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| <h1 class="text-2xl font-bold">AI Evolution Tracker</h1> | |
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| <div class="mt-8 text-center"> | |
| <h2 class="text-4xl font-bold mb-4">Journey Through AI's Evolution</h2> | |
| <p class="text-xl max-w-3xl mx-auto">Explore the milestones that shaped artificial intelligence from its theoretical foundations to today's cutting-edge breakthroughs.</p> | |
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| <option value="theory">Theory</option> | |
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| <option value="application">Application</option> | |
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| <!-- Latest Research Section --> | |
| <section class="mt-16"> | |
| <h2 class="text-3xl font-bold mb-6 flex items-center"> | |
| <i class="fas fa-flask mr-3 text-blue-600"></i> Latest Research (2023-2024) | |
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| <div class="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-3 gap-6"> | |
| <!-- Research cards will be dynamically inserted here --> | |
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| <h2 class="text-2xl font-bold mb-2">Stay Updated on AI Advancements</h2> | |
| <p class="text-gray-600 mb-6">Get weekly updates on the latest AI research and breakthroughs</p> | |
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| <h3 class="text-xl font-bold mb-4">AI Evolution Tracker</h3> | |
| <p class="text-gray-400">Tracking the journey of artificial intelligence from inception to innovation.</p> | |
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| <h4 class="font-bold mb-4">Explore</h4> | |
| <ul class="space-y-2"> | |
| <li><a href="#" class="text-gray-400 hover:text-white transition">Timeline</a></li> | |
| <li><a href="#" class="text-gray-400 hover:text-white transition">Research Papers</a></li> | |
| <li><a href="#" class="text-gray-400 hover:text-white transition">Key Figures</a></li> | |
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| <li><a href="#" class="text-gray-400 hover:text-white transition">Glossary</a></li> | |
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| <p>© 2023 AI Evolution Tracker. All rights reserved.</p> | |
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| <script> | |
| // AI Milestones Data | |
| const milestones = [ | |
| { | |
| year: 1950, | |
| title: "Turing Test Proposed", | |
| description: "Alan Turing publishes 'Computing Machinery and Intelligence' introducing the Turing Test as a measure of machine intelligence.", | |
| category: "theory", | |
| icon: "fa-brain" | |
| }, | |
| { | |
| year: 1956, | |
| title: "Dartmouth Conference", | |
| description: "The term 'Artificial Intelligence' is coined at the Dartmouth Summer Research Project, marking the birth of AI as a field.", | |
| category: "theory", | |
| icon: "fa-users" | |
| }, | |
| { | |
| year: 1966, | |
| title: "ELIZA Created", | |
| description: "Joseph Weizenbaum develops ELIZA, one of the first natural language processing programs that could simulate conversation.", | |
| category: "software", | |
| icon: "fa-comments" | |
| }, | |
| { | |
| year: 1972, | |
| title: "First Intelligent Robot", | |
| description: "Stanford Research Institute builds Shakey, the first mobile robot with the ability to perceive and reason about its surroundings.", | |
| category: "hardware", | |
| icon: "fa-robot" | |
| }, | |
| { | |
| year: 1980, | |
| title: "Expert Systems Boom", | |
| description: "Commercialization of expert systems begins, with applications in medicine, chemistry, and other fields.", | |
| category: "application", | |
| icon: "fa-microscope" | |
| }, | |
| { | |
| year: 1986, | |
| title: "Backpropagation Rediscovered", | |
| description: "Rumelhart, Hinton, and Williams popularize backpropagation for training neural networks, reviving interest in connectionism.", | |
| category: "theory", | |
| icon: "fa-project-diagram" | |
| }, | |
| { | |
| year: 1997, | |
| title: "Deep Blue Defeats Kasparov", | |
| description: "IBM's Deep Blue becomes the first computer to defeat a reigning world chess champion under standard chess tournament time controls.", | |
| category: "application", | |
| icon: "fa-chess" | |
| }, | |
| { | |
| year: 2011, | |
| title: "IBM Watson Wins Jeopardy!", | |
| description: "Watson defeats former Jeopardy! champions Brad Rutter and Ken Jennings in a two-game match.", | |
| category: "application", | |
| icon: "fa-trophy" | |
| }, | |
| { | |
| year: 2012, | |
| title: "AlexNet Revolution", | |
| description: "AlexNet significantly outperforms all other competitors in the ImageNet competition, sparking the deep learning revolution.", | |
| category: "software", | |
| icon: "fa-image" | |
| }, | |
| { | |
| year: 2016, | |
| title: "AlphaGo Defeats Lee Sedol", | |
| description: "Google DeepMind's AlphaGo defeats world champion Lee Sedol in the complex board game Go, a major milestone for AI.", | |
| category: "application", | |
| icon: "fa-gamepad" | |
| }, | |
| { | |
| year: 2020, | |
| title: "GPT-3 Released", | |
| description: "OpenAI releases GPT-3, a 175 billion parameter language model that demonstrates remarkable few-shot learning capabilities.", | |
| category: "software", | |
| icon: "fa-language" | |
| }, | |
| { | |
| year: 2022, | |
| title: "DALL-E 2 & Stable Diffusion", | |
