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 ...

Abstract: Music has the profound ability to evoke a wide spectrum of emotions, from joy and excitement to sadness and melancholy. A vital field of study with uses in advertising, film soundtracks, ...

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

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 ...

Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision ...

From GPT to Claude to Gemini, model names change fast, but use cases matter more. Here's how I choose the best model for the ...

Overview: Predictive models turn historical data into reliable forecasts that support accurate planning across industries.Different modeling types solve differe ...

The CytoDiffusion classifier analyses the shape and structure of blood cells to detect abnormalities that may indicate blood ...

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

A key challenge arises from agricultural data itself. Crop environments are highly variable, influenced by local climate, ...