Abstract: Quantum Machine Learning (QML) has emerged as a promising frontier within artificial intelligence, offering enhanced data-driven modeling through quantum-augmented representation, ...

Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...

Large language models (LLMs) can suggest hypotheses, write code and draft papers, and AI agents are automating parts of the research process. Although this can accelerate science, it also makes it ...

Kennesaw State University (KSU) is stepping into the future of workforce-ready education with the launch of a new Bachelor’s degree ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

In 1996, IBM's Deep Blue faced off against Garry Kasparov, the greatest chess mind on Earth — and changed history.

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

The research team of Weihong Tan, Xiaohong Fang, and Tao Bing from the Hangzhou Institute of Medical Sciences, Chinese Academy of Sciences, proposed a ...

Treating antiphospholipid syndrome by focusing on blood clots falls short of addressing the underlying biology driving each individual patient's disease ...

Artificial Intelligence (AI) and Machine Learning (ML) are becoming core technologies across industries. Organizations are using these technologies to improve ...

Abstract: Good datasets are essential for developing and benchmarking any machine learning system. Their importance is even more extreme for safety critical applications such as deepfake detection—the ...