Discover how UHF MRI techniques are revolutionizing the measurement of brain physiology and function, offering insights into neural processes.

The seven decades of "artificial intelligence" have been marked by exaggerated promises, surprising developments and ...

Western researchers have developed a novel technique using math to understand exactly how neural networks make decisions—a ...

The Spiking Neural Processor T1 is an AI chip that's modeled on the way the brain detects patterns and could extend the ...

However, AI models are often used to find intricate patterns in data where the output is not always proportional to the input ...

Currently, we estimate that Nvidia accounts for roughly 25% of the entire data center segment. Our view is that Nvidia will retain that leading share throughout the forecast period — assuming it ...

Ophthalmology Times - ophthalmology news, articles, and events in a timely and accurate manner for members of the ophthalmic ...

Scientific research explores the potential of DNNs in transforming fragrance design. By analyzing the sensing data of 180 essential oils, the DNN was trained using the odor descriptor data from 94 ...

Researchers have developed a transfer learning-enhanced physics-informed neural network (TLE-PINN) for predicting melt pool morphology in selective ...

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep ...

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep ...

Researchers have developed a transfer learning-enhanced physics-informed neural network (TLE-PINN) for predicting melt pool ...