Intellegens Blog

Discussing applied machine learning for chemicals, materials, and manufacturing.

Attribution: Birmingham Museums Trust. Image sourced from Wikimedia. Licensed under Creative Commons Attribution 2.0 license.

Metal innovation – 10,000 years and counting

September 29, 2022

Stuck in a repetitive loop

Didn’t we do this already? More value from R&D knowledge

August 30, 2022

Who gets the key to the machine learning treasure trove?

Who gets the key to the machine learning treasure trove?

July 20, 2022

Embrace uncertainty, get concrete results

Embrace uncertainty, get concrete results

June 28, 2022

Plastics

Machine learning and The Age of Plastic

May 25, 2022

On target

5 questions that might matter more than ‘is it accurate?’

April 27, 2022

Hazardous materials

Making it greener, keeping it safe – responding to regulatory challenges

March 29, 2022

Think outside the black box

Think outside the black box – Explainable AI

February 23, 2022

Riddle me this: Innovation bottlenecks and machine learning

Riddle me this: Innovation bottlenecks and machine learning

January 26, 2022

3 ways to stay ahead in the R&D race – Machine learning and time-to-market

3 ways to stay ahead in the R&D race – Machine learning and time-to-market

December 9, 2021

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Have you really got nothing better to do? Ditching the experimental treadmill

November 23, 2021

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