Abstract: A server system can receive an input identifying a problem to generate a solution using a machine-learning application. The method selects a machine-learning model template from a plurality of templates based at least in part on the input. The method analyzes one or more formats of the customer data to generate a customer data schema based at least in part a data ontology that applies to the identified problem. The method determines whether the customer data schema is misaligned with one or more key features of the selected machine-learning model template. Based on this determination, the method analyzes the metadata for the selected machine-learning model template to determine what additional information is required to re-align the customer data with the data expectations. The method can include gathering the addition information required to re-align the customer data with the data expectations of the selected machine-learning model template.

Abstract: The present disclosure relates to systems and methods for an intelligent assistant (e.g., a chatbot) that can be used to enable a user to generate a machine learning system. Techniques can be used to automatically generate a machine learning system to assist a user. In some cases, the user may not be a software developer and may have little or no experience in either machine learning techniques or software programming. In some embodiments, a user can interact with an intelligent assistant. The interaction can be aural, textual, or through a graphical user interface. The chatbot can translate natural language inputs into a structural representation of a machine learning solution using an ontology. In this way, a user can work with artificial intelligence without being a data scientist to develop, train, refine, and compile machine learning models as stand-alone executable code.

Abstract: A system and method for providing for display of a message within a social networking website are provided. A message is received and a content type is determined by one of: an identification of the content type by a selection of a sender of the message of either an original content type including original content generated by the sender or generated by a personal contact of the sender or a non-original content type including reproduced content not generated by the sender or not generated by any personal contact of the sender; or an automatic identification of content of the message, the content type identifying the message as original or non-original. The content type is associated with the message and differentiated display of the message is provided based on whether the associated content type identifies the message as original or non-original.

Abstract: A portable multi-sensor device includes a substantially sheet-like and at least partially flexible unit support element, a garment to be worn by a user and to be removably associated with the support element, a plurality of sensors, adapted to detect biological and/or vital parameters on the body of a user and transduce them into electric signals, at least one of which is incorporated in the unit support element, a transceiver for remote transmission of the electric signals to a remote monitoring center, a processing and control unit for processing and controlling the electric signals, therapeutic treatment elements associated with the unit support element and designed to contact one part of the wearer's body. The therapeutic treatment elements are electrically connected to the processing and control unit to be controlled thereby and to provide therapeutic and/or thermal therapeutic treatment to an area of the body.