Promoters and enhancers: Tool catches gene-controlling DNA sequences doing each other's jobs

Researchers at the Weill Institute for Cell and Molecular Biology have uncovered new evidence that two major types of gene-controlling DNA sequences, promoters and enhancers, operate with a shared ...
Fabbaloo

ORNL Develops Multiplexed Extrusion System to Increase Large-Format 3D Printing Speeds

Researchers at the Oak Ridge National Laboratory have developed a unique multiplexing extrusion system. The ORNL scientists were concerned with a problem that affects large-format 3D printing: weight ...
IEEE

Use of Game-Based Activities in Predicting the Sequential-Global Learning Dimension for Primary Schoolers

Abstract: Modern primary school students, particularly those belonging to Generation Alpha, are deeply immersed in technology and gaming. Personalizing teaching based on students’ learning styles has ...
The Lancet

Global, regional, and national cascades of diabetes care, 2000–23: a systematic review and modelling analysis using findings from the Global Burden of Disease Study

aInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA bSchool of Medicine, University of Washington, Seattle, WA, USA cGeneral Medicine Service, Department of ...
InfoWorld

Multi-token prediction technique triples LLM inference speed without auxiliary draft models

With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.
IEEE

Comparison of Classical and Sequential Model Predictive Control Techniques in a Grid Connected Three-Level NPC

Abstract: This paper compares Classical Model Predictive Control (CMPC) and Sequential Model Predictive Control (SMPC) for a three-level Neutral Point Clamped (NPC) converter. Although CMPC is simple ...

Researchers baked 3x inference speedups directly into LLM weights — without speculative decoding

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...