From idea to adoption and back: How to take startups from 0 to 1 | Maggie Chen | TEDxUofTSalon
This talk is about the of going from zero to one, or the journey of taking an idea and finding that first customer or user. It provides a framework for innovation, covering the essential steps to close this gap. The key is not necessarily about flawless the execution of each step, instead, it’s about how many times you can complete that loop. While the discussion is grounded in research, the takeaways may be relevant to anyone working to bring new ideas into practice. Maggie Chen is a PhD student at the Institute of Medical Science, University of Toronto, and a kinesiologist in the Department of Anesthesia and Pain Management at the University Health Network. Her work focuses on interventions to prepare and support patients before and after surgery. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx
More from TED
- 7:07Building a business at young age with AI | Kareem Farrag | TEDxBISM YouthKareem explains how at the age of 13 anyone can start their own business with the help of AI Kareem is a 13 years old student who has started his 3D printing business in school and expanded to reach to more than 1000 customers in less than one year with the support of AI. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx
- 10:40The Future We Build With AI | KASHIKA JAIN | TEDxShiva Shiksha Sadan YouthThis talk explores how Artificial Intelligence (AI) mirrors the human journey of learning, failure, and growth. It introduces key branches of AI — Computer Vision, Natural Language Processing, Reinforcement Learning, and Generative AI — showing how machines learn to see, understand, adapt, and create. The session shares insights from Deep Reinforcement Learning, drawing parallels between how machines and humans learn through trial and error. It highlights transformers and their focus on attention as a metaphor for personal growth, and how NLP helps bridge understanding between humans and technology. Emphasizing ethics and responsibility, the talk underscores that AI is meant to amplify human potential, not replace it. Finally, it offers a glimpse into Quantum AI, exploring how it can unlock new frontiers in science and innovation through parallel learning and limitless possibilities. I am Kashika Jain, a B.Tech student in Computer Science (Data Science) at Amity University, Noida. I have interned at C-DAC, where I developed Transformer models for phonetic analysis of Indian languages, and at Arcturus Business Solutions, applying YOLOv8 and fine-tuned LLMs for defect detection and NLP solutions. My projects span AI frameworks for Alzheimer’s prognosis, financial market prediction, and an AI-powered financial advisory system. I have also published research in IEEE and Springer, focusing on translating AI innovations into real-world applications. Driven by a passion for leveraging AI to solve complex problems, I aim to create impactful solutions that bridge cutting-edge research and practical implementation. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx
