Data Center 4D: Dynamic Systems That Self-Model With Digital Load

Historically, data center design was linear: Size the facility to meet demand forecasts and hope for the best. Power and ...
VoxelMatters

JOME Engineering adopts Vipra AM to cut sampling valve lead times by 90%

Learn how JOME Engineering transformed stainless-steel valve production using Caracol's VIPRA system and WAAM 3D printing ...

Callan JMB Expands Logistics Platform Into Food Sampling Sector, Advancing Multi-Variant Growth Strategy

Move leverages the Company’s expertise in regulated materials to capture opportunities in sustainable , high-growth consumer marketsSpring ...
KXAN

Luxxcoin Confirms Token Generation Event (TGE) on November 24, 2025, and Launch of “Hero Rewards” Competitive Distribution Model

The Hero Rewards Model: Utility Begins on Day One The November 24 TGE is also the official opening of Luxxcoin’s first “Hero Rewards” season. Hero Rewards is Luxxcoin’s core competitive mechanic.
GitHub

BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models

Code for our SIGKDD'25 paper: "BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models". The advent of universal time series forecasting models has revolutionized zero-shot ...
C&EN

Hamiltonian Replica Exchange Augmented with Diffusion-Based Generative Models and Importance Sampling to Assess Biomolecular Conformational Basins and Barriers

Enhanced sampling techniques are essential for exploring biomolecular conformational dynamics that occur on time scales inaccessible to conventional molecular dynamics (MD) simulations. This study ...
IEEE

Time-Correlated Model Predictive Path Integral: Smooth Action Generation for Sampling-Based Control

Abstract: In this paper, we introduce time-correlated model predictive path integral (TC-MPPI), a novel approach to mitigate action noise in sampling-based control methods. Unlike conventional ...
IEEE

Adaptive Orthogonal Sampling for Automated Model Generation of Microwave Components

Abstract: Automated model generation (AMG) algorithms have become popular techniques for the systematic development of artificial neural network (ANN) models for microwave components. However, ...