LSTM Recurrent Neural Network is a special version of the RNN model. It stands for Long Short-Term Memory. The simple RNN has a problem that it cannot remember the context in a long sentence because ...

Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test ...

Once a pioneer that helped the world lay the foundations of machine learning, Japan’s renewed push into artificial ...

Google LLC’s Gemini 3.0 Pro large language model has delivered a notable advance in multimodal reasoning by helping decode a ...

DeepSeek researchers have developed a technology called Manifold-Constrained Hyper-Connections, or mHC, that can improve the performance of artificial intelligence models. The Chinese AI lab debuted ...

Wealth quote of the day by SoftBank CEO Masayoshi Son "Life is short. I will regret if I dont act boldly when I am young. The ...

The current boom in AI technology has ridden on a wave known as ‘deep learning’, which is an approach to creating intelligent ...

Shifting focus on a visual scene without moving our eyes — think driving, or reading a room for the reaction to your joke — is a behavior known as covert ...

In 2025, artificial intelligence moved from pilot projects to practical use across the U.S. military. From Army intel and ...

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...

Engineers have found a way to shepherd microrobots with no wires, no radios, and no onboard computers. Instead, they steer them with light patterns designed using the same math physicists use to ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...