Herbalife India and IISc Launch Landmark Study on Healthy Ageing

Herbalife India and IISc Launch Landmark Study on Healthy Ageing

The multi-city initiative will evaluate metabolic health, gut diversity, and biological age across 1,000 participants

BENGALURU, India, Nov. 11, 2026 /PRNewswire/ — Herbalife India and the Indian Institute of Science (IISc) have joined hands to kick off a landmark multi-centric research study, conceptualized around ‘Health & Happiness,’ designed to explore the relationships between metabolic health, community participation, health and happiness, wellness coaching, and biomarker-based scientific evidence in shaping healthy ageing outcomes among Indian adults. The study will be conducted in collaboration with IISc and supported by Herbalife across multiple centres in Bengaluru, Mysuru, Hyderabad, and Chennai.  

Herbalife India and Indian Institute of Science (IISc) representatives at the Health & Happiness Study launch event

As India’s population continues to age, there is growing interest in understanding not only how long people live, but how well they live. While scientific research has increasingly highlighted the importance of nutrition, lifestyle, and metabolic health, less is understood about how factors such as social connection, purpose, wellness support systems, and biological markers interact to influence metabolic health and overall wellness.

The ‘Health & Happiness Study’ is designed to include over 1,000 participants, with each participant being part of the study for approximately six months. Through a multidimensional assessment approach, the study will evaluate physical health, biological markers, gut microbiome composition, nutrition, lifestyle practices, and wellbeing indicators to generate personalized insights and contribute to a deeper understanding of health, happiness and wellness.

“At Herbalife India, we believe people stay healthy when they have the right support around them, whether that’s proper nourishment, people who keep them active or a community that keeps them motivated,” said Mr. Ajay Khanna, Managing Director, Herbalife India. “What we want to know is how much those everyday choices matter as people grow older, and we want the answer to come from Indian lives. Partnering with IISc brings the scientific rigour that kind of question needs.”

“Community, nutrition and daily habits are easy to praise and harder to prove,” said Prof Deepak Saini, Department of Developmental Biology and Genetics, Indian Institute of Science. “Through this collaboration with Herbalife India, we have the opportunity to generate meaningful scientific evidence by tracking real changes in people’s health over time. At IISc, our commitment is to conduct independent, rigorous research and communicate the results transparently, wherever the evidence leads. The knowledge generated could contribute to a deeper understanding of what helps Indians stay healthier for longer and support better health decisions for individuals, healthcare professionals, and policymakers.”

About Herbalife International India Private Ltd.

Herbalife (NYSE: HLF) is a premier health and wellness company, community and platform that has been changing people’s lives with great nutrition products and a business opportunity for its independent distributors since 1980. The Company offers science-backed food and non-food products to consumers in more than 95 markets through independent entrepreneurial distributors who provide one-on-one coaching and a supportive community that inspires their customers to embrace a healthier, more active lifestyle.  

About the Indian Institute of Science (IISc)

The Indian Institute of Science (IISc) was established in 1909 by a partnership between Jamshedji Nusserwanji Tata, the Mysore royal family, and the Government of India. Over the last 117 years, IISc has become India’s premier institute for advanced scientific research and education. Selected as an Institution of Eminence (IoE) in 2018, IISc consistently ranks among the top Indian institutions in global university rankings.

 

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Herbalife India and IISc Launch Landmark Study on Healthy Ageing

IBM Quantum Nighthawk Demonstrates New Levels of Speed and Quality, with Plans to Scale Beyond 1,000 Qubits in 2027

New Nighthawk r3 processor will be built to execute 10,000 quantum operations, enabling larger and more complex computations as IBM advances its roadmap toward fault tolerance

Clients and partners including E.ON, Algorithmiq, and Q-CTRL have run more than 34 billion circuits on Nighthawk r2, reporting speedups of up to 19x beyond previous IBM quantum processors

Enhanced IBM Quantum Platform unites quantum with classical computing in one environment

YORKTOWN HEIGHTS, N.Y., Nov. 11, 2026 /PRNewswire/ — IBM (NYSE: IBM) today announced IBM Quantum Nighthawk r3, its next-generation processor, will be built to accurately execute 10,000 quantum operations across 520 qubits to tackle larger, more complex problems while maintaining the speed and quality demonstrated by the current generation Nighthawk available today.

Renders of IBM Quantum Nighthawk r3 (L), and IBM Quantum Nighthawk r2 (R), IBM’s most powerful processors designed to support 10,000 quantum operations in 2027. (Credit: IBM)

In 2027, IBM plans to link two Nighthawk r3 processors into a single system with more than 1,000 qubits.

To be at the frontier of quantum computing, industry-relevant applications demand both computational quality and speed. Speed matters because a quantum computer delivers its answer in samples: each run of a quantum circuit returns one result. Applications increasingly require circuits executing thousands of quantum operations on approximately 100 qubits or more, generating millions to billions of samples. Scale and quality enable increasingly complex computations, but speed determines whether these demanding workloads can be completed in practical timeframes and at a reasonable cost.

“Useful quantum computing hinges on whether results can be delivered with accuracy and speed, both are fundamental,” said Jay Gambetta, Director of IBM Research and IBM Fellow. “Nighthawk is already showing us what that looks like today. As we scale this architecture to larger and more powerful quantum computers, the capabilities of quantum computation will reach new levels as we integrate more closely with classical resources and march ahead to fault tolerance.”

