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Wrapping Up My Micron Internship: CIM-NVM Pathfinding for LLM Inference
Reflections on my experience as a Machine Learning Engineer Intern at Micron Technology, analyzing NVM-based Compute-in-Memory architectures for LLM inference acceleration.
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Energy-Aware Spike Budgeting for Continual Learning in SNNs: Our NCE 2026 Paper
A deep dive into our Neuromorphic Computing and Engineering paper on adaptive spike budgeting for continual learning in spiking neural networks for neuromorphic vision.
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RMAAT Accepted at ICLR 2026: Bringing Astrocyte Biology to Efficient Transformers
A deep dive into our ICLR 2026 paper on astrocyte-inspired memory for long-context Transformers.
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Bridging Academia and Industry: My Intel Internship Journey in AI-Driven Semiconductor Manufacturing
Reflections on my transformative experience as a Graduate Technical Intern at Intel Corporation, exploring the intersection of AI, machine learning, and advanced semiconductor process development.
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Introduction to Neuromorphic Computing: The Future of Brain-Inspired AI
Comprehensive introduction to neuromorphic computing, brain-inspired AI, and spiking neural networks. Learn about the latest advances in neuromorphic hardware and applications.