The Image-Based Auto Clicker is a powerful tool that automates clicking based on image recognition. Developed with Python, it provides a user-friendly graphical interface built using CustomTkinter, ...

[2025-03-21] ⚒️: Completely refactored the code, added more tunable parameters, and max_length can be adjusted according to the text length. Optional unload_model to choose whether to unload the model ...

The Milwaukee Police Department has not relied on evidence-based research in their decision to use facial recognition technology. Instead, they are disregarding research that unequivocally shows that ...

If you're shopping at Home Depot, you might want to watch out for facial recognition at the check-out counter. Benjamin Jankowski, a resident of Chicago, Illinois, is taking Home Depot to court after ...

The two-day street festival is a celebration of Caribbean culture and attracts around 2 million revellers. Around 7,000 police officers and staff are on duty at the carnival each day - and the use of ...

James Zou used virtual AI ‘scientists’ to find novel covid-19 treatments. Now, he’s having AI review and present all of the research at a controversial new conference. In October, a new academic ...

The Metropolitan Police’s use of live facial-recognition (LFR) technology is unlawful, according to UK equality watchdog, citing the need for deployments of the technology to be necessary, ...

Home Depot is accused of breaking the law by using facial recognition at self-checkout kiosks in Illinois. The Home Depot is facing a class-action lawsuit in Illinois for allegedly collecting ...

Abstract: The research highlights the significance of speech processing in various applications, particularly emotion recognition, and its importance in understanding human behavior and mental health.

Voice-to-text tools powered by artificial intelligence can make life easier for academics by replacing the keyboard with dictation and transcription. Zhicheng Lin is an Investigator in psychology and ...

Abstract: Recent studies have demonstrated the effectiveness of fine-tuning self-supervised speech representation models for speech emotion recognition (SER). However, applying SER in real-world ...