Photos, videos, apps, and music—your computer stores them all using nothing more than 0s and 1s. Curious how that’s possible? This video explains the magic behind computer memory in a clear and simple understanding.
Blockchain’s decentralized, immutable, and consensus-driven architecture makes it highly suitable for use cases that demand transparency and traceability. This article by PWC offers a comprehensive perspective on how blockchain technology can enhance and transform various aspects of the aviation industry.
Interested in learning about blockchain but not sure where to start?
This beginner-friendly YouTube video provides a clear and easy-to-understand introduction to blockchain technology, covering key concepts such as decentralization, distributed ledgers, and its use cases.
With the rise of AI, it is only natural for a dedicated AI stack to emerge. The article from IBM deeps dive into the core layers that make up this AI stack.
If you’re interested in space technology, especially rocket launches, check out this site—it keeps track of upcoming space flights.
How much power do AI data centers really consume? In reviewing several sources, I found the article below particularly insightful because it compares the power requirements of conventional CPU-based data centers with those of GPU-based facilities designed for AI computing.
If you’re interested in learning about internet protocols, this video is a great resource. Although it was published four years ago, it still provides a solid foundation for understanding the core concepts.
We’ve been hearing a lot about quantum computing recently, and I came across the YouTube video that gives a solid overview of the technology.
AI has been the buzzword for the past five years, at least from what we’ve seen. In the early days, both the industry and the public were excited about its potential. But as time went on, enterprises began investing heavily in AI for one obvious reason – reduce their biggest operating cost: employees.
It’s not just the corporations either. Governments everywhere are racing to become the “first AI nation”, which sounds impressive on paper, especially for those who stand to gain the most – the big IT corporations driving the ecosystem.
Naturally, people working in the industry are anxious, wondering whether they will become the next casualty of this new corporate vision built around AI-driven efficiency.
This gives a sense of dejavu, as many of us – especially Gen X and baby boomers – have already lived through several waves of technological change throughout our careers. Each wave transformed the way we worked and ultimately benefitted businesses, customers, and society through faster access to information and real-time data.
But AI feels different.
While it undeniably helps enterprises achieve things faster and more efficiently, it is also gradually replacing a wide range of IT roles, from frontend development to backend operations.
Unlike previous technologies that mainly changed workflows, AI is beginning to reshape the value of human knowledge work itself – and that is why so many people in the industry feel both impressed and deeply uneasy at the same time.