Difference between revisions of "DT's page for Kahn Food project"
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=Short Presentation for Kahn= | =Short Presentation for Kahn= | ||
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| − | + | * NN + ML = branch of AI | |
| + | * Huge progress at exponential rate | ||
| + | * Example: [https://www.sciencealert.com/it-took-4-hours-google-s-ai-world-s-best-chess-player-deepmind-alphazero In Just 4 Hours, Google's AI Mastered All The Chess Knowledge in History]. AlphaZero. | ||
| + | <blockquote> | ||
| + | In a series of 100 games against Stockfish, AlphaZero won 25 games while playing as white (with first mover advantage), and picked up three games playing as black. The rest of the contests were draws, with Stockfish recording no wins and AlphaZero no losses. | ||
| + | </blockquote> | ||
| + | * ML applied to many different areas: chess, self-driving cars. Why not look at how it's been applied to food. | ||
| + | * Areas where ML is being applied to food | ||
| + | ::* Classifiation | ||
| + | ::::* Beer classification (12 parameters) | ||
| + | ::::* Classifying products as drugs or non-drugs | ||
| + | ::::* Classification of different types of honey | ||
| + | ::::* Classification of cereal grains acording to morphological features | ||
| + | ::* Recipes | ||
| + | ::::* MIT AI Recommends a recipe based on a photo of food | ||
| + | ::::* IBM Watson (winner of Jeopardy) learns all recipes from Bon Appetit and generates new recipes | ||
| + | <br /> | ||
| + | Interested in exploring, and cataloguing the different areas where ML has been applied to food. | ||
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=Good History of AI/NN= | =Good History of AI/NN= | ||
