Our project utilizes AI to streamline the synthesis of research on AI and ethics. By identifying key articles, extracting crucial points, and creating a comprehensive knowledge graph, we provide concise summaries, highlight emerging trends, and address potential limitations. This offers stakeholders valuable insights into the current state of research, saving time and enhancing understanding.
This paper is an extension based on my SLE'22 paper, with some exciting parallel computing work added! have a look at https://www.sciencedirect.com/science/article/pii/S0164121224000852 and feel free to dm me!
Skin cancer is a prevalent and potentially life-threatening disease that requires early detection for effective treatment. This research aims to develop an advanced and accurate system for the early detection of skin cancer using machine learning techniques through android version App.
The Smart Classroom Environment Control System utilizes Intel IoT Gateway technology and the OpenVINO toolkit, revolutionizing energy management in educational and corporate settings. It smartly controls lights, AC units, and fans based on real-time occupancy data, significantly reducing energy c...
Hello World 🌍 I recently hosted an engaging workshop on "Machine Learning using oneAPI" and "Gen AI," focusing on Generative Image and Large Language Models with 150 students from the Department of Artificial Intelligence & Data Science at Excel Engineering College. During the workshop,...
Build the 1.14.0 version (latest) version of the ‘oneAPI’ Level-Zero Application Programming Interface (API) to provide direct-to-metal interfaces to offload accelerator devices. Its programming interface can be tailored to any device needs and can be adapted to support broader set of languages ...
In the 40th anniversary event of Credicitrus, one of the highlighted activities was lecture sessions conducted throughout the days of the event in both the morning and afternoon by Alessandro de Oliveira Faria (Intel Innovator). He discussed one of the most exciting emerging technologies: Generat...
Using Intel's AI Analytics Toolkit, we tried to predict freshwater quality, achieving an F1 score of 0.81786 with TabNet ensemble models, addressing data challenges and optimizing performance for sustainable water assessment.
Collaborators: Abith K, Divya Biji, Prakruthi R Rai, Surya Prakash
The current study focuses on the lack of real-time recognition and response to students' emotional states in classrooms often hinders personalized learning, engagement, and well-being. Therefore, we need an empathetic, privacy-respecting solution that can analyse students' emotional cues for a mo...
Collaborators: Anubhav Sarkar, Neelabha Banerjee, Soham Bhattacharjee
In today's rapidly evolving technological landscape, there exists a profound need to bridge the communication gap for indivisuals who face speech impediments. There are many people in the society who struggle to communicate, face challenges in expressing thoughts, and finds it difficult to engage...
Source code to prototyped library for Collection Skeletons