Computer Vision
The field of AI that enables machines to interpret and understand visual information from images and videos, powering applications from facial recognition to autonomous driving.
Computer vision has progressed rapidly since the 2012 ImageNet breakthrough, when AlexNet reduced image classification error rates by 40%. The global computer vision market is projected to exceed $25 billion by 2027. Key applications include autonomous vehicles (processing 1+ TB of sensor data per hour), medical imaging (detecting cancer with 94%+ accuracy in some studies), and manufacturing quality control. Vision transformers (ViTs) have largely replaced CNNs as the state-of-the-art architecture.
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Related Terms
Artificial General Intelligence (AGI)
A hypothetical form of AI that can understand, learn, and apply knowledge across any intellectual task at or above human level, rather than being specialized for specific tasks.
AI Alignment
The research field focused on ensuring AI systems behave in accordance with human values and intentions, particularly as systems become more capable.
ChatGPT
OpenAI's conversational AI assistant, launched in November 2022, which catalyzed the current generative AI boom by demonstrating the capabilities of large language models to a mainstream audience.
Enterprise AI Adoption
The rate at which businesses integrate AI technologies into their operations, measured across functions like customer service, software development, marketing, and supply chain management.
Fine-Tuning
The process of further training a pre-trained AI model on a specific, smaller dataset to specialize it for a particular task or domain, requiring far less compute than training from scratch.
Foundation Model
A large AI model trained on broad data that can be adapted to a wide range of downstream tasks — examples include GPT-4, Claude, Gemini, and Llama.
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