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Recent Trends in Artificial Intelligence-inspired Electronic Thermal Management
The rise of computation-based methods in thermal management has gained immense attention in recent years due to the ability of deep learning to solve complex 'physics' problems, which are otherwise difficult to be approached using conventional techniques.
From Convolutions towards Spikes: The Environmental Metric that the Community currently Misses
Today, the AI community is obsessed with 'state-of-the-art' scores (80% papers in NeurIPS) as the major performance metrics, due to which an important parameter, i. e., the environmental metric, remains unreported.
Novel fuzzy approach to Antimicrobial Peptide Activity Prediction: A tale of limited and imbalanced data that models won’t hear
Antimicrobial peptides have gained immense attention in recent years due to their potential for developing novel antibacterial medicines, next-generation anti-cancer treatment regimes, etc.
Challenges of Equitable Vaccine Distribution in the COVID-19 Pandemic
The COVID-19 pandemic has led to a need for widespread and rapid vaccine development.
