Input and Output Sample Clauses
The INPUT AND OUTPUT clause defines the responsibilities and procedures regarding the provision and handling of materials, data, or resources necessary for a contract's performance. It typically specifies what inputs (such as information, equipment, or documents) each party must supply and outlines how outputs (such as deliverables, reports, or finished products) will be delivered, reviewed, or accepted. By clearly delineating these obligations, the clause ensures that both parties understand their roles in the exchange of resources, thereby minimizing misunderstandings and facilitating smooth project execution.
Input and Output. 1.1. You and all your authorized users are responsible for any text, images, or other content you upload or submit to the AI Products (“Input”) as well as the text, images, or other content generated by the AI Products based on your Input (“Output”).
1.2. You will ensure that your use of the AI Products, including Input and Output, complies with our InfuseCX ▇▇▇▇ and applicable law.
1.3. You hereby acknowledge for you and all your authorized users:
1.3.1. Input will not be treated as Confidential Information, therefore, you should not include any data or information in your Input that you’re restricted from using or sharing (for example, third-party confidential information);
1.3.2. Output will not be Confidential Information to the extent that it was generated by the AI Products, however for purposes of its usage by InfuseCX to provide the Subscription Services such as within the application, data storage, and access by InfuseCX platform management employees the Output will be treated as Client Confidential.
1.3.3. As with any third-party AI system, the Output may not be completely accurate or without factual errors. You should independently review all Output before using or sharing it in commercial applications for errors, omissions and/or the use of previously copyrighted content.
1.4. InfuseCX, LLC provides these AI Products taking commercially reasonable precautions to avoid errors, omissions and/or the use of previously copyrighted materials, but is not responsible for compliance or accuracy in either the Input or Output.
Input and Output. The input to the demand prediction model comprises:
1. At the start of operations, historical records of observed demand for all OD pairs
2. At the start of operations, historical records of observed traffic in the network, including realised timings at stations
3. During operations, records of observed demand in terms of tap-in and tap-out locations and times of passengers in real-time
4. During operations, records of observed and predicted traffic plans, including realised and predicted timings at stations Historical data (points 1 and 2) will come from databases collecting information on demand and supply, respectively. The demand data will typically come from an automatic fare collection (AFC), often based on smart cards, in which passengers interact with physical card readers at stations or in vehicles to record the time and location of entering, transferring, or exiting a public transport system or vehicle. The supply data may be recorded in an operations database by an operator or infrastructure manager and must include at least scheduled and realized arrival times of vehicles at all stations in the network of interest. The real-time data (points 3 and 4) are recorded by these same systems as time passes. In a simulation, this will be carried out by the simulator, which must handle both operations of infrastructure, vehicles, and virtual passengers interacting with the transport system. In practice, the AFC system and the operations database will have to be updated almost immediately with the latest recorded data and then release it to the traffic management and the associated prediction module. The output of the prediction model is the estimated OD demand of travellers starting their journey in the current (and possibly near-future) time interval(s). The input to the assignment model comprises:
a. A network-specific set of paths covering all OD pairs, each path consisting of combinations of lines available to connect origin and destination. These lines must correspond to the current traffic service.
b. Specification of network-specific parameters of the statistical arrival distribution, which passengers are expected to follow at origin stations. The arrival distribution is in the form of a mixed Beta and Uniform distribution, corresponding to a mixture of passengers who are aware of the schedule (Beta) and passengers who are unaware (Uniform). Thus, the parameters must contain at least the mixture parameter (proportion of aware to unaware passeng...
Input and Output