International Business Machines Corporation

Saikat Mukhopadhyay

Mukundan Sundararajan

Anshul Sheopuri

Priyanka Agrawal

Nandakishore Kambhatla

Sanjay B Panikkar

Sanmitra Sarkar

Priyanka Dasgupta

Aditya Telang

Nickle Lamoreaux

Binny Rieder

Joanna Daly

Pooja Arya

Sujay Nandi

Machine logic (for example, software) are choosing among pre-existing manufacturing processes to make a newly-designed physical piece part, or a piece part that reflects a modified design with respect to an earlier design. In some embodiments, the manufacturing process includes an additive manufacturing (AM) process. In some embodiments, the manufacturing process involves three dimensional (3D) printing.

Determining optimal of additive manufacturing and/or three dimensional printing processes

A battery is subjected to ultrasound waves, and resulting re-emitted ultrasound waves are recorded. Based upon how the waves are distorted or reflected, a state of pores within the battery can be evaluated. This evaluation can be used to verify a rating of the battery included in received data regarding the battery.

Evaluating and exchanging batteries

Various embodiments are provided for implementing intelligent decision support system in a computing environment by a processor. Data of historical decisions may be collected and examples of decisions by domain experts may be generated. One or more machine learning models may be generated using different splits of the historical data and the annotated data. The one or more machine learning models may be combined and used to generate ensemble machine learning models that generate recommendations for the decisions. Users interact with a user interface displaying the data, recommendations, reasons for recommendations and a conversational dialog system for querying about the data, recommendations and guidance for decision making.

Intelligent decision support system

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Kolkata, India

Saikat Mukhopadhyay