Accès ouvert
2026
article
OpenAlex
Anupam Joshi, Tim Finin, Karuna Joshi, Lalana Kagal
Autonomous agentic AI systems driven by Large Language Models (LLMs) introduce a new class of security, privacy, and compliance challenges: an agent that can invoke tools, manipulate data, install software, and coordinate with peer agents across organizational boundaries must be constrained not …
Accès ouvert
2026
conference-paper
OpenAlex
Anupam Joshi, Tim Finin, Karuna Pande Joshi, Lalana Kagal
Autonomous agentic AI systems driven by Large Language Models (LLMs) introduce a new class of security, privacy, and compliance challenges: an agent that can invoke tools, manipulate data, install software, and coordinate with peer agents across organizational boundaries must be constrained not …
us
(code pays fourni par la source)
Accès ouvert
2026
preprint
OpenAlex
Anupam Joshi, Tim Finin, Karuna Pande Joshi, Lalana Kagal
Autonomous agentic AI systems driven by Large Language Models (LLMs) introduce a new class of security, privacy, and compliance challenges: an agent that can invoke tools, manipulate data, install software, and coordinate with peer agents across organizational boundaries must be constrained not …
us
(code pays fourni par la source)
Accès ouvert
2026
article
OpenAlex
Chaturya Yarradoddi, Anupam Joshi
Our work seeks to find out whether we can predict a student's graduation in STEM majors, specifically in Engineering and Computing, based on both academic factors known at admission time and financial factors. We create an integrated predictive modeling system that uses …
Accès ouvert
2025
article
OpenAlex
D. S., Anupam Joshi, Gokul Krishanan G, Hariharan MS
This paper introduces Insightify, an online platform designed to support users in their educational and career development journeys. Insightify provides personalized tools for Course Recommendations, Roadmap Generation, Resume Enhancement, Project Recommendations, and a Quiz Module. These features work collaboratively to simplify skill-building …
2025
book-chapter
OpenAlex
Anupam Joshi, A.R. Anuradha Bhute, Lakshmi Rao
Accès ouvert
2025
article
OpenAlex
Suddamalla Manoj Kumar Reddy, Gongalla Sreeja Reddy, Anupam Joshi, Leela Krishna Chaithanya
With food-borne illnesses increasing every year and e-commerce operations reaching every location globally, ensuring food safety is of paramount importance. In India, 16 per cent of the total disease outbreaks are reported to be food-related emphasising the significance. While On-Farm Food Safety …
in
(code pays fourni par la source)
Accès ouvert
2025
article
OpenAlex
Suddamalla Manoj Kumar Reddy, Gongalla Sreeja Reddy, Leela Krishna Chaithanya, Anupam Joshi
Agrifood systems provide food along with providing employment opportunities to a large number of people around the globe. While the positive aspects are well known to all, many negative costs also arise out of agrifood systems which when given a monetary value …
in
(code pays fourni par la source)
Accès ouvert
2025
article
OpenAlex
Gongalla Sreeja Reddy, M. Chandrasekhar Reddy, Anupam Joshi, Krishna Chaitanya et autres
Machine learning (ML) is rapidly transforming agriculture by introducing data-driven insights and automation into farming practices, enabling precision, efficiency, and sustainability. This paper explores the foundational concepts of ML, distinguishing it from conventional programming approaches through its ability to learn patterns and …
in
(code pays fourni par la source)
Accès ouvert
2025
article
OpenAlex
Gongalla Sreeja Reddy, M. Chandrasekhar Reddy, Krishna Chaitanya, Anupam Joshi
Environmental sustainability is a pressing global challenge that demands innovative solutions to balance ecological preservation with human development. In the digital age, smart technologies have emerged as transformative tools for addressing these challenges by optimizing resource management, reducing environmental impact, and promoting …
in
(code pays fourni par la source)
Accès ouvert
2025
article
OpenAlex
Cody Savage, Adway Kanhere, Vishwa S. Parekh, Curtis P. Langlotz et autres
. In addition, this article compares the benefits and drawbacks of open-source and proprietary LLMs, discusses the differentiating characteristics of popular open-source LLMs, and highlights recent advancements that may affect their adoption.
us
(code pays fourni par la source)
2024
conference-paper
OpenAlex
Vladimir Korolev, Anupam Joshi
Computation over large data sets is now a critical part of most natural and social sciences. As such, having ways to capture the provenance and lineage of the data is a sine qua non for not just reproducibility, but also for these …