Latest news with #MachineLearning
Indian Express
2 days ago
- Science
- Indian Express
IIT Delhi launches first BS programme in Chemistry for JEE Advanced 2025 qualifiers
The Indian Institute of Technology (IIT) Delhi has introduced its first-ever Bachelor of Science (BS) programme in Chemistry, starting from the academic year 2025-26. The new four-year undergraduate programme will admit students through the Joint Entrance Examination (JEE) Advanced 2025 via the JoSAA counselling portal. The programme aims to encourage early multi-disciplinarity in chemical science education without compromising the depth expected from a pure science degree. 'While engineering graduates often lack deep scientific foundations, chemistry graduates may miss out on engineering principles. This programme bridges that gap,' Prof S Nagendran, Head of the Department of Chemistry at IIT Delhi said. The curriculum is designed to prepare students for diverse roles in core chemistry-based industries, research, academia, and entrepreneurship. With a strong focus on both theoretical and practical aspects, the programme aims to develop technology leaders and researchers capable of addressing real-world challenges. Prof Ravi P Singh, programme coordinator, said students will take foundational science and engineering courses in their first year, followed by core chemistry subjects in the second year. The third and fourth years will introduce interdisciplinary electives, research opportunities, and the option to pursue a Minor in another discipline. Some of the key features include: –30% hands-on learning with advanced laboratory training –Courses in cutting-edge areas such as Artificial Intelligence and Machine Learning (AI-ML) in Chemistry –Cross-departmental electives and minor degree options –Practical learning focused on experimental and computational chemistry Graduates will be well-positioned for careers in sectors like pharmaceuticals, semiconductors, oil & gas, defence, automotive, and chemical consulting. This launch comes as part of IIT Delhi's larger initiative to modernise its academic offerings. Earlier, the institute revised its curriculum across undergraduate, postgraduate, and PhD programmes for the 2025-26 academic session to introduce greater academic flexibility and industry alignment. These changes are aimed at enhancing student preparedness for the future workforce while encouraging interdisciplinary learning.
Indian Express
2 days ago
- Business
- Indian Express
Key step in democratising AI: IIT-B releases 16 datasets on AIKOSH
In an important milestone for India's Artificial Intelligence (AI) ecosystem, the Indian Institute of Technology (IIT) Bombay has released 16 diverse and culturally significant datasets on AIKOSH, India's official AI repository, making it among the biggest contributors to AIKOSH. This marks a crucial step in democratising AI by making high-quality, India-centric data openly accessible to researchers, startups and developers across the country. IIT Bombay made the announcement on X, saying that these datasets are designed to support innovation and research in AI and Machine Learning (ML), particularly in the Indian context. *IIT Bombay Releases 16 AI Datasets on AIKOSH: Enabling the Future of Responsible AI in India 🇮🇳* IIT Bombay is thrilled to announce the release of 16 diverse and culturally significant datasets on AIKOSH, the Government of India's official AI repository. These datasets are… — IIT Bombay (@iitbombay) May 30, 2025 AIKOSH, which was launched in March by the Ministry of Electronics and Information Technology, is a national platform aimed at providing support for inclusive AI development across the country. The 16 datasets by IIT Bombay are part of a larger pool of 21 AI models now available on AIKOSH, which were created by BharatGen, a Section 8 company funded by the Department of Science and Technology for indigenous AI development in India. The company is a consortium of seven partners. Led by IIT Bombay, the consortium includes IIT Kanpur, IIT Mandi, IIT Hyderabad, IIT Madras, IIM Indore and IIIT Hyderabad. Prof Ganesh Ramakrishnan, Department of Computer Science Engineering, IIT Bombay, said, 'Our goal is not just to build AI models but to provide resources that startups and system integrators can leverage, creating a favourable and sovereign AI ecosystem for India.' The datasets released on AIKOSH include handwritten and printed Indian scripts, multilingual audio data and resources designed to interpret visual and spoken inputs from Indian environments. Among the notable contributions are a large-scale Sanskrit Optical Character Recognition (OCR) dataset consisting of over 218,000 sentences from historical texts to support the digitisation of ancient Indian knowledge. There is also a speech recognition dataset with more than 78 hours of Sanskrit audio. Additional resources include capabilities for detecting tables across documents in 14 Indian languages and a comprehensive Wiki on Indian Knowledge Systems, among others. Prof Ramakrishnan said, 'Equal emphasis on India data and its provenance allows these models to uniquely balance Indian data alongside English data, ensuring true relevance and understanding for our diverse nation, while also catering to its security. These models are built with Indian linguistic and cultural nuances at their core. By making these datasets available to all thorough AIKOSH, we are democratising AI in order to foster innovations across the country, eventually to build a self-reliant and inclusive AI ecosystem for India.'
