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As we close out 2025 and look ahead, it’s clear this was a year where AI and technology stopped being “the future” and started becoming the present. What once felt experimental became operational, embedded, and unavoidable - reshaping how leaders think, decide, and build. Below is our curated look at the breakthroughs that actually mattered this year—not just because they were impressive, but because they changed expectations for what’s possible in 2026 and beyond. The 10 tec

Something remarkable is happening in the world of technology. At a recent XR Summit in the Bay Area co-hosted by Vinnova (the Swedish Innovation Fund) and Ericsson, industry leaders from tech giants like Nvidia and Qualcomm gathered to share their vision of the future. Their message was clear: the convergence of Extended Reality (XR) and artificial intelligence isn't just changing how we interact with digital content – it's redefining what's possible. As these companies push

Artificial Intelligence (AI) has morphed from a technological novelty to a transformative force. Here is the latest you need to know.

There are few instances where AI and the human psyche converge in shared experiences. One such fascinating example is hallucinations — a phenomenon experienced by both humans and, as we will come to understand, generative artificial intelligence (AI). AI can hallucinate, albeit in a way that differs from human hallucinations. Hallucinations in Artificial Intelligence: When AI Starts 'Seeing' Things Hallucinations, real experiences without any basis in reality, can affect all

As the world of artificial intelligence (AI) continues to evolve at a lightning pace, one innovation that stands at the forefront is the development of Large Language Models (LLMs). With capabilities in understanding, generating, and translating human language, LLMs have shown potential in reshaping numerous industries. This article aims to provide a comprehensive understanding of LLMs, how they function, their application across multiple corporations, and the use cases they

Generative AI tools can greatly help with your daily work, but you still need honest feedback from humans to perform your best.