Gait recognition is a technology that identifies individuals by analysing the way they walk. It uses cameras and software to capture and compare movement patterns, such as stride length, speed, and body posture. This method works at a distance and does not require physical contact or cooperation from the person being identified.
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…
AI for climate modelling uses artificial intelligence to help predict and understand changes in the Earth’s climate. It can process large amounts of environmental data much faster than humans could, making it easier to spot patterns and trends. This helps scientists create more accurate forecasts about temperature, rainfall, and extreme weather events.
AI for Seismology refers to the use of artificial intelligence methods, such as machine learning and deep learning, to analyse seismic data and improve our understanding of earthquakes and underground structures. These tools can quickly sort through vast amounts of data recorded by sensors, helping scientists detect patterns, identify earthquake signals, and predict seismic events…
AI for Neurology refers to the use of artificial intelligence technologies to assist in understanding, diagnosing and treating disorders of the nervous system. AI tools can analyse brain scans, patient records and neurological test results much faster and more accurately than most traditional methods. These systems help doctors spot patterns, predict disease progression and personalise…
AI for medical imaging refers to using artificial intelligence technologies to help analyse and interpret medical images such as X-rays, CT scans and MRIs. These systems can quickly detect patterns or abnormalities that might be difficult for humans to spot. By assisting doctors, AI can help improve the accuracy and speed of diagnosing diseases.
AI for proteomics refers to the use of artificial intelligence techniques to analyse and interpret the large and complex datasets generated in the study of proteins. Proteomics involves identifying and quantifying proteins in biological samples, which is important for understanding how cells function and how diseases develop. AI helps by finding patterns in the data,…
AI for genomics refers to the use of artificial intelligence techniques to analyse and interpret genetic information. By processing large amounts of DNA data, AI can help identify patterns, predict genetic conditions, and assist scientists in understanding how genes influence health and disease. This approach speeds up research and can make genetic testing more accurate…
AI for Particle Physics refers to the use of artificial intelligence techniques, such as machine learning and deep learning, to help scientists analyse and interpret data from experiments in particle physics. These experiments produce vast amounts of complex data that are difficult and time-consuming for humans to process manually. By applying AI, researchers can identify…
AI for Astrophysics refers to the use of artificial intelligence techniques, such as machine learning and data analysis, to solve problems and make discoveries in astrophysics. These methods help scientists process huge volumes of data from telescopes and space missions, identifying patterns and signals that might be missed by traditional analysis. AI tools can speed…