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Pioneering the Future: Breakthroughs in Artificial Intelligence and Their Transformative Impact
Ayush N Ramteke1
Sanskar Helamre2
Bhagyashree Kumbhare3
Yamini Kanekar4
12 Students, Department of MCA, Smt. Radhikatai Pandav College of Engineering, Nagpur, Maharashtra, India. 3HOD, Department of MCA, Smt. Radhikatai Pandav College of Engineering, Nagpur, Maharashtra, India. 4Professor, Department of MCA, Smt. Radhikatai Pandav College of Engineering, Nagpur, Maharashtra, India.
Published Online: May-August 2025
Pages: 253-261
Cite this article
No DOIReferences
1.Neuromorphic Computing:
Loihi: A Neuromorphic Manycore Processor with On-Chip Learning.
https://ieeexplore.ieee.org/document/8410796
Focus: Energy-efficient spiking neural networks and neuromorphic chip design.
Mead, C. (2020). How Neuromorphic Computing Uses the Brain as a Model.
https://ieeexplore.ieee.org/document/9083164
2.Generative AI & Creativity:
Rombach, R. et al. (2022). High-Resolution Image Synthesis with Latent Diffusion Models.
https://arxiv.org/abs/2112.10752
Focus: Diffusion models for creative applications.
Bommasani, R. et al. (2021). On the Opportunities and Risks of Foundation Models.
https://arxiv.org/abs/2108.072583.Quantum-Resilient AI:
National Institute of Standards and Technology (NIST). (2023). Post-Quantum Cryptography Standardization.
https://csrc.nist.gov/projects/post-quantum-cryptography/post-quantum-cryptography-standardization
Focus:Quantum-resistant encryption standards.
Harrow, A. W., & Montanaro, A. (2017). Quantum Computational Supremacy.
https://www.nature.com/articles/nature23458
4.Ethical AI & Bias Mitigation:
Mehrabi, N. et al. (2021). A Survey on Bias and Fairness in Machine Learning.
https://dl.acm.org/doi/10.1145/3457607
European Commission. (2021). Proposal for a Regulation on Artificial Intelligence (EU AI Act).
https://digital-strategy.ec.europa.eu/en/library/proposal-regulation-laying-down-harmonised-rules-artificial-intelligence
5.AI in Climate Science:
Rolnick, D. et al. (2019). Tackling Climate Change with Machine Learning.
https://arxiv.org/abs/1906.05433
Focus:AI applications in carbon capture and climate modeling.
Intergovernmental Panel on Climate Change (IPCC). (2023). Climate Change 2023: Synthesis Report.
https://www.ipcc.ch/report/ar6/syr/
Loihi: A Neuromorphic Manycore Processor with On-Chip Learning.
https://ieeexplore.ieee.org/document/8410796
Focus: Energy-efficient spiking neural networks and neuromorphic chip design.
Mead, C. (2020). How Neuromorphic Computing Uses the Brain as a Model.
https://ieeexplore.ieee.org/document/9083164
2.Generative AI & Creativity:
Rombach, R. et al. (2022). High-Resolution Image Synthesis with Latent Diffusion Models.
https://arxiv.org/abs/2112.10752
Focus: Diffusion models for creative applications.
Bommasani, R. et al. (2021). On the Opportunities and Risks of Foundation Models.
https://arxiv.org/abs/2108.072583.Quantum-Resilient AI:
National Institute of Standards and Technology (NIST). (2023). Post-Quantum Cryptography Standardization.
https://csrc.nist.gov/projects/post-quantum-cryptography/post-quantum-cryptography-standardization
Focus:Quantum-resistant encryption standards.
Harrow, A. W., & Montanaro, A. (2017). Quantum Computational Supremacy.
https://www.nature.com/articles/nature23458
4.Ethical AI & Bias Mitigation:
Mehrabi, N. et al. (2021). A Survey on Bias and Fairness in Machine Learning.
https://dl.acm.org/doi/10.1145/3457607
European Commission. (2021). Proposal for a Regulation on Artificial Intelligence (EU AI Act).
https://digital-strategy.ec.europa.eu/en/library/proposal-regulation-laying-down-harmonised-rules-artificial-intelligence
5.AI in Climate Science:
Rolnick, D. et al. (2019). Tackling Climate Change with Machine Learning.
https://arxiv.org/abs/1906.05433
Focus:AI applications in carbon capture and climate modeling.
Intergovernmental Panel on Climate Change (IPCC). (2023). Climate Change 2023: Synthesis Report.
https://www.ipcc.ch/report/ar6/syr/
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