But he might just as easily be describing the quiet conviction — held now by a growing number of founders, developers and technologists — that the Mac has become the most relevant, most usable, and ...

MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat instead of electricity. These tiny structures could someday enable more ...

Abstract: Matrix-vector multiplication is practically used in all Digital Signal Processing (DSP) algorithms. Particularly, in the channel emulation field, it is required to perform this algorithm in ...

ST’s VL53L5CX is a very small 8×8 grid ranging sensor that can perform distance measurements at a distance of up to 4 meters. In a recent video,[Henrique Ferrolho] demonstrated that ...

Matrix-vector multiplication (MVM) is a computational bottleneck for transformer inference workloads at resource-restricted edge applications. Efficient MVM accelerator design is crucial to optimizing ...

A high-performance machine learning library written in C with Python bindings. Version 0.2 includes both linear and logistic regression built on top of a small, optimized linear algebra core. ├── csrc ...

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Basic transaction and user/alias query support (based on Cadair's python-appservice-framework) Basic room state storage Intent wrapper around the client API functions (design based on ...