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"Defensive Few-shot Learning" by Wenbin Li, Lei Wang et al.

This paper investigates a new challenging problem called defensive few-shot learning in order to learn a robust few-shot model against adversarial attacks. Simply applying the existing adversarial defense methods to few-shot learning cannot effectively solve this problem. This is because the commonly assumed sample-level distribution consistency between the training and test sets can no longer be met in the few-shot setting. To address this situation, we develop a general defensive few-shot lear...
Adversarial Attacks Convolutional Neural Networks Efensive Few Shot Learning Distribution Consistency Pisodic Training Graphics Processing Units
Source: uow.edu.au

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Selection of FPGAs and GPUs for AI Based Applications

Even as software algorithms that mimic human thoughts and ideas are the foundation of AI, hardware is also an important component this is where the role of Field Programmable Gate Arrays (FPGAs) and Graphics Processing Units play a vital role.
V Srinivas Durga Prasad Electronic Design Automation Programmable Gate Arrays Graphics Processing Units Machine Learning Artificial Intelligence

CES 2023: Expanding screens, cars that keep the kids quiet in the back, plus Sony uses its playstation technology for self driving cars

The automotive and consumer electronics industries are expected to collide at this yearโ€™s Consumer Electronics Show. Honda has teamed up with Sony, which will use its Playstation technology for self-driving EV cars.
Consumer Electronics Show Drive Hyperion Neural Processing Units Graphics Processing Units Sony Honda Mobility
Source: afr.com

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