Jan 22, 2024 Artificial neural network hardware based on stacked neuron-synapse-neuron structural blocks (Nanowerk News) With the emergence of new industries such as artificial intelligence, the ...

Researchers at the Technical University of Munich (TUM) have now discovered that artificial neural networks can perform this task better when trained with biological data from early visual system ...

They found that their neural networks could solve these tasks, and also consistently attained similar behaviors to those achieved by humans and some animals as documented in previous studies.

Researchers have developed a new artificial neuron device, which could reduce the computing power and hardware needed in the training of neural networks to perform tasks. The device can run neural ...

11/10/2005 15:35 UTC How frontotemporal dementia, the syndrome affecting Bruce Willis, changes the brain Some of the same genetic mutations can lead to FTD, ALS or symptoms of both 02/26/2023 13 ...

An artificial neural network typically consists of several layers composed of individual neurons. An input signal passes through these layers and is processed by artificial neurons in order to extract ...

The results were published in PNAS. Both, human brain and modern artificial neural networks are extremely powerful. At the lowest level, the neurons work together as rather simple computing units.

Researchers at TUM have now shown that artificial neural networks - which mimic the function of the brain - can also benefit from this kind of pre-training. Read the full story here.