There's a paper in the journal PLoS Computational Biology that is incredibly significant to folks thinking through the intersection of human-computer interaction and learning or entertainment.

Deep learning is a form of machine learning that models patterns in data as complex, multi-layered networks. Because deep learning is the most general way to model a problem, it has the potential to ...

Including prediction stability as a parameter when using machine learning to design functional biological sequences can significantly improve the selection pool of antibodies, according to a recent ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

Artificial intelligence (AI) is transforming our world, but within this broad domain, two distinct technologies often confuse people: machine learning (ML) and generative AI. While both are ...

Further, the image analysis and device control system may receive the at least one image. In addition, the image analysis and device control system may use the one or more machine learning algorithms ...

News editors obtained the following quote from the background information supplied by the inventors: “Aspects of the disclosure relate to processing systems. In particular, aspects of the disclosure ...

Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks. Artificial intelligence ...