Resources

Post-quantum cryptography is a new class of algorithms designed to withstand attacks from future quantum computers. Today’s public-key methods such as RSA and elliptic-curve cryptography could be broken by sufficiently powerful quantum machines. That creates a “harvest-now, decrypt-later” risk where attackers store encrypted data today and wait for quantum capability to catch up. In 2024 the US National Institute of Standards and Technology approved three standards for quantu

Adversarial attacks are inputs crafted to mislead machine-learning models while looking ordinary to people. A few pixels on a road sign can flip a vision model’s prediction. A carefully phrased sentence can make a language model reveal hidden instructions. A short, inaudible sound can trigger a voice assistant.These attacks target the gap between how models generalise and how humans perceive the same data. Quick summary Goal: make a system behave incorrectly without raising h

Edge AI means processing data where it’s created—on devices, cameras, or sensors—rather than sending it to a distant cloud. This approach combines edge computing  and artificial intelligence  to run models locally.In 2025, edge AI  systems are becoming standard across industries, helping organisations analyse and act on data instantly. At its core, edge AI collects input from nearby hardware, processes it on-site, and delivers decisions in milliseconds. That local processing

A personal AI co-pilot is an intelligent assistant that supports day-to-day work rather than replaces it. These systems sit alongside humans, managing routine tasks, suggesting actions, and offering data-driven insights in real time. They can be coding copilots, writing aides, sales assistants, or meeting summarisation tools all designed to make people faster and more focused. Modern AI copilots work through context awareness. They read what the user is doing, interpret inten

Artificial intelligence is changing how work gets done, but its success depends on how people use it. Teams that see AI as a collaborator, not a competitor, gain an advantage. Those that resist it risk falling behind. The challenge for organisations today is less about adopting new tools and more about guiding people through that change. This article looks at practical ways to reskill and upskill teams so they work alongside AI with confidence and purpose. Why Do Teams Often

AI in energy systems refers to the use of algorithms to manage electricity production, distribution, and storage. These systems analyse...

The question of whether artificial intelligence could one day deserve rights is moving from science fiction into mainstream debate. As AI...

Artificial intelligence is increasingly part of the fashion world, shaping how collections are designed, presented, and experienced. At...

Empire AI is a New York state initiative focused on building advanced computing infrastructure for artificial intelligence. One of its...