The transmission of optical information through random scattering media is a major challenge in optics, biomedical imaging, telecommunications and remote sensing. When light passes through a turbid or ...
Every animal that has ever been studied closely, from the fruit fly to the philosopher, surrenders each day to a state that ...
摘要: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is detrimental ...
ABSTRACT: Groundwater is an essential resource for rural dwellers in Burkina Faso, a country with limited surface water availability. However, localising and accessing groundwater is challenging. This ...
Abstract: The multistage depressed collector (MDC) is a significant component of the traveling wave tube (TWT) that collects the wasted energy of the electron beam after beam-wave interaction. However ...
Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Amid all the hype and hysteria about ChatGPT, ...
The neural networks that power artificial intelligence are modelled on the human brain, but we are quickly loosing the ability to understand them (Credit: Alamy) Many of the pioneers who began ...
Recent progress in novel non-volatile memory-based synaptic device technologies and their feasibility for matrix-vector multiplication (MVM) has ignited active research on implementing analog neural ...
The learning algorithm that enables the runaway success of deep neural networks doesn’t work in biological brains, but researchers are finding alternatives that could. In 2007, some of the leading ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results