Despite a lot of public worry that the AI revolution is going to impact the workforce, researchers report this is likely not to be the case. However, they note, the introduction to machine learning in the workforce could transform the economy as much as the introduction of the steam engine and other technologies did in the past.
A new study reveals a new algorithm that simulates how deep learning could occur in the human brain. Researchers report certain neurons have the shape and electrical properties that are well suited for deep learning.
A new study reveals a mechanism that may explain how the brain is able to retain memories when faced with distraction. The findings could help with the development of new artificial neural networks and AI technology.
A new deep learning algorithm can interpret EEG data from preterm babies and estimate the child's brain functional maturity, researchers report.
Researchers report humans often miss objects in plain sight, especially if the size is inconsistent with the rest of the scene.
Researchers report a convolutional neural network has been used to decode brain signals from EEG data. Scientists believe deep learning systems could be important tools for neuroscience analysis and could help revolutionize brain research.
Researchers have trained neural networks to accelerate the reconstruction of neural circuits.