A public health challenge has led to a more efficient way to allocate all sorts of resources

Optimization models do an excellent job of ensuring products get where they are needed in the most efficient way possible, but those models require an impractical amount of computing power when ...
News-Medical.Net

AI-driven optimization speeds large-scale vaccine distribution planning

Optimization models do an excellent job of ensuring products get where they are needed in the most efficient way possible, but those models require an impractical amount of computing power when ...
VentureBeat

Google’s ‘Nested Learning’ paradigm could solve AI's memory and continual learning problem

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...