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Categories: Archaeology: General, Computer Science: Artificial Intelligence (AI)

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A team of researchers has developed a computer program that creates realistic videos that reflect the facial expressions and head movements of the person speaking, only requiring an audio clip and a face photo.   DIverse yet Realistic Facial Animations, or DIRFA, is an artificial intelligence-based program that takes audio and a photo and produces a 3D video showing the person demonstrating realistic and consistent facial animations synchronised with the spoken audio (see videos).

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Stroke is a leading cause of long-term disability worldwide. Each year more than 15 million people worldwide have strokes, and three-quarters of stroke survivors will experience impairment, weakness and paralysis in their arms and hands. Many stroke survivors rely on their stronger arm to complete daily tasks, from carrying groceries to combing their hair, even when the weaker arm has the potential to improve.

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Engineers have developed a high-throughput, multimaterial 3D inkjet printer that uses computer vision to rapidly and automatically control the amount of material being deposited during the printing process in real time. This enables the use of a wide range of materials for fabrication.

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18 percent of reported sick leave relates to musculoskeletal ailments, in particular back-related disorders. The GyroTrainer is an intelligent training device that resembles a balance board. It uses artificial intelligence to adjust the difficulty level to the individual patient's current ability.

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A new study casts doubt on claims that Homo naledi, a small-brained hominin dating to between 335-241,000 years ago, deliberately buried their dead and produced rock art in Rising Star Cave, South Africa. Recent articles suggested the recent excavations at the Rising Star Cave system provided evidence of at least three burial features, two in the Dinaledi Chamber and a third in the Hill Antechamber cavity. The group of experts have now called for a deeper dig into the science behind the findings.

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Engineers developed a technique to quickly identify a range of potential failures in a system before they are deployed in the real world.

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A research team used 125 physical markers to understand the detailed mechanics of 44 different human facial motions. The aim was to better understand how to convey emotions with artificial faces. Beyond helping with the design of robots and androids, this research can also benefit computer graphics, facial recognition, and medical diagnoses.

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A new analysis of lice genetic diversity suggests that lice came to the Americas twice -- once during the first wave of human migration across the Bering Strait, and again during European colonization.

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Researchers have developed a virtual reality application where a range of 3D modelling tools can be opened and controlled using just the movement of a user's hand.

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Scientists believe they may have discovered a way to rework the hardware of AI. By mimicking the synapses of the human brain.

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Researchers have used fossil evidence to engineer a soft robotic replica of pleurocystitids, a marine organism that existed nearly 450 million years ago and is believed to be one of the first echinoderms capable of movement using a muscular stem.

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The hunter-gatherers who settled on the banks of the Haine, a river in southern Belgium, 31,000 years ago were already using spearthrowers to hunt their game. The material found at the archaeological site of Maisières-Canal permits establishing the use of this hunting technique 10,000 years earlier than the oldest currently known preserved spearthrowers. This discovery is prompting archaeologists to reconsider the age of this important technological innovation.

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Artificial Intelligence (AI) and algorithms can and are being used to radicalize, polarize, and spread racism and political instability, says an academic. An expert argues that AI and algorithms are not just tools deployed by national security agencies to prevent malicious activity online, but can be contributors to polarization, radicalism and political violence -- posing a threat to national security.

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Like a collection of 'Pick Up Sticks', this neural network has passed a critical step for developing machine intelligence. For the first time, a physical neural network has successfully been shown to learn and remember 'on the fly', in a way inspired by and similar to how the brain's neurons work. The result opens a pathway for developing efficient and low-energy machine intelligence for more complex, real-world learning and memory tasks.

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New studies support the idea that the brain uses a process similar to a machine-learning approach known as 'self-supervised learning.' This type of machine learning allows computational models to learn about visual scenes based solely on the similarities and differences between them, with no labels or other information.

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A new study analyzing declassified Cold War satellite imagery reveals 396 previously undocumented Roman forts and reports that these forts were constructed from east to west, spanning from what is now western Syria to northwestern Iraq. The analysis refutes Father Antoine Poidebard's claim that the forts were located along a north-south axis.

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Researchers have developed a souped-up telepresence robot that responds automatically and in real-time to a remote user's movements and gestures made in virtual reality.

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Smart, stretchable and highly sensitive, a new soft sensor opens the door to a wide range of applications in robotics and prosthetics. When applied to the surface of a prosthetic arm or a robotic limb, the sensor skin provides touch sensitivity and dexterity, enabling tasks that can be difficult for machines such as picking up a piece of soft fruit. The sensor is also soft to the touch, like human skin, which helps make human interactions safer and more lifelike. 

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Smart glasses that use a technique similar to a bat's echolocation could help blind and low-vision people navigate their surroundings, according to researchers. 

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Researchers have now developed a technique that advances the ability of these tools, such as ChatGPT, to make compositional generalizations. This technique, Meta-learning for Compositionality, outperforms existing approaches and is on par with, and in some cases better than, human performance.