In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...
Explore the recent advances in fuzzing, including the challenges and opportunities it presents for high-integrity software ...
Visualization, Dimensionality Reduction, Reproducibility, Stability, Multivariate Quantum Data, Information Retrieval ...
The Linux kernel community’s adoption of new fuzzing tools marks another important step toward a more secure and resilient ...
Tech Xplore on MSN
Compression technique makes AI models leaner and faster while they're still learning
Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...
2don MSNOpinion
AI can design and run thousands of lab experiments without human hands. Humanity isn’t ready for the new risks this brings to biology
Artificial intelligence is rapidly learning to autonomously design and run biological experiments, but the systems intended ...
Memento-Skills lets AI agents rewrite their own skills using reinforcement learning, hitting 80% task success vs. 50% for ...
Biomedical data analysis has evolved rapidly from convolutional neural network-based systems toward transformer architectures and large-scale foundation ...
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