Deep Learning with Yacine on MSN

How to Structure Machine Learning Projects for Production

Learn best practices for structuring machine learning projects to ensure smooth deployment and maintainable code. This guide ...

Phase diagram map of ferroelectric properties unlocked with AI in seconds

Researchers from the Hong Kong University of Science and Technology (HKUST) and Tongji University have developed FerroAI, a ...
Purdue University

Machine learning for making machines: Applying visual search to mechanical parts

WEST LAFAYETTE, Ind. — Computer vision researchers use machine learning to train computers in visually recognizing objects – but very few apply machine learning to mechanical parts such as gearboxes, ...
Semiconductor Engineering

Using Machine Learning For Characterizations Of NoC Components

Modern NoC (Network-on-Chip) is built of complex functional blocks, such as packet switches and protocol converters. PPA (performance/power/area) estimates for these ...
IndustryWeek

Machine Learning for Machine Parts

Computer vision researchers use machine learning to train computers in visually recognizing objects – but very few apply machine learning to mechanical parts such as gearboxes, bearings, brakes, ...
Science Daily

Building explainability into the components of machine-learning models

Researchers have created a taxonomy and outlined steps that developers can take to design features in machine-learning models that are easier for decision-makers to understand. Explanation methods ...
NextBigFuture

Google Launched a New Machine Learning Journal and it support reactive diagrams

In collaboration with OpenAI, DeepMind, YC Research, and others, Google has announced the launch of Distill, a new open science journal and ecosystem supporting human understanding of machine learning ...