New TMS biomarkers combined with machine learning accurately classified major depressive disorder. Learn more about this ...
One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...
The “one big breakthrough” pattern suggests that total citation counts can mislead. A researcher with one highly-cited paper ...
An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings Accurate land use/land cover (LULC) classification remains a persistent ...
Modern compute-heavy projects place demands on infrastructure that standard servers cannot satisfy. Artificial intelligence ...
First, the AI investment cycle has transitioned from a narrative into a tangible capex super-cycle. Not only has it driven a ...
AI transcription tools promise efficiency but bring legal exposure, surveillance risks, and threats to fundamental rights.
The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
Tech Xplore on MSN
Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...
Spinal metastasis, the spread of cancer to the spine, is a frequent complication in advanced cancer. It often causes severe ...
The Brighterside of News on MSNOpinion
Machine-learning analysis reclassifies armed conflicts into three new archetypes
There is often no straightforward explanation for the various types of violence that occur around the world. In fact, even ...
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