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.
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
Hosted on MSN

Modeling sliding bead on tilting wire using Python | Lagrangian explained

Explore advanced physics with **“Modeling Sliding Bead On Tilting Wire Using Python | Lagrangian Explained.”** In this tutorial, we demonstrate how to simulate the motion of a bead sliding on a ...
Oak Ridge National Lab

MARIE: A Python-Based Framework for Comprehensive Fuel Recycling Modeling

One of the most pressing challenges to the continued deployment of nuclear energy systems is in the ultimate management and disposition of discharged fuel assemblies. While reprocessing and recovery ...
IEEE

Improved Early Fetal Health Prediction Model using Multi-layer Perceptron: Deep Learning Approach

In the modern era, fetal health risks has evolved as a critical public health concern, indicating the increase of complications in pregnancy, where fetal mortality is the primary risk concern majorly ...
Frontiers

Transformer winding deformation diagnosis method based on dynamic time warping and multilayer perceptron

To address the issues of strong subjectivity and difficulty in feature extraction that are inherent to traditional frequency response analysis methods used for diagnosing transformer winding ...
IEEE

Differential Via Modeling Using Multilayer Perceptron-Sequential (MLP-SEQ) Neural Network

Abstract: In this paper, an encoder-decoder structured multi-layer perceptron-sequential (MLP-SEQ) networks are proposed to model high-speed differential vias for estimating differential insertion ...
GitHub

SGU-MLP: Pytorch Impelementation of the Spatial Gated Multilayer Perceptron

Pytorch implementation of the SGU-MLP Architecture from the paper "Spatial Gated Multi-Layer Perceptron for Land Use". The implementation follows the implementation of the original authors. It differs ...
C&EN

A Machine Learning-Based Modeling Approach for Dye Removal Using Modified Natural Adsorbents

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. This study used machine learning models to investigate the potential of biosorbents ...
Bleeping Computer

Hackers target Python devs in phishing attacks using fake PyPI site

The Python Software Foundation warned users this week that threat actors are trying to steal their credentials in phishing attacks using a fake Python Package Index (PyPI) website. PyPI is a ...
The Oak Ridger

Modeling buildings' energy use could help lower electric bills

Suppose you meet with an architect and ask her to design a building. You tell her the design you'd like, the size, and where it will be located. You might also specify the level of energy efficiency ...