Researchers identified what they believe is the first documented case of a ransomware operation, JadePuffer, conducted ...

LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.

Background Evidence from several countries suggests increasing mental health problems among children and adolescents, raising ...

Think of tokenomics as a cloud budget for AI; it stops your team from accidentally racking up massive bills on giant prompts and oversized model responses.

Abstract: This letter proposes a change detection algorithm for damage assessment caused by fires in Ireland using Sentinel 1 data. The novelty, in this letter, is a feature extraction within tunable ...

Abstract: Texture plays a crucial role in computer vision, providing valuable information about image regions. Log Gabor filters that mimic the human eye’s visual cortex are used as feature extractors ...

To get the best possible results: The code above will automatically select a GPU if available, try to detect categorical columns in dataframes, preprocess numerical variables and regression targets ...

Disruptive Analysis of Total Neoadjuvant Therapy in Locally Advanced Rectal Cancer: Clinical and Therapeutic Distinctions Between Low- and Mid-Rectal Cancers The metabolic subtypes robustly defined in ...

Objective Early disease prediction is challenging in acute pancreatitis (AP). Here, we prospectively investigate whether the microbiome predicts severity of AP (Pancreatitis—Microbiome As Predictor of ...

Objectives Data on the incidence of symptomatic osteoarthritis (OA) are scarce. We estimated incidence of clinical hip, knee and hand OA, and studied the effect of prevalent OA on joint-specific ...

The goal of lemur is to simplify the analysis of multi-condition single-cell data. If you have collected a single-cell RNA-seq dataset with more than one condition, lemur predicts for each cell and ...