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 robots in the next two decades as a whole, but also expects sensors to capture an increasing proportion of the total value in robotic systems.

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.

IDTechEx have released a brand new report, "Quantum Computers 2023-2043". This report covers the hardware that promises a revolutionary approach to solving the world's unmet challenges.

Robots, by definition, are machines with autonomy. Over the past several years, robots have gained significant momentum in a variety of industries, such as logistics and delivery, manufacturing, cleaning and disinfection, and daily services.

While 5G mmWave has yet to take off, 6G research has already begun. But what exactly is 6G, and what are the emerging areas to watch?

What does good look like? Whether trying to predict World Cup results or assess the relative merits of emerging technologies, establishing a meaningful set of performance benchmarks is crucial but challenging.

Collaborative robots, also commonly known as cobots, refer to robots that work side-by-side with human operators. Unlike industrial robots that are separated from human operators, cobots share the same working space as humans. As a relatively new definition, cooperative robots sound like collaborative robots but represents a different nature of the operation.

They may not be ubiquitous yet, and the day-to-day advantages that they will start to provide may not be noticeable, but automated technologies across the automotive industry are starting to come of age.

The market for service, collaborative, and mobile robots is expected to exceed US$90 billion by 2032. Robotics and automation have significantly revolutionized how people work and live across a number of industries

Lidar, which refers to light detection and ranging, is a technology that has been adopted in various applications such as mapping, surveying, military, archaeology, agriculture, geology, industry, etc.

As an important natural resource, water plays an irreplaceable role in people's daily life. Nowadays, water consumption in many regions is under "high stress". Many countries are already experiencing water scarcity, and it is expected that more countries will face a reduced availability of surface water resources by 2050.

Materials informatics (MI) involves using data-centric approaches, including AI and machine learning, to assist scientists and engineers in materials R&D.