When it comes to powering aircraft, jet engines need dense, energy-packed fuels. Right now, nearly all of that fuel comes ...

Abstract: To tackle the challenge of data diversity in sentiment analysis and improve the accuracy and generalization ability of sentiment analysis, this study first cleans, denoises, and standardizes ...

Artificial intelligence and machine learning have transformed how we process information, make decisions, and solve complex problems. Behind every ...

Abstract: Fingerprint recognition has become an invaluable and rapidly advancing technology that plays a crucial role in various daily applications. From identity authentications to justice systems, ...

Google’s artificial intelligence research laboratory where AlphaFold was developed—has officially released a new machine ...

Matlantis CSP has already produced early results across multiple systems—oxides, alloys, and phosphides—discovering more than 10 previously unknown stable crystals. In the Ga–Au–Ca system, it ...

Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...

University of Virginia School of Data Science researcher Heman Shakeri has been awarded a major new research grant to lead work at the intersection of machine learning and diabetes care.

The full whitepaper is available for download here.

Quantum computing and its threat to current encryption and the unknown threat of powerful quantum automated by advanced AI.

Researchers demonstrate that misleading text in the real-world environment can hijack the decision-making of embodied AI systems without hacking their software. Self-driving cars, autonomous robots ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...