Researchers from several Parisian institutions have worked together to develop a non-destructive approach to study how ...

Finding high-performing catalysts, which are used to accelerate processes from chemical manufacturing to energy production, ...

A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...

Can living neurons replace AI? A new study shows that biological neural networks (BNNs) can be trained to perform reservoir ...

A machine learning approach shows promise in helping astronomers infer the internal structure of stellar nurseries from ...

A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy inefficiency in power amplifiers for next-generation wireless communication.

One of the most influential scientific and philosophical viewpoints is "More is Different," introduced in 1972 by Nobel Prize ...

Using routine clinical data, the model gauges liver cancer risk better than existing tools, offering a potential way to identify high-risk patients missed by current screening criteria.

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...