In-processing bias mitigation
In-processing bias mitigation refers to methods employed during data processing to reduce bias in machine learning and AI systems.
Artificial Intelligence
Liquid state machine
A liquid state machine is a theoretical model in artificial intelligence that processes information in a fluid-like manner, allowing for dynamic adaptation.
Ernie (language model)
Ernie is a series of language models developed by Baidu that utilize knowledge-enhanced pre-training techniques to improve natural language understanding and generation tasks. It incorporates structured knowledge into the training process to enhance performance on various AI benchmarks.
OpenFold
OpenFold is an open-source implementation of DeepMind’s AlphaFold protein structure prediction model. It aims to provide accessible tools for protein folding research and development by replicating and extending AlphaFold’s capabilities using public resources.
Gradient masking
Gradient masking is a technique used in machine learning to obscure or alter gradient information, often employed in adversarial machine learning to prevent model vulnerabilities from being exploited. It affects the ability of attackers to generate effective adversarial examples by hiding or manipulating gradient signals.
Program-aided language model (PoT)
Program-aided language model (PoT) is a class of language models that enhance natural language understanding and generation by integrating programmatic reasoning. PoT models leverage symbolic computation or external program modules to improve the interpretability and accuracy of language tasks.
PointCNN
PointCNN is a convolutional neural network architecture designed specifically for processing point cloud data by learning an X-transformation to reorder and weight points before applying convolution.
Point cloud transformer
Point cloud transformers are a class of deep learning models designed to process and analyze 3D point cloud data using transformer architectures. They enable efficient feature extraction and global context modeling for tasks such as 3D object recognition and segmentation.
Artificial intelligence in fiction
Artificial intelligence in fiction explores the portrayal of AI in literature, film, and other media, reflecting societal hopes and fears about technology.
CASP (Critical Assessment of Structure Prediction)
CASP (Critical Assessment of Structure Prediction) is a biennial community experiment designed to evaluate and advance methods for protein structure prediction. It provides a rigorous, blind assessment of computational approaches by comparing predicted structures against experimentally determined protein structures.