Koteswara Rao Chirumamilla is a senior enterprise data engineering and cloud modernization professional with over fourteen years of experience across retail, supply chain, finance, and large-scale ...

Saurabh Misra work spans machine learning, large-scale systems, and software performance, with a consistent focus on building faster, more efficient, and more sustainable technology.

Tian, Y. (2025) Artificial Intelligence Acceptance of High School English Teachers and Its Influencing Factors —Mixed Research Based on the UNESCO Framework for Teachers’ AI Competence. Open Journal ...

Preparing The Workforce For A Robotic Construction Era. EINPresswire/ -- Robots are increasingly being deployed on construction sites to address labor shortages, reduce safety risks, and improve ...

Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...

Accurate smartphone positioning in dense urban environments remains challenging due to signal blockage, multipath effects, and unreliable satellite ...

IIT Madras Professor Mohanasankar Sivaprakasam has won the Rashtriya Vigyan Puraskar 2025 in the Vigyan Yuva category for his ...

Hydrogen peroxide is widely used but energy-intensive to produce. A new machine-learning framework helps find catalysts that ...

Xenith Solutions has secured a place on the US Missile Defense Agency’s Scalable Homeland Innovative (SHIELD) multiple-award ...

Abstract: Associations and supply chains have changed altogether in the cutting edge world, and looking at undertakings working in various store network portions just utilizing customary measures like ...

Large language models (LLMs) such as GPT and Llama are driving exceptional innovations in AI, but research aimed at improving ...

Nvidia's 600,000-part systems and global supply chain make it the only viable choice for trillion-dollar AI buildouts.