What if school wasn't just about accumulating knowledge, but also about learning to respect oneself, to take care of oneself, ...

Why management education must stop fearing artificial intelligence and start embracing it to think deeply, question sharply, ...

Something is quietly unravelling in Malaysia’s public universities. Behind the polished facades and impressive ranking climbs ...

Given that NotebookLM isn't the best for building a long-term knowledge base, it performs best in project-based workflows ...

Abstract: Knowledge distillation (KD), as an effective compression technology, is used to reduce the resource consumption of graph neural networks (GNNs) and facilitate their deployment on ...

Abstract: The lack of complete labels and data heterogeneity are obstacles to the application of artificial intelligence-based methods in industrial scenarios, such as machinery fault diagnosis. To ...

This year marks a historic milestone for Xavier Institute of Social Service (XISS), Ranchi, as we celebrate 70 glorious years ...

3. Timeliness and currency: Outdated information undermines AI performance. In fast-changing fields, models that rely on ...

Over the last two years, several IIMs have expanded beyond their flagship MBA programmes by launching undergraduate courses, ...

If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is ...

By combining eFlow's AI-powered engagement capabilities with its learning expertise, EDT&Partners strengthens capabilities for last-mile learning ...