5 papers
Interpolation of Non-Linear Functions for LLMs using Partial Reconfiguration in FPGAs
Roger Morales-Monge, Nazareth Jimenez-Chacon, Jose Gabriel Villalobos-Alvarado +2
Non-linear functions such as exponential and sigmoid are essential in AI and LLM acceleration, although implementing them efficiently on FPGAs is still costly. This paper proposes…
CAMTA: A Reconfigurable Multi-Region Activation Unit for Nonlinear Function Approximation
Carlos Soto-Porras, Jose Fonseca-Cruz, Pablo Ramirez-Morera +3
Nonlinear activation functions are widely used in machine learning workloads, but their direct hardware implementation is often costly, function-specific, or difficult to reuse acr…
COSI-Lab: Conference Living Lab for Modeling Multi-Perspective Multimodal Social Intention
Zonghuan Li, Litian Li, Arthur Mercier +17
COSI-Lab presents a multimodal, multi-sensor dataset of an interdisciplinary scientific workshop containing 32 academics at an international conference. It captures ecologically va…
A Quantitative Evaluation of Approximate Softmax Functions for Deep Neural Networks
Anthony Leiva-Valverde, Fabricio Elizondo-Fernández, Luis G. León-Vega +2
The softmax function is a widely used activation function in the output layers of neural networks, responsible for converting raw scores into class probabilities while introducing…
Exploring DNN Robustness Against Adversarial Attacks Using Approximate Multipliers
Mohammad Javad Askarizadeh, Ebrahim Farahmand, Jorge Castro-Godinez +3
Deep Neural Networks (DNNs) have advanced in many real-world applications, such as healthcare and autonomous driving. However, their high computational complexity and vulnerability…