https://www.bibsonomy.org/concept/tag/frameworkBibSonomy RSS Feed for /concept/tag/frameworkFramework7 is a powerful, free, and open-source framework used to develop high-quality mobile, desktop, and web applications with a native look and feel. It allows developers to create feature-rich applications for iOS and Android using HTML, CSS, and JavaScript without learning platform-specific programming languages.https://www.tpointtech.com/framework7-tutorialrachit1212026-08-05T14:33:10+02:00framework tpointtech <span itemprop="description">Framework7 is a powerful, free, and open-source framework used to develop high-quality mobile, desktop, and web applications with a native look and feel. It allows developers to create feature-rich applications for iOS and Android using HTML, CSS, and JavaScript without learning platform-specific programming languages.</span>Abstract page for arXiv paper 2510.13987: A Rigorous Quantum Framework for Inequality-Constrained and Multi-Objective Binary Optimization: Quadratic Cost Functions and Empirical Evaluationshttps://arxiv.org/abs/2510.13987scch2026-08-03T09:50:04+02:00Quantum Rigorous Framework <span itemprop="description">Abstract page for arXiv paper 2510.13987: A Rigorous Quantum Framework for Inequality-Constrained and Multi-Objective Binary Optimization: Quadratic Cost Functions and Empirical Evaluations</span>Compare Django vs Flask and understand the key differences in features, performance, scalability, and use cases to choose the best Python framework.https://www.cybersuccess.biz/python-django-vs-flask-in-2026/cybersuccess2026-07-14T09:20:30+02:00DJANGO FLASH <span itemprop="description">Compare Django vs Flask and understand the key differences in features, performance, scalability, and use cases to choose the best Python framework.</span>https://lobste.rs/s/xoyolt/litestar_is_worth_lookbshanks2026-05-22T21:12:10+02:00framework webdev <a itemprop="url" data-versiondate="2026-05-22T21:12:10+02:00" href="https://lobste.rs/s/xoyolt/litestar_is_worth_look" rel="nofollow" class="description-link">https://lobste.rs/s/xoyolt/litestar_is_worth_look</a>https://www.b-list.org/weblog/2025/aug/06/litestar/bshanks2026-05-22T21:11:41+02:00framework webdev <a itemprop="url" data-versiondate="2026-05-22T21:11:41+02:00" href="https://www.b-list.org/weblog/2025/aug/06/litestar/" rel="nofollow" class="description-link">https://www.b-list.org/weblog/2025/aug/06/litestar/</a>https://link.springer.com/chapter/10.1007/978-3-032-02003-1_3scch2025-12-03T11:08:50+01:00Trustworthy Collaborative Model Foundation Framework <a itemprop="url" data-versiondate="2025-12-03T11:08:50+01:00" href="https://link.springer.com/chapter/10.1007/978-3-032-02003-1_3" rel="nofollow" class="description-link">https://link.springer.com/chapter/10.1007/978-3-032-02003-1_3</a>https://www.oecd.org/en/publications/education-for-human-flourishing_73d7cb96-en.htmlyish2025-12-01T12:53:42+01:00framework skills oecd competencies <a itemprop="url" data-versiondate="2025-12-01T12:53:42+01:00" href="https://www.oecd.org/en/publications/education-for-human-flourishing_73d7cb96-en.html" rel="nofollow" class="description-link">https://www.oecd.org/en/publications/education-for-human-flourishing_73d7cb96-en.html</a>https://www.tandfonline.com/doi/abs/10.1080/10447318.2024.2391605scch2025-10-23T16:18:56+02:00Learning Reinforcement Framework <a itemprop="url" data-versiondate="2025-10-23T16:18:56+02:00" href="https://www.tandfonline.com/doi/abs/10.1080/10447318.2024.2391605" rel="nofollow" class="description-link">https://www.tandfonline.com/doi/abs/10.1080/10447318.2024.2391605</a>https://astro.build/bshanks2025-08-04T00:40:42+02:00framework hugo ssg webdev <a itemprop="url" data-versiondate="2025-08-04T00:40:42+02:00" href="https://astro.build/" rel="nofollow" class="description-link">https://astro.build/</a>Entangled Dimensions of AI Literacy https://rshorst.github.io/Entangled-Dimensions-of-AI-Literacy/yish2025-07-10T10:34:23+02:00competence framework epistemic literacy AI political ethical technological <span itemprop="description">Entangled Dimensions of AI Literacy </span>The constantly increasing electricity and energy demand in residential buildings, as well as the need for higher absorption rates of renewable sources of energy, demand for an increased flexibility at the end-users. This need is further reinforced by the rising numbers of residential Photovoltaic (PV) and battery-storage systems. In this case, flexibility can be viewed as the excess energy that can be charged to or discharged from a battery, in response to a group objective of several such battery-storage systems (aggregation). One such group objective considered in this paper includes marketing flexibility (charging or discharging) to the Day-ahead (DA) spot market, which can provide both a) financial incentives to the owners of such systems, and b) an increase in the overall absorption rates of renewable energy. The responsible agent for marketing and offering such flexibility, herein aggregator, is directly controlling the participating batteries, in exchange to some financial compensation of the owners of these batteries. In this paper, we present an optimization framework that allows the aggregator to optimally exchange the available flexibility to the DA market. The proposed scheme is based upon a reinforcement-learning approach, according to which the aggregator learns through time an optimal policy for bidding flexibility to the DA market. By design, the proposed scheme is flexible enough to accommodate the possibility of erroneous forecasts (of weather, load or electricity price). Finally, we evaluate our approach on real-world data collected from currently installed battery-storage systems in Upper Austria.https://link.springer.com/article/10.1186/s42162-019-0087-xscch2025-06-20T22:05:31+02:00framework demand-response cooperative <span itemprop="description">The constantly increasing electricity and energy demand in residential buildings, as well as the need for higher absorption rates of renewable sources of energy, demand for an increased flexibility at the end-users. This need is further reinforced