Abstract: As heterogeneous many-core systems gain prominence in embedded domains, efficient scheduling mechanisms become increasingly vital. Existing solutions often suffer from trade-offs between ...

An examination of the emerging antitrust risks associated with the rise of AI, including the state of US regulation and key antitrust enforcement concerns.

Abstract: Machine learning has been successfully applied to drug combination prediction in recent years. However, in some situations, the class imbalance problem still shows highly negative impacts on ...

New platform helps non-technical founders and teams implement AI inside real business workflows without hiring developers. There is a big difference between playing with AI tools and building systems ...