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Machine learning models can accurately predict which babies are at risk of being born with low birth weight, enabling earlier and more effective medical intervention.
Babies born with low birth weight (less than 2.5 kg) are 20 times more likely to die. They are also more likely to develop neurological and cardiovascular diseases, diabetes, and growth problems later ...
Addressing protein aggregation, product stability, supply chains, and regulations requires multiple tools, including ...
GoCarin establishes Odisha's largest cattle feed plant with sustainable formulation, IoT capabilities, and farmer-focused app ...
AI researchers in Switzerland have found a way to dramatically cut cement s carbon footprint by redesigning its recipe. Their ...
“It's surprising how many problems machine learning can meaningfully contribute to,” says Rolnick, who also helped organize the June workshop. The paper offers up 13 areas where machine ...
The 10 hottest data science and machine learning tools include MLflow 3.0, PyTorch, Snowflake Data Science Agent and ...
In a Q&A, Gabe Gomes discusses the potential to combine human creativity with machine capability, transforming chemical ...
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Tech Xplore on MSNAI paves the way toward green cementThe cement industry produces about 8% of global CO₂ emissions—more than the entire aviation sector worldwide. Researchers at ...
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