by the rising numbers of residential Photovoltaic (PV) and battery-storage systems. In this case, flexibility can be viewed as the excess energy that can be charged to or discharged from a battery, in response to a group objective of several such battery-storage systems (aggregation). One such group objective considered in this paper includes marketing flexibility (charging or discharging) to the Day-ahead (DA) spot market, which can provide both a) financial incentives to the owners of such systems, and b) an increase in the overall absorption rates of renewable energy. The responsible agent for marketing and offering such flexibility, herein aggregator, is directly controlling the participating batteries, in exchange to some financial compensation of the owners of these batteries. In this paper, we present an optimization framework that allows the aggregator to optimally exchange the available flexibility to the DA market. The proposed scheme is based upon a reinforcement-learning approach, according to which the aggregator learns through time an optimal policy for bidding flexibility to the DA market. By design, the proposed scheme is flexible enough to accommodate the possibility of erroneous forecasts (of weather, load or electricity price). Finally, we evaluate our approach on real-world data collected from currently installed battery-storage systems in Upper Austria.</span>https://diataxis.fr/brightbyte2025-03-25T19:15:36+01:00framework documentation software canonical <a itemprop="url" data-versiondate="2025-03-25T19:15:36+01:00" href="https://diataxis.fr/" rel="nofollow" class="description-link">https://diataxis.fr/</a>The work of the EDSAFE centers around the SAFE Benchmarks Framework as we engage stakeholders to align equitable outcomes for all learners and improved working experiences for dedicated and innovative educators. We intend to clarify the urgency and specific areas of need to prevent failures in data management that compromise the potential for how responsible AI can be a lever for equity and innovation while protecting student privacy. Frameworks and benchmarks are important to innovation as a means of targeted guidance, focusing disparate efforts towards shared objectives and outcomes and ensuring the development of appropriate guidelines and guardrails. https://www.edsafeai.org/yish2024-07-10T18:19:08+02:00framework artificial ethics ai education policy intelligence <span itemprop="description">The work of the EDSAFE centers around the SAFE Benchmarks Framework as we engage stakeholders to align equitable outcomes for all learners and improved working experiences for dedicated and innovative educators. We intend to clarify the urgency and specific areas of need to prevent failures in data management that compromise the potential for how responsible AI can be a lever for equity and innovation while protecting student privacy. Frameworks and benchmarks are important to innovation as a means of targeted guidance, focusing disparate efforts towards shared objectives and outcomes and ensuring the development of appropriate guidelines and guardrails. </span>I have been working with LangChain applications for quite a while now and as you might know there is always something new to learn in the GenAI universe. So a couple of weeks ago I was going through…https://medium.com/latinxinai/the-future-is-agentic-crewai-f13544aad282ghagerer2024-05-11T17:02:17+02:00framework crew-ai llms langchain multi-agent <span itemprop="description">I have been working with LangChain applications for quite a while now and as you might know there is always something new to learn in the GenAI universe. So a couple of weeks ago I was going through…</span>The Australian Framework for Generative AI in Schools (the Framework) seeks to guide the responsible and ethical use of generative AI tools in ways that benefit students, schools, and society. The Framework supports all people connected with school education including school leaders, teachers, support staff, service providers, parents, guardians, students and policy makers.https://www.education.gov.au/schooling/resources/australian-framework-generative-artificial-intelligence-ai-schoolsyish2024-04-29T16:33:41+02:00framework literacy schools ai genAI policy generative <span itemprop="description">The Australian Framework for Generative AI in Schools (the Framework) seeks to guide the responsible and ethical use of generative AI tools in ways that benefit students, schools, and society. The Framework supports all people connected with school education including school leaders, teachers, support staff, service providers, parents, guardians, students and policy makers.</span>https://www.solidjs.com/bshanks2024-04-18T21:40:24+02:00framework react <a itemprop="url" data-versiondate="2024-04-18T21:40:24+02:00" href="https://www.solidjs.com/" rel="nofollow" class="description-link">https://www.solidjs.com/</a>https://news.ycombinator.com/item?id=40047212bshanks2024-04-16T21:48:44+02:00framework edge htmx cloudflare <a itemprop="url" data-versiondate="2024-04-16T21:48:44+02:00" href="https://news.ycombinator.com/item?id=40047212" rel="nofollow" class="description-link">https://news.ycombinator.com/item?id=40047212</a>https://github.com/honojs/honobshanks2024-04-16T21:48:12+02:00framework edge cloudflare <a itemprop="url" data-versiondate="2024-04-16T21:48:12+02:00" href="https://github.com/honojs/hono" rel="nofollow" class="description-link">https://github.com/honojs/hono</a>https://www.sciencedirect.com/science/article/pii/S0169023X23001003scch2024-01-23T19:16:56+01:00framework deep regression interpretability learning <a itemprop="url" data-versiondate="2024-01-23T19:16:56+01:00" href="https://www.sciencedirect.com/science/article/pii/S0169023X23001003" rel="nofollow" class="description-link">https://www.sciencedirect.com/science/article/pii/S0169023X23001003</a>https://tinygrad.org/ubt.rohlfs2023-11-15T21:20:36+01:00framework datenanalyse python maschinelles_lernen <a itemprop="url" data-versiondate="2023-11-15T21:20:36+01:00" href="https://tinygrad.org/" rel="nofollow" class="description-link">https://tinygrad.org/</a>