To speed up computation, deep neural networks (DNNs) usually rely on highly optimized tensor operators. Despite the effectiveness, tensor operators are often defined empirically with ad hoc semantics.

Abstract: In the modern era, artificial intelligence (AI) and deep learning (DL) seamlessly integrate into various spheres of our daily lives. These cutting-edge disciplines have given rise to ...

Abstract: Split inference facilitates deep neural network (DNN) inference tasks at resource-constrained edge devices. However, a pre-determined split configuration of a DNN limits the inference ...

The Forge—a Roblox RPG meets mining sim—throws a ton at you just within those first few minutes of questing, cave exploration, and crafting. It's a little more serious about the RPG part of the ...