One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...

AI breakthroughs dazzled headlines, but what’s the real story? Explore the truth behind AI’s Math Olympiad win and GPT-5’s ...

The natural protein universe is vast, and yet, going beyond and designing new proteins not observed in nature can yield new ...

The Gemini Deep Think AI model’s result in the International Mathematical Olympiad represents a huge leap in math ...

AI models capable of running efficiently on edge devices need to be reduced in size and compute considerably, while maintaining similar reliable results. This process, often referred to as model ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

Linear algebra is essential for understanding core data science concepts like machine learning, neural networks, and data transformations.D ...

This paper presents a comprehensive performance analysis of various machine learning algorithms for the prediction of thyroid disease, considering both binary and multi-class classification scenarios.

Scaler School of Technology (SST) is rapidly emerging as one of the most forward-thinking institutions for engineering ...

We present a comparative analysis of different machine learning algorithms for classifying electromyography (EMG) signals for the application of prosthetic arm development. We applied four machine ...

AI engineers are at the forefront of shaping tomorrow’s technology, building intelligent systems that power everything from chatbots to self-driving cars. This career guide breaks down seven key ...

It’s been 40 years since Back to the Future first hit the big screen—and fans are celebrating the movie’s legendary time machine: the DeLorean DMC-12. While the gull-winged vehicle is famous for its ...