
At a young age, artificial intelligence often feels like a distant, futuristic concept. When I was first introduced to AI, it was not as visible or widely used as it is today. I imagined it as something built by experts in advanced laboratories or discussed in research papers filled with complex equations. It was fascinating, but also felt unreachable because I hadn’t yet adopted an AI research mindset. Over time, I learnt that AI research is not about having all the answers. It is about learning how to explore problems deeply, it is about AI research mindset. In fact, AI research does not begin with advanced degrees or perfect solutions. It begins much earlier, with curiosity, experimentation, and the willingness to investigate how and why systems behave the way they do. https://entechonline.com/ai-research-mindset-thinking-like-ai-researcher/
AI Research Mindset
AI Research Mindset
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
