November 2025

In order to meet the massive demand for AI, Google wants to double the overall size of its servers every six months, a growth rate that would create a 1000x greater capacity in the next four or five years. The statement came from the head of Google’s AI infrastructure, Amin Vahdat, during an all-hands meeting […]

We’ve all seen the headlines: a third of US college students say they use ChatGPT for writing tasks at least once a month. The share of US teens turning to the same tool for schoolwork doubled between 2023 and 2024. Generative AI tools overall are a fixture of life for seven out of ten teens.

AI spending in Asia Pacific continues to rise, yet many companies still struggle to get value from their AI projects. Much of this comes down to the infrastructure that supports AI, as most systems are not built to run inference at the speed or scale real applications need. Industry studies show many projects miss their

Alibaba’s recently launched Qwen AI app has demonstrated remarkable market traction, accumulating 10 million downloads within seven days of its public beta release—a velocity that exceeds the early adoption rates of ChatGPT, Sora, and DeepSeek. The application’s rapid uptake reflects a strategic shift in how technology giants are approaching AI commercialisation. While international competitors like

With its WorldGen system, Meta is shifting the use of generative AI for 3D worlds from creating static imagery to fully interactive assets. The main bottleneck in creating immersive spatial computing experiences – whether for consumer gaming, industrial digital twins, or employee training simulations – has long been the labour-intensive nature of 3D modelling. The

OpenAI has introduced group chats inside ChatGPT, giving people a way to bring up to 20 others into a shared conversation with the chatbot. The feature is now available to all logged-in users after a short pilot earlier this month, and it shifts ChatGPT from a mostly one-on-one tool to something that supports small-group collaboration.

The Royal Navy is handing the first line of its recruitment operations to a real-time AI avatar called Atlas. Atlas is powered by a large language model and has been deployed to field questions from prospective submariners. The deployment shows how AI can support a shift from slow text-based triage to fast and immersive automated

Many organisations are trying to update their infrastructure to improve efficiency and manage rising costs. But the path is rarely simple. Hybrid setups, legacy systems, and new demands from AI in the enterprise often create trade-offs for IT teams. Recent moves by Microsoft and several storage and data-platform vendors highlight how enterprises are trying to

Choosing the right thermal binoculars is essential for security professionals and outdoor specialists who need reliable long-range detection. Many users who previously relied on the market’s best night vision binoculars now seek advanced thermal imaging for superior clarity, extended range, and weather-independent performance. In 2026, ATN continues to lead the market with cutting-edge thermal binoculars

Enterprise AI deployment has been facing a fundamental tension: organisations need sophisticated language models but baulk at the infrastructure costs and energy consumption of frontier systems.  NTT Inc.’s recent launch of tsuzumi 2, a lightweight large language model (LLM) running on a single GPU, demonstrates how businesses are resolving this constraint—with early deployments showing performance matching larger