Events | Department of CSE

Workshop on “Big Data and Deep Learning”

Department of Computer Science and Engineering organized a workshop on “Big Data and Deep Learning” from April 7, 2018 to April 8, 2018 during International Conference on Computational Intelligence and Data Science (ICCIDS 2018). The workshop was scheduled in four sessions.

The expert of the session-I was Dr. L V Subramaniam, Senior Manager, IBM India Research Laboratory, New Delhi, India. The session started with the introduction of Artificial Intelligence that enables machines to do complex learning, reasoning and decision making. He described work towards significantly advancing symbolic, probabilistic, linguistic, and neural net reasoning that moves towards taking advantage of machine learning ubiquitously.

Mr. Sudhanshu Shekhar Singh, Lead – Collaborative Cognition, IBM Research India Delhi, India conducted the session- II on Cogniculture – Collaborative Cognition in Social Machines. He defined Cogniculture as the art, science, technology and business involved in the cultivation and breeding of cognitive agents (human and machines) living in a complex adaptive ecosystem and collaborating on human computation for producing essential ingredients (food, energy, safety etc) necessary for enhancing [humanity-centric] social goods. The innovations and development in this area entail cross discipline research including Sociology, Psychology, Cognitive Sciences, Neuro Sciences, Physiology were explain in details.

The session-III was started with building question answering systems to interactive question answering systems to building conversational systems by Sachindra Joshi, Senior Technical Staff Member, IBM Research India Delhi, India. He talked about the various dialog frameworks that have been proposed by various industries such as Microsoft bot framework, IBM Watson Conversation Service and Google Dialoflow and how ML approaches can be used to build them in a semi-automatic manner.

The Session-IV was on Dialog Generation by Mr. Harshit Kumar, IBM Research lab, New Delhi, India. He talked about an automated dialogue system. He showed that additional information available in the form of dialogue acts –when used along with context given in the form of dialogue history– improves the performance irrespective of the model being generative or discriminative.

The workshop was attended by 200 conference delegates, students and faculty members of The NorthCap University, Gurugram.