Researchers from NVIDIA, Aalto University, and MIT have developed an AI algorithm, first of its kind, that can remove noise and artifacts from images without having to look at clean photos in advance.
A person's fingers leave thermal residue on keyboard keys that a malicious observer could record and later determine the text a user has entered on the keyboard, according to a recently published research paper by three scientists from the University of California, Irvine (UCI).
Scientists from the University of Wisconsin-Madison (UWM) have developed a new type of material that can hide an object's heat signature from infrared sensors.
Nvidia scientists have created what they call a "first of its kind" AI system that can learn by observing the actions of a human, and then complete tasks based on the observed patterns.
Google Research engineers have developed a deep learning system that can separate voices from audio-visual data recorded in crowded environments.
Research published earlier today by a group of scientists from Israel with a prodigious history of extravagant and extraordinary hacks reveal that an attacker can steal data from air-gapped devices protected by Faraday cages.
Professors from universities in China and the US are warning about the impending danger of "transduction attacks" on sensors deployed with everyday devices.
Deep convolutional neural networks (CNN) have become a popular tool for image generation and restoration, with a few algorithms released in the last months of 2017 that achieve spectacular results when it comes to recovering and reconstructing corrupted or low-quality images.
Japanese scientists have discovered a new polymer glass that can heal itself and could be used as screen material for smartphones, TVs, PCs, laptops, tablets, and other electronics equipment.
Advances in artificial intelligence are coming fast and furious these days, and one of the most impressive is an AI bot created by Nvidia researchers that can generate images of random and extremely realistic human faces.
Rutgers engineers have created a new type of user authentication system that relies on transmitting vibrations through a surface and having the user touch the surface to generate a unique signature. This signature is then used to approve or deny a user access to an app, room, or building.
A team of eleven scientists from UCLA and the University of Connecticut has created a new energy-storing device that can draw electrical power from the human body.
A team of researchers from the Tandon School of Engineering at the New York University has created a method of generating fake digital fingerprints capable of unlocking random smartphones.
Scientists have developed a new type of material that could be used in the future to create self-healing electronics, such as smartphones, batteries, speakers, robotics, and others.
Scientists from the Hong Kong Baptist University (HKBU) have developed a new user authentication system that relies on reading lip motions while the user speaks a password out loud.
Lab tests carried out by Dutch scientists have shown that some of today's "smart" electrical meters may give out false readings that in some cases can be 582% higher than actual energy consumption.
A report published in the Conservation Biology magazine cites several incidents gathered from all over the world in the past years, where technologies introduced to simplify the work of animal protection groups and state authorities have been hijacked or turned against the animals they were meant to protect.
Scientists from the Data Science Institute at Columbia University and the New York Genome Center (NYGC) published new research this week detailing a new data storage technique that leverages DNA molecules to store digital information.
Researchers from Vanderbilt University have discovered that they can use a combination of common metals found in scrapyards and every household to create fully-working batteries that provide decent voltage and last through thousands of recharging cycles.