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Categories: Computer Science: Artificial Intelligence (AI), Physics: Quantum Computing
Published Robot ANYmal can do parkour and walk across rubble



The quadrupedal robot ANYmal went back to school and has learned a lot. Researchers used machine learning to teach it new skills: the robot can now climb over obstacles and successfully negotiate pitfalls.
Published Scientists use novel technique to create new energy-efficient microelectronic device



Researchers have created a new material that uses 'redox gating' to control the movement of electrons in and out of a semiconducting material.
Published Staying in the loop: How superconductors are helping computers 'remember'



To advance neuromorphic computing, some researchers are looking at analog improvements -- advancing not just software, but hardware too. Research shows a promising new way to store and transmit information using disordered superconducting loops.
Published Satellites for quantum communications



Through steady advances in the development of quantum computers and their ever-improving performance, it will be possible in the future to crack our current encryption processes. To address this challenge, researchers are developing encryption methods that will apply physical laws to prevent the interception of messages. To safeguard communications over long distances, the QUICK space mission will deploy satellites.
Published Powerful new tool ushers in new era of quantum materials research



Research in quantum materials is paving the way for groundbreaking discoveries and is poised to drive technological advancements that will redefine the landscapes of industries like mining, energy, transportation, and medtech. A technique called time- and angle-resolved photoemission spectroscopy (TR-ARPES) has emerged as a powerful tool, allowing researchers to explore the equilibrium and dynamical properties of quantum materials via light-matter interaction.
Published How do neural networks learn? A mathematical formula explains how they detect relevant patterns



Neural networks have been powering breakthroughs in artificial intelligence, including the large language models that are now being used in a wide range of applications, from finance, to human resources to healthcare. But these networks remain a black box whose inner workings engineers and scientists struggle to understand. Now, a team has given neural networks the equivalent of an X-ray to uncover how they actually learn.
Published Robotic interface masters a soft touch



Researchers have developed a haptic device capable of reproducing the softness of various materials, from a marshmallow to a beating heart, overcoming a deceptively complex challenge that has previously eluded roboticists.
Published Design rules and synthesis of quantum memory candidates



In the quest to develop quantum computers and networks, there are many components that are fundamentally different than those used today. Like a modern computer, each of these components has different constraints. However, it is currently unclear what materials can be used to construct those components for the transmission and storage of quantum information.
Published Going top shelf with AI to better track hockey data



Researchers got a valuable assist from artificial intelligence (AI) tools to help capture and analyze data from professional hockey games faster and more accurately than ever before, with big implications for the business of sports.
Published The role of machine learning and computer vision in Imageomics



A new field promises to usher in a new era of using machine learning and computer vision to tackle small and large-scale questions about the biology of organisms around the globe.
Published Method rapidly verifies that a robot will avoid collisions



A new safety-check technique can prove with 100 percent accuracy that a planned robot motion will not result in a collision. The method can generate a proof in seconds and does so in a way that can be easily verified by a human.
Published Researchers develop new machine learning method for modeling of chemical reactions



Researchers have used machine learning to create a model that simulates reactive processes in organic materials and conditions.
Published Making quantum bits fly



Physicists are developing a method that could enable the stable exchange of information in quantum computers. In the leading role: photons that make quantum bits 'fly'.
Published AI can speed design of health software



Artificial intelligence helped clinicians to accelerate the design of diabetes prevention software, a new study finds.
Published New method measures the 3D position of individual atoms



Since more than a decade it has been possible for physicists to accurately measure the location of individual atoms to a precision of smaller than one thousandth of a millimeter using a special type of microscope. However, this method has so far only provided the x and y coordinates. Information on the vertical position of the atom -- i.e., the distance between the atom and the microscope objective -- is lacking. A new method has now been developed that can determine all three spatial coordinates of an atom with one single image.
Published Shortcut to Success: Toward fast and robust quantum control through accelerating adiabatic passage



Researchers achieved the acceleration of adiabatic evolution of a single spin qubit in gate-defined quantum dots. After the pulse optimization to suppress quasistatic noises, the spin flip fidelity can be as high as 97.5% in GaAs quantum dots. This work may be useful to achieve fast and high-fidelity quantum computing.
Published New dressing robot can 'mimic' the actions of care-workers



Scientists have developed a new robot that can 'mimic' the two-handed movements of care-workers as they dress an individual.
Published Network of quantum sensors boosts precision



Quantum sensor technology promises even more precise measurements of physical quantities. A team has now compared the signals of up to 91 quantum sensors with each other and thus successfully eliminated the noise caused by interactions with the environment. Correlation spectroscopy can be used to increase the precision of sensor networks.
Published AI-enabled atomic robotic probe to advance quantum material manufacturing



Scientists have pioneered a new methodology of fabricating carbon-based quantum materials at the atomic scale by integrating scanning probe microscopy techniques and deep neural networks. This breakthrough highlights the potential of implementing artificial intelligence at the sub-angstrom scale for enhanced control over atomic manufacturing, benefiting both fundamental research and future applications.
Published Scientists make nanoparticles dance to unravel quantum limits



The question of where the boundary between classical and quantum physics lies is one of the longest-standing pursuits of modern scientific research and in new research, scientists demonstrate a novel platform that could help us find an answer.