Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, ...

AI’s growth is limited by poor-quality data, not model size. Human expertise in data curation, decentralized feedback and ...

By understanding your growth levers and required resources, you can avoid the trap of overpromising and underdelivering.

AI neural networks fail to predict unprecedented weather events unless such events have precedent in their training data.

Apple is hardly the first company to lean on “fake” data to train AI models. Other companies have done it to great success.

By building stronger reasoning skills in AI systems, new approaches to data for training and testing will open a door to the ...

How do we think, feel, remember, or move? It all depends on transmission of chemical signals in the brain, carried and released by molecular containers called vesicles. In a new study, researchers ...

Learn how mass spectrometry and data analysis workflows are driving deeper insights into colorectal cancer through ...

Mass spectrometry, a powerful tool for studying tiny molecules, has long helped scientists unlock secrets hidden in plants, ...

This manuscript introduces a useful protein-stability-based fitness model for simulating protein evolution and unifying non-neutral models of molecular evolution with phylogenetic models. The model is ...

AI-driven automation can detect anomalies, clean data and categorise information, ensuring that only high-quality data is fed ...