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National Conference on Sage Agasthiyar organized by SRM Tamil Academy and Bharatiya Bhasha Samiti, New DelhiSTAFF WRITERTamil Academy of SRM Institute of Science and Technology Kattankulathur, in collaboration with the Bharatiya Bhasha Samiti (under the Ministry of Education, Government of India, New Delhi), successfully organized a National Conference on %u201cSage Agasthiyar: Contributions to Grammar, Literature, and Traditional Medicine%u201d on Wednesday, January 29, 2025.The conference was inaugurated by Dr. Sudha Seshayyan Vice President of the Central Institute of Classical Tamil. Dr. B. Jaiganesh secretary of Tamilperayam welcomed the gathering. Dr. Karu. Nagarasan, Coordinator and Head of the Tamil Academy delivered keynote address. Dr. A. Duraisamy Dean, faculty of science and Humanities felicitated the function. Dr. J. Jegathratcahgan proposed vote of thanks.The conference featured a series of scholarly presentations on various topics, including Agastya%u2019s linguistic theories, grammatical works, literary contributions, traditional medicinal texts, and scientific insights. Eminent scholars contributed research papers and discussions. During the valedictory session, Mr. R. Arunachalam, Estate officer welcomed the gathering.Dr. T.R. Paarivendhar, Chancellor of SRM Institute of Science and Technology, presided over the function and delivered an inspiring speech. Keelambur S. Shankara Subramanian, Editor of Kalaimagal magazine, delivered a special address. As part of the event, an exhibition on Sage Agasthiyar was also organized which received widespread appreciation. Distinguished scholars and dignitaries, including Dr. Tiruppur Krishnan, Dr. O. Muthaiya, Siddha doctor Dr. P. Selva Shunmugam, Pro-Vice Chancellor of SRM Medical Dr. Nithin Madhusudhan Nagarkar, Dr. A. Vinayakumar pro-vice chancellor (SBL), attended and enriched the conference. Other participants including along with numerous students, faculty members from various colleges and universities, researchers, and the general public with a keen interest in Agastya%u2019s contributions. The conference was a grand success. Mr. M. Balasubramani Assistant professor proposed vote of thanks.STAFF WRITERThe Department of Computer Applications, SRM Faculty of Science and Humanities, SRM IST Chennai-KTR, conducted a training session benefiting the students. The transformative potential of Artificial Intelligence (AI) in healthcare is undeniable, and to equip professionals with the skills to harness this power, a hands-on training session on %u201cRecent Trends on AI for Medical Image Processing%u201d was held on March 5th, 2025. This event provided a deep dive into the practical applications of AI in diagnostic imaging.Key Focus and Training Agenda:Organised by Dr. K. Sathya, Dr. J. Devagnanam, and Dr. Anwar R Shaheen, the training targeted medical professionals, AI practitioners, data scientists, researchers, and students eager to explore the intersection of medical imaging and AI. The comprehensive agenda covered both theoretical foundations and practical applications, including:%u2022Introduction to AI in Medical Imaging: An overview of AI applications, medical imaging modalities (CT, MRI, X-ray, Ultrasound), and current challenges and opportunities.%u2022Deep Learning in Medical Imaging: Exploration of key deep learning concepts (CNNs, RNNs, and transformers) and how they enhance image segmentation, classification, and Empowering Healthcare with AI: Hands-on Training on Medical Image Processing orgnised by Department of Computer Applicationsdiagnosis, with case studies in oncology, neurology, and cardiology.%u2022Hands-on Session: Image P r e p r o c e s s i n g a n d Augmentation: Practical experience with data preprocessing techniques (normalization, resizing, augmentation) using Python libraries like OpenCV, NumPy, and TensorFlow, and exploring augmentation techniques to improve model performance.%u2022B u i l d i n g A I M o d e l s f o r M e d i c a l I m a g e Segmentation: Hands-on coding sessions focused on training CNN-based architectures (U-Net, R e s N e t ) f o r i m a g e s e g m e n t a t i o n , a n d techniques for addressing imbalanced datasets, overfitting, and underfitting.%u2022AI for Disease Detection: A Practical Approach: Application of deep learning models for early disease detection (e.g., lung cancer from chest X-rays, skin cancer from images), transfer learning, and evaluation metrics (accuracy, sensitivity, specificity, AUC).%u2022Deploying AI Models for Real-World Applications: O v e r v i e w o f m o d e l deployment on cloud platforms (Google Cloud, AWS, Azure), integration of AI tools into healthcare systems, and regulatory and ethical considerations.%u2022Q&A and Networking Session: Interactive discussions on realworld implementation, ethical dilemmas, and regulatory concerns, fostering collaboration and knowledge sharing.Key Highlights and Outcomes:The training emphasised a practical focus, enabling participants to immediately apply their learning through hands-on coding exercises with medical image data and AI-based image analysis tools. The event featured expert speakers who shared insights into the latest AI trends, including transformers for multimodal data and advances in explainable AI. Collaboration and networking were also key, with interactive Q&A sessions facilitating connections among professionals.Participants worked with tools and technologies like TensorFlow, PyTorch, Keras, OpenCV, NumPy, Scikit-learn, Jupyter Notebooks, Google Colab, and publicly available Brain tumour datasets.SRMIST Founder Chancellor Dr.T.R.Paarivendhar at the National Conference on Sage AgasthiyarDeputy Dean FSH Dr.S.Albert Antony Raj felicitates the chief guest2025 | Spectrum | Volume 18 Number 4 21