RoboChallenge's Top-Ranked Embodied AI Model Goes Open Source, Challenging Clean Data Collection Paradigm

Spirit AI, an embodied AI startup, today announced that its latest VLA model, Spirit v1.5, has ranked first overall on the ...
IEEE

UDNet: A Unified Deep Learning-Based AutoML Framework to Execute Multiple ML Strategies for Multi-Modal Unstructured Data Processing

Abstract: The rise of multi-modal unstructured data has intensified the need for advanced processing solutions capable of deriving meaningful insights efficiently. UDNet emerges as a concurrent ML ...

Global data gaps highlight why citizen science has now become essential for official statistics

For more than three decades, DHS provided vital demographic and health data on population, health, HIV, and nutrition in over ...

Botanic gardens' vast knowledge remains untapped due to fragmented data systems, say researchers

An international group of researchers says that biodiversity conservation and scientific research are not benefiting from the ...
MIT Technology Review

Using unstructured data to fuel enterprise AI success

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...

NotebookLM Upgrade Turns Research Hours into Minutes

Pick the sources you trust and let NotebookLM craft clear summaries with citations, so meetings and presentations come ...
Drug Target Review

The data fragmentation problem holding drug discovery back

The DMTA cycle depends on clear data flow, yet most labs still work across disconnected systems. Sean McGee, Director of ...