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While the current AI boom is only just getting started, an early winner is Nvidia, who - on Tuesday, May 30th - saw the company's market capitalization exceed US$1 trillion for the first time. For a chip designer with no fabrication capabilities of its own, this is a significant moment.

Wednesday 7 June 2023 - AI capabilities and why these matter; The link between AI and semiconductor manufacture; Reasons for government funding initiatives into shoring up domestic semiconductor supply chain capabilities; Outlook, both with regards to the effectiveness of these campaigns, as well as the global semiconductor supply chain and AI chips until 2033.

With the high inflation, increasing labor costs, labor shortage, energy crisis, and hybrid working, the manufacturing industry experienced significant turmoil in 2022. Although some of these have started to get eased, 2023 is still expected to be a challenging year for the manufacturing industry.

Artificial Intelligence has come a long way since the success of DeepMind over Go world champion Lee Sedol in 2016; the world is beginning to change according to the new possibilities afforded by AI. From the robust predictive abilities of OpenAI's ChatGPT - where the AI chatbot can be used for all sorts of purposes, from creating scripts (including malware) to writing academic essays - to AI image generators that are so good that they can win…

Materials informatics is the application of data-driven methods, including machine learning techniques, to the field of materials science. This important part of the digital transformation toolbox for the materials industry has wide-ranging benefits, but the ability to enhance the sustainability of materials and their manufacturing processes could be the most impactful of these.

6G is the next generation of wireless technology that promises to go beyond mobile communication and revolutionize how people interact with the world around them. According to IDTechEx's latest 6G research, 6G could be with us in 2028 at the earliest.

Autonomous mobility is the key value proposition for many robots. Thanks to the successes of self-driving systems in commercial vehicles from companies like Tesla and John Deere. Autonomous driving has gained significant momentum across the robotics industry.

With an increasing demand for automation in the 21st century, robots have had rapid and unprecedented growth across many industries, including logistics, warehousing, manufacturing, and food delivery.

The materials industry is sometimes described as conservative, but digital transformation is well underway in the sector. Materials informatics - the application of data-centric approaches, including machine learning, to materials R&D - has the potential to be the most impactful arm of this process.

The Road to More Intelligent Robots? Sensors are crucial for the value proposition behind many intelligent robotic systems. With the increasing demand for robots to handle complicated tasks, the growing adoption of robots, and the decreasing costs of sensors, the market for sensors in robotics is rapidly growing. It is expected to exceed US$80 billion by 2043. This fast growth and the substantial market size are partially driven by the growth of…