A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...
Abstract: Quantum Machine Learning (QML) has emerged as a promising frontier within artificial intelligence, offering enhanced data-driven modeling through quantum-augmented representation, ...
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 ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
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 ...
So Unsloth supports QAT via torchao. But the nature of the quantization seems different from torchao's "simulated fake quantization" during training. Ideally we want to simulate the same exact same ...
Abstract: The proliferation of autonomous vehicles (AVs) requires advanced network infrastructures capable of handling large volumes of data with minimal latency. This paper explores the deployment of ...
Engineers studying drone combat at one of China’s top military-linked universities needed a way to simulate clashes between drone swarms in real time. They turned to nature for inspiration. Observing ...
SHARJAH, 19th January, 2026 (WAM) -- Sharjah Research, Technology and Innovation Park (SPARK) has signed a Strategic Partnership Agreement with the Global Centre for AI Excellence (GCAIE), a leading ...
zenml_classifier/ ├── README.md # This file ├── pyproject.toml # Project configuration & dependencies ├── requirements.txt # Python package dependencies │ ├── pipeline.py # Main ZenML orchestration ...
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