Researchers from the University of Florida, led by Sanjay Ranka, have developed a new tool aimed at improving traffic management in urban areas. The team, which includes Rahul Sengupta, Nooshin Yousefzadeh, Manav Sanghvi, Yash Ranjan, Anand Rangaraja
Florida Team’s BigSUMO Revolutionizes Urban Traffic & Energy Management Read More »
A team of researchers led by M. Berretti from the University of Rome Tor Vergata, along with colleagues from Queen’s University Belfast, University of Sheffield, and University of Ioannina, has investigated how the resolution of solar observation ins
Solar Observation Resolution: Key to Accurate Energy Insights Read More »
In the realm of energy research, understanding the behavior of complex systems is crucial for optimizing processes and improving efficiency. A team of researchers from the Max Planck Institute for Dynamics and Self-Organization in Germany has made st
Researchers Jonas Christoffer Villumsen and Yusuke Sugita from the University of Copenhagen have been exploring ways to make artificial intelligence (AI) more energy-efficient, particularly for use in mobile devices and edge machines. Their work focu
Revolutionizing AI: Energy-Efficient Binary Neural Networks for Edge Devices Read More »
Researchers Boshuai Zhao, Jakob Puchinger, and Roel Leus from the KU Leuven in Belgium have published a study on optimizing drone and modular vehicle routing for transportation services. Their work, titled “The Dial-a-Ride Problem with Synchronized V
Optimizing Drone & Modular Vehicle Routing for Efficient Transport Read More »
Researchers Mario de Lucio, Pavlos P. Vlachos, and Hector Gomez from the University of Minnesota have published a study in the Journal of Pharmaceutical Sciences that explores the effects of electric charge on the dynamics of drug transport and absor
Charged Insights: Drug Transport Breakthrough Hints at Energy Innovations Read More »
In the realm of theoretical physics and energy research, scientists are continually pushing the boundaries of our understanding of the universe and its fundamental forces. Among these researchers is Marek Rogatko, a physicist affiliated with the Univ
Physicist Unveils Breakthrough in Electric-Magnetic Spacetimes Read More »
In the realm of energy and materials science, a team of researchers from the Barcelona Supercomputing Center, led by Gianni De Fabritiis, has developed a novel machine learning tool that could significantly impact the energy industry. The team, inclu
Revolutionizing Energy Research: AceFF’s Machine Learning Breakthrough Read More »
In the realm of astrophysics and energy research, understanding the intricate properties of neutron stars can provide valuable insights into the fundamental forces and matter at extreme densities. Researchers A. C. Khunt, K. Yavuz Ekşi, and P. C. Vin
Neutron Star Insights: Anisotropy Boosts Mass, Compactness” (70 characters) Read More »
In the realm of smart city transportation, two researchers from the Indian Institute of Technology Delhi, Sonia Khetarpaul and P Y Sharan, have developed a novel approach to optimize taxi placement using advanced machine learning techniques. Their wo
IIT Delhi Researchers Revolutionize Taxi Placement with AI Read More »
