Food security is fundamentally about the ongoing availability of food. It’s a global issue yet one that disproportionally affects China as its population urbanises, food-supply chains remain under-regulated and it’s economy transitions to consumer-led growth.
This PowerPoint was created in tandem with my June 2014 oral presentation on China's food security. You can find a transcript of that speech (Chinese language) here:
http://www.tylergleason.io/china_food_security/
AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017Carol Smith
What is machine learning? Is UX relevant in the age of artificial intelligence (AI)? How can I take advantage of cognitive computing? Get answers to these questions and learn about the implications for your work in this session. Carol will help you understand at a basic level how these systems are built and what is required to get insights from them. Carol will present examples of how machine learning is already being used and explore the ethical challenges inherent in creating AI. You will walk away with an awareness of the weaknesses of AI and the knowledge of how these systems work.
Food security is fundamentally about the ongoing availability of food. It’s a global issue yet one that disproportionally affects China as its population urbanises, food-supply chains remain under-regulated and it’s economy transitions to consumer-led growth.
This PowerPoint was created in tandem with my June 2014 oral presentation on China's food security. You can find a transcript of that speech (Chinese language) here:
http://www.tylergleason.io/china_food_security/
AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017Carol Smith
What is machine learning? Is UX relevant in the age of artificial intelligence (AI)? How can I take advantage of cognitive computing? Get answers to these questions and learn about the implications for your work in this session. Carol will help you understand at a basic level how these systems are built and what is required to get insights from them. Carol will present examples of how machine learning is already being used and explore the ethical challenges inherent in creating AI. You will walk away with an awareness of the weaknesses of AI and the knowledge of how these systems work.