Tech Nepal - Tech Sewa

Apr292024 by AdminNo Comments

Apple introduced an open-source AI model that can work without the Internet

Apple's foray into the AI landscape has taken a significant leap with the release of their latest generative AI model, Open Source Efficient Language Models (OpenELM). Unlike many AI models that rely on cloud servers for processing, OpenELM operates directly from the device's chipset, marking a departure from the traditional cloud-based approach. This groundbreaking development means that users can harness the power of AI without the need for constant connectivity to cloud servers. The model's availability on the Hugging Face Hub, a popular AI code sharing platform, opens doors for developers to leverage its capabilities for various tasks, including email composition and writing. Apple's white paper reveals that OpenELM comprises eight models, with four trained in the CoreNet library...

Proposal of Kathmandu University to build Green Hydrogen Hub in Nepal

Tech Nepal, Technology

Nestled in the heart of the Himalayas, Nepal is poised to embark on a groundbreaking journey towards sustainable energy with the proposed establishment of hydrogen hubs across the country. Spearheaded by Kathmandu University, this ambitious initiative aims to harness Nepal's abundant hydropower resources to produce clean and renewable hydrogen energy. In this blog post, we delve into the concept of hydrogen hubs, their potential impact on Nepal's energy landscape, and the transformative opportunities they present. 1. What are Hydrogen Hubs? Hydrogen hubs represent an integrated approach to energy production, storage, and utilization within a single industrial setup. At their core, these hubs leverage excess electricity generated by hydropower plants to produce hydrogen through various m...

What is in the code that Minister of Education Shrestha has put on GitHub? How does it work?

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It's fascinating to see how technology is being leveraged to streamline processes and tackle challenges in the education sector. Minister Sumana Shrestha's initiative to introduce the 'Center Randomized' code on GitHub marks a significant step towards modernizing examination center selection in Kathmandu. Understanding the Code: The source code, written in Python, aims to automate the allocation of examination centers for class 12 students. By randomly assigning centers within a two-kilometer radius, the code seeks to ensure fairness and efficiency in the allocation process. Key Features: The code considers various factors, including school location, capacity, and historical data, to determine suitable examination centers. A threshold is set to determine the maximum distance ...