Artificial neural networks made from domain walls mimic synapses and neurons in the brain for neuromorphic computers.
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Artificial neural networks made from domain walls mimic synapses and neurons in the brain for neuromorphic computers.
Bursting dynamics that mimic the functions of the human brain pave the way for more efficient AI systems.
A new bottom-up network built from randomly distributed nanowires can learn, compute, and adapt like a human brain.
To help improve the success rates of fertility treatments, scientists are turning to AI to help standardize the sperm selection process.
Scientists hope that a new machine learning algorithm could one day be used to automate the discovery of new physical laws.
Computer-aided drug discovery looks to neural networks that can better predict chemical properties to streamline the search for new therapeutics.
By examining a wide selection of research works from the last two years, it was very clear that astronomers are using machine learning and AI as powerful discovery tools across a range of fields.
Neuromorphic devices have great potential in the development of multifunctional intelligent artificial perception learning systems.
Artificial intelligence is used to analyze the parameters for creating self-cleaning, superhydrophobic surfaces, and to generate a model for optimizing the experimental conditions.
CIMON is the world’s first flying, autonomous astronaut assistant featuring artificial intelligence.