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The Langlands programme has inspired and befuddled mathematicians for more than 50 years. A major advance has now opened up ...
The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...
Assessing the progress of new AI language models can be as challenging as training them. Stanford researchers offer a new approach.
VC Roy Bahat on a new alliance between the American Federation of Teachers and AI companies including OpenAI aims at cracking ...
Longitudinal tracking of neuronal activity from the same cells in the developing brain using Track2p
This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...
Operating multiple trains as a group under Train-to-Train communication is an efficient way in sparse railway networks. However, it is a barrier to accurate tracking for follower trains with the ...
Generative AI is different from older AI because it creates new things, while older AI usually just sorts or analyzes stuff.
A precisely calibrated process model is required for the optical proximity correction purpose. To fit the model, a test pattern mask needs to be prepared and the lithographic experiment should be done ...
A total of 362 samples were randomly divided into a training set and a validation set in a 7:3 ratio through the random grouping function in Python (train test split). The training set, consisting of ...
Bangladesh captain Najmul Hossain Shanto was declared fit to play the second and final Test against Sri Lanka, starting tomorrow (Wednesday) in Colombo. "He will be available for the second Test," ...
Add a pyproject.toml file declaring build system requirements (setuptools and wheel) and project metadata following PEP 621. Migrate package metadata, dependencies, and entry points from setup.py to ...
Basic Training # Train with default configuration python train.py # Use different model python train.py model=deep_nn # Override parameters python train.py model.learning_rate=0.01 ...
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