| description: "Text-to-image models like DALL-E 2 and Stable Diffusion demonstrate AI's creative potential in generating high-quality images from text prompts.", | |
| category: "software", | |
| icon: "fa-paint-brush" | |
| }, | |
| { | |
| year: 2023, | |
| title: "GPT-4 & Multimodal AI", | |
| description: "The release of GPT-4 and other multimodal models that can process both text and images, pushing the boundaries of general AI capabilities.", | |
| category: "software", | |
| icon: "fa-eye" | |
| } | |
| ]; | |
| // Latest Research Data | |
| const latestResearch = [ | |
| { | |
| title: "Gemini: Google's Multimodal Model", | |
| summary: "Google's latest AI model that can seamlessly understand and operate across text, images, audio, and video.", | |
| date: "Dec 2023", | |
| link: "#" | |
| }, | |
| { | |
| title: "AI for Scientific Discovery", | |
| summary: "Breakthroughs in using AI to accelerate scientific research, from drug discovery to materials science.", | |
| date: "Nov 2023", | |
| link: "#" | |
| }, | |
| { | |
| title: "Autonomous Agent Frameworks", | |
| summary: "New architectures for creating AI agents that can autonomously perform complex tasks with minimal human intervention.", | |
| date: "Oct 2023", | |
| link: "#" | |
| }, | |
| { | |
| title: "AI Safety Research", | |
| summary: "Advances in aligning AI systems with human values and ensuring their safe deployment.", | |
| date: "Sep 2023", | |
| link: "#" | |
| }, | |
| { | |
| title: "Efficient LLM Training", | |
| summary: "Techniques to reduce the computational cost of training large language models while maintaining performance.", | |
| date: "Aug 2023", | |
| link: "#" | |
| }, | |
| { | |
| title: "Neural Rendering Advances", | |
| summary: "Improved methods for generating photorealistic 3D scenes from 2D images using neural networks.", | |
| date: "Jul 2023", | |
| link: "#" | |
| } | |
| ]; | |
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| // Render the timeline | |
| function renderTimeline(filteredMilestones = milestones) { | |
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| filteredMilestones.forEach((milestone, index) => { | |
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| <div class="bg-white p-6 rounded-xl shadow-md card-hover transition-all duration-300"> | |
| <div class="flex items-center mb-2"> | |
| <i class="fas ${milestone.icon} text-blue-600 mr-2"></i> | |
| <span class="inline-block px-2 py-1 text-xs font-semibold rounded-full | |
| ${milestone.category === 'theory' ? 'bg-purple-100 text-purple-800' : | |
| milestone.category === 'hardware' ? 'bg-green-100 text-green-800' : | |
| milestone.category === 'software' ? 'bg-blue-100 text-blue-800' : | |
| 'bg-yellow-100 text-yellow-800'}"> | |
| ${milestone.category.charAt(0).toUpperCase() + milestone.category.slice(1)} | |
| </span> | |
| </div> | |
| <h3 class="text-xl font-bold mb-2">${milestone.title}</h3> | |
| <p class="text-gray-600 mb-3">${milestone.description}</p> | |
| <div class="text-sm font-semibold text-blue-600">${milestone.year}</div> | |
| </div> | |
| `; | |
| container.appendChild(item); | |
| }); | |
| } | |
| // Render latest research | |
| function renderLatestResearch() { | |
| const container = document.querySelector('#timeline-container + section .grid'); | |
| container.innerHTML = ''; | |
| latestResearch.forEach(research => { | |
| const card = document.createElement('div'); | |
| card.className = 'bg-white rounded-xl shadow-md overflow-hidden card-hover transition-all duration-300'; | |
| card.innerHTML = ` | |
| <div class="p-6"> | |
| <div class="flex justify-between items-start mb-2"> | |
| <h3 class="text-lg font-bold">${research.title}</h3> | |
| <span class="text-xs bg-gray-100 px-2 py-1 rounded">${research.date}</span> | |
| </div> | |
| <p class="text-gray-600 text-sm mb-4">${research.summary}</p> | |
| <a href="${research.link}" class="text-blue-600 text-sm font-medium hover:underline">Read more →</a> | |
| </div> | |
| `; | |
| container.appendChild(card); | |
| }); | |
| } | |
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| const decadeFilter = document.getElementById('decade-filter'); | |
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| decadeFilter.addEventListener('change', filterMilestones); | |
| categoryFilter.addEventListener('change', filterMilestones); | |
| } | |
| // Filter milestones based on search and filters | |
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| const searchTerm = document.getElementById('search-input').value.toLowerCase(); | |
| const decade = document.getElementById('decade-filter').value; | |
| const category = document.getElementById('category-filter').value; | |
| const filtered = milestones.filter(milestone => { | |
| // Search term matching | |
| const matchesSearch = searchTerm === '' || | |
| milestone.title.toLowerCase().includes(searchTerm) || | |
| milestone.description.toLowerCase().includes(searchTerm); | |
| // Decade filtering | |
| const matchesDecade = decade === '' || | |
| (milestone.year >= parseInt(decade) && milestone.year < parseInt(decade) + 10); | |
| // Category filtering | |
| const matchesCategory = category === '' || milestone.category === category; | |
| return matchesSearch && matchesDecade && matchesCategory; | |
| }); | |
| renderTimeline(filtered); | |
| } | |
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