Prompt: Based on the input of physical cluster information and model structure, the spatial modeling of load segmentation optimization is carried out, and the optimized segmentation deployment strategy is searched through multiple iterations of policy generation, policy application and performance simulation
Prompt: Efficient Resource Allocation using Participatory Geographic Information Systems . Showing various different resources allocated on different parts in a map.
Prompt: Imagine an intricate digital tapestry displayed on a computer screen, illustrating the nuanced process of randomization. At the forefront, a dynamic flowchart unfolds, showcasing a sequence of logical steps. The tapestry commences with the random generator delving into the parameters of the level's general and ambient environment, symbolized by nodes representing environmental factors. As the generator navigates through subsequent nodes, it distinguishes common occurrences, depicted by vibrant pathways, from less frequent actions illustrated by narrower trails. Anomalies, representing rare outcomes, emerge as ethereal bursts of color, emphasizing their scarcity. The tapestry not only visually encapsulates the meticulous structure but also conveys a sense of purpose and meaning behind the randomness, turning a seemingly chaotic process into an artful and purposeful creation.
Prompt: Initial Node Extraction: Use GPT-4 with one-shot prompting to extract nodes from user scenarios. Iterative Refinement: Collaboratively refine nodes through user feedback, ensuring alignment with the specific scenario. Node Categorization: Employ GPT-4's advanced NLP to classify nodes into categories like Event, Opportunity, Trigger, etc., for structured network topology.
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: Regularly assess the generated artworks for biases and fine-tune the model based on feedback. Implement ongoing monitoring to detect and correct biases as they emerge.
Prompt: The visuals evoke a sense of stretching the image. 3D screen interface, Deep blue data visualization, Dynamic 3D data display, Richly detailed information graphics, Immersive 3D data experience, Data-rich holographic screens, Deep blue knowledge projection, Comprehensive 3D data representation, Blue-hued interactive data screens, Information depth in 3D, Detailed data visualization on 3D screens, Interactive 3D information landscapes, Earth-centric 3D data models, Deep blue 3D data architecture, Celestial data insights on 3D screens, Advanced 3D data exploration, Blue spectrum 3D information retrieval, Enriched data presentation in 3D, Infinite depth 3D data ecosystem, Cutting-edge 3D knowledge display.
Prompt: A vertical illustration, in the middle of the picture is a round table, the table is full of Chinese dishes, the family is very happy around the round table, a dragon is on the table, there is a cartoon IP man sitting on the head looking at the table, black and white line draft
Style: Anime
Prompt: Picture representing Optimal control of nonlinear hyperbolic systems on networks: gradient-based and deep Learning approaches
Prompt: Picture representing Optimal control of nonlinear hyperbolic systems on networks: gradient-based and deep Learning approaches
Prompt: The study employed a randomized controlled design with a sample size of 200 participants. Results were analyzed using multivariate regression analysis, revealing a statistically significant relationship between the independent and dependent variables. Findings are discussed in detail in the subsequent sections
Prompt: illustration on the aim of RayTracing, convert 3D environnemnts into 2D image, we see the camera pointing at 3D scene and the result of the render
Prompt: BMS can monitor and collect the status parameters of energy storage batteries in real time (including single cell voltage, battery pole temperature, battery loop current, battery pack terminal voltage, battery system insulation resistance, etc.), and perform necessary analysis and calculation of relevant status parameters. , obtain more system status evaluation parameters, and achieve effective management and control of the energy storage battery body according to specific protection control strategies to ensure the safe and reliable operation of the entire battery energy storage unit.
Prompt: Develop an 2D asset of an abstract or symbolic representation 'concept' stable diffusion. 'The asset should be suitable to integrate into a simulation environment or a unit game. clear and attractive.
Prompt: Performance investigation of medical imaging assessment and diagnosis using machine learning and deep learning techniques
Prompt: The screens display dense streams of data, some showing real-time car assembly status, some presenting production line efficiency charts, and others taking turns to display 3D scanning images and performance parameters of each vehicle to ensure that every part is manufactured to the highest standard.
Prompt: The screens display dense streams of data, some showing real-time car assembly status, some presenting production line efficiency charts, and others taking turns to display 3D scanning images and performance parameters of each vehicle to ensure that every part is manufactured to the highest standard.
Prompt: illustration of the aim of RayTracing : convert 3D environnemnts into 2D image, we see the camera pointing at 3D scene and the result of the render on a display
Prompt: Evaluation and comparision of materials and methods used in 3D printing for housing construction by analyzing their evolution, properties, and environmental impact.
