29 results on '"Sudeep Pasricha"'
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2. MLTL: Manifold-Based Long-Term Learning for Indoor Positioning using WiFi Fingerprinting.
3. SCRIPT: A Multi-Objective Routing Framework for Securing Chiplet Systems against Distributed DoS Attacks.
4. Improving Block Management in 3D NAND Flash SSDs with Sub-Block First Write Sequencing.
5. Accelerating Neural Networks for Large Language Models and Graph Processing with Silicon Photonics.
6. CALLOC: Curriculum Adversarial Learning for Secure and Robust Indoor Localization.
7. COMET: A Cross-Layer Optimized Optical Phase-Change Main Memory Architecture.
8. Silicon Photonic 2.5D Interposer Networks for Overcoming Communication Bottlenecks in Scale-out Machine Learning Hardware Accelerators.
9. OPIMA: Optical Processing-in-Memory for Convolutional Neural Network Acceleration.
10. ARTEMIS: A Mixed Analog-Stochastic In-DRAM Accelerator for Transformer Neural Networks.
11. SENTINEL: Securing Indoor Localization Against Adversarial Attacks With Capsule Neural Networks.
12. SwInt: A Non-Blocking Switch-Based Silicon Photonic Interposer Network for 2.5D Machine Learning Accelerators.
13. Ethical Design of Computers: From Semiconductors to IoT and Artificial Intelligence.
14. SANGRIA: Stacked Autoencoder Neural Networks With Gradient Boosting for Indoor Localization.
15. Life-after-Death: Exploring Thermal Annealing Conditions to Enhance 3D NAND SSD Endurance.
16. AI-Driven Indoor Navigation with Mobile Embedded Systems.
17. A Framework for SLO, Carbon, and Wastewater-Aware Sustainable FaaS Cloud Platform Management.
18. CASA: A Framework for SLO and Carbon-Aware Autoscaling and Scheduling in Serverless Cloud Computing.
19. CAFEEN: A Cooperative Approach for Energy Efficient NoCs with Multi-Agent Reinforcement Learning.
20. AI and Machine Learning Driven Indoor Localization and Navigation with Mobile Embedded Systems.
21. OPIMA: Optical Processing-In-Memory for Convolutional Neural Network Acceleration.
22. SENTINEL: Securing Indoor Localization against Adversarial Attacks with Capsule Neural Networks.
23. ARTEMIS: A Mixed Analog-Stochastic In-DRAM Accelerator for Transformer Neural Networks.
24. Optical Computing for Deep Neural Network Acceleration: Foundations, Recent Developments, and Emerging Directions.
25. Accelerating Neural Networks for Large Language Models and Graph Processing with Silicon Photonics.
26. SANGRIA: Stacked Autoencoder Neural Networks with Gradient Boosting for Indoor Localization.
27. Game-Theoretic Deep Reinforcement Learning to Minimize Carbon Emissions and Energy Costs for AI Inference Workloads in Geo-Distributed Data Centers.
28. Silicon Photonic 2.5D Interposer Networks for Overcoming Communication Bottlenecks in Scale-out Machine Learning Hardware Accelerators.
29. Special Issue on Ethics in Computing.
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