Early benchmarks reveal Apple’s M5 MacBook Pro delivers SSD performance that exceeds Apple’s own claims. The 2.5x speed boost over M4 models comes from refined controller technology rather than basic spec upgrades, signaling meaningful improvements for professional workflows.
OpenZFS developers have released version 2.4-rc3 with crucial adjustments for Linux kernel 6.18 compatibility. The update specifically addresses changes to the block layer’s lockless bitmap handling for software RAID setups. This maintenance release ensures continued stability for ZFS users upgrading to newer Linux kernels.
The OpenZFS project has released its third release candidate for version 2.4, featuring important workarounds for the upcoming Linux 6.18 kernel, according to reports from Phoronix. Sources indicate this maintenance release primarily addresses compatibility issues arising from changes in the Linux block layer code, specifically the implementation of a lockless bitmap for software RAID configurations.
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A groundbreaking study reveals how data bias has inflated performance metrics in drug discovery AI models. The new GEMS system and PDBbind CleanSplit dataset demonstrate superior generalization by eliminating structural redundancies that previously hampered accurate binding affinity predictions.
Researchers have uncovered significant data bias issues that have been inflating the performance metrics of artificial intelligence models used in drug discovery, according to a recent study published in Nature Machine Intelligence. Sources indicate that structural similarities between training and testing datasets have created a “data leakage” problem, allowing models to achieve artificially high performance through memorization rather than genuine understanding of protein-ligand interactions.
A groundbreaking study introduces a hybrid AI framework combining advanced feature selection with deep reinforcement learning to detect DDoS attacks in cloud environments. The approach reportedly addresses critical limitations in existing detection systems while maintaining real-time performance and interpretability. Researchers claim the method demonstrates superior accuracy and scalability across diverse network conditions.
Researchers have developed a comprehensive framework for detecting Distributed Denial of Service (DDoS) attacks in cloud environments using hybrid feature selection combined with deep reinforcement learning, according to recent reports. The methodology reportedly addresses significant gaps in existing detection systems, including limited multi-class attack categorization, insufficient scalability in distributed environments, and inadequate continuous learning capabilities.
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Initial performance testing of the upcoming Linux 6.18 kernel on Intel’s Xeon 6 Granite Rapids processors reveals notable improvements in server performance. The kernel, expected to become this year’s Long-Term Support version, demonstrates enhanced capabilities on high-end server hardware according to recent benchmarking analysis.
Early performance testing of the Linux 6.18 kernel on Intel’s forthcoming Xeon 6 Granite Rapids processors indicates significant evolution in server computing capabilities, according to reports from Phoronix. The analysis compares Linux 6.17.2 stable against the developmental Linux 6.18 Git kernel, providing insights into performance changes ahead of the kernel’s expected December debut as this year’s Long-Term Support version.
