The authors review the advantages and future prospects of neuromorphic computing, a multidisciplinary engineering concept for energy-efficient artificial intelligence with brain-inspired functionality.
Kolmogorov-Arnold Transformer.
Xingyi Yang, Xinchao Wang National University of Singapore 2024 https://arxiv.org/abs/2409.10594 code: https://github.com/Adamdad/kat.
This study introduces the Kolmogorov–Arnold Transformer (KAT), a novel architecture that integrates Kolmogorov-Arnold Networks (KANs)…
Contribute to Adamdad/kat development by creating an account on GitHub.
Transistors, the building blocks of integrated circuits, face growing challenges as their size decreases. Developing transistors that use novel operating principles has become crucial to enhancing circuit performance.
Hot carrier transistors, which utilize the excess kinetic energy of carriers, have the potential to improve the speed and functionality of transistors. However, their performance has been limited by how hot carriers have traditionally been generated.
A team of researchers led by Prof. Liu Chi, Prof. Sun Dongming, and Prof. CHeng Huiming from the Institute of Metal Research (IMR) of the Chinese Academy of Sciences has proposed a novel hot carrier generation mechanism called stimulated emission of heated carriers (SEHC).
In this Review, Panzeri, Moroni, Safaai and Harvey explain how the levels and structures of correlations among the activity of neurons in a population shape information encoding, transmission and readout, and describe how future research could determine how the structures of correlations are optimized.
An exploration of the idea of anti-dark matter and quasi stars and other objects that cannot exist in the universe right now, but may in the future and may have in the past.
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