Miscellaneous

AI hardware accelerators are specialised processors that handle AI workloads faster and more efficiently than general-purpose CPUs. The three main types — NPUs for on-device AI in laptops and PCs, TPUs for large-scale machine learning in the cloud, and GPUs for versatile AI development and graphics rendering — each serve different users and different needs. Understanding how they differ will help you determine which one is right for you, or whether you need one at all.

In this guide, we'll explain the meaning of NPU from scratch. We will explain what an NPU is in comparison to CPUs and GPUs, show you real-world examples of what an NPU actually does, and help you determine whether you should consider one for your next laptop. No technical knowledge is necessary.

In this guide, we break down the top seven emerging cybersecurity risks affecting real consumers and explain how to protect your devices from hackers using practical steps.

Business printing remains time-consuming and error-prone for many organisations. Manual order processing, fragmented email coordination, and inconsistent workflows create inefficiencies that drain productivity and increase costs.

Hackers cannot compromise your software, organisation, or hardware without interacting with your devices, online accounts, and internet connection. Whether you’re working remotely from Auckland, running a small business in Wellington, or studying in Christchurch, your digital security is only as strong as your weakest entry point. While “attack surface” sounds technical, it is a practical security concept everyone should understand.

Quick Answer: Intel AI Boost is an NPU (Neural Processing Unit) in Intel® Core™ Ultra processors delivering 13 TOPS performance for Windows 11 AI features. The HP OmniDesk Desktop AI PC (M03 series) uses this technology for faster video calls, AI photo editing, Live Captions, and Copilot integration — without taxing the CPU.

In 2025, Microsoft announced the discontinuation of support for Windows Subsystem for Android (WSA) users. This meant that full-fledged Android apps would no longer be functional on Windows 11. Unfortunately, users who relied on these apps for communication or recreation would be most affected by the change — and New Zealand users are no exception.

Physical AI integrates artificial intelligence with real-world physical systems, moving AI beyond digital screens into tangible reality. A common example is the robot vacuum that uses physical AI to navigate furniture, avoid stairs, and self-charge—a capability that extends beyond simple programming.

This technology represents a major evolution from software-only systems like chatbots and recommendation algorithms. Applications include surgical robots performing precise operations and autonomous vehicles driving on public roads.

This article explores the key differences between physical AI and software-based AI, focusing on deployed, real-world systems currently transforming industries.

What Is Physical AI?

Physical AI, also known as embodied AI, integrates artificial intelligence with devices that perceive, move, and engage with the physical environment. Unlike software-only AI, physical AI systems sense their surroundings and perform actions that alter those environments.

Physical AI

Quick Answer: HP OmniDesk Desktop PCs combine elegant wood-inspired design with powerful performance — featuring DDR5 memory, Wi-Fi 6, PCIe Gen4 SSDs, and Microsoft Copilot integration. Available in Intel, AMD Ryzen, and compact Slim variants, built with recycled materials and EPEAT Gold certified for sustainable home offices.

Quick Answer: HP Wolf Security is an AI-powered endpoint protection suite combining deep learning malware detection (Sure Sense), hardware-enforced micro-VM isolation (Sure Click), and self-healing BIOS protection (Sure Start) to stop threats from firmware to cloud in real time.