Research team introduced CHASER, an incentive mechanism for blockchain-based EMCS systems. It ensures budget balance, truthfulness, rationality, and high social welfare. Simulations show a 42% increase in social welfare and high task completion rates.

This study focused on exploring the distribution patterns, driving factors and microbial interaction patterns of methane-metabolizing microorganisms along the sedimentation gradient in the Yellow River estuary.

Researchers have demonstrated a novel approach to generating terahertz (THz) radiation using N-polar AlGaN/GaN high-electron-mobility transistors (HEMTs) under asymmetric boundary conditions. This groundbreaking work offers new insights into the design of high-power on-chip THz sources, essential for next-generation technologies such as 6G communications, non-invasive imaging, and biological monitoring.

Research team presented FairAT, a novel fair adversarial training algorithm. It improves robustness of hard classes by augmenting hard examples dynamically, outperforming state-of-the-art methods in robustness and fairness.

The team led by Associate Professor Mario Lanza from the Department of Materials Science and Engineering in the College of Design and Engineering at the National University of Singapore, has just revolutionised the field of neuromorphic computing by inventing a new super-efficient computing cell that can mimic the behaviour of both electronic neurons and synapses. They found an ingenious way to reproduce the electronic behaviours characteristic of neurons and synapses in a single conventional silicon transistor.

This discovery is revolutionary because it allows the size of electronic neurons to be reduced by a factor of 18 and that of synapses by a factor of 6. Considering that each artificial neural network contains millions of electronic neurons and synapses, this could represent a huge leap forward in computing systems capable of processing much more information while consuming far less energy.

How gravity causes a perfectly spherical ball to roll down an inclined plane is part of elementary school physics canon. But the world is messier than a textbook.   

Scientists in the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) have sought to quantitatively describe the much more complex rolling physics of real-world objects. Led by Professor L. Mahadevan, they combined theory, simulations, and experiments to understand what happens when an imperfect, spherical object is placed on an inclined plane.