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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.

Thursday 16 March - This webinar will; Explain the main areas which rely on semiconductor technologies in modern vehicles; Discuss how automation and electrification trends will impact semiconductor demand; Show the current capabilities of automotive tier 2 companies; and Examine how the supply chain is shifting to accommodate more high-performance computing in vehicles

As a pioneer in adopting traditional industrial robots, the automotive manufacturing industry has significantly improved its productivity and efficiency. Although traditional industrial robots have presented significant benefits, one of the fundamental challenges is their high downtime costs.

IDTechEx's new "Automotive Semiconductors 2023-2033" report provides a deep dive into the existing and emerging semiconductor technologies used in vehicles today and tomorrow. The report focuses on the areas of automation and electrification, explaining what semiconductor technologies are needed and how their growth is going to drive a 10-year CAGR of 9.4% in the automotive semiconductor market.

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.

Wednesday 8 February 2023 - Technological Developments and Applications. Contents that will be covered in this webinar include: An overview of PIC technology; Drivers of increased data demands from data centres; PIC trends in the communications industry; and PIC adoption in other markets

Quantum Computers: What Are They and When Will They Create Commercial Value? In the last decade, the number of companies actively developing quantum computer hardware has quadrupled. In 2022 multiple funding rounds surpassing US$100 million have been closed, and the transition from lab-based toys to commercial products has begun.

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…

As high-performance computing, artificial intelligence and machine learning algorithms, and even consumers become increasingly data-hungry, hardware struggles to keep pace. In addition, the need for real-time assessments of moving data points - such as for the accurate velocity-mapping of other objects in autonomous systems and facial recognition for security systems - is crucial to an increasingly hands-free society.