Vector quantization, stock dips & RAMageddon – the real story behind how a memory compression algorithm went viral ...

Investors kept pouring money into AI hardware startups in the second quarter of 2026. While companies focused on chips for AI data centers have largely dominated the funding over the past year, ...

Today:Early fog in the far southwest clears quickly. Most areas stay dry with sunshine and variable cloud, though northern and northeastern regions may see isolated showers. Light winds overall, ...

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 ...

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 ...

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, ...

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 ...

For decades we have used the RAM (random-access memory) 2 and PRAM (parallel RAM) models 5 along with asymptotic analysis to measure the complexity of algorithms. The RAM and PRAM models treat all ...

Endoscopic imaging plays a very important role in the diagnosis and treatment of lesions. However, the imaging range of endoscopes is small, which may affect the doctors' judgment on the scope and ...

Ever since the philosopher Nick Bostrom proposed in the Philosophical Quarterly that the universe and everything in it might be a simulation, there has been intense public speculation and debate about ...