Lindsay James

Author's details

Name: Lindsay James
Date registered: September 18, 2015

Latest posts

  1. Virtual simulations of many-layered systems hold promise of taming complexity — May 1, 2018
  2. A MODEL IN THE MAKING – Virtual simulations of many-layered systems hold promise of taming complexity — January 17, 2018
  3. MACHINES THAT LEARN: Artificial intelligence may transform manufacturing, but adoption is slow — October 11, 2017
  4. Into the Fold: How Origami is Helping to Solve Manufacturing Challenges — September 24, 2015

Most commented posts

  1. MACHINES THAT LEARN: Artificial intelligence may transform manufacturing, but adoption is slow — 1 comment

Author's posts listings

May 01 2018

Virtual simulations of many-layered systems hold promise of taming complexity

Engineering complex systems involves unifying multiple disciplines, which often operate in silos and use a wide range of incompatible tools. Engineering for the Internet of Things (IoT) demands even more interconnections. Virtual prototyping with a model-based systems engineering (MBSE) approach – which uses integrated 3D digital simulations of all systems working together – promises relief. …

Continue reading »

Permanent link to this article: http://www.apriso.com/blog/2018/05/virtual-simulations-of-many-layered-systems-hold-promise-of-taming-complexity/

Jan 17 2018

A MODEL IN THE MAKING – Virtual simulations of many-layered systems hold promise of taming complexity

Engineering complex systems involves unifying multiple disciplines, which often operate in silos and use a wide range of incompatible tools. Engineering for the Internet of Things (IoT) demands even more interconnections. Virtual prototyping with a model-based systems engineering (MBSE) approach – which uses integrated 3D digital simulations of all systems working together – promises relief. …

Continue reading »

Permanent link to this article: http://www.apriso.com/blog/2018/01/a-model-in-the-making-virtual-simulations-of-many-layered-systems-hold-promise-of-taming-complexity/

Oct 11 2017

MACHINES THAT LEARN: Artificial intelligence may transform manufacturing, but adoption is slow

Manufacturers recognize that artificial intelligence offers an exciting future, enabling greater automation, improved predictive maintenance and a move to mass customization. While adoption so far remains slow, experts agree that the combination of human expertise and industry-wide collaboration will pave the way for success. Advances in artificial intelligence (AI) – defined by San Francisco-based computing …

Continue reading »

Permanent link to this article: http://www.apriso.com/blog/2017/10/machines-that-learn-artificial-intelligence-may-transform-manufacturing-but-adoption-is-slow/

Sep 24 2015

Into the Fold: How Origami is Helping to Solve Manufacturing Challenges

This article examines how “East meets West,” and how the engineering of Origami can be used to apply to modern day engineering and manufacturing challenges.

Permanent link to this article: http://www.apriso.com/blog/2015/09/into-the-fold-how-origami-is-helping-to-solve-manufacturing-challenges/