Researchers developed an automated system to help programmers increase the efficiency of their deep learning algorithms by simultaneously leveraging two types of redundancy in complex data structures: ...

Deep learning works by using multilayered neural networks. To make sense of the data they are fed, such as photos, neural ...

The neural network artificial intelligence models used in applications like medical image processing and speech recognition ...

As smart grids rely on vast amounts of data from sensors, meters, and distributed energy resources, effective data management ...

With global leaders set to attend a summit on artificial intelligence (AI) in Paris on February 10-11, here are some of the ...

Jonathan EnudemeJonathan Enudeme Imagine finding yourself lost in a foreign land where no one speaks English or your native language. The streets are unfamiliar, and every turn leads you deeper into ...

Data scalability: Deep learning models are also known to perform increasingly well as the volume of data grows. This is in stark contrast to traditional machine learning algorithms, which can ...

Machine vision is vital for industrial automation, providing essential image analysis amid labor shortages. Effective ...

MIT researchers developed an automated system that optimizes deep-learning models by leveraging both sparsity and symmetry in ...

Bob Dylan famously asked, “How many roads must a man walk down, before you can call him a man?”. The power of the question is ...