SK hynix to reportedly change wafer cutting for its next-gen HBM4 memory and 400-layer NAND flash, as they're becoming ...

Tensor networks are a popular and computationally efficient approach to simulate general quantum systems on classical computers and, in a broader sense, a framework for dealing with high-dimensional ...

Enrique Rico Ortega and Sofia Vallecorsa explain how quantum computing will allow physicists to model complex dynamics, from ...

Are you looking for a new core training challenge? Take your abs strength to a whole new level with wall bear holds—and thank me later!

Sliders: A tribute to Scott Miller, a master storyteller who was ‘good to the core’ By Tyler Kepner June 27, 2025 ...

Why Municipal Bonds Are Worthy Core Holdings for Investors Tax-exempt bonds have acquitted themselves well through the ups and downs of recent years.

This TEP proposes the introduction of a new tensor-network-based engine in TensorCircuit for simulating open quantum systems: the Locally Purified Density Operator (LPDO) engine. The primary ...

The prosperity of machine learning applications has promoted the rapid development of GPU architecture. It continues to integrate more CUDA Cores, larger L2 cache and memory bandwidth within SM.

To fully harness the power of LUT-based mpGEMM, we introduce LUT Tensor Core, a software-hardware co-design optimized for low-bit LLM inference. Specifically, we introduce software-based operator ...