Generative AI could transform product design, but raises questions about creative ownership.

The recent ousting and subsequent rehabilitation of OpenAI's CEO added some theater to the debate and buzz around artificial intelligence. AI, it seems, is everywhere and in everything from our smartwatches and phones to automobiles, data centers and factories.

With the explosion in generative AI like OpenAI's ChatGPT, it's also taking on creative roles that we might have assumed would remain the preserve of human intellect. For a while now, it has been possible to generate realistic images of human faces – not copies but unique individuals that never existed except inside a computer. Also, in 2023, the fashion brand Levi's became one of the first companies to suggest it would use AI-generated clothing models. These are expected to improve the shopping experience for customers by helping them assess clothes on likenesses that have a similar body shape and size to their own. Of course, it's also likely to help brands cut marketing and merchandising costs.

Let's set aside the prospects for the first AI catwalk model, or photographer, or bestselling novelist, and consider activities at the border between engineering creativity and design automation.

AI factories could be the next step for smart manufacturing.

Joined-up thinking is a concept that can deliver a multitude of benefits. Where there are many differing interests to satisfy, bringing together ideas and coordinating actions in a holistic approach can lead to a better outcome for all. Not the least, it can reduce duplication of efforts and resources, making processes more streamlined and cost-effective.

In practice, joined-up thinking is often difficult to achieve. Institutional barriers, differing priorities among stakeholders, and the sheer number and diversity of variables to evaluate and manage can conspire to thwart the best intentions.

Manufacturing is a complex sequence of events that demands substantial joined-up thinking simply to make it happen and see a result coming off the production line. Increasingly, however, this is not enough in the modern world. Numerous related factors must be considered, especially the environmental impact of our activities. Smart manufacturing has enabled us to address some of these issues, connecting the factory and IT domains and bringing manufacturing data into enterprise systems to enhance planning and historical analysis for continuous improvement. This is joined-up thinking 2.0, if you like.

While the 5G era continues to take hold, materials science must advance for us to move to the next stage.

It's part of the human condition to never be satisfied. We are always looking forward to what comes next, and this tendency is starkly evident in our attitudes toward technology. As our daily lives have become substantially enabled, empowered, and – many would probably agree – enhanced by the technology in our pockets, in our cars, and in our homes and offices, we have become increasingly demanding of more and better. More features and functions, more sophistication, faster responses, less waiting.

Our attitudes toward mobile services illustrate the point. No sooner had 5G networks started rolling out than the focus shifted to 6G and the exciting new opportunities it could bring. But is this a harsh truth about our nature, or simply the reality of a massive scientific and engineering challenge? The mobile industry has established a rhythm that introduces a new generation about once every 10 years: 3G arrived around 2000, 4G-LTE in 2010, and 5G rollouts based on Release 15 of the 3GPP specification began around 2020. 5G evolution has continued, with non-standalone deployments giving way to standalone 5G core and further enhancements in 3GPP Release 16 and 17 to support industrial IoT (IIoT) applications. Release 18 now paves the way for 5G Advanced, which will offer energy savings and greater spectral efficiency, leverage AI to improve network performance, and, of course, enable additional new services and enhanced capabilities.

Mobile health is a pandemic-driven change that could benefit everyone.

The pandemic has driven countless changes in behavior, lifestyles, working patterns, and our values. Many of us are taking a keener interest in our health than before and we're using the technology in our pockets to help keep on top of our wellbeing. Mobile health, or m-health, is a growing market that already hit $60 billion in 2022 and is predicted to top $300 billion by 2030.

We know that the sooner we seek help with an illness, the better the prospects for a satisfactory outcome. Despite this, many of us, upon noticing any unusual signs, are inclined to "wait and see." That's usually less than ideal and sometimes has dire consequences. M-health not only permits better self-awareness by enabling continuous monitoring of our own vital signs, but can also overcome procrastination by automatically reporting any worrying signs as soon as they become apparent. A suitable response and – if necessary – a care plan can then be configured quickly, leading to faster recovery. Our devices can effectively take us to the (digital) doctor at the first sign of trouble. This should contribute to better health and longer lives for everyone. It may also reduce the overall load on healthcare services by helping more people avoid acute conditions that can be costly and time consuming to treat.

It's also clear that m-health will lead to an explosion in the quantity of potentially sensitive personal data gathered into the systems that manage our care. This is necessary to accumulate digital knowledge regarding the indicators for various conditions, so that systems can become progressively better at detecting illnesses in their early stages and recommending the best course of action. Moreover, this knowledge will be based on real case data and therefore should be accurate and unbiased.