Turing
Computing Machinery and Intelligence frames machine intelligence as a question of behavior and interpretation. Source.
This timeline gives enough history to situate the tools without turning the boot camp into an architecture lecture.
Computing Machinery and Intelligence frames machine intelligence as a question of behavior and interpretation. Source.
An early neural network becomes a landmark in machine-learning history. Source.
Deep learning changes computer vision practice at public scale. Source.
Goodfellow et al. introduce GANs, a major neural generation approach. Source.
Sohl-Dickstein et al. establish key diffusion-model foundations later used in image generation. Source.
The transformer architecture becomes the foundation for much later generative AI. Source.
Large-scale autoregressive language modeling becomes a public AI milestone. Source.
DALL-E 2, Stable Diffusion, and Midjourney bring generated imagery into mainstream culture. Source.
Jason Allen wins a fine-art prize with AI-generated work, triggering authorship debate. Source.
NYT v. OpenAI and Getty v. Stability AI move training-data questions into court. Source.
Sora and Runway-era systems make generated video a general media issue. Source.
Students increasingly encounter AI systems that combine media, tools, and workflow actions. Source.