Yahoo
4 days ago
- Business
- Yahoo
Data Center GPU Market - Global Forecast to 2030: On-Premises GPU Solutions Set for High Growth Due to Low Latency Demands
Key growth drivers include the rise of AI, machine learning, and cloud services like AWS, Google Cloud, and Microsoft Azure. On-premises deployments are expected to see the highest CAGR, driven by data protection needs, while the training segment also surges amid large-scale AI and ML model development. Major CSPs will dominate the market, capitalizing on global AI and data analytics demands. North America, with its robust tech ecosystem, will continue leading in market share. Dublin, May 30, 2025 (GLOBE NEWSWIRE) -- The "Data Center GPU Market by Deployment (Cloud, On-premises), Function (Training, Inference), Application (Generative AI, Machine Learning, Natural Language Processing, Computer Vision), End User (CSP, Enterprises) & Region - Global Forecast to 2030" has been added to offering. The global data center GPU market, valued at USD 87.32 billion in 2024, is forecast to achieve USD 228.04 billion by 2030, expanding at a CAGR of 13.7% from 2025 to 2030 This dynamic market is primarily driven by the proliferation of artificial intelligence (AI) and machine learning (ML), surging demand for high-performance computing, and broadening cloud services. These factors necessitate GPUs for advanced deep learning, large language models, and data analytics applications. Generative AI applications and real-time inference systems further amplify demand for efficient GPU architecture. This growth trajectory is supported by investments in hyperscale data centers and governmental backing for national AI strategies. Key cloud providers like Amazon Web Services, Google Cloud, and Microsoft Azure are notably increasing their GPU capabilities, alongside companies such as NVIDIA and AMD, which are releasing cutting-edge GPUs optimized for both training and inference workloads. On-premises segment expected to achieve the highest CAGR On-premises solutions are set to exhibit the highest CAGR, attributed to the increasing requirements for data security, low latency, and regulatory adherence across banking, automotive, retail, and healthcare sectors. In-house GPU management offers greater data control and is preferred for low-latency AI tasks vital for real-time applications like autonomous systems and high-frequency trading. With more affordable GPU servers, medium-sized enterprises are now able to invest in dedicated infrastructure. This trend is particularly noticeable in regions with restricted cloud connectivity or data sovereignty issues, such as Asia Pacific, Europe, and the Middle East. Training segment to record significant growth The training segment is projected to see substantial advancement as businesses develop and refine large-scale ML and AI models. GPU-powered training is imperative for deep neural network applications like generative AI, computer vision, and NLP, propelling the demand for dedicated GPU clusters. The emergence of large language models (LLMs), such as OpenAI's GPT series, increases GPU demand within tech, finance, and healthcare. With the adoption of AI driving business transformation, the expansion of training infrastructures is imminent. Cloud Service Providers (CSPs) to dominate end-user market CSPs are anticipated to capture the largest market share by 2030, driven by substantial AI infrastructure investments and their capacity to fulfill enterprise and developer needs. Major CSPs are scaling GPU data centers to accommodate AI training, inference, data analytics, and cloud gaming. They offer GPU-as-a-Service, enabling companies to leverage advanced GPU technology without substantial initial investments. As foundational and generative AI models grow, CSPs are developing specialized AI supercomputers with extensive GPUs, positioning themselves to lead in revenue and volume. North America to register leading market share North America is poised to continue leading the data center GPU market, underpinned by its sophisticated technological infrastructure and dominance of cloud computing firms like AWS, Microsoft Azure, and Google Cloud. These companies are constructing GPU-focused data centers to support AI workloads, high-performance computing, and data analysis. With strong enterprise demand across healthcare, finance, automotive, and government sectors, North America's leadership is maintained by significant R&D investments and conducive governmental support. Key Benefits of Buying the Report: Analyze critical drivers like AI and ML adoption and high-performance computing demand. Gain insights into innovation with upcoming technologies and new product launches. Identify lucrative markets and regional dynamics for data center GPU development. Explore market diversification opportunities with new products and untapped regions. Comprehensive competitive assessment of leading