent major issues.

Employing self-driving construction machines can perform repetitive tasks tirelessly, efficiently, and quickly, such as welding, bricklaying, pouring concrete, etc.

Similarly, you can employ automated or semi-automated bulldozers for excavation and pre-work. Once the exact specifications are fed into these machines, they complete the job exactly as per the specifications. You can free up your human workforce for actual construction work and reduce the human risks involved in performing these tasks.

You can dramatically reduce the time in performing the land surveys in detail and taking aerial photos of the job site for better project management. With the help of drones, Geospatial Information System (GIS) and Geospatial AI (GeoAI) will help you keep track of project progress status and problems on the construction site while leveraging you with better decision making for efficient project management.

With the inception of technology, the construction industry will have cobots and robots working alongside workers. Robots take over the tasks that can be automated, and cobots are designed to work autonomously or with limited guidance.

Such an arrangement will help speed up construction, reduce costs, injuries, and better decision-making. AI in construction will not only overcome the labor shortage issue but will also lead to alterations in business models, and reduce expensive errors, making building operations more efficient. Thus, it is advised that business leaders at construction companies should focus on investment based on areas where AI can have the maximum impact based on needs.

Early adopters of this digital transformation are sure to gain the lead in the business. Getting an edge will make them leaders in setting the direction and reaping short-term and long-term benefits.

The construction industry is lagging behind in technology adoption. Now is the right time to get your processes automated and leverage AI in civil engineering.

Harness the power of automation with Appinventiv and take your construction goals to next level with functionally beautiful building designs.

As an AI development company, our team believes in molding their expertise based on our clients requirements as we have successfully done in the past helping business transformations.

Talk to our experts to tap the full potential of Artificial Intelligence in construction with Appinventive AI and ML development services.

From planning to designing to construction, AI has been spreading its benefits in all the sub-segments of construction. Future of construction with AI will oversee the complete construction project while advising on risk management, schedule adherence, structural integrity, and much more. Harnessing the potential of AI in construction will boost the profits, and reduce the injuries and risks involved.

Sudeep Srivastava

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AI in Construction - How Artificial Intelligence is Paving the Way for Smart Construction - Appinventiv

LONDON, May 31, 2022 (GLOBE NEWSWIRE) -- According to The Business Research Companys research report on the laser weapon systems market, growth in artificial intelligence is expected to drive the laser weapon systems market in the forecast period. The integration of artificial intelligence is gaining popularity among the laser weapon systems market trends. Artificial intelligence-powered systems are the battlefield's future. They can be deployed quickly and easily without being discovered, and they can wreak havoc with opposing fire. They are undetectable and quite effective. As previously reported by Financial Express Online, the military is expected to begin using artificial intelligence (AI) in the near future in order to become a totally network-centric force. It will take three to four years for the AI technology to be used in the Indian military. The Ministry of Defense has already established a Defense Artificial Intelligence Council with the defense minister as chairman and the three service chiefs, plus the defense secretary and the secretary of defense production, as members. The Defense Research and Development Organization (DRDO) has a specialized laboratory called the Centre for Artificial Intelligence and Robotics (CAIR), which employs about 150 scientists who work on AI Robotics, Control Systems, Command Control Communications and Intelligence (C3I), Networking, and Communications Secrecy. They've developed a robot family for surveillance and reconnaissance purposes. RoboSen is the name for a mobile robot for reconnaissance and surveillance systems. Moreover, the Indian Army during Army Day in 2021 demonstrated a Swarm Attack by drones on multiple targets.

Request for a sample of the global laser weapon systems market report

The global laser weapon systems market size is expected to grow from $4.81 billion in 2021 to $5.39 billion in 2022 at a compound annual growth rate (CAGR) of 11.9%. The growth in the market is mainly due to the companies resuming their operations and adapting to the new normal while recovering from the COVID-19 impact, which had earlier led to restrictive containment measures involving social distancing, remote working, and the closure of commercial activities that resulted in operational challenges. The laser weapon systems industry growth is expected to reach $8.53 billion in 2026 at a CAGR of 12.1%.

North America was the largest region in the laser weapon systems market and was worth $1.64 billion in 2021. The market accounted for 0.006% of the region's GDP. In terms of per capita consumption, the market accounted for $3.3, $2.7 higher than the global average. The growth of the Laser Weapon Systems market in the North American region can be attributed to the growing development of military drones, increased threats of aerial attacks, and increasing investment in military and defense. For instance, the military and defense budget of the USA for 2020 is USD 743.7 billion. Such a high budget will increase the demand to use more advanced products and weapons.

Major players in the laser weapon systems market are Applied Technology Associates, Boeing, Elbit Systems Ltd., General Atomics, BAE Systems, Lockheed Martin Corporation, MBDA, Northrop Grumman Corporation, Raytheon Technologies Corporation, Rheinmetall AG, Thales Group, Kratos, Leidos, Leonardo SpA, and Rafael Advanced Defense Systems.

The global laser weapon systems market is segmented by product into laser designator, LIDAR, 3D laser scanning, laser range finder, ring laser gyro, laser altimeter; by technology into solid state laser, chemical laser, free electron laser, chemical oxygen iodine laser, tactical high energy laser, others; by application into air-based, ground-based, sea-based.

The regions covered in the laser weapon systems market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, and Africa.

