Carnegie Mellon University CyLab Security and Privacy InstituteCarnegie Mellon University's Yang Cai and colleagues have designed a method of making abnormal network traffic audible by rendering cybersecurity data musically. The researchers explored several sound mapping algorithms, converting numeral datasets into music with diverse melodies, harmonies, time signatures, and tempos. They produced music using network traffic data from an actual malware distribution network, and presented it to […]

EPFL (Switzerland)Researchers at the Swiss Federal Institute of Technology Lausanne (EPFL) in Switzerland and Columbia University have developed a method of using a traditional computer to simulate the Quantum Approximate Optimization Algorithm (QAOA). The approach employs a classical machine learning algorithm that acts like near-term quantum computers. The researchers used an artificial neural network previously co-developed by EPFL's Giuseppe Carleo to simulate QAOA, which is considered a […]

Lawrence Livermore National LaboratoryLawrence Livermore National Laboratory (LLNL) scientists three-dimensionally (3D) printed carbon flow-through electrodes (FTEs) for electrochemical reactors from graphene aerogels. The researchers demonstrated the ability to customize FTE flows and drastically enhance reactant transfer from electrodes onto reactive surfaces, optimizing electrochemical reactions. Said LLNL's Swetha Chandrasekaran, "By 3D-printing advanced materials such as carbon aerogels, […]

GeekWireA multi-institutional team of neuroscientists spent five years and $100 million developing a high-resolution model detailing the connections between 200,000 mouse brain cells. Created under the federally-funded Machine Intelligence From Cortical Networks (MICrONS) program, the dataset encompasses 120,000 neurons and about 80,000 other types of brain cells in a cubic millimeter of a mouse brain's visual neocortex. The researchers recorded neural activity patterns as the mouse watched […]

The Wall Street JournalThe U.S. Census Bureau will use a complex algorithm to adjust 2020 Census statistics to prevent the data from being recombined to disclose information about individual respondents. The bureau's Ron Jarmin said it will use differential privacy, an approach it has long employed in some fashion, which involves adding statistical noise to data. Small random numbers, both positive and negative, will be used to adjust most of the Census totals, with inconsistent subtotals […]