Nature

A meta-learning framework to mitigate negative transfer in transfer learning applicable to drug design

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 ...
Nature

A meta learning framework for few shot personalized gait cycle generation and reconstruction

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.
Business Wire

Cornerstone and Meta Launch Strategic Partnership to Power the Future of AI, Extended Reality and Immersive Learning

SANTA MONICA, Calif.--(BUSINESS WIRE)--Cornerstone OnDemand Inc., a leader in workforce agility solutions, today announced a strategic partnership with Meta (NASDAQ: META) to expand the capabilities ...
Forbes

Meta Invests $14 Billion In Scale AI To Strengthen Model Training

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% ...
VentureBeat

Goodbye, Llama? Meta launches new proprietary AI model Muse Spark — first since Superintelligence Labs' formation

Meta has been one of the most interesting companies of the generative AI era — initially gaining a loyal and huge following of users for the release of its mostly open source Llama family of large ...
Ars Technica

Meta’s Superintelligence Lab unveils its first public model, Muse Spark

Meta on Wednesday announced Spark, the first AI model in the Muse family that it says represents “a ground-up overhaul of our AI efforts.” Meta said that Muse Spark will take advantage of content ...