Resources

This paper outlines the development of a tool which digitalizes 2- dimensional Engineering Drawings using image processing and machine learning modules

This paper suggests cloud PaaS or open stack components that can be substituted wherever applicable

This paper explores various machine learning algorithms and an autoencoder to detect anomalies that can help developers quickly identify

With the rapid increase in the rate of data generation and acquisition it has become increasingly important to have embedded and edge devices run AI models for executing specific tasks. Artificial...

This can be used in providing further insight into failures, by implementing Prognostic and Health Management (PHM) framework

The automotive industry is highly reliant on legacy software. This software eventually needs to be adapted and migrated to multi-core platforms to enable the vehicle manufacturers to add more...

With evolving software based automotive technologies such as V2X connectivity, autonomous vehicle etc. the adoption of AUTOSAR continues to grow in automotive

By adopting A.C.E.S (Analyze, Connect, Experience, Secure), organizations will imbibe customer centric culture in their DNA which is more than just providing a good customer experience

This book outlines how PLM 4.NOW transforms the current value chain and why it is imperative to create a perfect blend of IT and engineering. It charts a way for you to drive this shift

This discussion paper, from L & T Technology Services, a global leader in Engineering and R&D services, explores the dilemma facing manufacturers

Our focused solutions can help you reset and realign your operations to adjust to the new normal of manufacturing.

At LTTS, we understand the challenges that the manufacturing industry is facing in the current times and we are here to help