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Researchers at the School of Computer Science in Uttarakhand, India, have developed an explainable artificial intelligence (AI) model for identifying local indicators and detecting lung disease from chest X-ray images. The model aims to mimic the decision-making process of radiologists by identifying critical regions in the images and training the model on these regions. The research found that the model achieved 99.6% accuracy with fewer epochs, showing remarkable improvement. This study highlights the potential of AI in diagnosing lung illnesses and the importance of explainability for the clinical deployment of AI models in the healthcare sector. [Extracted from the article]

A new report from the Department of Computer Sciences and Engineering in Tamil Nadu, India, discusses the use of big data analytics in organ transplantation. The report proposes a modified convolutional neural network-hybrid extreme learning machine (MCNN-HELM) model to predict suitable organ donors for recipients, with a focus on minimizing waiting time and improving the quality of life for high-risk patients. The MCNN-HELM model achieves a training accuracy of 97.5% and outperforms other state-of-the-art methods. This research has been peer-reviewed and provides valuable insights into improving decision-making in organ transplantation. [Extracted from the article]

A report from researchers in Andhra Pradesh, India discusses the use of cloud computing, artificial intelligence (AI), and machine learning in predicting diabetes. The researchers propose a paradigm for smart healthcare systems that utilize data science and cloud-enabled platforms. They use data science capabilities to rank features and make predictions using a neural network model. The accuracy achieved by the classifier is 77.9%, with a positive predictive value of 79.3%. The research has been peer-reviewed and can be found in the journal Multimedia Tools and Applications. [Extracted from the article]

The article presents information on two Indian engineers, Shambhu Upadhyaya and Kaliappa Ravindran, who have made their mark internationally in the field of computer science and software engineering. Upadhyaya and Ravindran became friends while studying at the Indian Institute of Science in Bangalore, India. After receiving their bachelor's and master's degrees, both became colleagues at Bangalore based the Indian Space Research Organization. To pursue Ph.D. degrees, they went their separate ways. Ravindran went to the University of British Columbia in Canada, where became a faculty member of the City College of the City University of New York in New York City. Upadhyaya went to the University of Newcastle in Australia and joined the faculty of the University of Buffalo. Both ended up in New York. They remained out of touch for more than 20 years when Kevin Kwiat of the Air Force Research Laboratory's Information Directorate presented papers at two different symposia, and met both of them individually. He invited them to the Air Force Office of Scientific Research Summer Faculty Fellowship Program, where they both met after a long time. With their famous research works publishing widely, students follow their initial research and succeed.

The Association for Computing Machinery Executive Committee and Senior Headquarters Staff hosted an important planning meeting in Singapore on March 17, 1996. Discussion centered on issues related to computing in the Asia Pacific region, ways to facilitate the participation of people from the region in ACM, and possible new ACM programs for the region. Nine countries were represented: Australia, Hong Kong, India, Japan, Korea, New Zealand, Singapore, Taiwan and Thailand. Several of the ACM leadership in Western Europe also participated. The feasibility of a number of activities for the Asia Pacific region will be investigated. ACM would collaborate with the national societies. The organizing and program committees would be composed mainly of individuals from the region, with some participation from the U.S. and Europe. Due to the large populations of India and China and the growing interest in IT, there is significant potential for ACM in India and China. Natural "champions" to lead those efforts already exist in ACM Chapters in India and Hong Kong.