An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

Scientists have struggled to find effective, model-free methods to directly analyze causality relationships in neural ...

The AI pioneer Geoffrey Hinton warned that the tech could erase jobs, erode dignity, and widen the wealth gap.

The humble inventions that power our modern world wouldn’t have been possible without decades of support for early-stage research.

Researchers from the University of Tokyo in collaboration with Aisin Corporation have demonstrated that universal scaling laws, which describe how the properties of a system change with size and scale ...

Abstract: Using a confusion matrix-based methodology, this study explores the use of Simple RNNs for stock price forecasting. Our technology generates accurate forecasts by examining past data to ...

In this study, we present a mixed-signal framework that utilizes MRAM (Magneto-resistive Random Access Memory) technology to emulate behaviors observed in biological neural networks on silicon ...

Thanks to the neural network, the researchers now suspect, for example, that the black hole at the center of the Milky Way is spinning almost at top speed. Its rotation axis points to Earth. In ...

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