Laser Weapon Systems 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 laser weapon systems market overviews, laser weapon systems market analyze and forecast market size and growth for the whole market, laser weapon systems market segments and geographies, laser weapon systems market trends, laser weapon systems market drivers, laser weapon systems market restraints, laser weapon systems 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.

Not the market you are looking for? Check out some similar market intelligence reports:

Artificial Intelligence Global Market Report 2022 By Offering (Hardware, Software, Services), By Technology (Machine Learning, Natural Language Processing, Context-Aware Computing, Computer Vision, Others (Image Processing, Speech Recognition)), By End-User Industry (Healthcare, Automotive, Agriculture, Retail, Marketing, Telecommunication, Defense, Aerospace, Media & Entertainment) Market Size, Trends, And Global Forecast 2022-2026

Autonomous Military Weapons Global Market Report 2022 By Type (Autonomous, Semi-Autonomous), By Product (Missiles, Rockets, Guided Bombs, Target Pods), By Platform (Land, Airborne, Naval) Market Size, Trends, And Global Forecast 2022-2026

Defense Support And Auxiliary Equipment Global Market Report 2022 By Type (Military Radars, Military Satellites, Other Defense Support And Auxiliary Equipment), By Payload Type (Communication Payload, Navigation Payload, Imaging Payload), By Application (Intelligence, Surveillance, And Reconnaissance (Isr), Communication, Navigation) Market Size, Trends, And Global Forecast 2022-2026

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Growth In Artificial Intelligence Is Expected To Drive The Laser Weapon Systems Market At A Rate Of 12% As Per The Business Research Company's Laser...

By the 1950s, several scientists, philosophers, mathematicians, and others had AI incorporated inside their minds. But human beings have now learned how to transform the concept into reality. In recent times, AI has widespread applications everywhere.

AI has the potential to learn quickly from a significant amount of data. It ensures that some of the most technical issues can be tackled without hassle. But it can also feed your excitement and squeeze out your creativity at work.

AI and Photo Editing

AI has transformed traditional photo editing and made it less time-consuming. It can take your hands off repetitive and manually-intensive tasks. AI understands what we want and helps us achieve it quite easily.

You will come across multiple AI-powered photo editing tools in the market. Each device has its own set of unique features and reduces the workload of photo editing. You can efficiently perform a lot of tasks with a single click. For instance, you can add textures, detect faces, and colorize and sharpen your photos.

You can also improve low-resolution images using AI-powered editing tools. Just imagine you got an excellent click in front of the Eiffel Tower. But a random stranger photobombed without their knowledge. Thanks to AI, you can now find a background remover tool like Slazzer. It is a powerful tool that helps businesses save time and money to make their products stand out against the background.

Removing Unwanted Objects from Your Photos

In the photo editing sector, AI has vast applications. Photo editors use AI-based tools to enhance magazine covers, wedding photos, nature shots, and whatnot. In the future, AI-powered software will be developed to meet specific needs according to the requirements of different forms of photography.

Photo background remover tools like Slazzer have already made life easier for editors. But AI-based photoediting tools will become even better at removing backgrounds. They will be able to detect unwanted elements in a picture and correct the mistakes more accurately.

Researchers have developed AI technology to remove unwanted shadows from photographs. The algorithm can focus on two different types of shadows. Shadows from external objects and the ones due to facial features can be removed.

Professional images are usually taken in a studio with sufficient lighting. But when photos are not taken under ideal conditions, dark shadows might obscure some parts of the subject and accessible highlight other parts. The newly developed AI can address the problem by targeting the undesired highlights and shadows.

It can remove and soften the shadows until the subject is clear. With the background remover tool working in a more realistic and controllable way, it will have a higher value than images captured in casual settings. It is beneficial for fixing images shot under circumstances where the lighting cannot be controlled.

What Does the Future of AI-Based Photo Editing Look Like?

With time, AI will become more useful for editing backgrounds. It will be able to take into account minor details like a persons cloth or hair and add lighting that seems natural.

When you consider popular trends such as NFTs, you will see how we view and acquire art is evolving. New options for selling and packaging digital works are constantly on the rise. AI will play a firm role in their faster arrival at the final product. AI will also provide opportunities to amateurs who wish to try their hands at creating art.

Does AI Mean the Job of Professional Photo Editors Are at Risk?

Its no surprise that the rise of AI concerns specific individuals. In every industry, people are worried that AI will replace human skills. Photographers and photo editors believe that artificially edited images will take their jobs.

But the truth is AI will become a powerful tool for these individuals to improve their performances.

AI is constantly reshaping our workflow. It enables us to move faster without compromising on creativity. We need to embrace these new technologies and integrate them within upcoming software creations. This way, the photo editing industry will be able to become more sophisticated.

Summing up

AI is here to take the photo editing industry to a new level. But theres still a lot of time before machines can replace the need for human skills in the photo editing industry.

Meanwhile, tools like Slazzer, with their ability to remove unwanted objects from a photograph, will make the job easier for editors.

Disclaimer: This article is a paid publication and does not have journalistic/editorial involvement of Hindustan Times. Hindustan Times does not endorse/subscribe to the content(s) of the article/advertisement and/or view(s) expressed herein. Hindustan Times shall not in any manner, be responsible and/or liable in any manner whatsoever for all that is stated in the article and/or also with regard to the view(s), opinion(s), announcement(s), declaration(s), affirmation(s) etc., stated/featured in the same.

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