Industrials
Sustainable innovation: business model and technology must evolve together
Reimagining the future
Industrials
Keeping the cost down: can urban air quality monitors and 5G communications providers cooperate?
Industrials
Swarming service robots? How human-multi-robot collaborative teams will tackle real-world problems
Industrials
Advanced statistical testing to reduce development costs and improve machine reliability
Industrials
How to build working AI models when you are short on training data: AI as part of the business transformation toolkit (Part 3)
The sights of Artificial Intelligence (AI) can be trained on almost any business problem that will benefit from automation. But what if training data for your problem is in short supply? In this blog, Simon Shakespeare shares a few tricks for training AI without reinventing the algorithmic wheel or by creating training data out of thin air.
Industrials
AI – The Blinking Red Warning Light
In the second post of his series, Simon Shakespeare responds to a concern that AI might soon hit some long-anticipated roadblocks and finds reassurance in the many other AI tools still left in the engineer’s toolbox.
Industrials
Layer-by-layer NDT for additive manufacturing: a new paradigm in quality assurance
Additive manufacturing (“AM” popularly called “3D printing”) is often seen as a way to produce unique parts, but a much less discussed, though generally more beneficial, feature of the technology is the “complexity-for-free” aspect.
Industrials
Fashion or Future? AI as part of the business transformation toolkit
Artificial Intelligence could be the solution to all our woes or the most over-hyped technology of our age. Even defining AI can seem problematical, given that we have trouble defining what regular intelligence is. Does that mean AI is over-rated, or just that our expectations of what it can do are over-inflated? How does AI really fit into the toolkit for business transformation?
