Machine-learning models accurately pinpointed differences in immune responses in healthy controls and those living with HIV.

A new study led by York University found that not only could machine-learning models accurately pinpoint differences in healthy controls and those living with HIV, but also found outliers in both ...

Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory ...

Antimicrobial resistance (AMR) threatens human, animal, and environmental health globally. An international team from leading institutions, including ...

Baez called for the development of new mathematics — he called it “green” math — to better capture the workings of Earth’s biosphere and climate. For his part, he sought to apply category theory, a ...

Advances in instrumentation, modeling and control are more fully understood and utilized when assisted by first-principle, ...

Sarvam has rolled out two multilingual large language models (LLMs), with 30 billion and 105 billion parameters, that were first introduced at the AI Impact Summit 2026 in New Delhi.The models are now ...

Halassa writes in the context of a broader research program he calls algorithmic psychiatry, which argues that mental illness ...

In many real-world systems, such as fireflies flashing, Japanese tree frogs croaking, magnetic Janus particles, neurons firing, and in various engineered systems like drone swarms and wireless sensor ...

Keerthi Amistapuram explains how generative AI and large language models can automate insurance claims documentation and improve customer communication responsibly.

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Mosquitoes transmit several pathogens of public health importance, including malaria, dengue, chikungunya and Zika. These ...