industry players' growth strategies. Market Dynamics Drivers Growing Adoption of AI and Machine Learning Growing Demand for High Performance Computing (HPC) Cloud Computing Expansion Challenges Existence of Alternative Technologies Stringent Regulatory Framework Supply Chain Disruptions Opportunities Growth in Autonomous Systems Emergence of Edge Computing Advancements in Quantum Computing Synergy Case Studies Decentralized Digital World of Media and Entertainment Terray Therapeutics - Leveraging Generative AI for Small-Molecule Drug Discovery Siemens Healthineers - Streamlining Cancer Radiation Therapy With AI GAC R&D Center - Boosting Vehicle Aerodynamics With NVIDIA GPUs Stone Ridge Technology - Reducing Compositional Model Runtimes With Echelon 2.0 Company Profiles NVIDIA Corporation Advanced Micro Devices, Inc. Intel Corporation Google Microsoft Amazon Web Services, Inc. IBM Alibaba Cloud Oracle Coreweave Tencent Cloud Lambda Runpod ScaleMatrix Holdings, Inc. DigitalOcean FluidStack OVH SAS E2E Networks Limited Ace Cloud Snowcell Linode LLC Yotta Data Services Pvt Ltd. Vultr Rackspace Technology Gcore Nebius B.V. For 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. 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 +353-1-416-8900Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
India.com
5 days ago
- Business
- India.com
The Future of Health Insurance: A Tech-Driven Revolution
Technology is developing at a rapid pace, so is health insurance. Tech like blockchain and artificial intelligence are playing a very vital route in protecting data and assisting in risk assessment. Even the way we purchase, process and use insurance plans have changed significantly. Health insurance has gone beyond being simply high-tech. What does this mean for the public at large, and how is the insurance industry being disrupted by all this new technology? What's Changing in Health Insurance? Let's go over some of the most significant changes that are improving the way insurance works. Intelligence (AI) and Machine Learning (ML) To begin with, AI helps in more accurate risk assessment in lesser time, minus the manual errors that used to creep in. Additionally, it detects fraud more quickly than a human can and expedites the claims process faster. The outcome? Quicker reimbursements, lesser errors, and happy customers. Smarter Claims Processing Approving insurance claims was a cumbersome process earlier. There were delays, human errors, and loads of paperwork. This speed really matters when you're already dealing with health issues. The last thing you need is sitting around worrying about whether your treatment will get covered while you're trying to get better. In short, the accuracy and speed with which AI does things, helps to greatly reduce stress. Keeping an Eye on Fraud The flip side of rapid technological development is that even fraudsters are upgrading themselves and creating unique ways to find loopholes. Fraud has been a major problem in the insurance sector and continues to be. We are speaking of yearly losses in billions. AI helps to spot unusual patterns and instantly report questionable claims. This allows insurance companies to fight fraud and make the life of genuine insurers easy. This translates into less hassle and more reasonably priced rates. 2. Blockchain and Health Insurance: What's the Big Deal? You've probably heard about blockchain with cryptocurrency, but it's doing something pretty important for health insurance too. Making your personal information much safer. Here's how it works. Instead of storing all your data in one big database that hackers love to target, blockchain spreads everything across a network. Each piece of information gets locked down tight, and once it's there, nobody can mess with it or change it. This helps prevent fraud. When every transaction is tracked and verified, someone can't just create fake claims or tamper with your policy details. The system catches it before it becomes a problem. It also gives insurance companies more control over the data of their customers. Thanks to this technology, your medical information moves around more smoothly between the people who need it to help you, but it stays locked down from everyone who shouldn't have access. Some benefits: Safe, Secure Storage Tamper-Proof Transactions Faster, Smoother Processes 3. Telemedicine Is Changing the Game in Healthcare Telemedicine has changed the way people get professional medical help. Not all visits have to be physical now. Virtual consultations have done wonders. These days, a lot of health insurance plans include coverage for virtual doctor visits. That means you can talk to a healthcare professional from wherever you are. No travel. No hassle. It is especially useful if you live in a remote area or just prefer the convenience of handling things online. So, why are more people leaning into telemedicine? A few good reasons: Fewer Trips to the Hospital: You can get advice, diagnosis, and even prescriptions without stepping outside your home. You can get advice, diagnosis, and even prescriptions without stepping outside your home. Lower Costs: Virtual visits often come with a smaller bill, making medical consultations more affordable. Virtual visits often come with a smaller bill, making medical consultations more affordable. Faster Answers: When you are not feeling well, waiting days for an appointment is the last thing you want. Telemedicine speeds things up. And the best part is that most insurers are making this a standard part of their coverage. So you get timely care without any added expense. Isn't that a gamechanger? 