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

According to Securities Star news, data from the Tianyancha APP shows that Hikvision (002415) has recently obtained an ...

The core of the patent application by China National Building Material Resources and Environment lies in using **artificial intelligence** technology to address the challenges of estimating mineral ...

QNNs achieved 95 percent accuracy, while QSVMs reached 94 percent, both surpassing classical machine learning methods, which ...

Using light significantly reduces the power needed for these processes, making it 10 to 100 times more efficient than current ...

Akshay Jagadeesh's path is a shining testament to how deep scholarly knowledge of neuroscience can shift gears to ...

The integration of biological principles into artificial visual systems is advancing machine vision, enabling superior performance in real-time applications.

With this bat-inspired technology, the potential to locate more survivors the next time an earthquake or wildfire strikes ...

CNNs vs. transformers; selecting a package; IoT education; managing design data; containerized workloads for automotive; ...

Innovative U-Net model redesign with depthwise separable convolutions achieves high-accuracy human activity recognition on wearables, minimizing resource usage.

To address growing demands for efficient AI computing, scientists in China developed a reconfigurable integrated photonic chip that supports diverse neural network models within a unified hardware ...

Economists from HSE University have developed a neural network model that can predict the onset of a short-term stock market crisis with over 83% accuracy, one day in advance. The model performs well ...