Emotion estimation is a field that has been studied for a long time, and several approaches using machine learning models exist. This article presents BlendFER-Lite, an LSTM model that uses ...

Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language generation.

Artificial intelligence has taken many forms over the years and is still evolving. Will machines soon surpass human knowledge and understanding? Alan Turing famously thought that the question of ...

Code for paper Unsupervised Learning of Video Representations using LSTMs by Nitish Srivastava, Elman Mansimov, Ruslan Salakhutdinov; ICML 2015. We use multilayer Long Short Term Memory (LSTM) ...

EEG samples are converted into spike trains using NeuCube. The spatio-temporal spiking patterns are encoded across a 3D SNN reservoir. The resulting spike outputs are stored in out_neucube_open.h5.

There is burgeoning interest in designing AI-based systems to assist humans in designing computing systems, including tools that automatically generate computer code. The most notable of these comes ...

Dementia is a complex disease associated with declines in cognitive functions such as memory, thinking, and reasoning. There exists an estimated 47.5 million people globally who are affected by ...

Generative AI has gained significant attention in the tech industry, with investors, policymakers, and the society at large talking about innovative AI models like ChatGPT and Stable Diffusion.

Malware threat the security of computers and Internet. Among the diversity of malware, we have “ransomware”. Its main objective is to prevent and block access to user data and computers in exchange ...

Research on self-efficacy and confidence has spread across several subfields of psychology and neuroscience. The role of one’s confidence is very crucial in the formation of attitude and communication ...