This is “OpenAI GPT-4o rock paper scissors” by OpenAI on Vimeo, the home for high quality videos and the people who love them.

This is “OpenAI GPT-4o interview prep” by OpenAI on Vimeo, the home for high quality videos and the people who love them.

This is “Two OpenAI GPT-4os interacting and singing” by OpenAI on Vimeo, the home for high quality videos and the people who love them.

A portable sweeping frequency reader was kept nearby to record and analyze the signals from the RF tags (it serves as the machine part of HMI).

The researchers demonstrated that their smart contact lenses can detect gazing directions and real-time gazing points, which could be used for robot control and software interaction.

Further, they showed that the lenses are very stable and can be worn for up to 12 hours in different environmental conditions. They have also shown that the lenses can detect eye closure.

A video depicting a Chinese humanoid robot factory reveals scores of robots at different stages of development, evoking surprise and concern.

According to a statement by the firm, the study showed that AI models trained on hand images achieve comparable accuracy to those using facial images, with an average error of 4.1 and 4.7 years in predicting chronological age.

The AI model in the study was primarily trained by employing the Indian population dataset to ensure representation of diverse skin tones and address AI’s bias challenges, especially pertaining to ethnicity-specific considerations in age prediction.

By focusing on the Indian population, the study aimed to develop an AI model tailored to this demographic, mitigating biases and promoting fairer AI solutions. Additionally, the research’s market relevance in India’s growing skincare and AI sectors underscores the strategic importance of using an Indian dataset for this study.