Overall, the data shows students use Claude to create in nearly 40% of queries and analyze in 30% of queries. Both of these ...

Enhancing Microsoft CyberBattleSim for Enterprise Cybersecurity Simulations. Journal of Information Security, 16, 270-282. doi: 10.4236/jis.2025.162014 . Quantifying the effectiveness of cyber defense ...

The methods commonly used include mathematical methods [2] [3], machine learning [4] [5], and optimization algorithms ... marginalizing and classification boundary blurring in traditional SMOTE, the ...

In the digital era, Chirag Maheshwari, a researcher at the forefront of machine learning advancements, explores the evolution ...

From a tiny sample of tissue no larger than a grain of sand, scientists have come within reach of a goal once thought unattainable: building a complete functional wiring diagram of a portion of the ...

The integration of deep learning in neuroimaging enhances diagnostic capabilities, offering new insights into neurological ...

Apr. 2, 2025 — Jurassic dinosaurs milled about ancient Scottish lagoons, leaving up to 131 footprints at a newly discovered stomping ground on the Isle of Skye in ... 3D-Printed Open-Source ...

Industry standards for surface finish help define the specifications of the instruments, how they are used, the results they provide and how they can be tested for performance. 26 Feb 2025 Marathon ...

In chemical composition analysis, machine learning algorithms like SVM and RF have proven highly effective in processing complex chemical data and predicting pharmacodynamics. Compared to rule-based ...

Read all the stories you want.

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field ...