Manufacturing IT, MES

Engineers put thousands of artificial brain synapses on a single chip

MIT engineers have designed a brain-on-a-chip made from tens of thousands of artificial brain synapses known as memristors, which could enhance the develop of portable AI devices.

Five ways digital transformation metrics give manufacturers more flexibility

Digital transformation (DX) provides manufacturers with more flexibility and transform industrial processes and operations. See five ways metrics cover the DX solution lifecycle.

Cloud efficiency platform developed for databases

A Purdue University data science and machine learning professor has developed OPTIMUSCLOUD, which is designed to give cloud efficiency to organizations and users for data-intensive situations like the COVID-19 pandemic.

Data flow is no longer hierarchical

Can industrial edge computing fit into the Purdue model?

Reducing AI’s carbon footprint

MIT researchers have developed an automated AI system for training and running certain neural networks that also cuts down the pounds of carbon emissions involved.

Machine learning model quantifies quarantine measures on COVID-19’s spread

A machine learning algorithm developed by MIT researchers combines data from COVID-19’s spread with a neural network to assess the impact of quarantine measures and predict when infections will slow down in each country.

Remote monitoring and data visualization

Remote monitoring and data visualization are key to improving overall manufacturing efficiency.

Edge computing terms and skills

Six edge computing questions to ask about data collection, networking and control systems.

Coronavirus reveals weaknesses, potential opportunities in supply chain

Even in the wake of COVID-19 (coronavirus), manufacturers still need human workers to manage the supply chain. The need for more automation and information is an opportunity for manufacturers.

Doing machine learning the right way

MIT Professor Aleksander Madry strives to build machine-learning models that are more reliable, understandable and robust.