Airtable is applying its data-first design philosophy to AI agents with the debut of Superagent on Tuesday. It's a standalone research agent that deploys teams of specialized AI agents working in ...

When I first started working with multi-agent collaboration (MAC) systems, they felt like something out of science fiction. It’s a group of autonomous digital entities that negotiate, share context, ...

ABSTRACT: With the deepening of global economic integration, maritime logistics has become the core pillar of international trade, carrying more than 80% of global trade volume. Among the factors ...

The brighter the color, the higher the spectral weight. Left panel: weak interaction, γ=0.5; Right panel: moderate interaction, γ=4.0. Since the discovery of the Mott insulator-metal phase transition, ...

I tried applying label smoothing to my multi-label classification problem—given that my dataset is noisy and unbalanced, I thought it might help—but I ran into issue #40258 ...

BERLIN, May 5 (Reuters) - Far-right party Alternative for Germany filed a lawsuit on Monday challenging a decision last week by Germany's domestic intelligence agency to classify the party as an ...

Abstract: A key challenge in multi-label classification is to model the dependencies between the labels while ensuring proper calibration, as the assumption of label independence often results in ...

Unsupervised domain adaptation (UDA) aims to adapt a model learned from the source domain to the target domain. Thus, the model can obtain transferable knowledge even in target domain that does not ...