XDA Developers on MSN

It's easy to train your own image classification model with an ESP32, and I did it in five minutes

You can train your own image models for deployment on an ESP32-S3, and it's really easy.
IEEE

Development of Robust CNN Architecture for Grading and Classification of Renal Cell Carcinoma Histology Images

Abstract: Kidney cancer is a commonly diagnosed cancer disease in recent years, and Renal Cell Carcinoma (RCC) is the most common kidney cancer responsible for 80% to 85% of all renal tumors. The ...
IEEE

Improving the Sound Classification Accuracy Using CNN-LSTM and MFCC with Audio Augmentation for Diagnosing Respiratory Disease

Abstract: Audio is vital information data for understanding various situations. A multitude of sound features can be explained by analysis through the audio signals. Numerous classification methods ...
UPI

Appeals court rejects Trump's lawsuit against CNN for 'Big Lie' phrase

Nov. 18 (UPI) --President Donald Trump's lawsuit against CNN for using the phrase "The Big Lie" was rejected by a federal appeals court. Trump was trying to revive the $475 million suit against the ...
CNN

Scientist turns people’s mental images into text using ‘mind-captioning’ technology

A scientist in Japan has developed a technique that uses brain scans and artificial intelligence to turn a person’s mental images into accurate, descriptive sentences. While there has been progress in ...