Fei-Fei Li’s presentation at the AI Journey was an insightful dive into the history and evolution of AI and its profound impact on the fields of IXD and beyond.

One of the most striking AI history for me is “the field of AI and machine learning found its language and that language through statistics, through machine learning start to crack individual fields like natural language programming, computer vision, speech recognition and researcher start working theses fields in pretty deep ways.” Fei-Fei Li share this revolution of AI reminded me of how machine learning’s influence is broad, touching various fields that are central to creating intuitive and intelligent user experiences. I believe integrate AI into ixd designs that anticipate user needs, making interfaces smarter and more responsive.

Another key learning was “3 fundamental elements of modern AI converge for the first time. That was namely neuron network – this is why Tom was quizzing you on back propagation that was the mathematical underlying mathematics of neuron network. So the first one is neuron network. The second one is big data using image net. The third element is GPU Computing and at that time it was two GPUS.” This is the first time I heard the 3 fundamental elements of modern AI converge, they came together with vast datasets. This combination allowed machines to learn faster and more accurately than ever before. In this case, I realize how important the vast data when building complex systems. Which also makes me think about ixd design. Such as mind map, Behavior over Time diagram,Concept Model diagram, Causal Loop diagram, Connection Circle Diagram and etc all create base on data and information. Thus, AI could help ixd designer find the reliable resource faster. AI recommend accurate article very soon.