Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...

Abstract: We propose a deep reinforcement learning (RL) method for three-dimensional (3-D) field pattern synthesis and first demonstrate it on a 1-bit reconfigurable intelligent surface (RIS). Desired ...

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...

Aphantasia, the inability to voluntarily generate visual mental imagery, affects approximately 2–5% of the population. The current study investigated how college students with aphantasia navigate ...

Abstract: This paper studies an intelligent omni-surface (IOS)-aided integrated sensing and communication (ISAC) system, where a base station (BS) provides simultaneous target sensing and ...

During my years teaching science in middle school, high school and college, some of my students have resisted teaching that educators call higher-order thinking. This includes analysis, creative and ...

Unmanned surface vehicles (USVs) nowadays have been widely used in ocean observation missions, helping researchers to monitor climate change, collect environmental data, and observe marine ecosystem ...

I was trying to make an example using deep learning to learn a simple xor logic function, but I'm having a lot of problem to understand how to use deep learning with pybrain. Here is the code that I'm ...