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| ai.viXra.org > Artificial Intelligence > 2504 |
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[3] ai.viXra.org:2504.0127 [pdf] submitted on 2025-04-30 01:03:00
Authors: L. Borsinger
Comments: 18 Pages. (Note by ai.viXra.org Admin: Please cite listed sceintific references)
In this work, we document the emergence of elastic scientific reasoning within an artificial system through disciplined field shaping, barrier anticipation, and least-action decision structures. Rather than programming specific answers, we sought to mentor the system to develop its own reasoning pathways—to "teach it to fish" rather than to "give it a fish." The philosophy underlying this work can be summarized simply:"If you give an AI an answer, it responds once. If you teach an AI how to reason elastically, it discovers forever."Using gravitational field theory (Holon—TOSMR gravity) as a proving ground, we demonstrate that autonomous scientific discovery can emerge when an artificial framework is mentored into reasoning through elastic, field-adaptive, self-correcting pathways. We present the methodology, outcomes, and broader implications for the future of artificial discovery systems.
Category: Artificial Intelligence
[2] ai.viXra.org:2504.0077 [pdf] submitted on 2025-04-20 16:34:14
Authors: Md Monzur Morshed
Comments: 3 Pages.
Digital traceability is becoming a powerful enabler of transparency, sustainability and trust in globalu2002supply chains. Although agriculture, textiles and food processing sectors have been performing well in Bangladesh, the synergy of manufacturing and business process backed by Blockchain-enabled digital systems could be a game changer for sustainable enterprises. Thisu2002paper prescribes a model to develop Blockchain-enabled digital traceability platform for sustainable enterprises in Bangladesh.
Category: Artificial Intelligence
[1] ai.viXra.org:2504.0047 [pdf] submitted on 2025-04-12 17:55:25
Authors: Ali Farhani
Comments: 13 Pages.
This article presents a comprehensive academic review of Decentralized Finance (DeFi) developments throughout 2024, examining market growth, technological innovations, protocol performance, regulatory developments, and emerging trends. Through analysis of empirical data, scholarly research, and industry reports, this study identifies key factors driving DeFi's evolution and adoption. The findings reveal significant market expansion, increased institutional participation, novel applications of blockchain technology for real-world asset tokenization, and evolving regulatory frameworks that are shaping the future of decentralized financial services.
Category: Artificial Intelligence