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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 ...
For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...
There are hundreds of cell types in the human body, each with a specific role spelled out in their DNA. In theory, all it ...
An analysis of NeurIPS 2025 papers by startup GPTZero reveals how AI-generated citations are slipping into elite academic ...
Researchers say the innovation, known as SmartEM, will speed scanning sevenfold and open the field of connectomics to a ...
The project for which Hulsebos received the grant is called DataLibra, which runs from 2024 to 2029. Over those five years, ...
From human-centric automation to smart manufacturing, Harsh Vardhan is guiding Apollo Tyres to an intelligent, AI-powered ...
This column focuses on open-weight models from China, Liquid Foundation Models, performant lean models, and a Titan from ...
Joseph Weizenbaum realized that programs like his Eliza chatbot could "induce powerful delusional thinking in quite normal ...
Data centres are energy-hungry behemoths. Here's how Australia could promote the clean energy to support their growth.
When you think of tools for studying substance use and addiction, a social media site like Reddit, TikTok or YouTube probably isn’t the first thing that comes to mind. Yet the stories shared on social ...
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