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Categories: Biology: Evolutionary, Computer Science: Artificial Intelligence (AI)

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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.

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Engineers have designed a new, shape-shifting display that can fit on a card table and allows users to draw 3D designs and more.

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The origin of bees is tens of millions of years older than most previous estimates, a new study shows. A team led by Washington State University researchers traced the bee genealogy back more than 120 million years to an ancient supercontinent, Gondwana, which included today's continents of Africa and South America.

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Scientists showed that fixed mutations within a viral population most likely stem from how easy it is to acquire that mutation (i.e., mutation accessibility) rather than just its benefit.

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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.

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This soft robotic gripper is not only 3D printed in one print, it also doesn't need any electronics to work.

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Researchers have developed an L3 F-TOUCH sensor to enhance tactile capabilities in robots, allowing it to 'feel' objects and adjust its grip accordingly.

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Bees and wasps have converged on the same architectural solutions to nest-building problems, according to new research.

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A new study of the strain of influenza A responsible for the 2009 H1N1 pandemic -- pdm09 -- shows that the virus has passed from humans to swine about 370 times since 2009, and subsequent circulation in swine has resulted in the evolution of pdm09 variants that then jumped from swine to humans.

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A new machine-learning technique can efficiently learn to control a robot, leading to better performance with fewer data.

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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.

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Researchers have described a new species of armored reptile that lived near the time of the first appearance of dinosaurs. With bony plates on its backbone, this archosaur fossil reveals that armor was a boomerang trait in the story of dinosaur and pterosaur evolution: the group's ancestors were armored, but this characteristic was lost and then independently re-evolved multiple times later among specialized dinosaurs like ankylosaurs, stegosaurs, and others.

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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.

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Machine-learning system effectively predicts emergence of prominent variants.

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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.

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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.

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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.

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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.

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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.

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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.