Data sparseness is a major limiting factor for deep machine learning. In the natural sciences, data distributions are heterogeneous. For instance, in chemistry and early-phase drug discovery, compound ...

Human gait is a complex biometric pattern with high intra and inter subject variability. While deep learning models can generate and reconstruct gait, they often require extensive personalized data.

Meta’s $14.3 billion investment in Scale AI represents the social media giant’s most significant move to secure high-quality training data for artificial intelligence models. The deal gives Meta a 49% ...

In short: Meta has released Muse Spark, the first model from Meta Superintelligence Labs, the unit it assembled under Alexandr Wang after spending $14.3 billion to acquire a stake in Scale AI. Rebuilt ...