Open-source clones of ChatGPT can be fine-tuned at scale and with limited or no expertise, facilitating ‘private' language ...

A new, densely annotated 3D-text dataset called 3D-GRAND can help train embodied AI, like household robots, to connect ...

Models provide highly relevant species-specific data, predict in vivo drug clearance/transport, and support preclinical analysis of cancer therapies< ...

The Coalition for Health AI (CHAI) released an open access version of its model card for healthcare AI on Thursday. The card, which has been compared to a nutrition label for algorithms ...

Despite these advancements, existing methods often involve complex training processes and focus primarily on 2D image segmentation ... novel learning strategies to regularise pseudo-labels, aiming to ...

The earliest forms of AI were relatively crude, like expert systems and machine vision ... The resultant models power AI’s ability to interact with the world. Deep learning algorithms are ...

The key idea of our approach is to design a trainable model ... RGB images and 2D semantics as supervision, respectively. We additionally develop a learning pipeline and corresponding method to enable ...

Unlike randomly generating soft labels from hard labels, ReffAKD’s autoencoder is trained to encode input images into a ... on a pre-trained teacher model. In summary, ReffAKD offers a valuable ...