Abstract: The purpose of this methods and concepts tutorial is to present the homodyned K-distribution (HKD) statistical modeling of the echo envelope of received radio frequency (RF) signals in the ...

SAHI helps developers overcome real-world challenges in object detection by enabling sliced inference for detecting small objects in large images. It supports various popular detection models and ...

Modal Labs, a startup specializing in AI inference infrastructure, is talking to VCs about a new round at a valuation of about $2.5 billion, according to four people with knowledge of the deal. Should ...

A structured workflow for deploying pretrained deep learning models with DeepSpeed's InferenceEngine. It takes a standard HuggingFace model and wraps it with performance optimizations -- replacing ...

Statistical mechanics is a branch of statistical physics that deals with the description of physical phenomena in terms of the stochastic behaviour of large numbers of components, such as atoms or ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Abstract: Jitter and phase noise are key factors that deeply impact the performance of circuits in modern communication applications. Within the industry, many types of jitter must be and are ...

Decision-making inherently involves cause–effect relationships that introduce causal challenges. We argue that reliable algorithms for decision-making need to build upon causal reasoning. Addressing ...

Angelica Leicht is a seasoned personal finance writer and editor with nearly two decades of experience but just one goal: to help readers make the best decisions for their wallets. Her expertise spans ...

Task-accomplishing agents deliver more than just content generation, and enterprises will see massive returns in 2026, says AWS CEO Matt Garman. AI has already transformed how we create and summarize ...