Prompt: Saying Goodbye to Mean and Zero Imputation in machine learning: Better Ways to Handle Missing Data
Prompt: Describe how ai works in architecture, what role of ai in architecture, how technologies combine with ai in architecture
Prompt: Year:1967. Formal portrait. (hero view:1.5) High detail, Canon EOS DSLR photograph. UHD, 8K resolution, sharp focus, full color, intricately detailed and extremely close up intimate facial portrait of a stylish, age 30 lady in 1967, showcasing her long-length, generously and profusely highlighted light brunette hair. She shyly smiles down at the camera. Her very thick, richly textured hair fills the viewing screen and is delicately styled in a sleek, lofty, very highly voluminous, flared bouffant, with thick full-bodied luxuriant bangs. She wears an evening gown, and has bold, glamorous makeup. Solid, light colored background. Accurate 1967 styling.
Negative: (earrings: 1.6) outdoors, outdoor setting, loose tendrils of hair, jewelry, hair beyond camera view, cropped hair, tiara, orange colors, black and white image, nudity, NSFW,
Style: Photographic
Prompt: To harness the power of artificial intelligence (AI) in generating an architectural diagram, one must first comprehend the essence of AI and technology. AI refers to the simulation of human intelligence in machines, enabling them to analyze data, learn from patterns, and make informed decisions. Technology, on the other hand, encompasses the tools and processes that facilitate the application of scientific knowledge for practical purposes. Combining AI and technology in the realm of architecture produces an innovative fusion—AI art buildings. This entails leveraging AI algorithms to envision and craft architectural designs, infusing structures with a harmonious blend of computational precision and creative ingenuity. Through this symbiosis, architects can unlock novel possibilities, allowing for the creation of visually captivating and conceptually advanced architectural diagrams that push the boundaries of traditional design methodologies.
Prompt: Performance investigation of medical imaging assessment and diagnosis using machine learning and deep learning techniques
Prompt: To prevent reinforcing gender preconceptions, make sure the training dataset has a fair representation of genders.
Prompt: fractal multiverse spiral surreal beautiful waves bioluminescent surf surfers surfing the bioluminescent clear water hd 32k 3d amazing
Negative: blurry
Style: 3D Model