Nighthawk r2: Delivering Speed for Real-World Workloads

Introduced in September, IBM Quantum Nighthawk r2 delivers up to 100,000 samples per second while supporting accurate computations with more than 7,500 quantum operations on 120 qubits. Its high-speed qubit reset technology dramatically reduces the time between circuit executions, enabling applications to collect the millions or billions of samples needed for complex computations far more efficiently.

Clients and partners including E.ON, Algorithmiq, and Q-CTRL have executed 34 billion circuits on Nighthawk r2 to date, reporting performance improvements of up to 19x while maintaining the quality needed for scientific computation.

The results are already demonstrating value across industries. E.ON reported a 15x speedup on Nighthawk r2 in quantum machine learning for energy grid optimization. IBM used Nighthawk r2 for a 12x speedup of an experiment ran earlier this year with Oak Ridge National Laboratory, which simulated real magnetic materials and produced results consistent with neutron scattering experiments. Both of these speedups were achieved over previous work on IBM Quantum Heron. Quantum Elements and ParityQC are also among the partners reporting significant performance improvements on their own Nighthawk r2 workloads.

The quantum advantage experiments IBM and its partners published in July were first run on IBM Quantum Heron, with circuits and results openly available for independent testing through the community-led Quantum Advantage Tracker. An experiment with Algorithmiq to simulate a heterogeneous quantum material has now been extended to Nighthawk r2, leveraging its speed and connectivity to execute circuits 8 times faster than the original experiment on Heron. At the same time, the new circuits are significantly more challenging for classical computers to simulate, requiring an estimated 240 times more memory to achieve comparable accuracy when using leading classical tensor-network methods.

Nighthawk r3: Scaling to More Than 1,000 Qubits

Building on the performance demonstrated by Nighthawk r2, Nighthawk r3 will extend the same high-speed architecture to larger quantum computers. The new processor is designed to support 10,000 quantum operations on 520 programmable qubits, with 2,034 total physical qubits. It retains r2’s square-lattice connectivity and fast operations while introducing 10 chip-to-chip interconnects, called l-couplers, designed to connect processors into larger systems.

IBM has already demonstrated two critical technologies that enable this modular approach. This year, IBM connected Nighthawk r1 processors using four l-couplers, achieving 99.3 percent quantum state transfer fidelity and progressing toward its 99.9 percent target. IBM also connected two cryogenic modules into a single system for the first time, reaching operating temperature in under five days and cooling below 15 millikelvin.

Together, these advances demonstrate critical progress in modularity and provide confidence in IBM’s ability to scale Nighthawk to larger quantum computers. In 2027, IBM plans to connect two Nighthawk r3 processors into a single 1,040-qubit system, extending its high-performance architecture to larger and more complex computations.

Quantum Meets Classical on the IBM Quantum Platform

Advancing quantum computers requires continued progress in how they work alongside classical compute to handle errors. Industry-relevant workloads will demand layers of quantum error correction and error mitigation techniques alongside noise learning and post-processing. As quantum workloads scale, they will call for more classical resources, and the challenge now is how to best scale this integration.

To unite these paradigms, IBM Quantum Platform is bringing high-performance (HPC) classical and quantum computing together into a single managed environment. Users can now integrate quantum workflows directly with a range of classical compute – whether from their laptop or a powerful supercomputer – or with the HPC and classical resources that are newly available on the platform.

Users are seeing promising results from these integrations. For example, using the new environment, IBM and RIKEN* scientists executed their original sample-based quantum diagonalization (SQD) workflow roughly 5 times faster while performing 100 times more computations than in the original study. Cleveland Clinic and RIKEN also leveraged the platform to automatically process 608 million samples for modeling biologically relevant structures, 33 times faster than without workflow automation.

Enhanced capabilities will also fuel breakthroughs in quantum error correction. IBM Quantum Platform offers pulse-level capabilities to give researchers precise control over how they can detect, understand, and better correct errors within quantum and classical architectures. This helps them better time operations, reset qubits faster, and extract more information from quantum measurements – giving researchers the visibility to improve error correction at its most fundamental levels.

IBM recently launched a new co-design platform for quantum error correction with Oak Ridge National Laboratory and AMD that physically co-locates Nighthawk with ORNL’s Umbra High-Performance Computing (HPC) system, powered by AMD Instinct™ MI355X GPUs and 5th Gen AMD EPYC™ CPUs.

About IBM

IBM is a leading global hybrid cloud and AI, and business services provider, helping clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. Thousands of governments and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM’s hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM’s breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and business services deliver open and flexible options to our clients. All of this is backed by IBM’s legendary commitment to trust, transparency, responsibility, inclusivity and service.

For more information, visit https://research.ibm.com.

Media contacts:

Brittany Forgione

IBM

Brittany.forgione@ibm.com

Erin Angelini

IBM

edlehr@us.ibm.com

* This project is supported by NEDO (New Energy and Industrial Technology Development Organization), an organization under the jurisdiction of Japan’s Ministry of Economy, Trade and Industry (METI)’s “Research and Development of Quantum-Supercomputers Hybrid Platform for Exploration of Uncharted Computable Capabilities” (Project Leader: Mitsuhisa Sato) as part of the “Project for Research and Development of Enhanced Infrastructures for Post 5G Information and Communications Systems (JPNP20017).”

