Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

David Ussery discusses using Machine Learning methods to predict the pathogenicity of a bacterial infection based on genome ...

Previous methods struggle to incorporate real-time data or account for nonlinear interactions among macroeconomic variables.

Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior ...

Experimental data from a patent were analyzed to learn about the small molecule additives that were most effective in mitigating the degradation of polyethylene terephthalate. Two sets of molecular ...

By enabling deep learning to run at the speed of light, this chip could allow edge devices to perform real-time data analysis ...

Researchers developed a two-stage ML model to predict coating degradation by linking environmental factors to physical ...

Fault Detection and Classification Market is projected to hit USD 12.7 bn by 2033, driven by a robust CAGR of 9.3% over the ...

The study found that deep learning models, especially CNNs, were the most frequently implemented technique (61.2%), followed ...

For GIT classification, deep belief network with extreme learning machine (DBN-ELM) was used. Finally, backpropagation is applied for supervised fine tuning of the DBN-ELM model. The experimental ...

Dr. Muhammad Waqar Akram and his team from the Department of Farm Machinery and Power at University of Agriculture Faisalabad ...

AI is shedding new light on the 12,000-year conversation between cats and their humans, suggesting that house cats wield a ...