Engineers at the University of California have developed a new data structure and compression technique that enables the ...
Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...
Machine learning models reveal that histone marks are predictive of gene expression across human cell types and highlight important nuances between natural control and the effects of CRISPR-Cas9-based ...
Private CRE loan data has historically been fragmented and difficult to analyze at scale. By integrating this data directly ...
CrowdStrike's 2025 data shows attackers breach AI systems in 51 seconds. Field CISOs reveal how inference security platforms ...
Stride (LRN) stock stays a Buy: platform issues fading, enrollment/operating leverage intact, washed-out valuation plus ...
According to TII’s technical report, the hybrid approach allows Falcon H1R 7B to maintain high throughput even as response ...
Oil-Dri Corporation of America ODC continues to demonstrate resilience amid a challenging operating backdrop, outperforming both its industry peers and the broader market over the past year. While ...
Active Contour Model Driven by Non-Local Feature Fitting Energy Function With Scalable Normalization
Abstract: It is challenging for active contour models (ACMs) to segment weak-edge and noisy images efficiently and accurately. To solve this problem, a novel ACM is proposed in this work. The proposed ...
Abstract: In industrial processes, accurate, real-time soft sensor modeling of key product indices is essential for optimal process control and improved product quality. However, the nonstationary ...
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