Why are languages spoken at different speeds?

Vietnamese, for example, was one of the lowest-ranked languages for speed, but each syllable encoded a lot of information.
IEEE

Efficient Conditional Entropy Coding for Learned Progressive Image and Video Compression

Abstract: Progressive coding adapts to reliable image and video transmission over unstable network with fluctuating bandwidth with truncatable bitstreams produced by layer-wise conditional entropy ...
National Bureau of Economic Research

Out of the Black Box: Uncertainty Quantification for LLMs via Conditional Probabilities

Autoregressive LLMs generate text by sampling from estimated probability distributions over the next token, conditional on prior context. We use these probabilities to construct an entropy-based ...
Security Boulevard

MCP Authentication and Authorization Patterns

In MCP, every request comes from a nonhuman identity: an agent, server or tool. These identities don't act under direct human oversight. They generate requests dynamically, chain operations and carry ...
Investopedia

Entropy in Finance: Measuring Market Uncertainty

Lucas Downey is the co-founder of MoneyFlows, and an Investopedia Academy instructor. Thomas J Catalano is a CFP and Registered Investment Adviser with the state of South Carolina, where he launched ...

Hackers Pose as IT Staff in Microsoft Teams to Install Malware

Hackers are impersonating IT staff in Microsoft Teams to trick employees into installing malware, giving attackers stealthy access to corporate networks.
Scientific Research Publishing

A Lightweight Self-Supervised Representation Learning Framework for Depression Risk Profiling from Synthetic Daily Behavioural Trajectories ()

Detecting behavioural signatures of depression from everyday digital traces is a central challenge in computational ...
IEEE

Conditional Diffusion Models: A Survey of Techniques, Applications, and Challenges

Abstract: Conditional diffusion models (CDMs) are an emerging family of generative models that enable controllable, data-driven generation across a wide range of modalities. Through conditioning of ...