Photo of IBM Quantum Nighthawk r2, the processor capable of speedups up to 19x beyond previous IBM quantum processors. (Credit: IBM)

Photo of IBM Quantum Nighthawk r2, angle in hand, the processor capable of speedups up to 19x beyond previous IBM quantum processors. (Credit: IBM)

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IBM Quantum Nighthawk Demonstrates New Levels of Speed and Quality, with Plans to Scale Beyond 1,000 Qubits in 2027

Cabinet Approves Rs 62,370 Crore Fertiliser Subsidy For Rabi 2026-27

New Delhi, Nov 11: The Union Cabinet, chaired by Prime Minister Narendra Modi, on Wednesday approved a budgetary allocation of approximately Rs 62,370.02 crore for nutrient-based subsidies on phosphatic and potassic (P&K) fertilisers for the 2026-27 rabi season.

Cabinet Approves Rs 62,370 Crore Fertiliser Subsidy For Rabi 2026-27

 Representational Image 

The increased allocation is aimed at ensuring that farmers continue to get essential fertilisers at affordable and reasonable prices despite fluctuations in international fertiliser and raw material costs.

According to an official statement, the approved subsidy outlay is around Rs 24,417.73 crore higher than the Rs 37,952.29 crore allocated for the corresponding rabi season in 2025-26.

Subsidy To Cover DAP And NPKS Fertilisers

The approved Nutrient Based Subsidy (NBS) rates will remain applicable from October 1, 2026, to March 31, 2027, covering the entire rabi season.

The subsidy will apply to various P&K fertilisers, including Di-Ammonium Phosphate (DAP) and different grades of NPKS fertilisers. The government said the decision was taken after reviewing international price trends for fertilisers and key inputs such as urea, DAP, Muriate of Potash (MOP) and sulphur.

Under the arrangement, fertiliser companies will receive subsidies according to the approved and notified rates, helping ensure the availability of these products to farmers at controlled prices.

28 Grades Of P&K Fertilisers Under Subsidy Scheme

The Centre currently makes 28 grades of phosphatic and potassic fertilisers, including DAP, available to farmers at subsidised rates through manufacturers and importers.

The NBS scheme has been in operation since April 1, 2010. It determines subsidy support for P&K fertilisers based on their nutrient content, with the objective of making essential agricultural inputs accessible to farmers.

Focus On Affordable Fertiliser Supply

The latest Cabinet decision is expected to cushion farmers against the impact of rising international fertiliser prices and input costs during the ongoing agricultural season.

The government said the revised subsidy structure would support the uninterrupted availability of P&K fertilisers and help farmers manage cultivation expenses during the rabi crop cycle.

Stand-Up India Scheme Extended Till 2031: 2.5 Lakh Entrepreneurs To Get Loan Support

New Delhi, Nov 11: The Union Cabinet on Wednesday approved a five-year extension of the Stand-Up India Scheme, continuing the programme until March 31, 2031, with the objective of promoting entrepreneurship among women and members of Scheduled Castes (SCs) and Scheduled Tribes (STs).

Stand-Up India Scheme Extended Till 2031: 2.5 Lakh Entrepreneurs To Get Loan Support

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The extended scheme is expected to provide financial assistance to an additional 2.5 lakh entrepreneurs over the next five years. The Cabinet has also approved a credit guarantee corpus of Rs 4,111 crore to strengthen the programme’s lending support.

Launched in April 2016, the initiative has so far facilitated loans to more than 2.75 lakh women, SC and ST entrepreneurs, helping them establish new businesses and expand their economic activities, according to the government.

Loans Of Up To Rs 1 Crore For New Businesses

Under the scheme, eligible beneficiaries can access loans ranging from Rs 10 lakh to Rs 1 crore to establish greenfield enterprises, or businesses set up for the first time in a particular sector.

The financial assistance is offered through composite loans, combining working capital and term loans, or through standalone term loans. The loan amount can cover up to 85 per cent of the total project cost, subject to the scheme’s eligibility conditions.

The programme covers several sectors, including manufacturing, services, trading and allied agricultural activities, offering aspiring entrepreneurs opportunities to establish businesses across different areas.

Credit Guarantee Support To Improve Access

To encourage banks and financial institutions to extend credit to eligible entrepreneurs, the scheme provides credit guarantee coverage of up to 85 per cent of the loan amount. The standard guarantee fee has been fixed at 0.50 per cent.

The government expects the continuation of the programme to improve access to institutional finance for entrepreneurs from underserved communities and encourage the creation of new enterprises.

With the extension, the Centre aims to build on the progress made since 2016 and widen opportunities for women, SC and ST entrepreneurs to participate in India’s economic growth.

Yubi and Protean eGov Technologies join forces to integrate India’s trusted digital rails into the credit lifecycle

Collaboration brings together Protean’s trusted identity and data capabilities and Yubi’s lending platforms, aiming for faster onboarding, sharper underwriting and a seamless digital experience for lenders and borrowers across India

MUMBAI, India, Nov. 11, 2026 /PRNewswire/ — Yubi, the AI-powered operating system for financial services, and Protean eGov Technologies Limited, India’s most trusted digital infrastructure, announced a collaboration to bring trusted digital identity, KYC and data capabilities into the heart of lending across India. The aim is faster customer onboarding, better-informed underwriting and a seamless digital experience for lenders and borrowers alike.

