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Wednesday Plenary: Machine Learning and Hardware Security Technologies for the Nanoscale era: Challenges & Opportunities [PDF]
, 2019 Ram Krishnamurthy
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Computing & Processing(Hardware/Software). Information Security [PDF]
, 2020 openalex +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.It is a fact that slippage causes tracking errors in both longitudinal and lateral directions which results to have less travel distance in tracking a reference trajectory. Less travel distance means having energy loss of the battery and carrying loads less than planned.
Gokhan Bayar +2 more
wiley +1 more source
Call for Papers SSpecial Issue on Hardware Oriented Security and Trust: Threats, Countermeasures and Design Tools [PDF]
, 2019 openalex +1 more source
Teleoperated Magnetic Endoscopy: A Case Study and Perspective
Advanced Intelligent Systems, EarlyView.This perspective highlights the recent research efforts in robotic magnetic platforms for telesurgery and their translation to clinical settings for endoscopic procedures. To demonstrate this approach, this work also introduces an in vivo gastroscopy performed in a porcine model, during which an operator in Zurich, Switzerland, successfully controls a ...
Alexandre Mesot +8 more
wiley +1 more source
Reinforcement Learning for Hardware Security: Opportunities, Developments, and Challenges [PDF]
, 2022 Satwik Patnaik +3 more
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Uncontrolled Learning: Codesign of Neuromorphic Hardware Topology for Neuromorphic Algorithms
Advanced Intelligent Systems, EarlyView.Codesign is used to implement a neuroscience‐inspired machine learning algorithm in all neuromorphic hardware. In this implementation, the hidden memristors cannot be directly accessed, limiting control of the network during training. By leveraging theoretical tools, including memristor circuits dynamics and a closed form expression for the network ...
Frank Barrows +3 more
wiley +1 more source