Generative artificial intelligence (AI) applications such as ChatGPT present a distinct challenge for computer
science (CS) students. While they offer individualized learning support, unregulated use risks facilitating academic
shortcuts and eroding critical thinking skills. This article introduces Lion-AI, a chatbot...
Blessing C. Uzo, Micah Okpara, E. Chukwuemeka et al.· International Journal of Inn...· 0 citations
This chapter analyzes the practices of a Community School Committee (CS Committee) established at a public elementary school in metropolitan Tokyo as a collaborative mechanism for school improvement. The materials analyzed included CS Committee newsletters, school newsletters, summaries of improvement efforts, opinion...
Recent advances in large language model (LLM)-driven agentic systems have demonstrated capabilities for automating biomedical data analysis workflows. However, existing systems are predominantly validated on synthetic benchmarks or retrospective tasks, without demonstrated production of novel, peer-reviewed biological...
Om Chhaya, Viswanath Ananth· Preprints.org· 0 citations
Prompt, context and policy management: Google Cloud study Author: Sonu Kumar Singh (Senior Consultant — Cloud & AI Solutions Architecture, Capgemini US LLC) Professional Credential: Member, IEEE (Membership # 102728576) | ORCID: 0009-0002-9180-4946 Abstract Enterprise generative AI becomes dependable only when retrieva...
Sonu Kumar Singh· Zenodo (CERN European Organi...· 0 citations
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With the advent of Generative Artificial Intelligence (GenAI), the talent acquisition process is transforming, impacting every stage from sourcing jobs to creating job descriptions to parsing candidate resumes to assessing skills and even the interview process. This process can be enhanced by using large language model...
Generative artificial intelligence (GenAI)is rapidly reconfiguring advertising from message delivery and optimization to relationship-like exchanges between consumers and brands. While existing work has explained these interactions through social response accounts and interpersonal relationship theories, this lens risk...
Veronica L. Thomas, Heather Shoenberger, Andrés Gvirtz et al.· Journal of Advertising· 0 citations
Multi-agent orchestration for data operations: Google Cloud study Author: Sonu Kumar Singh (Senior Consultant — Cloud & AI Solutions Architecture, Capgemini US LLC) Professional Credential: Member, IEEE (Membership # 102728576) | ORCID: 0009-0002-9180-4946 Abstract Enterprise generative AI becomes dependable only when...
Sonu Kumar Singh· Zenodo (CERN European Organi...· 0 citations
This anonymized dataset and reproducibility package accompanies a multisite, two-stage randomized study examining the sequencing of learner-generated judgment and generative-AI advice, scaffold withdrawal, and delayed AI-free reasoning. The study involved 3,600 undergraduate business and management students across eigh...
Anonymous Research Team· Zenodo (CERN European Organi...· 0 citations
Schema evolution at enterprise scale: Microsoft Azure study Author: Sonu Kumar Singh (Senior Consultant — Cloud & AI Solutions Architecture, Capgemini US LLC) Professional Credential: Member, IEEE (Membership # 102728576) | ORCID: 0009-0002-9180-4946 Abstract Cloud data platforms are no longer used only for reporting....
Sonu Kumar Singh· Zenodo (CERN European Organi...· 0 citations
Enterprise RAG over governed data: Microsoft Azure study Author: Sonu Kumar Singh (Senior Consultant — Cloud & AI Solutions Architecture, Capgemini US LLC) Professional Credential: Member, IEEE (Membership # 102728576) | ORCID: 0009-0002-9180-4946 Abstract Enterprise generative AI becomes dependable only when retrieval...
Sonu Kumar Singh· Zenodo (CERN European Organi...· 0 citations
Exploring how generative AI could make machine vision more accessible to businesses. The post GenEye in a Box: Making Machine Vision Something You Can Just Ask For appeared first on GPT-Lab.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks. Agent Lightning connects existing agents to RL training, making it easier to improve them without rebuilding them. The post Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 6, 2026
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
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