Government of India released an Expression of Interest (EoI) inviting companies and consortia for setting up or expanding Semiconductor wafer/ device FAB facilities in India.

In this article series, we’ll dive deep into (1) what these industrial process control systems look like today, (2) how AI can augment them using existing plant data, and (3) what manufacturers and utilities can do today to unlock significant cost saving and process compliance opportunities.

In this blog post, we will look at a few examples of DFM in action along with a review of tools and technique to programmatically automate the review process.

AI and Automation in a Post-Pandemic World. How AI has (deeply) reshaped an industry

The black swan event of COVID-19 put brakes on economic expansion and aggravated those economics already reeling under recession. As economic recovery begins across the world, manufacturing companies find themselves grappling with gyrating demand scenarios. The catastrophic event has made it difficult for manufacturers to project demand, manage inventory and plan their production cycles as…

3D technologies get better every year and their impact continues to grow. We keep experiencing more 3D generated content in anything from social media feeds to 3d printing, form VR/AR to 3D scanning.

Using IIoT and AI improves decision-making and management by blending internal and external data into predictions, insights, and choices to guide operational actions.

Achieving zero accidents with artificial intelligence in manufacturing.

Many things going on in manufacturing right now such as the use of AI, augmented reality, and virtual reality can be enabled and aided by 5G.

Lesson learned from manufacturing a physical product to building a scalable e-commerce platform on AWS . 2020 turned out to be radically different from what everyone had expected. COVID-19 has impacted our lives in many ways. As the pandemic spread, one question that baffled us was: what can we do with technology to combat the virus?.

When it comes to deploying AI for an application, manufacturers need to think deeply not only what to develop, but also the physical incarnation of the envisioned AI system.

NASSCOM Centre of Excellence IoT & AI, an initiative of the Ministry of Electronics & Information Technology (MeitY), and the Gujarat government organised a Manufacturing Innovation Challenge 2020 (MIC2020) from 15th July 2020 to 21st August 2020.

Artificial intelligence is the process of quickening human knowledge that centers around getting information and making rules for transforming the data.

In the following interview, we connected with Dr Sheela to know more about her data science career and the work she has been doing at Bosch to transform the manufacturing processes using AI/ML solutions. Dr Sheela also shared some useful tips for aspiring data scientists.

Global Quality Compliance leader, Shellye Archambeau says that: Experts have estimated that COPQ typically amounts to 5–30 percent of gross sales for manufacturing and service companies.

AI and the race to pandemic-proof American factories. Robotics, AI, and automation from Global Villans to Global Saviours

Digital Twins in Manufacturing: Uses, Benefits, and Challenges. An enterprise-class infrastructure can enhance the effectiveness of digital twin initiatives and enable innovative applications.

In this article, let's take a look at various use cases of computer vision at different stages of manufacturing.

In this article, let's take a look at various use cases of computer vision at different stages of manufacturing. The manufacturing industry has been going undergoing a major digital transformation. The traditional model is evolving to be known as Industry 4.0.

In this article, let's take a look at various use cases of computer vision at different stages of manufacturing. The manufacturing industry has been going undergoing a major digital transformation. The traditional model is evolving to be known as Industry 4.0. With rapid developments in different areas including imaging techniques; CMOS sensors; embedded vision; machine and deep learning; robot interfaces; data transmission standards and image processing capabilities