Results 291 to 300 of about 4,177,235 (310)
Decoding the Solution for Man-at-the-End Attacks and Reverse Engineering on IoMT Devices: An Experimental Review of Techniques and Defences. [PDF]
T AH, Sriraman H.
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
A virtual reality experiment system for an introductory computer hardware course
Computer Applications in Engineering Education, 2021The University Computer Foundation (UCF) course, which is a compulsory theoretical course for freshmen, especially science and engineering department students, lays the foundation for more advanced courses.
Xinrun Chen +5 more
semanticscholar +1 more source
Hardware-Software Co-Design for Brain-Computer Interfaces
International Symposium on Computer Architecture, 2020Brain-computer interfaces (BCIs) offer avenues to treat neurological disorders, shed light on brain function, and interface the brain with the digital world.
I. Karageorgos +7 more
semanticscholar +1 more source
A Survey on Neuromorphic Computing: Models and Hardware
IEEE Circuits and Systems Magazine, 2022The explosion of “big data” applications imposes severe challenges of speed and scalability on traditional computer systems. As the performance of traditional Von Neumann machines is greatly hindered by the increasing performance gap between CPU and ...
Amar Shrestha +5 more
semanticscholar +1 more source
ACT: designing sustainable computer systems with an architectural carbon modeling tool
International Symposium on Computer Architecture, 2022Given the performance and efficiency optimizations realized by the computer systems and architecture community over the last decades, the dominating source of computing's carbon footprint is shifting from operational emissions to embodied emissions ...
Udit Gupta +6 more
semanticscholar +1 more source
International Symposium on Computer Architecture, 2021
The self-attention mechanism is rapidly emerging as one of the most important key primitives in neural networks (NNs) for its ability to identify the relations within input entities.
Tae Jun Ham +6 more
semanticscholar +1 more source
The self-attention mechanism is rapidly emerging as one of the most important key primitives in neural networks (NNs) for its ability to identify the relations within input entities.
Tae Jun Ham +6 more
semanticscholar +1 more source
Design of Quantum Computer Antivirus
IEEE International Symposium on Hardware Oriented Security and Trust, 2023The development of quantum computers has been advancing rapidly in recent years. In addition to researchers and companies building bigger and bigger machines, these computers are already being actively connected to the internet and offered as cloud-based
S. Deshpande +7 more
semanticscholar +1 more source
There’s plenty of room at the Top: What will drive computer performance after Moore’s law?
Science, 2020From bottom to top The doubling of the number of transistors on a chip every 2 years, a seemly inevitable trend that has been called Moore's law, has contributed immensely to improvements in computer performance. However, silicon-based transistors cannot
C. Leiserson +6 more
semanticscholar +1 more source
Playing for Data: Ground Truth from Computer Games
European Conference on Computer Vision, 2016Recent progress in computer vision has been driven by high-capacity models trained on large datasets. Unfortunately, creating large datasets with pixel-level labels has been extremely costly due to the amount of human effort required.
Stephan R. Richter +3 more
semanticscholar +1 more source

