Abstract: Skeleton-based human action recognition has rapidly secured a central position in research by leveraging the abstract representation of geometric structures and temporal dynamics. However, ...
A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...
That’s no coincidence, because TikTok’s algorithm is actually one of the most sophisticated recommendation systems on the ...
Zuhair Lakhani is creating an army of AI influencers and flooding feeds with “propaganda campaigns.” What could go wrong?
Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?
The premise is straightforward — we are awash in biological data. The rapid growth of multiomics datasets (genomics, transcriptomics, proteomics, metabolomics, and radiomics) together with ...
Abstract: We introduce a distributed optimization framework for directed graph networks that addresses composite objective functions with smooth local components and a shared convex regulariser. Our ...
The CIL MT Syllabus 2026 consists of two papers, with a total of 660 vacancies for Management Trainee. The Paper 1 covers ...
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