AI systems are shifting from a single general model to multiple specialised models coordinated within a structured system. Image credit: KorishTech (AI-generated). One AI model was enough when AI systems were still treated like interfaces.Today, AI multi-model systems are replacing that approach as production workflows demand consistency, cost control, and reliability. A single model could […]

AI systems are shifting from a single general model to multiple specialised models coordinated within a structured system. Image credit: KorishTech (AI-generated). AI model customization is becoming an architectural requirement, not an optimisation. A recent MIT Technology Review analysis highlights a shift already visible in production systems: companies are moving away from relying on a

AI systems can simulate emotional responses that feel personal and attentive, even without real emotion. Image credit: KorishTech (AI-generated). Emotional connection with AI is becoming increasingly common. A BBC Future question captures a shift that is already happening in public: people are not only using AI to ask questions or complete tasks, but to talk,

Modern space missions operate as coordinated systems of multiple independent subsystems rather than a single machine. Image credit: KorishTech (AI-generated). System of systems problems are becoming the defining challenge in modern engineering. NASA’s Artemis II mission is not limited by how powerful its rocket is or how advanced its spacecraft is. It is limited by

Artemis II highlights how modern missions depend on tightly coordinated systems rather than a single breakthrough. Image credit: KorishTech (AI-generated). The Artemis II mission marks the first human deep-space flight in over 50 years, but its purpose goes beyond reaching the Moon. Artemis II is often described as a return to the Moon. But NASA’s

AI development is shifting from larger models to more efficient systems, where optimisation matters as much as scale. Image credit: KorishTech (AI-generated). AI efficiency models are changing how progress in artificial intelligence is measured, shifting focus from larger models to more efficient deployment. In recent years, AI progress has been closely associated with scale. Larger

Strong mechanism article extending AI infrastructure cluster. Connects policy signal (BBC) to physical constraint (compute + energy). Reinforces Article 32 (authority) and supports Article 33 (search entry). Google Research introduced TurboQuant AI compression as a method that reduces the memory required to run large AI models by at least six times while maintaining performance. This

AI systems depend on large-scale data centres, compute, and energy infrastructure rather than talent alone. Image credit: KorishTech (AI-generated). The UK government has committed £2.5bn to AI and launched new AI Growth Zones, while AI infrastructure London is becoming the key factor behind its position as a global AI hub. But this does not determine

Thousands of light sticks can be controlled together to create synchronised effects across a concert audience. Image credit: KorishTech (AI-generated). Concert light sticks are not just glowing accessories. At large concerts, how concert light sticks work becomes visible when thousands of fans light up at the same time. This is why entire stadiums can change