Work
Producing dissipative coupling in hybrid quantum systems
PULP Dronet: A 27-gram nano-UAV inspired by insects
Researchers at ETH Zürich and the University of Bologna have recently created PULP Dronet, a 27-gram nano-size unmanned aerial vehicle (UAV) with a deep learning-based visual navigation engine....
PuzzleFlex: Computing the kinematic motion of systems with loose joints
Small motions between individual parts in jigsaw puzzles, LEGO buildings, human backbones and systems of connectable modular robots can allow flexing of their entire structures. A team of...
Randpay: a technology for blockchain micropayments that requires a recipient’s consent
Two researchers at Emercoin, a decentralized peer-to-peer (p2p) network providing secure blockchain business services, have recently developed a new technology called Randpay that only allows users...
Relating sentence representations in deep neural networks with those encoded by the brain
Researchers at the Indian Institute of Science (IISc) and Carnegie Mellon University (CMU) have recently carried out a study exploring the relationship between sentence representations acquired by...
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...
ROBOSHERLOCK: a system to enhance robot performance on manipulation tasks
Over the past decade or so, advancements in machine learning have enabled the development of systems that are increasingly autonomous, including self-driving vehicles, virtual assistants and mobile...
A vision for the creation of 6G communications
Now that the standardization of fifth-generation (5G) communications has been accomplished, with the 5G network set to be launched this year, researchers have already started thinking about what a...
Selecting the best features for phishing attack detection algorithms
In recent decades, phishing attacks have become increasingly common. These attacks allow attackers to obtain sensitive user data, such as passwords, usernames, credit card details, etc., by tricking...
SentiArt: a sentiment analysis tool for profiling characters from world literature texts
Arthur Jacobs, a professor and researcher at Freie Universität Berlin, has recently developed SentiArt, a new machine learning technique to carry out sentiment analyses of literary texts, as well as...