GRM is a unique platform where students remotely work on challenging short/long term technical projects defined by IBM mentors.
Students get the opportunity to interact with top IBM technical expertise and learn to use tools and strategies to get skilled and comfortable with gen next technologies and doing it online makes it easier to work from any part of India.
Build Newer architectures, benchmarks, and leaderboards in the area of Time-Series Foundation Models. Publish the work in top-tier conferences.
Develop a solution that enables users to search and analyse food products, providing comprehensive insights into ingredient composition and health impact, including image-based analysis and personalized calorie tracking.
Farmers in Maharashtra face significant language barriers and have limited access to essential information regarding government schemes and agricultural best practices. Many farmers are not proficient in English, making it crucial to provide informat
The two primary requirements in the zero noise extrapolation (ZNE) protocol are the noise factors and the extrapolator. However, the same noise factors does not provide similar accuracy for circuits of different depth and width. And there is no obvio
IBM Quantum has been the leader in Quantum Technology in both hardware, middleware, and software. We have latest 156 qubits Heron processor chip which has capability to solve complex problems. Recently, several institutions has show-cased utility sca
Compute-intensive Monte Carlo methods are at the heart of material research. This project will explore specific software design patterns for heterogeneous computing specific to material research. The system of interest is dislocation loop models i
Apply novel Hamiltonian Simulation Algorithm techniques for applications in chemistry. The focus would be on large-scale models that align with the utility-scale experiments.
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The increasing complexity of modern software systems makes error detection and correction challenging for developers, necessitating accurate and insightful error explanations. Generative Large Language Models (LLMs) offer automated solutions but ofte