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A team has developed a new method that facilitates and improves predictions of tabular data, especially for small data sets with fewer than 10,000 data points. The new AI model TabPFN is trained on synthetically generated data before it is used and thus learns to evaluate possible causal relationships and use them for predictions.
A new artificial intelligence tool combines data from medical images with text to predict cancer prognoses and treatment responses.
In the same way that ChatGPT understands human language, a new AI model developed by computational biologists captures the language of cells to accurately predict their activities.
A new study reveals that generative Artificial Intelligence (AI) can help expedite the search for solutions to reduce enteric methane emissions caused by cows in animal agriculture, which accounts for about 33 percent of U.S. agriculture and 3 percent of total U.S. greenhouse gas emissions.
Researchers focus on enhancing the aerodynamic performance of autonomous vehicles by reducing drag induced by externally mounted sensors such as cameras and light detection and ranging instruments. After establishing an automated computational platform, they combined the experimental design with a substitute model and an optimization algorithm to improve the structural shapes of AV sensors. They then performed simulations of both the baseline and optimized models. After optimizing the design, researchers found a 3.44% decrease in the total aerodynamic drag of an AV.
In order to uncover the relationship between structure and function, researchers used microfluidic devices to study neuronal networks.
Hula hooping is so commonplace that we may overlook some interesting questions it raises: 'What keeps a hula hoop up against gravity?' and 'Are some body types better for hula hooping than others?' A team of mathematicians explored and answered these questions with findings that also point to new ways to better harness energy and improve robotic positioners.
Researchers trained a large language model to read medical charts, looking for signs that kids with ADHD received the right follow-up care when using new medications.
Researchers trained a large language model to read medical charts, looking for signs that kids with ADHD received the right follow-up care when using new medications.
Engineers have developed AI frameworks to identify evidence-driven hypotheses that could advance biologically inspired materials.

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