After years of dedicated research a group of pioneering scientists led by Nobel Laureate Andre Geim have again revealed a phenomenon that is 'radically different from textbook physics' and this work has led to the discovery and characterisation of a new family of quasiparticles found in graphene-based materials. Called Brown-Zak fermions these extraordinary particles have the potential to achieve the Holy Grail of 2D materials by having ultra-high frequency transistors which can in turn produce a new generation of superfast electronic devices.
The SARS-CoV-1 coronavirus pandemic has left a significant footprint on the global economy. For this reason, it had a substantial impact on the behaviour of all financial instruments, including cryptocurrencies. It turns out that the fluctuations experienced by the virtual currency market during this period reflect changes in other capital and commodity markets. This market has also shown relative stability during this difficult time. It is another proof that cryptocurrencies can be treated as a mature and full-fledged financial instrument.
A major technical challenge for any practical, real-world quantum computer comes from the need for a large number of physical qubits to deal with errors that accumulate during computation. Such quantum error correction is resource-intensive and computationally time-consuming. But researchers have found an effective software method that enables significant compression of quantum circuits, relaxing the demands placed on hardware development.
In order for robots to be able to achieve more than simple automated machines in the future, they must not only have their own "brain". Empa researchers postulate that artificial intelligence must be expanded to include the capabilities of a Physical Artificial Intelligence, PAI. This will redefine the field of robotics and the relationship between man and machine.
The Japanese research team elucidated the microscopic mechanism in which amorphous silica becomes negatively charged as a vibrational energy harvester, which is anticipated to achieve self-power generation without charging, as it is needed for IoT that is garnering attention in recent years with its 'trillion sensors' that create a large-scale network of sensors. Unlike wind power and solar power generation, vibrational power generation, which utilizes natural vibration for power generation, is not affected by weather.
Autonomous functions for robots, such as spontaneity, are highly sought after. Many control mechanisms for autonomous robots are inspired by the functions of animals, including humans. Roboticists often design robot behaviors using predefined modules and control methodologies, which makes them task-specific, limiting their flexibility. Researchers offer an alternative machine learning-based method for designing spontaneous behaviors by capitalizing on complex temporal patterns, like neural activities of animal brains. They hope to see their design implemented in robotic platforms to improve their autonomous capabilities.
The study merges demographic data, epidemiological estimates and anonymous cellphone location information, and appears to confirm that most COVID-19 transmissions occur at "superspreader" sites like full-service restaurants, fitness centers and cafes, where people remain in close quarters for extended periods. The model could help officials minimize the contagion as they reopen businesses by revealing the tradeoffs between infections and sales if establishments open at 20 percent or 50 percent or full capacity.
A continuous data supply ensures data-intensive simulations can run at maximum speed.
Researchers from the University of Bristol's Quantum Engineering Technology Labs (QET Labs) and Université Côte d'Azur have made a new miniaturized light detector to measure quantum features of light in more detail than ever before. The device, made from two silicon chips working together, was used to measure the unique properties of "squeezed" quantum light at record high speeds.
Borrowing a page from high-energy physics and astronomy textbooks, a team of physicists and computer scientists at Berkeley Lab has successfully adapted and applied a common error-reduction technique to the field of quantum computing.