Challenges in CIM systems for neural network computation. A cross-institutional research team led by researchers from the ...

GPUs, born to push pixels, evolved into the engine of the deep learning revolution and now sit at the center of the AI ...

Artificial intelligence has grown so large and power hungry that even cutting edge data centers strain to keep up, yet a technique borrowed from quantum physics is starting to carve these systems down ...

SeQuant is an open-source library for symbolic algebra of tensors over commutative (scalar) and non-commutative (operator) rings. The key innovation supporting most of its functionality is a ...

Abstract: This paper presents a new mathematical framework based on tensor algebra to enhance joint waveform guidance and control optimization (JWGCO) in multi-radar and multi-target contexts. The ...

Being book smart is not the same as being street smart. Just because someone has a pile of degrees doesn’t mean that they have excellent problem solving or social skills. At the same time, a person ...

Google’s TPUs are now considered to be giving stiff competition to NVIDIA’s GPUs for AI use-cases — Google’s Gemini 3 models were ...

Google (GOOG) (GOOGL) is working to lessen Nvidia's (NVDA) advantage with its CUDA software platform, with some help from ...

Define the Standard Model gauge group to be S ( U ( 2) × U ( 3)), the subgroup of SU ( 5) consisting of block diagonal matrices with a 2 × 2 block and then a 3 × 3 block. (This is isomorphic to the ...

Algebra uses letters to represent unknown values. Unknown values are commonly represented by the letters x and y. There are several principles you need to know to be able to use algebraic notation.