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Categories: Computer Science: Artificial Intelligence (AI), Mathematics: Modeling
Published How a horse whisperer can help engineers build better robots
(via sciencedaily.com) Original source New research shows us that age-old interactions between people and their horses can teach us something about building robots designed to improve our lives.
Published Jellyfish-like robots could one day clean up the world's oceans
(via sciencedaily.com) Original source Roboticists have developed a jellyfish-inspired underwater robot with which they hope one day to collect waste from the bottom of the ocean. The almost noise-free prototype can trap objects underneath its body without physical contact, thereby enabling safe interactions in delicate environments such as coral reefs. Jellyfish-Bot could become an important tool for environmental remediation.
Published Creating a tsunami early warning system using artificial intelligence
(via sciencedaily.com) Original source Researchers develop an early warning system that combines acoustic technology with AI to immediately classify earthquakes and determine potential tsunami risk. They propose using underwater microphones, called hydrophones, to measure the acoustic radiation produced by the earthquake, which carries information about the tectonic event and travels significantly faster than tsunami waves. The computational model triangulates the source of the earthquake and AI algorithms classify its slip type and magnitude. It then calculates important properties like effective length and width, uplift speed, and duration, which dictate the size of the tsunami.
Published Scientists have full state of a quantum liquid down cold
(via sciencedaily.com) Original source A team of physicists has illuminated certain properties of quantum systems by observing how their fluctuations spread over time. The research offers an intricate understanding of a complex phenomenon that is foundational to quantum computing.
Published Researchers use AI to discover new planet outside solar system
(via sciencedaily.com) Original source A research team has confirmed evidence of a previously unknown planet outside of our solar system, and they used machine learning tools to detect it. A recent study by the team showed that machine learning can correctly determine if an exoplanet is present by looking in protoplanetary disks, the gas around newly formed stars. The newly published findings represent a first step toward using machine learning to identify previously overlooked exoplanets.
Published ChatGPT is still no match for humans when it comes to accounting
(via sciencedaily.com) Original source ChatGPT faced off against students on accounting assessments. Students scored an overall average of 76.7%, compared to ChatGPT's score of 47.4%. On a 11.3% of questions, ChatGPT scored higher than the student average, doing particularly well on AIS and auditing. But the AI bot did worse on tax, financial, and managerial assessments, possibly because ChatGPT struggled with the mathematical processes required for the latter type.
Published AI system can generate novel proteins that meet structural design targets
(via sciencedaily.com) Original source A new machine-learning system can generate protein designs with certain structural features, and which do not exist in nature. These proteins could be utilized to make materials that have similar mechanical properties to existing materials, like polymers, but which would have a much smaller carbon footprint.
Published Two qudits fully entangled
(via sciencedaily.com) Original source Recently quantum computers started to work with more than just the zeros and ones we know from classical computers. Now a team demonstrates a way to efficiently create entanglement of such high-dimensional systems to enable more powerful calculations.
Published Quantum liquid becomes solid when heated
(via sciencedaily.com) Original source Solids can be melted by heating, but in the quantum world it can also be the other way around: An experimental team has shown how a quantum liquid forms supersolid structures by heating. The scientists obtained a first phase diagram for a supersolid at finite temperature.
Published Team designs four-legged robotic system that can walk a balance beam
(via sciencedaily.com) Original source Researchers have designed a system that makes an off-the-shelf quadruped robot nimble enough to walk a narrow balance beam -- a feat that is likely the first of its kind.
Published A neuromorphic visual sensor can recognize moving objects and predict their path
(via sciencedaily.com) Original source The new smart sensor uses embedded information to detect motion in a single video frame.
Published Multi-compartment membranes for multicellular robots: Everybody needs some body
(via sciencedaily.com) Original source We typically think of robots as metal objects, filled with motors and circuits. But the field of molecular robotics is starting to change that. Like the formation of complex living organisms, molecular robots derive their form and functionality from assembled molecules stored in a single unit, i.e., a body. Yet manufacturing this body at the microscopic level is an engineering nightmare. Now, a team has created a simple workaround.
Published Research in Japan shows the way toward tactile and proximity sensing in large soft robots
(via sciencedaily.com) Original source To make human-robot interactions safer and more fruitful, robots should be capable of sensing their environment. In a recent study, researchers developed a novel robotic link with tactile and proximity sensing capabilities. Additionally, they created a simulation and learning framework that can be employed to train the robotic link to sense its environment. Their findings will pave the way to a future where humans and robots can operate harmoniously in close proximity.
Published It's all in the wrist: Energy-efficient robot hand learns how not to drop the ball
(via sciencedaily.com) Original source Researchers have designed a low-cost, energy-efficient robotic hand that can grasp a range of objects -- and not drop them -- using just the movement of its wrist and the feeling in its 'skin'.
Published Table tennis brain teaser: Playing against robots makes our brains work harder
(via sciencedaily.com) Original source Brain scans taken during table tennis reveal differences in how we respond to human versus machine opponents.
Published Kids judge Alexa smarter than Roomba, but say both deserve kindness
(via sciencedaily.com) Original source Most kids know it's wrong to yell or hit someone, but what if that someone is a robot named Alexa? A new study asked kids how smart and sensitive they thought the virtual assistant was compared to a robotic vacuum. Four- to eleven-year-olds rated Alexa as more intelligent than the Roomba but felt neither deserve to be yelled at or otherwise harmed.
Published New atomic-scale understanding of catalysis could unlock massive energy savings
(via sciencedaily.com) Original source In an advance they consider a breakthrough in computational chemistry research, chemical engineers have developed a model of how catalytic reactions work at the atomic scale. This understanding could allow engineers and chemists to develop more efficient catalysts and tune industrial processes -- potentially with enormous energy savings, given that 90% of the products we encounter in our lives are produced, at least partially, via catalysis.
Published AI-equipped eyeglasses read silent speech
(via sciencedaily.com) Original source Researchers have developed a silent-speech recognition interface that uses acoustic-sensing and artificial intelligence to continuously recognize up to 31 unvocalized commands, based on lip and mouth movements.
Published Random matrix theory approaches the mystery of the neutrino mass
(via sciencedaily.com) Original source Scientists analyzed each element of the neutrino mass matrix belonging to leptons and showed theoretically that the intergenerational mixing of lepton flavors is large. Furthermore, by using the mathematics of random matrix theory, the research team was able to demonstrate, as much as is possible at this stage, why the calculation of the squared difference of the neutrino masses are in close agreement with the experimental results in the case of the seesaw model with the random Dirac and Majorana matrices. The results of this research are expected to contribute to the further development of particle theory research, which largely remains a mystery.
Published Robots predict human intention for faster builds
(via sciencedaily.com) Original source Humans have a way of understandings others' goals, desires and beliefs, a crucial skill that allows us to anticipate people's actions. Taking bread out of the toaster? You'll need a plate. Sweeping up leaves? I'll grab the green trash can. This skill, often referred to as 'theory of mind,' comes easily to us as humans, but is still challenging for robots. But, if robots are to become truly collaborative helpers in manufacturing and in everyday life, they need to learn the same abilities. Computer science researchers aim to teach robots how to predict human preferences in assembly tasks, so they can one day help out on everything from building a satellite to setting a table.