4. Wearables Are Playing Their Part Fitness trackers, smartwatches, sleep monitors. You see them on everyone's wrists these days, right? These little devices are constantly keeping tabs on things like your heart rate, how much you move around, and how well you sleep. This might seem like some interesting data to scroll through on your phone, but here's the thing. Insurance companies are starting to pay attention to all that information too. And honestly, that can actually work in your favour. Here's how: Customised Premiums: If you keep active and your data shows it, some insurers might offer you lower premiums. If you keep active and your data shows it, some insurers might offer you lower premiums. Spotting Problems Early: Constant monitoring helps detect early signs of potential issues before they become serious. Constant monitoring helps detect early signs of potential issues before they become serious. Incentives for Healthy Habits: Stick to your physical routine and stay active. Some insurance providers will reward you for it, through discounts coupons and other benefits on health insurance. 5. Mobile Apps for Policy Management All insurance companies now have mobile applications that make policy management simpler. Through these apps, you can: Buy or renew health insurance policies online. Monitor claims and reimbursements online in real time. Access to digital health cards and policy information. Get personalised health reminders and tips. Mobile applications reduce paperwork, minimising administrative delays and enhancing the customer's experience. In short, tech is making critical illness insurance smarter, fairer, and a lot more responsive to what you are actually going through. 6. How the Internet of Things (IoT) Is Shaping Health Insurance You probably have a fitness tracker or maybe some kind of health app on your phone. What you might not realize is that these little gadgets are part of something called the Internet of Things, and they are quietly changing how health insurance actually works. Think of it this way. All these connected devices, medical monitors, and health apps can now talk to each other and share information with your insurance company in real time. Here's what this means for your day-to-day life: Managing ongoing health issues gets easier. Say you have diabetes or heart problems. These connected monitors can catch changes early and alert both your doctor and your insurance company. That means faster responses when something needs attention, which keeps you healthier and out of the hospital. Your premiums can actually reflect how you live. Do you exercise regularly? Sleep well most nights? These devices track that stuff, and some insurers will give you better rates because of it. Your healthy habits finally count for something on your bill. Emergency help comes faster. Some of these devices are getting pretty smart about detecting falls or catching irregular heartbeats. They can automatically call for help when you need it most. The bigger picture here is pretty interesting. Instead of just paying for treatment after you get sick, this whole system is designed to keep you healthier in the first place. Less time in hospitals, more support for staying well. It is a different way of thinking about insurance, really. And for most people, it is working out to be a better deal. Wrapping It Up Technology is actually making the whole insurance system work better, cost less, and become much simpler to deal with. Take AI, for example. It can handle claims faster than any human ever could. Those fitness trackers you are wearing, they are now helping you earn discounts by showing insurers that you are staying active. Then there is blockchain technology making your personal health data more secure, while IoT devices are quietly working to make everything more responsive when you need help. All of this adds up to something pretty significant. A better experience overall. When you are shopping around for coverage, look for providers who have embraced this tech in ways that make your life easier, rather than just talking about innovation for the sake of it. Disclaimer This article is from the Brand Desk. User discretion is advised.
