GovInfoSecurity

The Future of Modern Observability

To close this observability tools gap and ensure rapid resolution times regardless of how large an infrastructure grows, ...
eWeek

Dell’s Vrashank Jain on The Data Problem That Could Break Your AI

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they ...
eLife

New idtracker.ai rethinks multi-animal tracking as a representation learning problem to increase accuracy and reduce tracking time

Identification of each animal in a collective becomes possible even when individuals are never all visible simultaneously, enabling faster and more accurate analysis of collective behavior.
Frontiers

Robust federated learning for UAV object detection: a joint self-distillation and drift compensation approach

The rapid advancement of unmanned aerial vehicles (UAVs) in disaster response and environmental monitoring has underscored the growing importance of real-time object detection within UAV swarm ...
IEEE

Neuro-Symbolic AI-Driven Data Warehouses: Self-Learning Architectures for Dynamic Schema Evolution and Adaptive Query Optimization

Abstract: A developing solution that combines the vision of having an AI-empowered data warehouse that can learn to develop new schema and to self-optimize queries for a dynamic data ecosystem, is in ...
GitHub

afls-ideas/Care-Program-Enrollee

Each LifeSciConfigRecord of category DbSchema defines which Salesforce object is synced offline and which fields are included in the local SQLite database on the mobile device. All records are ...
GitHub

a_r_capture_metadata.proto

// you may not use this file except in compliance with the License. // You may obtain a copy of the License at // http://www.apache.org/licenses/LICENSE-2.0 ...