When it comes to navigating their surroundings, machines have a natural disadvantage compared to humans. To help hone the ...

This post was created in partnership with IRCODE QR codes are so yesterday – enter the era of scannable images. During a ...

Learn how to build a machine learning-based hCaptcha solver to automate web interactions and overcome image-based captcha challenges effectively.

When training large language models on human speech, they have the entire history of human communication to pull from. For ...

Authored by embedded ML specialists with extensive experience in ESP32 voice recognition architecture, TinyML optimisation, ...

The machine-learning programs that underpin their ability to “see” still have blind spots—but not for much longer ...

Abstract: During muscle contractions, force distributions are generated on muscle surfaces due to muscle activity, which is applicable for control in a Human-Machine Interface. It has been proven that ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Abstract: In this paper, we provide an overview of image recognition using deep learning and introduce its applications. Then, challenges in application and how to deal with them are discussed from a ...