Clinical end point classification (CEC) is the gold standard for cardiovascular end point measurement in clinical trials but adds time and cost. We developed and validated an artificial intelligence ...
IO-aware batched K-Means for Apple Silicon, ported from Flash-KMeans (Triton/CUDA) to pure MLX. 500K points, 128 dimensions, K=1000 clustered in 0.76s on M3 Ultra -- 160x faster than sklearn. Uses ...
Hyrax is an extensible platform that handles much of the boilerplate code that is often required for a machine learning project in astronomy. Hyrax users are able to focus on the science work of model ...
Snowflake, Inc. engages in the provision of cloud data warehousing software. The firm offers Data Cloud, an ecosystem where Snowflake customers, partners, data providers, and data consumers can break ...
As a student in UC Berkeley's Advanced Large Language Model Agents course (Spring 2025), I'm summarizing key insights from Thomas Hubert's (Google DeepMind) lecture on AlphaProof. This system merges ...
The accurate modelling of the point spread function (PSF) is of paramount importance in astronomical observations, as it allows for the correction of distortions and blurring caused by the telescope ...
This study adopts a new approach, SHapley Additive exPlanation (SHAP), to diagnose the table tennis matches based on a hybrid algorithm, namely Long Short-Term Memory–Back Propagation Neural Network ...
No !!! There might be more than that. Note: If you know any programming language which is not there in this list, please let me know so that I can add it to the list.
With the onset of large-scale astronomical surveys capturing millions of images, there is an increasing need to develop fast and accurate deconvolution algorithms that generalize well to different ...
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