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

The core of quantum network research lies in efficiently and reliably establishing entanglement between nodes; however, the challenges of maintaining fragile quantum states are far more complex than ...

UC Davis researchers have created a miniaturized microscope for real-time, high-resolution imaging of brain activity in mice.

Nearly 50 new cancer therapies are approved every year. This is good news. "But for patients and their treating physicians, ...

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

Overview Clear prompts help machine learning models become more accurate and reliable.Role-specific prompts generate focused ...

A project run by Eaton and NREL has developed a tool that can detect powerline faults otherwise difficult to detect, enabling ...

Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...

Recently, SITEC (301568) responded to investor inquiries on March 18, revealing the application of its core products, 3D SPI (Solder Paste Inspection) and 3D AOI (Automated Optical Inspection), in ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...