Accurate crop classification, crucial for a macro-level understanding of food production, formulating relevant agricultural policies, and predicting comprehensive agricultural productivity, enables ...

Single-cell RNA-seq AI analysis has become the default way to make sense of the millions of expression measurements a single experiment can now generate. Turning raw sequencing counts into ...

Central Sanskrit University has launched India’s first B.Tech in AI and Data Science at its Nashik campus. Approved by AICTE ...

Abstract: Smart grid (SG) engages bidirectional energy and data flow with advanced metering infrastructure (AMI) and lures attackers to exploit vulnerabilities in the critical infrastructure. Of the ...

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Microsoft Research has developed a new reinforcement learning framework that trains large language models for complex reasoning tasks at a fraction of the usual computational cost. The framework, ...

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An implementation of MNN correct in python featuring low memory usage, full multicore support and compatibility with the scanpy framework. Batch effect correction by matching mutual nearest neighbors ...

Python bindings for the DF-Louvain algorithm, a "Fast Incrementally Expanding Approach for Community Detection on Dynamic Graphs," originally implemented in C++ with OpenMP. This package allows Python ...

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...