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I first heard of the contextual bandit algorithm a couple of years back as an undergrad. I never gave much thought to it. Recently, I started working on reinforcement learning for the thrill of picking up my HRI research again and shaking off the dus...
Assurance Packs for AI Systems
The issue and ethical conundrum with equality of outcome is that those who advocate for this ideal want everyone to end up on the same level, hence the advocacy for equal redistribution of results, regardless of merit, effort, or individual differenc...
One of the interesting research projects I collaborated on with colleagues in China last year was using vision to predict the tendency of developing Alzheimer’s disease. We used images from diverse clinical datasets, which gave us a base and provided...
I know the hype is all around LLMs right now, but deep learning for computer vision continues to drive advancements in AI too – from your smartphone to applications at airports. Perhaps you would like to learn how to build yours. This past summer, I ...
From June 2023 to January 2024, our team at the Centre for Intelligent Autonomous Manufacturing Systems, Queen’s University Belfast, conducted an extensive data collection project aimed at advancing human intention inference. Our goal was to validate...
During the first two years of my undergraduate years, I never really understood computational complexities, even after learning about it in my Data Structures and Algorithms class in the second year, it remained a foggy concept. Maybe that’s why I en...
In the current age of technology, there is a silent pandemic brewing, one not of biological origin, but of digital dependency. The usefulness of smartphones has woven them into our daily life, rendering them indispensable to the current generation. H...
If you would like to dive right into the code please see here In the ever-evolving landscape of computer vision, the transition from static imagery to the dynamic world of videos marks a significant leap to understanding the dynamicity of our world. ...
