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,...
TECHXPLORE
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,...
Fabricating qubits using advanced semiconductor manufacturing processes
Quantum computers are promising computing machines that perform computations leveraging the collective properties of quantum physics states. These computers could help to tackle many computational problems that are currently intractable with conventional computers.
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 metamaterial-based clock distribution network to build large superconducting chips
Clock distribution networks, also referred to as clock trees, are techniques for distributing clock signals (from a common source) to all the electrical components in a system, ensuring that all elements in a circuit operate in a synchronized fashion. These networks...
Organic semiconductor-based nanoparticles with long-lasting reactive charges
Due to their advantageous properties, organic semiconductors could be very promising photocatalysts for producing solar fuels. In fact, these materials can be synthetically tuned to absorb visible light, while simultaneously retaining energy levels that are desirable...
Visiting the Venice Biennale exhibition remotely with the iCub3 robot
Over the past few decades, technological advances have opened new and exciting possibilities for both remote tourism and the teleoperation of robotic systems. This allowed computer scientists to develop increasingly sophisticated systems that allow humans to virtually...
Study unveils factors limiting the voltage of polycrystalline CdSeTe solar cells
So far, solar cells based on polycrystalline cadmium selenide telluride (CdSeTe) have exhibited some crucial limitations, despite their low fabrication costs and advantageous qualities. Most notably, these solar cells exhibit higher voltage losses than other mature...
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...