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Categories: Computer Science: Artificial Intelligence (AI), Mathematics: Modeling
Published Scientists uncover a surprising connection between number theory and evolutionary genetics
(via sciencedaily.com) An interdisciplinary team of mathematicians, engineers, physicists, and medical scientists has uncovered an unexpected link between pure mathematics and genetics, that reveals key insights into the structure of neutral mutations and the evolution of organisms.
Published GPT-3 can reason about as well as a college student, psychologists report
(via sciencedaily.com) The artificial intelligence language model GPT-3 performed as well as college students in solving certain logic problems like those that appear on standardized tests. The researchers who conducted the experiment write that the results prompt the question of whether the technology is mimicking human reasoning or using a new type of cognitive process. Solving that question would require access to the software that underpins GPT-3 and other AI software.
Published 3D display could soon bring touch to the digital world
(via sciencedaily.com) Engineers have designed a new, shape-shifting display that can fit on a card table and allows users to draw 3D designs and more.
Published Researchers successfully train a machine learning model in outer space for the first time
(via sciencedaily.com) Original source Scientists have trained a machine learning model in outer space, on board a satellite. This achievement could revolutionize the capabilities of remote-sensing satellites by enabling real-time monitoring and decision making for a range of applications.
Published Reinforcement learning allows underwater robots to locate and track objects underwater
(via sciencedaily.com) A team has shown that reinforcement learning -i.e., a neural network that learns the best action to perform at each moment based on a series of rewards- allows autonomous vehicles and underwater robots to locate and carefully track marine objects and animals.
Published This 3D printed gripper doesn't need electronics to function
(via sciencedaily.com) This soft robotic gripper is not only 3D printed in one print, it also doesn't need any electronics to work.
Published Researchers develop low-cost sensor to enhance robots' sense of touch
(via sciencedaily.com) Researchers have developed an L3 F-TOUCH sensor to enhance tactile capabilities in robots, allowing it to 'feel' objects and adjust its grip accordingly.
Published A simpler method for learning to control a robot
(via sciencedaily.com) A new machine-learning technique can efficiently learn to control a robot, leading to better performance with fewer data.
Published Robotic hand rotates objects using touch, not vision
(via sciencedaily.com) Inspired by the effortless way humans handle objects without seeing them, engineers have developed a new approach that enables a robotic hand to rotate objects solely through touch, without relying on vision.
Published AI predicts the work rate of enzymes
(via sciencedaily.com) Enzymes play a key role in cellular metabolic processes. To enable the quantitative assessment of these processes, researchers need to know the so-called 'turnover number' (for short: kcat) of the enzymes. A team of bioinformaticians now describes a tool for predicting this parameter for various enzymes using AI methods.
Published Robot preachers get less respect, fewer donations
(via sciencedaily.com) As artificial intelligence expands across more professions, robot preachers and AI programs offer new means of sharing religious beliefs, but they may undermine credibility and reduce donations for religious groups that rely on them.
Published Future AI algorithms have potential to learn like humans
(via sciencedaily.com) Memories can be as tricky to hold onto for machines as they can be for humans. To help understand why artificial agents develop holes in their own cognitive processes, electrical engineers have analyzed how much a process called 'continual learning' impacts their overall performance.
Published Allowing robots to explore on their own
(via sciencedaily.com) Scientists have developed a suite of robotic systems and planners enabling robots to explore more quickly, probe the darkest corners of unknown environments, and create more accurate and detailed maps. The systems allow robots to do all this autonomously, finding their way and creating a map without human intervention.
Published A faster way to teach a robot
(via sciencedaily.com) A new technique enables a human to efficiently fine-tune a robot that failed to complete a desired task with very little effort on the part of the human. Their system uses algorithms, counterfactual explanations, and feedback from the user to generate synthetic data it uses to quickly fine-tune the robot.
Published Bot inspired by baby turtles can swim under the sand
(via sciencedaily.com) This robot can swim under the sand and dig itself out too, thanks to two front limbs that mimic the oversized flippers of turtle hatchlings. It's the only robot that is able to travel in sand at a depth of 5 inches. It can also travel at a speed of 1.2 millimeters per second--roughly 4 meters, or 13 feet, per hour. This may seem slow but is comparable to other subterranean animals like worms and clams.
Published Robotics: New skin-like sensors fit almost everywhere
(via sciencedaily.com) Researchers have developed an automatic process for making soft sensors. These universal measurement cells can be attached to almost any kind of object. Applications are envisioned especially in robotics and prosthetics.
Published The economic life of cells
(via sciencedaily.com) A team has combined economic theory with biology to understand how natural systems respond to change. The researchers noticed a similarity between consumers' shopping behavior and the behavior of metabolic systems, which convert food into energy in our bodies. The team focused on predicting how different metabolic systems might respond to environmental change by using an economic tool called the Slutsky equation. Their calculations indicated that very different metabolic systems actually share previously unknown universal properties, and can be understood using tools from other academic fields. Metabolic processes are used in drug development, bioengineering, food production and other industries, so being able to predict how such systems will respond to change can offer many benefits.
Published Robot team on lunar exploration tour
(via sciencedaily.com) Original source Engineers are training legged robots for future lunar missions that will search for minerals and raw materials. To ensure that the robots can continue to work even if one of them malfunctions, the researchers are teaching them teamwork.
Published Supercomputer used to simulate winds that cause clear air turbulence
(via sciencedaily.com) Using Japan's most powerful supercomputer, researchers reproduced cases of clear air turbulence around Tokyo. They simulated the fine vortices responsible for this dangerous phenomenon. The usefulness of the simulation in predicting turbulence was confirmed by comparing simulation data with data from aircraft recordings. This research should improve the forecasting of turbulence.
Published Pump powers soft robots, makes cocktails
(via sciencedaily.com) Over the past several years, researchers have been developing soft analogues of traditionally rigid robotic components. In fluid-driven robotic systems, pumps control the pressure or flow of the liquid that powers the robot's movement. Most pumps available today for soft robotics are either too large and rigid to fit onboard, not powerful enough for actuation or only work with specific fluids. Researchers have now developed a compact, soft pump with adjustable pressure flow versatile enough to pump a variety of fluids with varying viscosity, including gin, juice, and coconut milk, and powerful enough to power soft haptic devices and a soft robotic finger.