We are excited to announce three major additions to the #RAIDOProject Zenodo community. These publications mark significant steps forward in our mission to build reliable, energy-efficient, and ethically sound AI systems.
š New Publications:
1ļøā£ Fairbeat: Assessing and Mitigating Bias with the Composite Balance Score. A deep dive into quantifying and reducing algorithmic bias, ensuring AI systems remain fair and equitable across diverse populations. [link]
2ļøā£ NeuroXVocal: Detection and Explanation of Alzheimer’s Disease Through Non-Invasive Analysis of Picture-Prompted Speech. Presenting a novel, non-invasive approach to detecting Alzheimerās disease that not only predicts but explains its findings, bridging the gap between black-box AI and clinical trust. [link]
3ļøā£ Vision-Free Retrieval: Rethinking Multimodal Search with Textual Scene Descriptions. Challenging traditional multimodal search by using textual descriptions instead of raw visual data, enhancing privacy and computational efficiency without sacrificing performance. [link]
š At RAIDO, we believe that the path to trustworthy AI must be transparent. We are committed to making our research openly available to the global scientific community to foster collaboration and innovation.
š Read the full papers here: https://zenodo.org/communities/raido/
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