Researchers at Purdue University and Peking University have recently carried out a study aimed at better understanding road networks in cities worldwide using machine-learning tools. Their paper, published in Nature Machine Intelligence, outlines the results of...
Machine learning & AI
A new approach to reproduce human and animal movements in robots
In recent years, developers have created a wide range of sophisticated robots that can operate in specific environments in increasingly efficient ways. The body structure of many among these systems is inspired by nature, animals, and humans.
A model to improve robots’ ability to hand over objects to humans
For decades, researchers worldwide have been trying to develop robots that can efficiently assist humans and work alongside them as they tackle a variety of everyday tasks. To do this effectively, however, the robots should be able to interact naturally with humans,...
The risks of attacks that involve poisoning training data for machine learning models
A growing number of studies suggest that machine learning algorithms can leak a considerable amount of information included in the data used to train them through their model parameters and predictions. As a result, malicious users with general access to the algorithm...
Using deep learning to predict users’ superficial judgments of human faces
Many psychology studies have confirmed the biased nature of human judgments and decision-making. When interacting with a new person, for instance, humans often make a series of automatic and superficial judgments based solely on their appearance, facial features,...
A model that can help inexperienced users identify phishing emails
Phishing attacks are cyber-attacks through which criminals trick users into sending them money and sensitive information, or into installing malware on their computer, by sending them deceptive emails or messages. As these attacks have become increasingly widespread,...
A new approach to tackle optimization problems using Boltzmann machines
Ising machines are unconventional computer architectures based on physics principles, named after the German physicist Ernst Ising. In recent years, they have been found to be particularly promising tools for solving combinatorial optimization (CO) problems and create...
A diffractive neural network that can be flexibly programmed
In recent decades, machine learning and deep learning algorithms have become increasingly advanced, so much so that they are now being introduced in a variety of real-world settings. In recent years, some computer scientists and electronics engineers have been...
A new model to automatically detect and filter spam emails
Spam emails are undesired messages that are often sent to many random users in bulks. These messages can contain advertisements, but also phishing links or malware. The automatic filtering of emails and the identification of spam messages is highly advantageous, as it...
Robotic telekinesis: Allowing humans to remotely operate and train robotic hands
Over the past few decades, computer scientists have developed increasingly advanced techniques to train and operate robots. Collectively, these methods could facilitate the integration of robotic systems in an increasingly wide range of real-world settings.