Abstract: Cross-domain fault diagnosis is useful in handling cross-working condition diagnosis scenarios. Most of the existing approaches mine domain knowledge from multiple working conditions.

Healthcare AI is growing up: instead of one massive model, 2026 favors teams of smaller, specialized models that collaborate, ...

Abstract: Recently, domain adaptation (DA) methods based on contrastive learning are widely used to solve the cross-scene classification problem. However, existing contrastive learning methods only ...

India’s real estate sector in 2025 saw rapid tech adoption, AI-led HR transformation, ESG-driven hiring, and new digital ...

An AI-generated analysis of the AI Impact series argues AI’s true value lies in augmenting human intelligence, not replacing ...

I didn’t want to build another loud kid’s app. I wanted to build something that felt like sitting beside your child while ...

Review re-maps multi-view learning into four supervised scenarios and three granular sub-tiers, delivering the first unified ...

Ruyi Ding (Northeastern University), Tong Zhou (Northeastern University), Lili Su (Northeastern University), Aidong Adam Ding (Northeastern University), Xiaolin Xu (Northeastern University), Yunsi Fei ...

The new preschool curriculum introduced at the start of the current school session will focus on six key learning areas to ...