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The Hindu
25-05-2025
- Health
- The Hindu
MITS students develop portable, AI-powered skin disease detection device
The final-year ECE students of Madanapalle Institute of Technology and Science (MITS) have successfully developed a portable, AI-powered system for early detection of skin diseases. The MITS management said: 'The device leverages Convolutional Neural Networks (CNNs) to classify skin conditions such as melanoma, basal cell carcinoma, and others through a mobile or web interface. Built on Raspberry Pi, the device includes a buzzer, GSM module, and LCD for real-time alerts and display. In recognition of their achievement, the students were felicitated by the management, including Principal C. Yuvaraj and Correspondent N. Vijaya Bhaskar Choudary.
Yahoo
08-04-2025
- Business
- Yahoo
Multimodal AI Research Report 2025: Market to Grow by Over $25 Billion by 2034 - Opportunity, Growth Drivers, Industry Trend Analysis, and Forecasts
Multimodal AI Market Dublin, April 08, 2025 (GLOBE NEWSWIRE) -- The "Multimodal AI Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2025-2034" report has been added to Multimodal AI Market was valued at USD 1.6 billion in 2024, and is projected to reach USD 27 billion by 2034, rising at a CAGR of 32.7% Growth is primarily fueled by the increasing integration of AI and ML across industries, including retail, healthcare, and automotive, alongside rising investments in AI research and development. Multimodal AI represents a major shift in technological capabilities, enabling real-time human-AI collaboration and enhancing edge AI applications. It is a rapidly evolving field that drives innovation by allowing machines to process diverse data types, such as text, images, and voice, for more efficient decision-making. However, challenges such as ethical AI governance, computational efficiency, and data fusion complexity continue to pose obstacles for companies. Despite these hurdles, businesses worldwide are leveraging multimodal AI to optimize workflows, reduce errors, and improve productivity. Adoption is accelerating as industries seek automation to enhance operational efficiency, particularly in healthcare, automotive, and logistics. The growing reliance on AI-driven tools for personalized services and decision-making further propels demand, with enterprises prioritizing AI investment to gain a competitive AI enables machine learning models to analyze and integrate multiple data types, including text, images, video, and audio, to deliver more accurate outputs. The image data segment accounted for USD 565.4 million in 2024, driven by advancements in deep learning techniques, such as Convolutional Neural Networks (CNN), which have enhanced image classification and recognition capabilities. The machine learning segment held the largest market share of 34.5% in 2024 and is projected to dominate through 2034. Growing demand for predictive analytics, particularly in healthcare and banking, as well as the increasing adoption of cloud-based ML solutions, supports expansion. More than 87% of enterprises now prefer cloud platforms for machine learning deployment, reinforcing market multimodal AI market is categorized into generative, translative, explanatory, and interactive AI. The generative multimodal AI segment was valued at USD 740.1 million in 2024, largely due to rising demand for high-quality content creation across various digital platforms. Companies are investing significantly in AI-generated text, video, and audio for marketing purposes, further boosting the multimodal AI adoption is expanding across multiple sectors, including BFSI, retail and e-commerce, IT and telecommunications, government, healthcare, and media. The BFSI sector contributed USD 570.5 million in 2024, driven by the increasing use of AI to enhance financial services and streamline North America is expected to lead the market, with projections estimating a market size of USD 11.7 billion by 2034. The region's strong focus on AI investment and the presence of key technology hubs contribute to this growth. The US market is anticipated to expand at a CAGR of 33.6% in 2034, driven by continuous investment in AI startups and the development of cutting-edge multimodal AI solutions. Key Attributes: Report Attribute Details No. of Pages 160 Forecast Period 2024 - 2034 Estimated Market Value (USD) in 2024 $1.6 Billion Forecasted Market Value (USD) by 2034 $27 Billion Compound Annual Growth Rate 32.7% Regions Covered Global Comprehensive Market Analysis and Forecast Industry trends, key growth drivers, challenges, future opportunities, and regulatory landscape Competitive landscape with Porter's Five Forces and PESTEL analysis Market size, segmentation, and regional forecasts Company Profiles Aiberry Inc. Aimesoft Inc. Amazon Web Services Inc. Archetype AI Inc. Beewant SAS Google Inc. Habana Labs Inc. Hoppr Inc. Inworld AI Inc. International Business Machines Corporation (IBM) Jina AI GmbH Ltd. Microsoft Corporation Mobius Labs Inc. Inc. Multimodal Inc. Neuraptic AI S.L. Newsbridge SAS OpenAI Inc. OpenStream AI Inc. Inc. Perceiv AI Inc. Reka AI Inc. Runway AI Inc. Stability AI Ltd. Key Topics Covered: Chapter 1 Methodology and ScopeChapter 2 Executive Summary2.1 Industry 360 synopsisChapter 3 Industry Insights3.1 Industry ecosystem analysis3.2 Industry impact forces3.2.1 Growth drivers3.2.1.1 Rising demand for automation3.2.1.2 Enhance customer experience expectations3.2.1.3 Adoption of AI related content creation tools3.2.1.4 Government funding in AI research3.2.1.5 Increase in demand for AI in security3.2.2 Industry pitfalls and challenges3.2.2.1 Data privacy and security concerns3.2.2.2 Risk of job replacement3.3 Growth potential analysis3.4 Regulatory landscape3.5 Technology landscape3.6 Future market trends3.7 Gap analysis3.8 Porter's analysis3.9 PESTEL analysisChapter 4 Competitive Landscape, 20244.1 Introduction4.2 Company market share analysis4.3 Competitive analysis of major market players4.4 Competitive positioning matrix4.5 Strategy dashboardChapter 5 Market Estimates and