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Ferroelectric memory enables one chip to sample randomness and compute for generative AI
For the first time, a research team has demonstrated an artificial intelligence semiconductor technology that integrates the ...
Intel and AMD have jointly announced ACE, a new x86 instruction set extension that brings dedicated AI acceleration to CPUs, ...
In an effort to maintain US' technological edge, President Donald Trump has imposed tariffs and, at various points, tightened ...
A supercomputer in Shenzhen was declared the world’s fastest. It uses only standard microprocessors and not the ...
The theory of electromagnetism, as formulated by James Clerk Maxwell in the latter half of the nineteenth century, stands as one of the most profound achievements in classical physics. Notably, ...
I will explain examples of linear transformations of Lie groups. Regarding left-invariant vectors, I will show the equivalence between the expression viewed from the mapping of tangent vectors and the ...
A Support Vector Machine (SVM) is a supervised machine learning model. In its basic form SVMs are used for binary classification tasks. Their fundamental idea is to learn a hyperplane which separates ...
Artificial intelligence is currently an active topic in both scientific research and commercial application as well as daily life. The linear operations of high-dimensional vectors are fundamental and ...
Researchers at Tsinghua University developed the Optical Feature Extraction Engine (OFE2), an optical engine that processes data at 12.5 GHz using light rather than electricity. Its integrated ...
TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...
稀疏矩阵-向量乘法(SpMV)在科学计算、机器学习(ML)和图分析等众多应用中至关重要。尽管最近的研究在加速配备HBM的FPGA上的SpMV方面取得了巨大进展,但在处理非平衡稀疏矩阵的SpMV时仍存在多个挑战,这些矩阵中非零元素的分布在不同行之间是不对称的。
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