MULTI-evolve accelerates protein engineering with machine learning
The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 possible...
Learning methods
Machine Learning Now Personalises Treatment Effects From Complex, Continuous Data
Scientists are increasingly focused on understanding how interventions impact individuals differently, yet disentangling these heterogeneous treatment effects remains difficult, particularly...
Measuring More and Learning Less
(Photo by iStock/adventtr) In the past two decades, impact evaluation has become an unavoidable topic in the social sector. Yet...
Dog Training Methods Reflect Owners’ Stance on Animal Ethics
I've often wondered if the way in which individuals view and treat their own and other dogs is related to...
A federated graph learning method to realize multi-party collaboration for molecular discovery
LeCun, Y., Bengio, Y. & Hinton, G. Deep learning. Nature 521, 436–444 (2015).Article Google Scholar Abramson, J. et al. Accurate...
AIMATDESIGN: knowledge-augmented reinforcement learning for inverse materials design under data scarcity
Framework overviewAs illustrated in Fig. 2, our proposed framework AIMATDESIGN consists of three key components (Full implementation details are provided...