Protean eGov and Yubi sign MoU

India’s credit story is one of real progress, but visibility remains a gap. A recent report[1] found that only 28% of Indian adults (aged 18-60) are credit-active, and another[2] estimated a formal MSME credit gap of over ₹60 lakh crore, in part because lenders have limited access to verified information on how these businesses operate. Closing that gap depends on giving lenders reliable, verified signals on who a borrower is and how their finances work, at the point of decision.

Commenting on the collaboration, Gaurav Kumar, Founder & CEO, Yubi Group, said, “India has built world-class digital public infrastructure, yet lenders still make too many credit decisions without a clear view of who the borrower is. That gap is a big part of what keeps first-time borrowers and small businesses outside the formal system. Protean’s trusted identity and data capabilities, combined with the lending infrastructure Yubi provides to banks and lenders, can help close it. Our aim is to give lenders the confidence to say yes more often, and to give borrowers a faster, fairer and more transparent path to credit, at national scale. That is how we deepen India’s debt market and expand credit accessibility.”

Protean brings trusted identity, verification and data capabilities built for population scale. Yubi, which has facilitated over ₹3.2 lakh crore in credit, brings the lending infrastructure that banks and other lenders run on.

Commenting on this partnership, Mr. Ajay Rajan, MD & CEO, Protean eGov Technologies Limited, said, “Digital Public Infrastructure can be a powerful catalyst for transforming India’s lending ecosystem. Our collaboration with Yubi brings together Protean’s expertise in building trusted, scalable digital infrastructure and Yubi’s technology-led lending platform to simplify lending journeys, strengthen digital trust and drive greater operational efficiency. We see this partnership as an opportunity to translate DPI capabilities into tangible business value and accelerate innovation across the financial services ecosystem’ at scale.” 

India’s credit growth won’t be limited by capital. It will be limited by how fast and how safely a lender can know a borrower. Together, Protean’s comprehensive public rails (identity, KYC, consent, eSign) and Yubi’s cutting-edge lending stack remove that friction at four moments that decide a loan’s economics:

  • Onboard in minutes, not days. Verified identity, KYC and consent are embedded in the journey for individuals and MSMEs. Lower drop-off, lower cost to acquire.
  • Know once, reuse everywhere. CKYC search at onboarding, updates reported back, digital re-KYC, plus portable KYC and documents across co-lending partners. A compliance cost becomes a shared asset.
  • Underwrite on real cash flows. Consented bank statements and ITRs, analysed automatically, give lenders a truer view of how a borrower earns. Better approvals for borrowers and MSMEs with limited credit histories, with sharper risk selection.
  • Close digitally, disburse faster. Agreements, sanction letters and security documents signed and stamped online. Fewer handoffs, faster time-to-cash, a cleaner audit trail.

For borrowers, the aim is a faster, more transparent onboarding and documentation experience, and a fairer chance at credit for new-to-credit customers, small businesses and others still outside the formal system.

Highlighting Protean and Yubi’s differentiation – trust infrastructure meets lending infrastructure, Mr. Rakesh Dosi, Chief Business & Product Officer, Protean eGov Technologies Limited, said, “One platform, one verified borrower, from first click to final signature, built on public rails and scaled by private innovation will be a game changer.”

The collaboration will be carried out within India’s regulatory and consent-based frameworks and in line with applicable laws, including data protection laws, with data privacy and security as a priority.

About Yubi Group

Yubi Group is the world’s only AI-powered operating system (OS) for financial services, founded in 2020 by CEO Gaurav Kumar. The Group comprises YuVerse, Accumn, Spocto X, YuCollect, Yubi Wealth – subsidiaries that together deliver end-to-end AI-based solutions in lending, underwriting, collections and wealth management. Backed by leading investors including Peak XV, Insight Partners, Lightspeed, B Capital Group, Dragoneer, and TVS Capital, Yubi has facilitated over ₹3.2 lakh crore in credit and 3.5 crore transactions, serving 17,000+ enterprises and 6,200+ investors & lenders while reducing collections costs by 57%. The company is redefining transparency, compliance, and performance across India’s financial services sector. Visit www.go-yubi.com to learn more.

About Protean eGov Technologies

Incorporated in December 1995, Protean eGov Technologies Limited is engaged in the business of developing citizen-centric and population-scale e-governance solutions. Protean is an information technology-enabled solutions company conceptualizing, developing, and executing critical and population-scale greenfield technology solutions. The company collaborates with the Indian government and has extensive experience in creating digital public infrastructure and developing innovative citizen-centric e-governance solutions. 

This press release may contain forward-looking statements relating to anticipated future events, business prospects, operational outcomes, and strategic initiatives. Actual results may differ materially from those expressed or implied due to various risks, uncertainties, regulatory developments, and other factors beyond the control of the parties. Neither party undertakes any obligation to update such statements.

[1] https://www.transunioncibil.com/content/dam/transunion-cibil/corporate/documents/Unlocking-Access-Digital-Report-New-Final.pdf [2] https://www.bain.com/globalassets/noindex/2026/bain_report_indias_next_growth_frontier_b2b_commerce_payments_and_credit.pdf 

 

 

 

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Yubi and Protean eGov Technologies join forces to integrate India's trusted digital rails into the credit lifecycle

Woxsen University and Apollo Healthcare Academy Sign MoU to Launch a Department of Allied Health Sciences

HYDERABAD, India, Nov. 11, 2026 /PRNewswire/ — Woxsen University and Apollo Healthcare Academy, part of Apollo Knowledge, have signed a Memorandum of Understanding (MoU) to set up a Department of Allied Health Sciences under Woxsen’s School of Sciences. The department will offer bachelor’s programmes in allied health from the academic year 2027-28. The partnership aims to address the shortage of allied health professionals in India and worldwide. It will give students strong academic foundations along with firsthand clinical training.

