In my Sex, Drugs, and Artificial Intelligence class, I have strived to take a balanced look at various topics, including ...
Machine learning-driven carrier risk modeling enables supply chains to predict and prevent pickup defects, reducing costs and improving on-time performance.
The audio version of this article is generated by AI-based technology. Mispronunciations can occur. We are working with our partners to continually review and improve the results. Highway lanes ...
[10] Chen, J., Wang, C., & Gao, Z. (2026). Infrastructure bundles and business entry: Evidence from China. Finance Research Letters, 96, 109800. https://doi.org/10. ...
In 2025, the A.I. frontier lab Anthropic mustered Claude, its large language model, for national service. Although the military-industrial complex is newly fashionable, Anthropic was not a natural fit ...
UCare meltdown leads to long hold times, medical transportation problems for patients Minnetonka-based Medica, which took over operations Jan. 1, says it has addressed long call center waits and ...
Abstract: As sensor nodes that constitute a wireless sensor network are battery-powered, it is essential to extend their life. Wireless mesh network, one type of wireless sensor network, require ...
Backdoor Defense in Transportation Cyber-Physical Systems Using Frequency Domain Hybrid Distillation
Abstract: In the context of transportation cyber-physical systems (T-CPS), backdoor attacks leveraging traffic images have emerged as a significant security threat. As T-CPS increasingly relies on ...
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