Quantum technology: addressing the packaging challenge to foster commercialisation
The UK and other countries are building a vibrant quantum technology ecosystem that soon needs to become self-sustaining. Will addressing the “quantum technology packaging challenge” more rapidly create a quantum economy that delivers the benefits of Quantum 2.0? A blog by William Hamlyn, Laura Wright and Ben Metcalf.
Is "sharing" space on wafers an effective solution for micro-fabrication prototyping?
MPWs can be a low-cost and accessible way of making your first MEMS chip, but what do you need to know before choosing this route? In this blog, we discuss the pros and cons, alongside examples of three TTP-internal MPW projects, ranging from more conventional bulk microfabrication to lesser-known polymer and plastic-related processes.
Lidar: How to get OEM orders with diffractive optics
Recent industry deals show what automotive lidar companies need to win an OEM order: a credible path to low-cost, compact products. The sensor optics and unconventional optical designs can offer that much-needed edge over competitors, says Alex Coney.
Autonomous mobility: How do we prevent vehicles from going blind?
To deliver on the promise of greater safety than human drivers, the sensors of autonomous vehicles need to be kept spotlessly clean. Which technology is up to the task, and who will take ownership of what could become a point of competitive advantage in a burgeoning industry, asks Tom Jellicoe.
Sustainable innovation: business model and technology must evolve together
Most companies are already setting themselves specific sustainability targets. The question now is how to meet them. Sam Hair and Michael Sequeira show how business model and technology innovation should work in tandem to achieve improved sustainability success.
Keeping the cost down: can urban air quality monitors and 5G communications providers cooperate?
Finding sites for new infrastructure in a city is difficult and expensive. This is particularly true when there are tight restrictions on where equipment can be located in order to function.
Swarming service robots? How human-multi-robot collaborative teams will tackle real-world problems
What innovations can increase the adoption of robotics more widely in the commercial sector? Rather than focus on complexity to enable such robots to operate in challenging environments, Simon Shakespeare makes the case for less sophisticated but more specialised robots working in collaborative teams.
Advanced statistical testing to reduce development costs and improve machine reliability
Testing an automation system, a robot or a complex high-value machine for reliability is a long, expensive, and challenging part of product development. Simon Shakespeare sees a future where product design for reliability is increasingly informed by simulations and statistical approaches to testing, giving engineers confidence in a design before any hardware prototype has been committed to production.
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.
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.