Woxsen University Signs MoU with Apollo Healthcare Academy

In Phase 1, the department will offer four undergraduate programmes: Bachelor of Medical Radiology and Imaging Technology (B. MRIT), Bachelor of Physiotherapy (BPT), Bachelor of Anesthesia and Operation Theatre Technology (B.AOTT), and Bachelor of Cardiovascular Technology (B.CVT). The programmes will combine Woxsen University’s academic infrastructure with Apollo Healthcare Academy’s clinical expertise to produce graduates who are ready to work in hospitals. More allied health disciplines will be added in Phases 2 and 3.

The curriculum will follow the guidelines set by the National Commission for Allied and Healthcare Professions (NCAHP). Students will train at Apollo Hospitals and affiliated healthcare facilities. Every programme ends with a full year of structured internship across Apollo and partner hospitals network.

Addressing a National and Global Need

India faces a shortage of an estimated 6.2 million allied health professionals. The World Health Organization (WHO) and health systems around the world also report a growing shortage, and it will widen as populations age and the demand for care rises. This partnership will help close the gap by preparing graduates who are skilled, confident, and ready to work from day one.

Voices from the Partnership

Mr. Vishal Khurma, Group CEO, Woxsen University, said, “At Woxsen, we are committed to setting new benchmarks in Allied Health Sciences education by moving decisively beyond conventional classroom-led learning to an immersive, industry-integrated model. Our partnership with Apollo Knowledge gives students unparalleled access to world-class clinical infrastructure, innovative laboratories, advanced medical equipment, and simulators, alongside the expertise of Apollo’s leading healthcare specialists, who will actively shape their learning journey. With a full year dedicated to structured internships across Apollo’s extensive hospital network, we are ensuring that every student graduates with substantial firsthand clinical experience and industry readiness. Our vision is to develop exceptionally skilled, clinically confident healthcare professionals who are ready to make a difference from day one.”

Dr. Daya Shankar Tiwary, Dean, School of Sciences, Woxsen University, said, “We are committed to building the next generation of Allied Health professionals who combine rigorous scientific foundations with deep clinical competence. With Apollo’s unmatched hospital network and our academic strength, we are building a pipeline of healthcare talent that India urgently needs.”

Asheesh Sharma, Chief Business Officer, Apollo Knowledge, said, “Hospitals need allied health professionals who can work with patients from their first day on the job. Apollo Healthcare Academy trains students to the standard that hospitals expect. With Woxsen, students will learn the science on campus and practise it in our hospitals, and they will spend a full year working alongside Apollo clinicians. Apollo has placed more than 5,000 healthcare professionals in India and abroad. Woxsen graduates will have access to these same career pathways.”

What Students Can Expect

  • Industry-relevant curriculum co-developed by academic experts and hospital clinicians, in line with NCAHP guidelines
  • Expert faculty from Woxsen University and Apollo Healthcare Academy
  • Modern laboratories, advanced medical equipment, and simulators
  • Structured clinical training, with a full-year internship across Apollo’s hospital network
  • Scholarships for eligible students
  • Global readiness support, including bridge programmes, language training, and licensing support
  • Placement assistance through Apollo Hospitals and partner networks

Shaping the Future of Healthcare

With this MoU, Woxsen University and Apollo Healthcare Academy reaffirm their commitment to allied health education and to tackling the healthcare workforce shortage. Together, they aim to build a steady supply of skilled allied health professionals for India and the world.

About Woxsen University

Woxsen University, Hyderabad, in 2014 as the Woxsen School of Business and received university status in 2020. It is one of the first private universities in Telangana. The university is located on a 200-acre residential campus at Sadasivpet, near Hyderabad. It offers undergraduate, postgraduate, and doctoral programmes through its schools of Business, Technology, Art and Design, Liberal Arts, Law, Architecture and Sciences. Woxsen is ranked No. 5 in the Asia-Pacific region in the Bloomberg Businessweek B-School Rankings 2026-27. The new Department of Allied Health Sciences under the School of Sciences extends the university’s work into healthcare education.

About Apollo Healthcare Academy

Apollo Healthcare Academy, part of Apollo Knowledge, is dedicated to developing high-quality, workforce-ready healthcare talent across India. With a focus on allied health sciences, the academy delivers practically immersive programmes co-developed with leading clinicians and academic experts. Through its strong integration with Apollo Hospitals, the academy provides students with hands-on clinical exposure, internships, and career pathways in India and abroad.

Media contact: Ahana Bose | ahana.bose@woxsen.edu.in 

 

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Woxsen University and Apollo Healthcare Academy Sign MoU to Launch a Department of Allied Health Sciences

Odisha Vegetable Prices Rise During Kartik As Crop Damage Disrupts Supply In Cuttack

Cuttack, Nov 11 (UDN): Consumers in Cuttack are facing higher vegetable prices during the holy month of Kartik, as increased demand and disruptions in supply push up the cost of essential kitchen items.

