05 Jul 2021-09 Jul 2021|Gurgaon (Manesar) | Online
Faculty Enrichment Program on Computational methods for Artificial Intelligence, Machine Learning and Blockchain Technology
Amity School of Engineering and Technology organized webinar on Computational methods for Artificial Intelligence, Machine Learning and Blockchain Technology’ between 5th July – 9th July 2021.
The main objective of the event was to enhance the practical knowledge of the faculties on computational methods used for Artificial Intelligence and also to offer to learn the basics of emerging trends and challenges in the field of computing and security and improve security ability in carrying out research testing and consultancy in computational techniques
Dr. Munish Jindal, Founder & CEO of Hover Robotix ,Founding President of MENTORx delivered his talk on Artificial Intelligence and Machine Learning: Transforming Academia to Industry.
Dr. Munish Jindal enlighten the participants about use of AI in Day-to-day life and the future of AI and specified following points.
AI is changing the world. AI is being used in personality checking based on selfie photographs to ordering food based on past orders.
AI has numerous applications in the field of agriculture, healthcare , banking, education, online shopping etc. Image analysis, Virtual Assistants, Predictive Analysis are few trending areas.
Smartwatch is an example of AI which is used to monitor the health of the human by recording heartbeat, footsteps. Autonomous tractors and Agriculture Robots are another example of AI in the field to agriculture for irrigation, seeding, taking care of plant health.Robodogs for enforcing social distancing and Humanoids are other achievements in the field of AI.
Dr Vikas Thada, Associate Professor, Amity University Gurugram, delivered his talk on machine learning based web apps.
The lecture covered basics of supervised machine learning followed by developing binary and multiclass classification model. Once models were built using flask and streamlit deployments of development model was done on public cloud. Complete process was done by using python and anaconda framework.
Mr. Ashutosh Kumar, Global Technology Services, IBM, Noida, delivered his talk on computer visions: The evolution and emerging trends.
He discussed about chronology of Computer vision in different fields such as safety,health and security.
· The Case study on Understanding Chess board Position through visual search was elaborately discussed.The objective of the search was to understand the successive chessboard position using active visual search and planning.The system was implemented using robot cell comprises of master controller,image processing station and IBM7545 industrial robot.
· Further,discussion was carried out on Visual learning and recognition of 3D objects from Appearance.It is a technique for automatically learning three dimensional objects from their appearance in two-dimensional images.The method adopted in this approach computes the eigenvectors of an image set.The large number of eigenvectors are required that form an orthogonal basis for representing individual images in the set.
· During the session Bin Picking Using Manifold Learning technique was discussed.It requires accurate estimation of location and pose of the object for positioning the end effector of the robotic arm.It employed Locally inear Embedding (LLE) and Deep Learning for manifold learning in the visual domain as well as for the parameters of robotic manipulator for visual servoing.
· The computer vision journey was discussed specifying the evolution of computer vision techniques from the year 1960 till year 2020.
Prof. Pradeep K Das, IIT Guwahati delivered his talk on Human Vs Machine Intelligence: Some Lessons from Image Processing He explained the different components in computer vision and specifies that from a given a partial iamge the complete image can be developed. Through the series of experiments he demonstrated that light makes object appear different sometimes than what they actually are known as illusion.Thereby,he stressed out that element of distance biased our decsion.
Discussion was carried out on the design considerations for objects detection in a scene that depends on following factors: possible object placement,detection and localization of objects and categorization of objects in the scene.
Further, design issues for mobile robots in an unfamilar territority was discussed that covers the following factors:constrainting the paths,movement behavior learning and safety of sensors.
Dr. Sunil Sikka, Amity University Haryana, delivered his talk on Robotic Process Automation in Action The concept was explained using the UiPath as one of the robotic process automation tools for large-scale end-to-end automation. He explained methods for an accelerated business change, and discussed few solutions for businesses to automate routine office activities. The application easily transformed tedious tasks into automated processes.
The demonstration showed how the technology combines emulating humans read computer screens (AI Computer Vision) with APIs, and gives users access to prebuilt automation components that can be combined to automate routine processes. The session was highly interactive as most of the participants were new to this domain. There interest in developing Bots was reflected through the quantum of queries asked in the Q & A session.
Dr Sandeep K Panda, Associate Professor, ICFAI University, Hyderabad, delivered his session on : ‘Blockchain Technology : Applications and Challenges’. He discussed about the topic, Bit Coins and Crypto currency and about the tremendous growth of bit coin. Also, there was discussion about the various blockchain networks like centralized, Decentralized and distributed ledgers.
He spotted about the Architecture of Blockchain(Merkle Tree) and the process of its working where adding new blocks to the chain were understood. There were few more points those were covered up like Etherum platform and ether, Permissioned Blockchain and incentive designs, Decenteralized apps and many more.
There were some realtime projects discussed during the presentation like Oaken project(USA), La’Zooz Project(Israel) , Dova(England) and few more. Lastly there was a nice query session where the questions related to encryption, security , tokens etc where asked from the guest.
Dr Karunesh Arora, Sr. Director (SNLP), C-DAC Noida, delivered his talk on Natural Language Processing
Dr Arora started the session with a brief outline of NLP domain. Around 82 participants attended the session. He discussed several application domains and their challenges. In his talk he discussed the importance of context while referring to word ambiguity. One of the important area of NLP; the named entity recognition was also highlighted by Dr Arora. He discussed the nuances of deep learning and its application in Natural language processing. His talk let the participants discover the difference between processing based on Deep Learning and traditional approaches of NLP. In his session DR Arora also discussed more complex aspect of NLP i.e., Speech Processing. The methods for speech and speaker identification was highlighted. At the end Dr Karunesh Arora shared with the participants all the available resources and software tools like open CV, open-NLP etc. that can be helpful in NLP processing.
Dr Ruchika Malhotra, Professor, Delhi Technical University, Delhi delvered her talk on Empirical software engineering: analyzing experimental data and future directions.
Dr Malhotra in her talk discussed aspects of data analysis method . Around 80 students participated in the session. Dr Ruchika emphasized the importance of understanding of the problem and algorithm. The talk was focussed towards the empirical aspects of software engineering research. The major steps like data selection, data cleaning, application of machine learning algorithms was talked about. Dr Malhotra outlined the importance of clean and balanced data. Importance of Parameter tuning for optimal result was discussed.
Once the sessions were over an online assessment was taken to help identify the learning of students.
The FEP concluded with a vote of thanks by Dr. Vikas Thada.
Total 114 faculties and 22 students attended the session.