Green data centres are facilities designed to store, manage and process digital data using methods that reduce their impact on the environment. They use energy-efficient equipment, renewable energy sources like solar or wind, and advanced cooling systems to lower electricity use and carbon emissions. The goal is to minimise waste and pollution while still providing…
Field-Programmable Gate Arrays, or FPGAs, are electronic devices made up of many small blocks called logic gates that can be configured by the user after manufacturing. This means that instead of being limited to one fixed function, an FPGA can be programmed to perform many different tasks depending on the needs of the user. FPGAs…
In-memory processing refers to storing and handling data directly in a computer’s main memory (RAM) rather than on slower storage devices like hard drives. This allows computers to access and analyse information much more quickly, making data processing tasks significantly faster. It is widely used in applications that require real-time results or need to process…
Resistive memory devices are a type of non-volatile memory that store data by changing the resistance of a material within the device. These devices use an electrical current to switch between different resistance states, which represent binary data such as 0s and 1s. Unlike traditional memory like RAM or hard drives, resistive memory retains information…
AI accelerator chips are specialised computer processors designed to handle artificial intelligence tasks much faster and more efficiently than regular computer chips. These chips are built to process large amounts of data and run complex calculations needed for AI, such as recognising images or understanding language. They are often used in data centres, smartphones, and…
Edge analytics is the process of analysing data directly on devices or near where the data is created, instead of sending it to a central server or cloud. This allows for faster decision-making because the data does not have to travel far. It also reduces the amount of information that needs to be sent over…
Analog neural networks use electronic circuits with continuous signals to mimic how biological brains process information. Instead of relying on digital bits and step-by-step calculations, these networks work with voltages or currents that can take on any value within a range. This approach can allow for much faster and more energy-efficient computation compared to traditional…
Optical computing is a method of performing calculations using light instead of electrical currents. This approach takes advantage of the speed at which light travels and the ability to process multiple signals at once using different wavelengths. By using components like lasers, mirrors, and special materials, optical computers aim to perform certain tasks much faster…
Neuromorphic engineering is a field of technology that designs electronic systems inspired by the structure and function of the human brain. Instead of using traditional computing methods, these systems mimic how neurons and synapses work to process information. This approach aims to make computers more efficient at tasks like recognising patterns, making decisions, or processing…
Quantum error correction is a method used in quantum computing to protect information from errors caused by noise and interference. Quantum bits, or qubits, are very sensitive and can easily lose their state due to interactions with their environment. By using special codes and procedures, quantum error correction allows computers to detect and fix these…