Forecast, by Data Modality, 2021-2034 ($ Mn)5.1 Key trends5.2 Image data5.3 Text data5.4 Speech & voice data5.5 Video data5.6 Audio dataChapter 6 Market Estimates and Forecast, by Technology, 2021-2034 ($ Mn)6.1 Key trends6.2 Machine learning6.3 Natural language processing6.4 Computer vision6.5 Context awareness6.6 Internet of thingsChapter 7 Market Estimates and Forecast, by Type, 2021-2034 ($ Mn)7.1 Key trends7.2 Generative Multimodal AI7.3 Translative Multimodal AI7.4 Explanatory Multimodal AI7.5 Interactive Multimodal AIChapter 8 Market Estimates and Forecast, by Industry Vertical, 2021-2034 ($ Mn)8.1 Key trends8.2 BFSI8.3 Retail & ecommerce8.4 IT & Telecommunication8.5 Government & public sector8.6 Healthcare8.7 Media & entertainment8.8 OthersChapter 9 Market Estimates and Forecast, by Region, 2021-2034 ($ Mn)9.1 Key trends9.2 North America9.2.1 U.S.9.2.2 Canada9.3 Europe9.3.1 Germany9.3.2 UK9.3.3 France9.3.4 Spain9.3.5 Italy9.3.6 Netherlands9.4 Asia-Pacific9.4.1 China9.4.2 India9.4.3 Japan9.4.4 Australia9.4.5 South Korea9.5 Latin America9.5.1 Brazil9.5.2 Mexico9.5.3 Argentina9.6 Middle East and Africa9.6.1 Saudi Arabia9.6.2 South Africa9.6.3 UAEFor more information about this report visit About is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends. Attachment Multimodal AI Market CONTACT: CONTACT: Laura Wood,Senior Press Manager press@ For E.S.T Office Hours Call 1-917-300-0470 For U.S./ CAN Toll Free Call 1-800-526-8630 For GMT Office Hours Call +353-1-416-8900Sign in to access your portfolio
Associated Press
18-03-2025
- Business
- Associated Press
NB Tech Acquisitions Welcomes Dr. Abdul Jabbar as Senior AI & Machine Learning Specialist
Newport Beach, California--(Newsfile Corp. - March 18, 2025) - NB Tech Acquisitions ('NB Tech'), a leader in technology innovation and investment, is pleased to announce the addition of Dr. Abdul Jabbar as the company's new Senior AI & Machine Learning Specialist, further reinforcing its commitment to building an AI-first infrastructure that powers innovation across e-commerce, fintech, and emerging technologies. Dr. Jabbar brings over a decade of academic and industry expertise, with a Ph.D. in Computer Science from The University of Newcastle in Australia. His research and applied work spans advanced deep learning methodologies, including Convolutional Neural Networks (CNNs), Generative Adversarial Networks (GANs), and Deep Reinforcement Learning. He has held roles at leading global institutions such as the Allen Institute for AI (USA), Unbox Research, and L2F (Switzerland), and consulted for hedge funds and proprietary trading firms in the quantitative finance space. 'Dr. Jabbar's deep technical acumen and cross-industry experience make him an ideal fit for NB Tech's mission to build intelligent systems that drive real-world results,' said Eric Liboiron, Founder and acting CEO of NB Tech Acquisitions. 'His work will play a pivotal role in shaping the machine learning backbone of our 'Big Engine' platform.' At NB Tech, Dr. Jabbar will lead initiatives that fuse advanced AI with commercial applications, particularly within the company's expanding Ecom Fund ecosystem and its algorithmic trading strategies through the DX1 Fund. His focus will include predictive modeling, data optimization, and the development of scalable AI tools that enhance decision-making, operational efficiency, and investor outcomes. The hire marks a key milestone in NB Tech's 2025 growth strategy, underscoring its commitment to recruiting world-class talent and deploying transformative technologies that keep the company ahead of the curve. About NB Tech Acquisitions Founded in 2021 and headquartered in Newport Beach, California, NB Tech Acquisitions is a private holding company and technology incubator specializing in acquiring and scaling groundbreaking startups across sectors such as artificial intelligence, ecommerce, and cybersecurity. Through strategic investments and innovative solutions, NB Tech drives transformation and creates exceptional value for its stakeholders. Media Contact: Brooke Rhoden Vice President of Investor Relations NB Tech Acquisitions Phone: 949.229.0977 SAFE HARBOR FORWARD-LOOKING STATEMENTS In connection with the safe harbor provisions of the Private Securities Litigation Reform Act of 1995, NB Tech Acquisitions is hereby providing cautionary statements identifying important factors that could cause our actual results to differ materially from those projected in forward-looking statements (as defined in such act). Any statements that are not historical facts and that express, or involve discussions as to, expectations, beliefs, plans, objectives, assumptions or future events or performance (often, but not always, indicated through the use of words or phrases such as 'will likely result,' 'are expected to,' 'will continue,' 'is anticipated,' 'estimated,' 'intends,' 'plans,' 'believes' and 'projects') may be forward-looking and may involve estimates and uncertainties which could cause actual results to differ materially from those expressed in the forward-looking statements. These statements include, but are not limited to, our expectations concerning our ability to attract investors. We caution that the factors described herein could cause actual results to differ materially from those expressed in any forward-looking statements we make, and investors should not place undue reliance on any such forward-looking statements. Further, any forward-looking statement speaks only as of the date on which such statement is made, and we undertake no obligation to update any forward-looking statement to reflect events or circumstances after the date on which such statement is made or to reflect the occurrence of anticipated or unanticipated events or circumstances. New factors emerge from time to time, and it is not possible for us to predict all such factors. Further, we cannot assess the impact of each such factor on our results of operations or the extent to which any factor, or combination of factors, may cause actual results to differ materially from those contained in any forward-looking statements.
