The race to develop powerful large language models has long been dominated by public cloud hyperscalers, with their seemingly limitless scale and on-demand GPU...
Month: September 2025
As manufacturers increasingly deploy large language models (LLMs) to optimize supply chains, automate quality control, and streamline operations, the environmental impact of these energy-intensive...
Introduction Generative AI is reshaping higher education, forcing universities to make a critical decision: should they rely on commercial large language models (LLMs) or...
Introduction As regulators tighten standards under Basel III’s “endgame” phase, demanding higher quality of capital, more rigorous stress tests, and more exhaustive scenario analyses,...
In the high-stakes world of finance, where regulatory compliance and algorithmic transparency are non-negotiable, the black-box nature of large language models (LLMs) has been...
The integration of artificial intelligence into healthcare promises revolutionary advances—from diagnostic precision to personalized treatment plans—but it also introduces formidable challenges in data security...
The next frontier of industrial efficiency is here—Predictive Maintenance 2.0, where AI doesn’t just flag impending failures but autonomously prescribes solutions in real time....
In an era where data privacy regulations and intellectual property concerns often stifle innovation, the AI research community faces a critical dilemma: how to...
As smart factories adopt digital twins (virtual replicas of physical assets/processes) to optimize operations, simulate what-if scenarios, and enable predictive maintenance, scale becomes a...
Introduction Quality assurance (QA) systems form the backbone of enterprise knowledge access, decision support, and customer interaction frameworks. Traditional QA systems, built on keyword...