Prompt: Generate an image that vividly conveys the concept of thermal vision. Illustrate humanoid shapes positioned behind objects and walls, with their presence highlighted through the application of thermal vision technology. Emphasize the distinct visual representation of heat signatures to create a captivating and futuristic depiction of this advanced imaging technique.
Prompt: Adopting green, intelligent, and innovative design concepts, we aim to create a cloud computing and big data base that is energy-efficient, environmentally friendly, automated, and digitized, showcasing the charm of industrial design.Integrating the regional characteristics and cultural connotations of Sichuan, reflecting the spirit of openness, inclusiveness, innovation and progress, and harmonious coexistence in Sichuan, and inheriting the heritage of industrial culture.Connect to the cloud and open up the future!
Prompt: Train a Stable Diffusion model to generate a 360-degree animation of a custom character from images captured at different angles. Use a dataset of character images shot from various views. Specify the views (front, back, side, etc.) for which you want to generate animations, and define the desired animation style (e.g., smooth transitions or specific artistic effects). You can adjust the parameters such as animation speed, angle intervals, and background settings to match your creative vision. Ensure that the generated animations are seamless and visually appealing from all angles. Experiment with different hyperparameters to achieve the desired results and provide a diverse set of animations for a full 360-degree view
Prompt: Data repositories, knowledge graph, semantic indexing, blue data visualization, information architecture, comprehensive datasets, deep learning analytics, cognitive computing, domain-specific insights, ontology mapping, structured knowledge, interconnected data nodes, blue-themed data mining, in-depth data curation, contextual data representation, graph-based knowledge storage, comprehensive data catalog, blue spectrum information retrieval, robust data ecosystem, knowledge enrichment.
Prompt: Data repositories, knowledge graph, semantic indexing, blue data visualization, information architecture, comprehensive datasets, deep learning analytics, cognitive computing, domain-specific insights, ontology mapping, structured knowledge, interconnected data nodes, blue-themed data mining, in-depth data curation, contextual data representation, graph-based knowledge storage, comprehensive data catalog, blue spectrum information retrieval, robust data ecosystem, knowledge enrichment.
Prompt: Data repositories, knowledge graph, semantic indexing, blue data visualization, information architecture, comprehensive datasets, deep learning analytics, cognitive computing, domain-specific insights, ontology mapping, structured knowledge, interconnected data nodes, blue-themed data mining, in-depth data curation, contextual data representation, graph-based knowledge storage, comprehensive data catalog, blue spectrum information retrieval, robust data ecosystem, knowledge enrichment.
Prompt: In this digital realm, the player is immersed, surrounded by the infinite possibilities of spontaneous and coincidental situations, emphasizing the concept of a flexible narrative structure. The futuristic aesthetic, with its vibrant colors and advanced technology, mirrors the cutting-edge approach to storytelling, encouraging the organic emergence of moments within the intricacies of the virtual universe.
Prompt: https://cdn.discordapp.com/attachments/1100170312106127410/1192450992747331685/Imagine_a_dynamic_and_vibrant_network_diagram_representing_the_various_stakeholders_involved_in_the_services_offered_b_style-Photographic_width-1152_height-896_aspect-4-3_seed-0ts-1704372870_idx-0.png?ex=65a91f87\u0026is=6596aa87\u0026hm=f52d4c4b7ce8298dc8122b2d42d265ae8f1d9b38b214d9ed71bb4f83aac9dce3\u0026 Remove all text from this image and make it even more high quality, improving it overall
Negative: nsfw, not safe for work, nudity, low quality, long body, elongated body, blurry, faded, bad focus, raster graphics, profile, bad graphics, bad render, low pixel density, unsharp image, unsharp details, cut-off limbs, ugly hands, deformed hands, deformed arms, deformed legs, twisted fingers, malformed fingers, mutated fingers, deformed fingers, bad proportions, extra limbs, extra limb, poorly drawn, gross proportions, mutation, mutated limbs, text, signature, title, watermark, poster, cover, big nose, double body, multiple people, two people, multiple heads, 3 arms, 4 arms, out of frame, cropped, cartoonish, smooth, texts, words, numbers, letters, signatures, watermarks, canvas, frames, extra fingers, text
Style: 3D Model
Prompt: Molecular reaction 3D schematic model; A small number of randomly discharged sheet-like six-membered rings; The Spaces between rings are filled with colloidal substances rather than molecular bonds
Prompt: Balanced Training Data: Include a balanced representation of genders in the training dataset to avoid reinforcing gender stereotypes