Jordan News
04-03-2025
- Health
- Jordan News
Laser Dentistry for Treatment and Prevention - Jordan News
In recent years, the field of dentistry has witnessed remarkable developments, one of the most notable being the emergence of laser dentistry. As dentists continue to search for innovative ways to enhance patient care and treatment outcomes, laser technology has become a significant turning point, offering minimally invasive solutions for a wide range of dental treatments without the need for the dreaded anesthesia needle, which many patients fear when sitting in the dental chair. اضافة اعلان Types of Lasers Laser technology in dentistry uses light beams of specific wavelengths to interact with teeth and gums, with the type of laser and its wavelength determining its specific use. Laser technology is divided into two main types: Soft Tissue Lasers: This type is used to stimulate the internal cells of teeth and gums to accelerate the healing and regeneration process. These lasers are employed in various medical procedures such as post-surgical healing, pain relief, reduction of gum inflammation, and improving the appearance of the root surfaces of teeth. Hard Tissue Lasers: Also known as laser for hard tissues, this type is used in treating tooth decay, trimming excess gum tissue, and even in some cases, removing parts of the jawbone. Laser dentistry employs focused light beams to perform precise dental treatments, ranging from detecting and removing cavities to gum surgery and teeth whitening. One of the major benefits of laser technology is its ability to target specific areas with exceptional precision, which minimizes damage to surrounding tissues. Gum Disease Treatment Laser technology has proven highly effective in treating gum diseases, as it can remove bacteria and infected tissues with minimal intervention, promoting rapid healing and reducing the risk of infection. This makes laser treatment an excellent option for patients suffering from gum diseases, who may otherwise need more extensive surgical interventions. This precision translates to reduced discomfort for patients, less need for anesthesia, and quicker recovery times. For instance, traditional gum disease treatments often require four sessions over the course of two months, involving anesthesia and a surgical procedure to expose parts of the tooth roots, with each session lasting approximately an hour. In contrast, laser treatment for the same condition can be completed in less than 10 minutes, without the need for anesthesia or surgery, as the laser beam penetrates and treats the infected tissue in the gums. Diagnostic and Preventive Tasks In addition to treatment, lasers have also found a place in diagnostic procedures. Laser devices, integrated with artificial intelligence algorithms through Convolutional Neural Networks (CNN), are used to detect cavities that may be invisible to the naked eye or traditional X-rays due to tooth decay or loss of enamel caused by acids. This technology enhances diagnostic accuracy, ensuring that even the smallest dental issues are addressed swiftly. Preventive dentistry is a core pillar of oral health, and laser technology has taken it to new heights. Laser devices are now used to detect early stages of pits and cavities caused by acids secreted by tooth-decaying bacteria on the tooth surface. This allows dentists to identify and treat tooth decay before it worsens. By detecting dental issues at an early stage, patients can avoid more extensive and costly treatments in the future. Laser is Less Intimidating than Drills and Scalpels Patient anxiety and fear of dental procedures are common barriers to seeking necessary dental care. Laser dentistry offers a less intimidating alternative, as it often eliminates the need for drills and scalpels, which are significant sources of discomfort for many patients. The silent, vibration-free operation of laser devices ensures a more comfortable and peaceful experience, encouraging patients to maintain regular visits to the dentist. Therefore, the future of laser dentistry looks promising, with ongoing research and development aimed at expanding its applications and improving its efficiency. As technology continues to evolve, and with the incorporation of artificial intelligence, we can expect to see more advanced laser systems that enhance the precision and scope of dental treatments. With an increasing number of dental clinics adopting this advanced technology, patients benefit from safer, more comfortable, and effective dental treatments.
