A University of Plymouth team developed a deep-learning model that classified autism with up to 98% accuracy using fMRI data.

Nanjing Ailong Automation Equipment Co., Ltd. recently announced that it has applied for a patent titled "Real-time Detection and Classification Method and System for Machine Vision Defects Based on ...

Scientists have developed and tested a deep-learning model that could support clinicians by providing accurate results and ...

Machine learning algorithms have been used to predict cancer progression, identify early signs of Parkinson’s disease, and ...

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

The core of this patent lies in a series of technical means to protect the parameters of large models, preventing malicious attackers from obtaining sensitive information or tampering with model ...

Scientists have developed and tested a deep-learning model that could support clinicians by providing accurate results and clear, explainable insights – including a model-estimated probability score ...

Traditional machine learning methods like Support Vector Machines, Random Forest, and gradient boosting have shown strong performance in classifying device behaviors and detecting botnet activity.

Picture this: a self-driving car smoothly navigating treacherous mountain roads with consecutive hairpin turns – a scenario ...

Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional methods of contract analytics are time-consuming and often inexact, thus ...