Al Etihad
6 days ago
- Business
- Al Etihad
Khaled bin Mohamed bin Zayed attends MBZUAI 2025 commencement ceremony
28 May 2025 16:27 ABU DHABI (ALETIHAD)His Highness Sheikh Khaled bin Mohamed bin Zayed Al Nahyan, Crown Prince of Abu Dhabi and Chairman of the Abu Dhabi Executive Council, has attended the 2025 commencement ceremony of Mohamed bin Zayed University of Artificial Intelligence (MBZUAI).The graduating class comprised of 104 students, making it MBZUAI's largest and most diverse cohort to date. The cohort included 13 PhD and 91 master's degree graduates across the university's three specialisations: Computer Vision (CV), Machine Learning (ML), and Natural Language Processing (NLP).His Highness Sheikh Khaled bin Mohamed bin Zayed Al Nahyan congratulated the graduates on their achievement, and honoured several PhD and master's recipients, wishing them continued success in their academic and professional journeys, encouraging them to apply their knowledge and expertise in advancing the nation's development and helping to build an innovation-led, technology-driven economy. Khaled bin Mohamed bin Zayed attends MBZUAI 2025 commencement ceremony His Highness emphasised the UAE leadership's firm belief that shaping the future begins with knowledge, science, and technological advancement, noting that the UAE continues to strengthen its position as a leading global hub for artificial intelligence research and development by building an integrated ecosystem that places AI in the service of people and society, while reinforcing national leadership in key strategic ceremony was attended by Dr Sultan Ahmed Al Jaber, UAE Minister of Industry and Advanced Technology, Khaldoon Khalifa Al Mubarak, Chairman of the Executive Affairs Authority and Chairman of MBZUAI's Board of Trustees, Dr Ahmed Mubarak bin Nawi Al Mazrouei, Chairman of the President's Office for Strategic Affairs and Chairman of the Abu Dhabi Executive Office, Faisal Abdulaziz Al Bannai, Adviser to the UAE President for Strategic Research and Advanced Technology Affairs,Sara Awadh Musallam, Chairperson of Abu Dhabi Department of Education and Knowledge, Mansour Ibrahim Al Mansouri, Chairman of the Department of Health – Abu Dhabi, Ahmed Tamim Al Kuttab, Chairman of the Department of Government Enablement, Major General Ahmed Saif bin Zaitoon Al Muhairi, Commander-in-Chief of Abu Dhabi Police, Saif Saeed Ghobash, Secretary General of the Abu Dhabi Executive Council and Chairman of the Office of the Crown Prince, Professor Eric Xing, MBZUAI President and University Professor, Timothy Baldwin, MBZUAI Provost, members of the university faculty, and graduates' year's cohort has 20 Emirati graduates, the highest number since the university's inception, including one PhD graduate in Computer Vision (CV) and nine local female graduates in different AI specialities, underscoring the university's commitment to cultivating homegrown talent to lead artificial intelligence-related from the 2025 class represent 24 countries, including Pakistan, India, Egypt, Kazakhstan, and Italy, as well as first-time graduates from Armenia, Bangladesh, Comoros, Dominica, Eritrea, Norway, Serbia, and Uruguay, underscoring the university's growing international reach and its commitment to attracting top global now boasts an expanding alumni network of 316 AI specialists, driving transformation across industries worldwide. Nearly 80 per cent of alumni started working in Abu Dhabi within one year of graduation. As the university expands to offer 13 graduate programmes and launches its first undergraduate programme – a Bachelor of Science in AI with Business and Engineering tracks – it continues its mission to shape the future of AI locally, regionally and internationally. Source: Aletihad - Abu Dhabi
