Muhammad Shafique – författare

Energy Efficiency and Robustness of Advanced Machine Learning Architectures

A Cross-Layer Approach

Energy Efficiency and Robustness of Advanced Machine Learning Architectures

A Cross-Layer Approach

Hardware/Software Architectures for Low-Power Embedded Multimedia Systems

3D Video Coding for Embedded Devices

Energy Efficient Algorithms and Architectures

Hardware/Software Architectures for Low-Power Embedded Multimedia Systems

3D Video Coding for Embedded Devices

Energy Efficient Algorithms and Architectures

Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing

Hardware Architectures

Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing

Hardware Architectures

Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing

Software Optimizations and Hardware/Software Codesign

Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing

Software Optimizations and Hardware/Software Codesign

Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing

Use Cases and Emerging Challenges

Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing

Use Cases and Emerging Challenges

Reliable Software for Unreliable Hardware

A Cross Layer Perspective

Energy Efficient Embedded Video Processing Systems

A Hardware-Software Collaborative Approach

Advanced Techniques for Power, Energy, and Thermal Management for Clustered Manycores

Reliable Software for Unreliable Hardware

A Cross Layer Perspective

Energy Efficient Embedded Video Processing Systems

A Hardware-Software Collaborative Approach

Approximate Circuits

Methodologies and CAD

Robust AI: Security and Privacy Issues in Machine Learning

Pre-adoption Scrutiny of Security and Privacy Guarantees of AI Algorithms