Odisha Vegetable Prices Rise During Kartik As Crop Damage Disrupts Supply In Cuttack

 Representational Image 

With many households observing Kartik by following a vegetarian diet, demand for fresh vegetables has risen. At the same time, rainfall-related crop damage in neighbouring states and flood losses in parts of Odisha have reportedly affected the supply chain, adding to the pressure on prices.

Brinjal is currently selling at around Rs 60 per kg in Cuttack markets, while pointed gourd (potala), yardlong beans (jhudanga) and French beans are priced at nearly Rs 100 per kg.

Rainfall And Flood Damage Disrupt Supply

Odisha depends on neighbouring states for supplies of several varieties of vegetables. However, prolonged rainfall in those states has reportedly damaged crops and disrupted the flow of produce into local markets.

The situation has been compounded by flood-related damage to vegetable cultivation in parts of Odisha. Many local farmers are also yet to harvest their crops, leaving markets with limited arrivals.

The gap between demand and available supply has contributed to the rise in retail prices, affecting household budgets during Kartik.

Vendors Hope For Improvement In Arrivals

Vegetable sellers say the supply of fresh produce has not improved sufficiently with the onset of winter, keeping prices elevated.

A vendor said pointed gourd was being sold at around Rs 70 per kg, while yardlong beans, which were earlier available for Rs 50 per kg, were no longer being sold at that rate. The seller attributed the higher prices to limited arrivals and expressed hope that rates would decline once supplies improve.

Consumers Say Transport Costs Also Matter

Consumers, however, have differing views on the price rise. Some believe the current rates are reasonable, considering that a significant quantity of vegetables is being brought into Odisha from outside the state.

One customer said prices were not excessively high and had remained more or less stable in recent days. The customer added that transportation costs naturally affect the final retail price.

With Kartik-related demand continuing, consumers will be watching for an improvement in market arrivals and some relief in vegetable prices in the coming days.

The Next Generation of Education: How AI Will Shape Teaching and Learning by 2027

Artificial Intelligence (AI) is transforming the education sector by making learning more personalized, interactive, flexible, and accessible. By 2027, AI-powered tutors, smart classrooms, personalized learning platforms, and automated assessment systems are expected to play an important role in education. These technologies help students understand difficult concepts, improve academic performance, and receive instant feedback. Teachers can also use AI tools to prepare lessons, create study materials, evaluate assignments, and monitor students’ progress.The Next Generation of Education: How AI Will Shape Teaching and Learning by 2027

However, the increasing use of AI in education also creates challenges related to data privacy, academic dishonesty, digital inequality, and overdependence on technology. It is important to use AI responsibly while maintaining the importance of human teachers. Overall, Artificial Intelligence will play a significant role in shaping the future of education by 2027, making learning more innovative, efficient, inclusive, and student-centered.

The Next Generation of Education

Education is entering a new era where technology is reshaping the way knowledge is shared, understood, and applied. The integration of Artificial Intelligence (AI), digital learning platforms, smart classrooms, and virtual learning environments is creating new possibilities for students and educators. By 2027, learning is expected to become more personalized and interactive, allowing students to explore subjects according to their interests, abilities, and learning speed. AI-based tools will provide instant academic assistance, simplify complex topics, and help learners gain access to quality educational resources beyond traditional classrooms.

In this evolving educational landscape, the focus will shift from simply memorizing information to developing knowledge, creativity, innovation, and practical skills. Teachers will take on a more supportive role by guiding students, encouraging independent thinking, and connecting theoretical knowledge with real-world experiences. Although the adoption of AI brings challenges related to privacy, equal access, and responsible technology use, its potential to improve education is significant. Ultimately, the future of learning will be shaped by a balanced combination of human guidance and intelligent technology, making education more meaningful, inclusive, and future-ready.

1. Personalized Learning Through Artificial Intelligence

One of the most significant benefits of AI in education is personalized learning. Every student has different learning abilities, interests, strengths, and weaknesses. Traditional classrooms often follow a common teaching pace, making it difficult to address every student’s individual requirements.

AI-powered learning platforms can analyze students’ academic performance, identify learning gaps, and recommend suitable educational materials. For example, students who struggle with mathematics can receive additional exercises, explanations, and practice questions, while advanced learners can explore more challenging topics.

This approach allows students to learn at their own pace and develop a stronger understanding of different subjects. By 2027, adaptive learning technologies may become increasingly integrated into digital classrooms, supporting more student-centred educational experiences.

2. AI-Powered Tutors and Virtual Learning Assistants

AI-powered tutors are changing how students access academic support. These intelligent systems can explain difficult concepts, answer questions, generate practice exercises, and provide immediate feedback.

Students can use AI assistants to prepare for examinations, improve their writing skills, understand scientific concepts, and explore new subjects. Unlike traditional tutoring, AI-powered applications can provide assistance beyond regular classroom hours.

Virtual learning assistants can also help students organize study schedules, summarize educational materials, and identify areas that require improvement.

By 2027, advances in generative AI may make virtual tutoring systems more interactive and responsive to individual learning needs. However, these systems should complement classroom teaching rather than replace qualified educators.

3. The Changing Role of Teachers in the AI Era

Artificial Intelligence is gradually transforming the responsibilities of teachers. In traditional education, teachers primarily deliver information and guide students through textbooks and classroom activities. With AI-powered learning tools becoming more accessible, students can independently explore educational information and receive additional academic assistance.

Consequently, the role of teachers is increasingly shifting towards mentoring, guiding, facilitating, and supporting students.

