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EurekAlert!5d
Are state-of-the-art deep learning traffic prediction models truly effective?
Accurate and efficient traffic speed prediction is crucial for improving road safety and efficiency. With the emerging deep ...
Tech Xplore on MSN5d
Researchers use multidimensional data mining for obstacle avoidance system in autonomous vehicles
A new data-driven technique for obstacle avoidance in autonomous vehicles is reported in the International Journal of Vehicle ...
EurekAlert!5d
DFUN-KDF: A knowledge distillation-based decentralized federated learning framework for uav network optimization
Researchers from Sun Yat-sen University’s Shenzhen Campus, led by WenYuan Yang and Gege Jianga, have developed a decentralized federated learning framework, DFUN-KDF, to enhance UAV network efficiency ...
Department of Computer Science - University of Texas at Austin3d
Daehyeok Kim Wins National Research Award for Advancing Cloud Hardware Efficiency
Kim’s NSF CAREER Award builds on a growing portfolio of federal and industry support, including a 2024 NSF NeTS grant ($1.08 M), significant equipment gifts from AMD, and a $25,000 Catalyst Grant from ...
Frontiers5d
AI-Driven Edge Intelligence and Multi-Agent Systems for Smart Mobility and Autonomous Transportation
Emerging technologies such as edge computing, AI, and distributed learning have reshaped the design of cyber-physical ...