A discussion of the rapid integration of AI in the US insurance industry, the legal and ethical challenges arising from AI ...

Unpacking how recent progress in scaling active inference is already demonstrating real improvements for distributed control ...

The DIRHAM framework redefines distribution strategy, showing how paid signals, influencers, and AI visibility work together ...

MLX enables efficient implementation of tensor parallelism *(TP)* through its implementation of distributed layers. In this example we will explore what these layers are and create a small inference ...

Electricity affordability isn't a slogan; it's the scorecard. As distribution companies absorb electric vehicle (EV) load growth, aging assets, extreme weather and a decarbonizing grid, every ...

Cryptography secures communication in banking, messaging, and blockchain. Good algorithms (AES, RSA, ECC, SHA-2/3, ChaCha20) are secure, efficient, and widely trusted. Bad algorithms (DES, MD5, SHA-1, ...

ABSTRACT: The study adapts several machine-learning and deep-learning architectures to recognize 63 traditional instruments in weakly labelled, polyphonic audio synthesized from the proprietary Sound ...

Algorithms, examples and tests for denoising, deblurring, zooming, dequantization and compressive imaging with total variation (TV) and second-order total generalized variation (TGV) regularization.

As one of the important statistical methods, quantile regression (QR) extends traditional regression analysis. In QR, various quantiles of the response variable are modeled as linear functions of the ...