Teachers can use AI applications to prepare lesson plans, create quizzes, develop presentations, and analyze assessment results. This can reduce routine administrative work and provide more time for meaningful classroom interaction.

However, teaching involves empathy, motivation, creativity, emotional support, and ethical guidance. These human qualities remain essential to student development.

The future of education will therefore depend on collaboration between teachers and AI rather than the replacement of human educators.

4. Smart Classrooms and Digital Learning Environments

Smart classrooms are becoming an important part of modern educational development. These learning environments combine artificial intelligence with interactive displays, digital learning platforms, multimedia resources, and connected devices.

AI-powered classroom applications can help teachers evaluate student understanding, identify learning difficulties, and recommend additional learning activities.

Virtual reality (VR) and augmented reality (AR) can further improve classroom experiences by allowing students to explore scientific models, historical environments, and complex concepts through interactive simulations.

Such technologies can make learning more engaging and practical. By 2027, smart classrooms may become more advanced as educational institutions continue integrating AI into their teaching infrastructure.

5. Generative AI and the Future of Academic Learning

Generative AI is one of the most influential developments in educational technology. These tools can generate text, summaries, explanations, presentations, quizzes, and other educational resources.

Students can use generative AI to brainstorm ideas, understand complex topics, organize research, and improve their writing. Teachers can use these applications to develop lesson plans, prepare assignments, and create customized educational materials.

For example, an AI tool can explain a difficult scientific concept in simpler language or generate practice questions for examination preparation.

However, students must understand that AI-generated information is not always accurate. They should verify important information using textbooks, teachers, and reliable academic sources.

Responsible use of generative AI can encourage independent learning while maintaining academic honesty.

6. Inclusive Education and Greater Accessibility

AI has the potential to make education more inclusive by reducing barriers faced by students with different learning requirements.

Speech-to-text applications, text-to-speech systems, real-time translation, and automated captioning can support students with disabilities and multilingual learners.

These technologies can make educational materials easier to understand and improve classroom participation.

AI-powered digital learning platforms can also provide educational resources to students in remote areas who have limited access to traditional educational facilities.

However, achieving inclusive education requires affordable digital devices, reliable internet connectivity, accessible learning materials, and appropriate institutional support.

7. Challenges of Artificial Intelligence in Education

Although AI offers many educational benefits, its implementation also creates several challenges.

Data Privacy and Security: AI platforms may collect personal information, academic records, and student learning behaviour. Educational institutions must protect student data and establish responsible information-management policies.

Academic Integrity: Excessive dependence on AI-generated assignments and answers can reduce independent thinking and create concerns about plagiarism and originality.

Accuracy and Reliability: AI systems may sometimes generate incorrect or misleading information. Students must learn to evaluate and verify AI-generated responses.

Digital Inequality: Students from economically disadvantaged backgrounds may have limited access to digital devices, reliable internet connections, and advanced educational technologies.

Overdependence on Technology: Excessive use of AI may reduce opportunities for critical thinking, creativity, independent problem-solving, and direct human interaction.

Addressing these challenges requires clear educational policies, digital literacy programmes, responsible AI practices, and continuous teacher training.

8. Preparing Students for the Future of Education

As AI becomes more important in education and employment, students will need new skills to succeed in a technology-driven world.

Critical thinking, creativity, communication, collaboration, digital literacy, and problem-solving will remain essential abilities.

AI literacy will also become increasingly important. Students should understand how artificial intelligence works, recognize its limitations, identify potential biases, and use AI tools ethically.

Educational institutions should integrate these skills into their curricula to prepare learners for changing academic and professional environments.

By 2027, the ability to work effectively with AI may become an important advantage for students entering higher education and the workforce.

Conclusion

The next generation of education will be significantly influenced by artificial intelligence. Personalized learning, AI-powered tutors, smart classrooms, generative AI, and accessible digital platforms are creating new opportunities to improve teaching and learning.

By 2027, AI is expected to become an increasingly important educational tool, helping students learn more flexibly and supporting teachers in delivering effective instruction.

However, technological development must be accompanied by responsible implementation, data protection, academic integrity, and equal access to educational opportunities.

Ultimately, artificial intelligence should strengthen rather than replace human teaching. A balanced combination of AI technology and human guidance can create a more personalized, inclusive, interactive, and future-ready education system.

Char Dham Yatra 2026: Kedarnath, Gangotri Close For Winter; Yamunotri To Shut Soon

Dehradun, Nov 11: The 2026 Char Dham pilgrimage season in Uttarakhand is drawing to a close as the portals of Kedarnath Dham were ceremonially shut on Wednesday morning, marking the beginning of the temple’s six-month winter break.

Char Dham Yatra 2026: Kedarnath, Gangotri Close For Winter; Yamunotri To Shut Soon

 Representational Image 

The temple doors were closed at 8:30 AM on November 11, following traditional rituals and religious ceremonies on the auspicious occasion of Bhai Dooj.

The closure ceremony was held amid freezing temperatures and heavy snowfall in the Kedarnath Valley. Despite the harsh weather conditions, thousands of devotees gathered at the Himalayan shrine to have a final darshan of Baba Kedar before the temple shuts for the winter.

The atmosphere turned devotional as chants of ‘Jai Baba Kedar’ echoed across the valley during the ceremonial closure. The temple premises were beautifully decorated with flowers, while priests performed the prescribed rituals before the portals were closed.

