Deep learning (DL) methods have emerged as a powerful tool for the inversion of geophysical data. When applied to field data, these models often struggle without additional fine-tuning of the network. This is because they are built on the assumption that the statistical patterns in the training and test datasets are the same. To address this, we propose a DL-based inversion scheme for Radio Magnetotelluric data where the subsurface resistivity models are generated using Gaussian Random Fields (GRF). The network's generalization ability was tested with an out-of-distribution (OOD) dataset comprising a homogeneous background and various rectangular-shaped anomalous bodies. After end-to-end training with the GRF dataset, the pre-trained network successfully identified anomalies in the OOD dataset. Synthetic experiments confirmed that the GRF dataset enhances generalization compared to a homogeneous background OOD dataset. The network accurately recovered structures in a checkerboard resistivity model, and demonstrated robustness to noise, outperforming traditional gradient-based methods. Finally, the developed scheme is tested using exemplary field data from a waste site near Roorkee, India. The proposed scheme enhances generalization in a data-driven supervised learning framework, suggesting a promising direction for OOD generalization in DL methods.

Researchers at Central Building Research Institute (CBRI) in Roorkee have developed an Artificial Intelligence (AI) model to predict the "transmission probability" of Covid-19 in a closed space in a building. ROORKEE: Researchers at Central Building Research Institute (CBRI) in Roorkee have developed an Artificial Intelligence (AI) model to predict the "transmission probability" of Covid-19 in a closed space in a building. The model uses an electronic device to detect carbon dioxide concentration, temperature and humidity of a room. These and other input parameters are used to show the probability of the presence of Covid-19 virus in an office, classroom or any other closed space in a building. After computing the parameters, a software determines the transmission probability and displays the results in the form of a text alert on the screen.

The Machine Learning Center at Georgia Tech (ML@GT) is home to many talented students from across campus, representing all six of Georgia Tech's colleges and the Georgia Tech Research Institute (GTRI). These students have diverse backgrounds and a wide variety of interests both inside and outside of the classroom. Today, we'd like you to meet Abhishek Das, a fourth year computer science Ph.D. student who is expecting to graduate in May 2020. Inspired by many, and an avid scuba diver, reader, and podcast listener, Das hopes to continue his work on developing artificial agents with human-level skillsets and affecting climate change after graduation. Other degrees earned and from what institution: Bachelor's in Electrical Engineering from Indian Institute of Technology Roorkee My research focuses on building artificial agents that can see, talk, and act the way we do as humans.

Ashish Ranjan Jha received his Bachelors degree in Electrical Engineering from IIT Roorkee (India), Masters degree in Computer Science from EPFL (Switzerland) and an MBA degree from Quantic School of Business (Washington). He has received distinction in all 3 of his degrees. He has worked for large technology companies like Oracle, Sony as well as the more recent tech unicorns such as Revolut, mostly focussed around Artificial Intelligence. He currently works as a Machine Learning Engineer. Ashish has several years of working experience and specialisation in the field of Machine Learning, and Python is his go-to tool.

Global audit, consulting, risk management, and financial advisory services provider Deloitte has partnered with the Indian Institute of Technology (IIT) Roorkee to offer its students fellowships in artificial intelligence (AI) and advanced analytics. This new strategic partnership between the two institutions will considerably help IIT Roorkee students gain a better industry experience through work-study programs. The artificial intelligence and machine learning (ML) immersion fellowship programs are specifically developed to build the future generation workforce. Prof. Ajit K. Chaturvedi, Director, IIT Roorkee, said, "The coming together of IIT Roorkee and Deloitte will create new opportunities for both of us. In fact, this partnership has the potential to strengthen the AI roadmap of India."

The Indian Institute of Technology (IIT), Roorkee is offering a five-month online course on data science and machine learning (ML). The course is conducted by Imarticus Learning in association with iHUB DivyaSampark to enable candidates to leverage data Science and ML for effective decision-making. Prof Sudeb Dasgupta, project director of iHUB DivyaSampark said in a press release, "We bring iHUB DivyaSampark's expertise in building outstanding programs with IITs and Imarticus' technical expertise to deliver an outstanding learning experience through a holistic approach. Together, we envision creating a skilled workforce for innovation and digital growth." For more information, go through the brochure.

We are the global leaders in training and are spreading in multiple cities of India such as Dehradun, Roorkee, Lucknow, and its overseas branches in Germany and Ukraine. Our training institute holds the best Deep learning training classes. Our trainers are working professionals in top MNC'S thus they provide the prevailing working knowledge to the students and make them work on live projects which enhances the skills of the students in a better manner. As our trainers are experts in their field of domain and frequently upgrade themselves with new tools to impart the best training of a real working environment. We also provide facilities for last year's college students or professionals who want to develop their skills by enrolling in the best Deep learning summer training course, winter training course, corporate training course, and industrial training course.

The Indian Institute of Technology (IIT), Roorkee will be offering two new Masters of Technology (MTech) programmes in Artificial Intelligence (AI) and Data Science from the academic session 2021-22. The programmes will be launched through the recently established Centre for Artificial Intelligence and Data Science (CAIDS) of the institute. Before applying for the programmes, candidates need to register on COAP 2021 portal at coap.iitd.ac.in. As many as 23 faculty members from 15 different departments of the institute have joined CAIDS as joint faculty of the centre. Candidates must have BE/BTech/Integrated MSc or equivalent degree in any engineering course to be able to apply.

Indian Institute of Technology (IIT) Roorkee has launched two new MTech programs – Artificial Intelligence (AI) and Data Science (DS) under the recently established Centre for Artificial Intelligence and Data Science (CAIDS). Both the programmes will begin from the 2021-22 academic session, the institute said. As many as 23 faculty members from 15 different departments of the institute have joined the centre as joint faculty members. "These two MTech programs will train human resources with an in-depth knowledge of the tools and techniques necessary to translate data into actionable decisions," IIT Roorkee said. "AI and DS have opened new avenues for research across disciplines and specializations. The Centre for Artificial Intelligence and Data Science shall play an important role in shaping the AI and DS landscape of the country by promoting manpower development, research and innovation leading to opportunities for entrepreneurship," said Professor Ajit K Chaturvedi, Director, IIT Roorkee.

Each M.Tech program comprises a total of 67-72 credits, where 35-40 credits for coursework, a two-credit seminar, and a year-long dissertation of 30 credits Roorkee (The Hawk): Indian Institute of Technology (IIT) Roorkee has launched two new M. Tech programs under the recently established Centre for Artificial Intelligence and Data Science (CAIDS). Artificial Intelligence (AI) and Data Science (DS) have the power to solve real-life problems and benefit humankind by harnessing valuable information from Big data. Academicians, professionals, policymakers, and business leaders are working towards creating a sustainable society with intelligent automation of complex real-life tasks powered by AI and DS. Such efforts provide better research opportunities and innovation leading to skill enhancement and empowerment of the Indian workforce. IIT Roorkee has set up a Centre for Artificial Intelligence and Data Science (CAIDS) with the above in mind.