Computer Sciences

A deep learning technique to generate DNS amplification attacks

Deep learning techniques have recently proved to be highly promising for detecting cybersecurity attacks and determining their nature. Concurrently, many cybercriminals have been devising new attacks aimed at interfering ...

Robotics

AVID: a framework to enhance imitation learning in robots

In recent years, research teams worldwide have been using reinforcement learning (RL) to teach robots how to complete a variety of tasks. Training these algorithms, however, can be very challenging, as it also requires substantial ...

Robotics

REPLAB: A low-cost benchmark platform for robotic learning

Researchers at UC Berkeley have developed a reproducible, low-cost and compact benchmark platform to evaluate robotic learning approaches, which they called REPLAB. Their recent study, presented in a paper pre-published on ...

Hi Tech & Innovation

A new framework for vision-based aggressive driving

Researchers at the Institute for Robotics and Intelligent Machines (IRIM) of the Georgia Institute of Technology have recently proposed a new framework for aggressive driving using only a monocular camera, IMU sensors and ...

Hardware

Researchers develop a phase-change key for new hardware security

As more and more data are being shared and stored digitally, the number of data breaches taking place around the world is on the rise. Scientists are exploring new ways to secure and protect data from increasingly sophisticated ...

page 1 from 7