Today, PKC forms the foundation for e-commerce, allowing more than US$1 trillion per day in foreign exchange transactions in North America alone. 10 This technology also allows electronic banking, ...
The commonly used RSA encryption algorithm can now be cracked by a quantum computer with only 100,000 qubits, but the technical challenges to building such a machine remain numerous ...
Introduction Envision our digital world as a sprawling universe filled with glittering constellations of encrypted data, each packet of information ...
The collaboration of TU Wien with research groups in China has resulted in a crucial building block for a new kind of quantum computer: The realization of a novel type of quantum logic gate makes it ...
Abstract: In order to improve the grasping accuracy of parts with small size, this paper designs a computer vision grasping system based on improved SSD algorithm by analyzing the grasping process of ...
A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account the laws of physics—using Newton's third law. Their research is published ...
Researchers at the University of British Columbia Okanagan have published a mathematical argument that, they say, rules out ...
AI optimists envision a future where artificial general intelligence (AGI) surpasses human intelligence, but the path remains riddled with scientific and logistical hurdles.
One example involved a system built by a summer intern for his own project work. The tool geolocates devices within a drawing set and links them to a digital twin of the facility. Instead of searching ...
Your brain calculates complex physics every day and you don't even notice. This neuromorphic chip taps into the same idea.
Why Rangan supports her son to pursue Computer Science knowing the uncertainty of the tech world. Yamini Rangan knows better than most that the rules of tech are being rewritten in real time. She runs ...
Abstract: Traditional decision support systems (DSS) show obvious limitations in dealing with increasingly complex and dynamic decision-making scenarios. By integrating graph neural networks (GNNs) ...