Security
As the use of machine learning (ML) algorithms continues to grow, computer scientists worldwide are constantly trying to identify and address ways in which these algorithms could be used maliciously or inappropriately. Due ...
Computer Sciences
Network science is the study of physical, biological, social and other phenomena through the creation of network representations. These representations can sometimes offer very valuable insight, unveiling interesting patterns ...
Robotics
To tackle different real-world tasks, robots should be able to handle and manipulate a variety of objects and materials, including paper. While roboticists have successfully improved the ability of humanoid robots or robotic ...
Hi Tech & Innovation
In recent years, many computer scientists have been exploring the notion of metaverse, an online space in which users can access different virtual environments and immersive experiences, using VR and AR headsets. While navigating ...
Computer Sciences
Generative adversarial networks (GANs), a class of machine learning frameworks that can generate new texts, images, videos, and voice recordings, have been found to be highly valuable for tackling numerous real-world problems. ...
Energy & Green Tech
Perovskites, mineral materials composed of calcium titanate, have been found to be valuable for the fabrication of high-performance solar cells. While teams of scientists and engineers worldwide have been developing and testing ...
Electronics & Semiconductors
Photodetectors, sensors that can detect light or other forms of electromagnetic radiation, are essential components of imaging tools, communication systems, and various other technologies on the market. These sensors work ...
Robotics
In recent years, roboticists and computer scientists have been developing a wide range of systems that can detect objects in their environment and navigate it accordingly. Most of these systems are based on machine learning ...
Computer Sciences
Developing methods to accurately reconstruct spatial fields using data collected by sparse sensors has been a long-standing challenge in both physics and computer science. Ultimately, such methods could significantly aid ...
Machine learning & AI
A common truism among statisticians is that "the data don't lie." However, recent findings by Italian researchers may make those who study data think twice before making such assumptions.
