Abstract: An application for optimizing advertisements in a tiered software framework is disclosed. The application may receive a request to optimize an advertisement. The application may predict an engagement rate of the advertisement and encode in a latent space using a machine model, an embedding from the advertisement, the latent space comprising embeddings encoded from previously published advertisements having corresponding actual engagement rates. The application may identify clusters in the latent space. The application may iteratively derive an optimized embedding based on purposeful movements in the latent space towards selected ones of the clusters, the purposeful movements being based at least on respective distances of the selected clusters from a candidate embedding derived in a preceding iteration. The application may generate a final advertisement from the optimized embedding, and publish it suitably.

Abstract: The present disclosure is directed to apparatus and method for more efficiently and effectively refining alum process residue into commercially useable compounds. Materials that contain aluminum or aluminum oxide are provided to a vessel where a chemical rection is controlled when a product is made. Materials that include aluminum can be provided to the vessel and acid can also be provided to the vessel to initiate a chemical reaction. Masses of respective materials provided to the vessel can be controlled according to a regimen for making a product. Temperatures of the vessel can be monitored and controlled while the reaction occurs. Activated carbon may be added to the vessel to help the product performance and stability. Once the product is formed, it is output from the vessel and cooled. The product can be subsequently processed using techniques such as grinding and screening when a final product is prepared.

Abstract: Embodiments of a method for operating a customized chatbot using artificial intelligence is disclosed, the method comprising: receiving a message via one of a plurality of channels, each channel being communicatively coupled to one or more applications executing in one or more computing devices; identifying a meaning of the message using at least one natural language processing algorithm; retrieving information from a knowledge base, the information being relevant to the identified meaning and comprising attributes of a plurality of intents; generating, using at least one machine learning model, a response recommending an action to fulfill one in the plurality of intents, the at least one machine learning model using the information retrieved from the knowledge base to derive the recommended action; displaying the response in a user interface; and performing the recommended action.