Author

Vijay Raghunathan

2 papers indexed here

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2026

CoCoSys: The Co-Design of Cognitive AI from Algorithms to Systems

—The deep-learning scaling that drove the past decade of AI is colliding with hard limits in energy, data, robustness, and explainability, just as emerging applications demand the capabilities neural networks lack: reasoning, abstraction, and collaboration. The CoCoSys JUMP 2.0 center confronts this by co-designing cog...

Zi-Shen Wan, Yu Cao, S. K. Gupta et al. · IEEE Micro · 0 citations

#generative ai Open access Sep 2026

NEXUS: Speeding Up the Next Wave of AI Workloads, GNN and SSM Optimization on NPUs

The rise of on-device AI has transformed modern client PCs into powerful platforms for executing diverse AI workloads locally, enabling low-latency, energy-efficient, and privacy-preserving applications. Traditional on-device AI applications have predominantly focused on computer vision tasks such as image classificati...

Arghadip Das, Arnab Raha, Shamik Kundu et al. · ACM Transactions on Embedded... · 0 citations