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Categories: Computer Science: Artificial Intelligence (AI), Mathematics: Statistics
Published New method uses crowdsourced feedback to help train robots
(via sciencedaily.com) Original source A new technique enables an AI agent to be guided by data crowdsourced asynchronously from nonexpert human users as it learns to complete a task through reinforcement learning. The method trains the robot faster and better than other approaches.
Published How we play together
(via sciencedaily.com) Original source Psychologists are using EEG to research what games reveal about our ability to cooperate.
Published AI can 'lie and BS' like its maker, but still not intelligent like humans
(via sciencedaily.com) Original source A researcher contends that the understanding of AI is muddled by linguistics: That while indeed intelligent, AI cannot be intelligent in the way that humans are, even though 'it can lie and BS like its maker.'
Published Creativity in the age of generative AI: A new era of creative partnerships
(via sciencedaily.com) Original source Generative AI (e.g., ChatGPT) has propelled AI into the mainstream, raising concerns about job displacement and creative work. Experts now emphasize a need to focus on 'co-creativity,' the human-AI interaction instead. Extensive research is needed for comprehending co-creativity which is crucial for the future development of AI.
Published AI system self-organizes to develop features of brains of complex organisms
(via sciencedaily.com) Original source Scientists have shown that placing physical constraints on an artificially-intelligent system -- in much the same way that the human brain has to develop and operate within physical and biological constraints -- allows it to develop features of the brains of complex organisms in order to solve tasks.
Published AI: Researchers develop automatic text recognition for ancient cuneiform tablets
(via sciencedaily.com) Original source A new artificial intelligence (AI) software is now able to decipher difficult-to-read texts on cuneiform tablets. Instead of photos, the AI system uses 3D models of the tablets, delivering significantly more reliable results than previous methods. This makes it possible to search through the contents of multiple tablets to compare them with each other. It also paves the way for entirely new research questions.
Published The mind's eye of a neural network system
(via sciencedaily.com) Original source A new tool, based on topology, makes finding the areas where neural networks are confused as simple as spotting mountaintops from an airplane. The ability to spot and address those areas of confusion should enable more confident application of neural networks in high-stakes decision scenarios or image prediction tasks like healthcare and research.
Published Realistic talking faces created from only an audio clip and a person's photo
(via sciencedaily.com) Original source 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).
Published Use it or lose it: New robotic system assesses mobility after stroke
(via sciencedaily.com) Original source 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.
Published This 3D printer can watch itself fabricate objects
(via sciencedaily.com) Original source 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.
Published Individual back training machine developed
(via sciencedaily.com) Original source 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.
Published Engineers are on a failure-finding mission
(via sciencedaily.com) Original source Engineers developed a technique to quickly identify a range of potential failures in a system before they are deployed in the real world.
Published How human faces can teach androids to smile
(via sciencedaily.com) Original source 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.
Published Machine learning gives users 'superhuman' ability to open and control tools in virtual reality
(via sciencedaily.com) Original source 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.
Published Neuromorphic computing will be great... if hardware can handle the workload
(via sciencedaily.com) Original source Scientists believe they may have discovered a way to rework the hardware of AI. By mimicking the synapses of the human brain.
Published 450-million-year-old organism finds new life in Softbotics
(via sciencedaily.com) Original source 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.
Published Optical-fiber based single-photon light source at room temperature for next-generation quantum processing
(via sciencedaily.com) Original source Single-photon emitters quantum mechanically connect quantum bits (or qubits) between nodes in quantum networks. They are typically made by embedding rare-earth elements in optical fibers at extremely low temperatures. Now, researchers have developed an ytterbium-doped optical fiber at room temperature. By avoiding the need for expensive cooling solutions, the proposed method offers a cost-effective platform for photonic quantum applications.
Published AI should be better understood and managed -- new research warns
(via sciencedaily.com) Original source 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.
Published Nanowire 'brain' network learns and remembers 'on the fly'
(via sciencedaily.com) Original source 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.
Published The brain may learn about the world the same way some computational models do
(via sciencedaily.com) Original source 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.