AI-driven network optimisation is the use of artificial intelligence to monitor, manage, and improve computer networks automatically. AI analyses large amounts of network data in real time, identifying patterns and predicting issues before they cause problems. This approach allows networks to adapt quickly to changing demands, reduce downtime, and improve efficiency without constant manual intervention.
Category: Artificial Intelligence
Predictive Maintenance
Predictive maintenance is a method used to anticipate when equipment or machinery might fail, so that maintenance can be performed just in time to prevent breakdowns. It relies on data collected from sensors, inspections, or historical records to estimate when maintenance should be done. This approach helps avoid unexpected downtime and reduces unnecessary maintenance costs…
AI in Supply Chain Optimization
AI in supply chain optimisation refers to using artificial intelligence technologies to improve the flow of goods, information and finances in supply chains. AI can analyse large amounts of data to predict demand, optimise routes and manage inventory more efficiently. This helps businesses reduce costs, shorten delivery times and respond more quickly to changes or…
Automated Bug Detection
Automated bug detection is the use of software tools or systems to find errors, flaws, or vulnerabilities in computer programs without manual checking. These tools scan source code, compiled programs, or running systems to identify issues that could cause crashes, incorrect behaviour, or security risks. By automating this process, developers can catch problems early and…
AI-Powered Code Review
AI-powered code review uses artificial intelligence to automatically check computer code for mistakes, style issues, and potential bugs. The AI analyses code submitted by developers and provides suggestions or warnings to improve quality and maintain consistency. This process helps teams catch errors early and speeds up the review process compared to manual checking.
Deepfake Detection
Deepfake detection is the process of using technology to identify videos, images, or audio that have been manipulated using artificial intelligence to make them look or sound real, even though they are fake. These digital fakes can be very convincing, often swapping faces or mimicking voices. Deepfake detection tools look for subtle signs that reveal…
Synthetic Media Generation
Synthetic media generation refers to the creation of images, videos, audio, or text using computer algorithms rather than capturing them directly from real life. This process often uses artificial intelligence, such as deep learning models, to produce content that can look or sound convincingly real. Synthetic media can be used for entertainment, education, advertising, or…
AI for Drug Discovery
AI for Drug Discovery refers to the use of artificial intelligence techniques to help identify and develop new medicines. These systems can analyse large amounts of scientific data much faster than humans, finding patterns and connections that might otherwise be missed. By using AI, researchers can predict how different chemical compounds might affect the body,…
Computational Neuroscience
Computational neuroscience is the study of how the brain processes information using mathematical models, computer simulations, and theoretical analysis. It aims to understand how networks of neurons work together to produce thoughts, behaviours, and perceptions. Researchers use computers to simulate brain functions and predict how changes in brain structure or activity affect behaviour.
AI-Driven Synthetic Biology
AI-driven synthetic biology uses artificial intelligence to help design and build new biological systems or modify existing ones. By analysing large amounts of biological data, AI systems can predict how changes to DNA will affect how cells behave. This speeds up the process of creating new organisms or biological products, making research and development more…