Elektor Magazine

Thermal Camera, with3D Software Lens

The sensor payload (thermopile + VL53L8CX ToF) is carried by a rigid pan-tilt assembly driven by two NEMA 17 stepper motors ...
MIT Technology Review

Super Mario is mathier than you think

Studying the epic journey of the iconic jumping plumber can lead to new insights in theoretical computer science—and may help ...
techtimes

AMD and Intel’s ACE Locks In x86 AI Compute Standard, Replacing Intel’s Older AMX

AMD and Intel have now published a full technical specification for ACE — AI Compute Extensions — the most significant overhaul to x86 AI compute in the architecture's history, co-authored by eight ...
IEEE

Time Complexity of In-Memory Matrix-Vector Multiplication

Abstract: Matrix-vector multiplication (MVM) is the core operation of many important algorithms. Crosspoint resistive memory array enables naturally calculating MVM in one operation, thus representing ...
PNAS

Parallel algorithms for phylogenetic inference under a structured coalescent approximation

Timely reconstruction of epidemic dynamics is essential for public health, and structured coalescent models constitute an essential tool for this purpose. However, statistical and computational ...
acm.org

On the Implicit Bias in Deep-Learning Algorithms

Deep learning has been highly successful in recent years and has led to dramatic improvements in multiple domains. Deep-learning algorithms often generalize quite well in practice, namely, given ...
InfoWorld

14 popular AI algorithms and their uses

Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Amid all the hype and hysteria about ChatGPT, ...
Frontiers

A hyperspectral image reconstruction algorithm based on RGB image using multi-scale atrous residual convolution network

Hyperspectral images are a valuable tool for remotely sensing important characteristics of a variety of landscapes, including water quality and the status of marine disasters. However, hyperspectral ...
IEEE

A Matrix-Inverse-Free Implementation of the MU-MIMO WMMSE Beamforming Algorithm

Abstract: The WMMSE beamforming algorithm is a popular approach to address the NP-hard weighted sum rate (WSR) maximization beamforming problem. Although it efficiently finds a local optimum, it ...
Nature

Discovering faster matrix multiplication algorithms with reinforcement learning

Improving the efficiency of algorithms for fundamental computations can have a widespread impact, as it can affect the overall speed of a large amount of computations. Matrix multiplication is one ...
Nature

A (quasi-)polynomial time heuristic algorithm for synthesizing T-depth optimal circuits

The notion of a quantum computer was introduced by Feynman 1 as a solution to the limitations of conventional or classical computers. In numerous fields algorithms designed for quantum computers ...