Researchers from Google and MIT published a paper describing a predictive framework for scaling multi-agent systems. The framework shows that there is a tool-coordination trade-off and it can be used ...
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Black Forest Labs' new Self-Flow technique makes training multimodal AI models 2.8x more efficient
This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models that are deeply aligned with their specific data domains ...
B, an open-weight multimodal vision AI model designed to deliver strong math, science, document and UI reasoning with far less training data and compute than much larger systems.
Large protein machines in the body carry out many of the cell's most essential tasks, from energy production to the ...
Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory ...
Late in 2025, we covered the development of an AI system called Evo that was trained on massive numbers of bacterial genomes. So many that, when prompted with sequences from a cluster of related genes ...
By cooling an atom-thin magnetic material, physicists have experimentally confirmed a classic 1970s model of two-dimensional magnetism.
A new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a ...
A new study suggests AI systems could be a lot more efficient. Researchers were able to shrink an AI vision model to 1/1000th ...
Think you know iOS inside out? Well, think again. Unlock your iPhone's full potential with these hidden tweaks.
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