A new study has attempted to uncover the mysteries of the brain’s signal conversion process and the findings are interesting.
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Scientists unlock key to cheap hydrogen fuel with 95% less iridium
Researchers in Japan have discovered that manganese could help reduce reliance on iridium as a catalyst for hydrogen production.
Blurred lasers make for better 3D printed optics, study finds
Canadian researchers have found that blurring tomographic volumetric additive manufacturing lasers improve optical printouts.
Stanford’s AI-hologram tech enables 3D viewing with regular glasses
Engineers at Stanford University have successfully combined AI and holographic imagery to develop the augmented reality headset of the future.
Lithium tantalate offers cheap, more efficient photonic chips: Study
Researhcesr from EPFL and SIMIT have managed to develop a new lithium tantalate chip that could reduce costs and improve performance of PICs.
Forget facial recognition, this new AI predicts age by analyzing hands
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.
