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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.