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Categories: Computer Science: General, Mathematics: General
Published Complex oxides could power the computers of the future


Materials scientists describe in two papers how complex oxides can be used to create very energy-efficient magneto-electric spin-orbit (MESO) devices and memristive devices with reduced dimensions.
Published Phone-based measurements provide fast, accurate information about the health of forests


Researchers have developed an algorithm that uses computer vision techniques to accurately measure trees almost five times faster than traditional, manual methods.
Published Integrating humans with AI in structural design


A new design process that uses generative design but also seeks feedback from humans is more effective at producing designs that are fully optimized for their purpose.
Published Stick to your lane: Hidden order in chaotic crowds


Mathematical research brings new understanding of crowd formation and behavior.
Published Think you're good at math? Study shows it may be because you had equitable math teachers


A new study finds that high school students identify more with math if they see their math teacher treating everyone in the class equitably, especially in racially diverse schools. While the relationship between teacher equity and math identity was evident across races, there was an interesting exception. Black students, in general, had strong math identities, regardless of their teacher's actions. Learning about the factors that affect student math identity is important because a student's attitude towards the subject influences the courses that they take as well as their future career selections. This study suggests that teachers may have a larger role to play in helping students develop a positive math identity than previously recognized.
Published Artificial Intelligence from a psychologist's point of view


Researchers test cognitive abilities of the language model GPT-3.
Published Will future computers run on human brain cells?


A 'biocomputer' powered by human brain cells could be developed within our lifetime, according to researchers who expect such technology to exponentially expand the capabilities of modern computing and create novel fields of study.
Published New material may offer key to solving quantum computing issue


A new form of heterostructure of layered two-dimensional (2D) materials may enable quantum computing to overcome key barriers to its widespread application, according to an international team of researchers.
Published Reaching like an octopus: A biology-inspired model opens the door to soft robot control


Octopus arms coordinate nearly infinite degrees of freedom to perform complex movements such as reaching, grasping, fetching, crawling, and swimming. How these animals achieve such a wide range of activities remains a source of mystery, amazement, and inspiration. Part of the challenge comes from the intricate organization and biomechanics of the internal muscles.
Published A new chip for decoding data transmissions demonstrates record-breaking energy efficiency


A new chip called ORBGRAND can decode any code applied to data transmitted over the internet with maximum accuracy and between 10 and 100 times more energy efficiency than other methods.
Published Theory can sort order from chaos in complex quantum systems


Theoretical chemists have developed a theory that can predict the threshold at which quantum dynamics switches from 'orderly' to 'random,' as shown through research using large-scale computations on photosynthesis models.
Published New technology turns smartphones into RFID readers, saving costs and reducing waste


Imagine you can open your fridge, open an app on your phone and immediately know which items are expiring within a few days. This is one of the applications that a new technology would enable.
Published Improving the performance of satellites in low Earth orbit


On-chip distributed radiation sensors and current-sharing techniques can be used to reduce the impact of radiation on the radio and power consumption of small satellites, respectively. New findings can be used to make small satellites more robust, which can increase the connectivity of networks across the globe.
Published The switch made from a single molecule


Researchers have demonstrated a switch, analogous to a transistor, made from a single molecule called fullerene. By using a carefully tuned laser pulse, the researchers are able to use fullerene to switch the path of an incoming electron in a predictable way. This switching process can be three to six orders of magnitude faster than switches in microchips, depending on the laser pulses used. Fullerene switches in a network could produce a computer beyond what is possible with electronic transistors, and they could also lead to unprecedented levels of resolution in microscopic imaging devices.
Published AI analyzes cell movement under the microscope


Using artificial intelligence (AI), researchers can now follow cell movement across time and space. The method could be very helpful for developing more effective cancer medications.
Published Proposed quantum device may succinctly realize emergent particles such as the Fibonacci anyon


Tenacity has taken a roadblock and turned it into a possible route to the development of quantum computing.
Published Securing supply chains with quantum computing


New research in quantum computing is moving science closer to being able to overcome supply-chain challenges and restore global security during future periods of unrest.
Published When the light is neither 'on' nor 'off' in the nanoworld


Scientists detect the quantum properties of collective optical-electronic oscillations on the nanoscale. The results could contribute to the development of novel computer chips.
Published Smash or pass? This computer can tell


Could an app tell if a first date is just not that into you? Engineers say the technology might not be far off. They trained a computer to identify the type of conversation two people were having based on their physiological responses alone.
Published Scientific AI's 'black box' is no match for 200-year-old method


A new study finds that a 200-year-old technique called Fourier analysis can reveal crucial information about how the form of artificial intelligence called deep neural networks (DNN) learn to perform tasks involving complex physics. Researchers discovered the technique can directly connect what a DNN has learned to the physics of the complex system the DNN is modeling.