Gangotri Dham Also Closed For Winter

Kedarnath is not the only shrine to begin its winter closure. The portals of Gangotri Dham were also shut on Tuesday following traditional religious ceremonies.

With the closure, the temple will remain inaccessible to pilgrims for approximately six months during the harsh winter period.

Meanwhile, preparations are underway for the seasonal closure of Yamunotri Temple, which will mark another major milestone in the conclusion of this year’s Char Dham pilgrimage.

Heavy Snowfall, Freezing Temperatures Mark Final Darshan

The final days of the pilgrimage season witnessed severe cold and snowfall in the Kedarnath region. Nevertheless, devotees continued to arrive in large numbers to seek blessings before the temple doors were closed.

Reports also indicated heavy traffic congestion on roads leading to the shrine due to the rush of pilgrims.

According to estimates cited in reports, around 19 lakh devotees had gathered in the Kedarnath region during the closing period, braving challenging weather conditions for the final darshan.

Six-Month Winter Break Begins

The annual winter closure of the Himalayan shrines is a longstanding religious tradition. During the winter months, extreme snowfall and sub-zero temperatures make access to the high-altitude temples difficult.

With Kedarnath and Gangotri now closed, the 2026 pilgrimage season is nearing its end. Devotees will have to wait until the temples reopen next year to resume their pilgrimage to these sacred Himalayan destinations.

 

Hedra Launches Model Factory, an Autonomous Post-Training and Inference Platform for Real-World AI

 

Hedra brings the self-improvement loop behind frontier research to robotics, manufacturing, biology and defense teams. In under a week, its team made a production image model roughly 6x faster on the same hardware.

San Francisco, CA – Nov 11; Hedra, an a16z-backed research company building models and infrastructure for multimodal and physical AI, today launched Hedra Model Factory, an autonomous post-training and inference platform for building models for the real world. The platform combines flexible GPU sandboxes, post-training run by Hedra researchers working with autonomous AI agents, co-optimized low-latency deployment, and a data flywheel that keeps improving each model after it ships.

Models that improve themselves are accelerating frontier research. Hedra Model Factory applies that loop to real-world problems, where data is multimodal and orders of magnitude larger than text, and where reinforcement learning environments and simulators often need GPU acceleration just to run at scale. Hedra grew revenue 15x over the past 12 months, and the platform opens the research and infrastructure behind that growth to teams that need custom models built on their own data.

“Recursive self-improvement is already changing how frontier models get built,” said Michael Lingelbach, founder and CEO of Hedra. “The next step is the real world, where the data is video, sensors and simulation. Hedra Model Factory gives robotics, manufacturing, biology and defense teams the infrastructure to post-train, deploy and keep improving their own models.”

From Compute to a Data Flywheel

Compute. Hedra GPU sandboxes give teams flexible capacity running on Hedra’s inference engine, so they can scale training up without locking into long-term GPU commitments.

Post-training. Teams bring their simulation engines and data, and Hedra helps build the reinforcement learning environments and datasets they need. Hedra researchers work alongside each customer’s team, using tools such as vision-language models that caption and score data or give feedback during online reinforcement learning. For companies without their own research lab, Hedra researchers also set up data capture, evaluations and the training-to-serving loop.

Deploy. Models run on low-latency compute, on premises or at Hedra‘s nearest partner data center, from distilling world action models to run faster than real time without losing physical coherence to fitting a vision-language-action model onto an edge device. Teams can also bring an existing model to serve on Hedra’s inference engine.

Self-improve. Once a model is deployed, Hedra researchers analyze its production performance, retrain the model and release only versions that pass the customer’s evals.

 Research Results Behind the Factory

Physically consistent video. Hedra retrained H3 for physical consistency. The retrained model scored 34.9 on Google DeepMind’s Physics-IQ benchmark, compared with 30.3 for H3 Max, with comparable visual quality. An autonomously distilled version rendered a five-second clip in under three seconds on AMD MI355X GPUs.

Krea 3 image editing. Through distillation and inference optimization, Hedra cut Krea 3 2K image edits from about 22 seconds to 3.6 seconds on the same four AMD Instinct MI355X GPUs, roughly 6x faster, in under a week. The baseline ran the original bf16 model at 30 sampling steps; the faster result uses a distilled 14-step model. Krea 3 runs on MI355X on Hedra today.

Robot hardware changes. In a simulation study, Hedra fitted a robot running a trained policy with a new gripper and restored task success from near zero to near 100% with no retraining, by matching the new gripper’s reach and grasp point in the wrist camera view.

Recursive self-improvement describes systems that get better at improving themselves. Hedra applies the idea to how models are made: researchers work alongside autonomous AI scientists that run experiments and iterate on training runs, and every deployed model feeds data back into the next version. Hedra’s research pushes toward a model factory that gets faster with every model it produces.

Lingelbach has spent his career on reinforcement learning for visual and physical systems, first at Stanford and NVIDIA. Hedra’s research team brings together talent from Stanford, Berkeley and UIUC, with experience at NVIDIA, Meta Superintelligence Labs, Fireworks AI and Salesforce, and has published research in generative video and embodied AI at NeurIPS, CVPR and ICLR.

 Availability

Hedra Model Factory is available starting today at the new hedra.com. Teams can work with Hedra researchers to build and deploy a custom model for the problem their general-purpose model can’t solve. They can also start with flexible GPU sandbox capacity without long-term commitments or serve an existing model on Hedra‘s inference engine.