Cybersecurity has always been an arms race where the enemy’s arsenal is more sophisticated than ever. These attacks are getting smarter, faster, and ...

Dr. Nir Shlezinger, a researcher into AI machine learning at Ben-Gurion University of the Negev has been awarded this year’s ...

Logarithms and square root are non-elementary operations frequently used in digital signal processing. In this work, implementation and design of an IP-Core to ...

However, to the best of our knowledge no previous work hassucceeded at using deep neural networks in structured (parameterized)continuous action spaces. To fill this gap, this paper focuses onlearning ...

We present the semantic-consistent signal pretransformation (ScSP), a parameterized transformation architecture that ensures signals with identical semantics exhibit similar representations. ScSP is ...

Rich, Patricia Blokpoel, Mark de Haan, Ronald and van Rooij, Iris 2020. How Intractability Spans the Cognitive and Evolutionary Levels of Explanation. Topics in Cognitive Science, Vol. 12, Issue. 4, p ...

This is an official pytorch implementation of our paper "SLAB: Efficient Transformers with Simplified Linear Attention and Progressive Re-parameterized Batch Normalization". In this paper, we ...