AI systems rely on human labour from developing countries for data annotation, training, and quality control, raising concerns about exploitation.

AI tools like YouTube’s Content ID and Meta’s Rights Manager boost copyright detection using large datasets, but high costs and limited access to quality data remain key challenges, say experts.

Abstract: Predictive maintenance, utilising anomalous sound classification, demonstrates a strong potential to identify mechanical faults in industrial machinery. This research proposes a machine ...

AI cheats not because it’s broken, but because it has learned our own bad habit: rewarding what feels good over what is true.

The New York Sewing Center has seen a surge in demand as people look to save money, upcycle and learn a skill that isn’t just ...

Chinmay Govind and Nihar Ballamudi leveraged AI for their project that may help improve protections for whale populations worldwide ...

The latest version of Ozone is also available as part of iZotope’s Music Production Suite, which also includes iZotope’s Neutron, Nectar and RX applications, the Catalyst Series effects, Native ...

Abstract: The increasing ability of deep learning models to produce realistic-sounding synthetic speech poses serious problems for privacy, public trust, and digital security. To counter this danger, ...

data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language 2022 Audio Continuous WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing 2021 ...

Ancestry has 65 billion records from more than 80 countries. The company's CTO said that's about about 10,000 terabytes of data.

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

FIU researchers are training AI to detect heart conditions, like aortic stenosis and heart failure, by analyzing heart sound data to improve early diagnosis and risk prediction.