A Scientific Reports study developed a pattern neural network that integrates total antioxidant status with clinical and ...

This article is the second installment in our three-part series, Artificial Intelligence as Intellectual Property or “AI as IP™”, which explores ...

The impact of AI on GDPR centers on the tension between AI's need for massive datasets and GDPR's principles of data ...

preventable cause in children, impacting development. Artificial intelligence (AI) offers promise for early diagnosis via otoscopic image analysis, but dataset biases and inconsistencies limit model ...

A peer-reviewed paper about Chinese startup DeepSeek's models explains their training approach but not how they work through ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...

A research team led by Dr. Jinung An of the Division of Intelligent Robotics at DGIST has developed a new AI foundation model ...

An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...

ImgEdit is a large-scale, high-quality image-editing dataset comprising 1.2 million carefully curated edit pairs, which contain both novel and complex single-turn edits, as well as challenging ...

This valuable study provides solid evidence for deficits in aversive taste learning and taste coding in a mouse model of autism spectrum disorders. Specifically, the authors found that Shank3 knockout ...

Overview: Predictive models turn historical data into reliable forecasts that support accurate planning across ...

What if AI could tell you when your diabetes might get worse—before it happens? From blood sugar trends to retinal scans, ...