Zobrazeno 1 - 10
of 2 421
pro vyhledávání: '"Jayadeva"'
Publikováno v:
Frontiers in Materials, Vol 11 (2024)
Artificial intelligence (AI) and machine learning (ML) have enabled property-targeted design of glasses. Several machine learning models and open-source tools in the literature allow researchers to predict the optical, physical, mechanical, and elect
Externí odkaz:
https://doaj.org/article/fc6cfa4dcddc43aa8da52602259e210b
Publikováno v:
IEEE Access, Vol 11, Pp 19645-19656 (2023)
Machine learning (ML) has gained recognition as an efficient and robust technique to realize the solution of electromagnetic forward and inverse problems. This article introduces a hybrid ML framework that simultaneously acts as a forward and inverse
Externí odkaz:
https://doaj.org/article/4dd9aac47ee94ece9a57aa2137f3824c
Autor:
Smriti Chawla, Anja Rockstroh, Melanie Lehman, Ellca Ratther, Atishay Jain, Anuneet Anand, Apoorva Gupta, Namrata Bhattacharya, Sarita Poonia, Priyadarshini Rai, Nirjhar Das, Angshul Majumdar, Jayadeva, Gaurav Ahuja, Brett G. Hollier, Colleen C. Nelson, Debarka Sengupta
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-15 (2022)
Predicting treatment response in cancer remains a highly complex task. Here, the authors develop Precily, a deep neural network framework to predict treatment response in cancer by considering gene expression, pathway activity estimates and drug feat
Externí odkaz:
https://doaj.org/article/02a9dee061714a6ca6f4b672374147c3
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 3, p 035049 (2024)
The time evolution of physical systems is described by differential equations, which depend on abstract quantities like energy and force. Traditionally, these quantities are derived as functionals based on observables such as positions and velocities
Externí odkaz:
https://doaj.org/article/df2f09003603451a9802e210a79c593a
Autor:
Mohd Zaki, Sahith Reddy Namireddy, Tanu Pittie, Vaibhav Bihani, Shweta Rani Keshri, Vineeth Venugopal, Nitya Nand Gosvami, Jayadeva, N.M. Anoop Krishnan
Publikováno v:
Journal of Non-Crystalline Solids: X, Vol 15, Iss , Pp 100103- (2022)
Although scientific journals stand as a reliable peer-reviewed source of data, it is often too tedious to manually extract relevant information from papers. This could be attributed to the unstructured data such as images, text, captions, and non-sta
Externí odkaz:
https://doaj.org/article/1b1cdd699ba840d7a06412840e603def
Publikováno v:
Research and Practice in Technology Enhanced Learning, Vol 15, Iss 1, Pp 1-23 (2020)
Abstract Bioscientists such as geneticists and molecular biologists regularly demonstrate the integration of domain concepts and science inquiry practices/skills while explaining a natural phenomenon. The complexity of these concepts and skills becom
Externí odkaz:
https://doaj.org/article/742bbd0b494144a092460438b8eabf6b
Autor:
Hernández, Andrés Domínguez, Krishna, Shyam, Perini, Antonella Maia, Katell, Michael, Bennett, SJ, Borda, Ann, Hashem, Youmna, Hadjiloizou, Semeli, Mahomed, Sabeehah, Jayadeva, Smera, Aitken, Mhairi, Leslie, David
Publikováno v:
In Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency (FAccT '24). Association for Computing Machinery, New York, NY, USA, 776-796
Responding to the rapid roll-out and large-scale commercialization of foundation models, large language models, and generative AI, an emerging body of work is shedding light on the myriad impacts these technologies are having across society. Such res
Externí odkaz:
http://arxiv.org/abs/2407.17129
Autor:
Chitrita Goswami, Smriti Chawla, Deepshi Thakral, Himanshu Pant, Pramod Verma, Prabhat Singh Malik, Jayadeva ▮, Ritu Gupta, Gaurav Ahuja, Debarka Sengupta
Publikováno v:
BMC Genomics, Vol 21, Iss 1, Pp 1-12 (2020)
Abstract Background Early diagnosis is crucial for effective medical management of cancer patients. Tissue biopsy has been widely used for cancer diagnosis, but its invasive nature limits its application, especially when repeated biopsies are needed.
Externí odkaz:
https://doaj.org/article/299bb670c54a462791afb91469cc7718
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-9 (2018)
Algorithms designed to find rare cells in single cell RNA-seq data sets cannot cope with data sets containing tens of thousands of cells. Here the authors present Finder of Rare Entities (FiRE), an algorithm that uses the Sketching technique to assig
Externí odkaz:
https://doaj.org/article/e5f61881b96d473a964962f81525ffb9
Autor:
Leslie, David, Rincon, Cami, Briggs, Morgan, Perini, Antonella, Jayadeva, Smera, Borda, Ann, Bennett, SJ, Burr, Christopher, Aitken, Mhairi, Katell, Michael, Fischer, Claudia
AI systems may have transformative and long-term effects on individuals and society. To manage these impacts responsibly and direct the development of AI systems toward optimal public benefit, considerations of AI ethics and governance must be a firs
Externí odkaz:
http://arxiv.org/abs/2403.15403