Decentralised AI marketplaces are online platforms where people and companies can buy, sell, or share artificial intelligence models, data, and related services without relying on a central authority. These marketplaces often use blockchain technology to manage transactions and ensure trust between participants. The goal is to make AI resources more accessible, transparent, and secure for…
Category: Artificial Intelligence
Blockchain-AI Integration
Blockchain-AI integration refers to combining blockchain technology, which records data securely and transparently, with artificial intelligence, which analyses and learns from data to make decisions or predictions. This integration allows AI systems to use data that is trustworthy and cannot be easily changed, while blockchain benefits from AI’s ability to process and interpret large amounts…
AI-Powered Network Security
AI-powered network security uses artificial intelligence to detect, prevent, and respond to cyber threats on computer networks. It can analyse large amounts of network traffic and spot unusual activity much faster than traditional security methods. By learning from previous attacks and patterns, AI systems can adapt to new threats and help protect data and devices…
Predictive Maintenance Models
Predictive maintenance models are computer programs that use data to estimate when equipment or machines might fail. They analyse patterns in things like temperature, vibration, or usage hours to spot warning signs before a breakdown happens. This helps businesses fix problems early, reducing downtime and repair costs.
AI-Driven Supply Chain
AI-driven supply chain refers to using artificial intelligence technologies to manage and optimise the flow of goods, information and resources from suppliers to customers. AI can analyse large amounts of data to predict demand, identify risks, and recommend actions, helping companies make faster and more accurate decisions. This approach can improve efficiency, reduce costs, and…
Deepfake Detection Systems
Deepfake detection systems are technologies designed to identify videos, images, or audio that have been digitally altered to falsely represent someonenulls appearance or voice. These systems use computer algorithms to spot subtle clues left behind by editing tools, such as unnatural facial movements or inconsistencies in lighting. Their main goal is to help people and…
Synthetic Data Generation
Synthetic data generation is the process of creating artificial data that mimics real-world data. This can be done using computer algorithms, which produce data that has similar patterns and properties to actual data sets. It is often used when real data is scarce, sensitive, or expensive to collect.
AI Hardware Acceleration
AI hardware acceleration refers to the use of specialised computer chips or devices designed to make artificial intelligence tasks faster and more efficient. Instead of relying only on general-purpose processors, such as CPUs, hardware accelerators like GPUs, TPUs, or FPGAs handle complex calculations required for AI models. These accelerators can process large amounts of data…
TinyML Optimization
TinyML optimisation is the process of making machine learning models smaller, faster, and more efficient so they can run on tiny, low-power devices like sensors or microcontrollers. It involves techniques to reduce memory use, improve speed, and lower energy consumption without losing too much accuracy. This lets smart features work on devices that do not…
Edge AI Deployment
Edge AI deployment means running artificial intelligence models directly on devices like smartphones, cameras or sensors, instead of sending data to remote servers for processing. This approach allows decisions to be made quickly on the device, which can be important for tasks that need fast response times or for situations where there is limited internet…