Articles tagged with Artificial Intelligence
A team of researchers from Simon Fraser University has developed an artificial intelligence (AI) method to anonymize faces in news reports, aiming to improve visuals and amplify emotions tied to the story. The technique uses AI painting to simulate a smart painter, resulting in more engaging videos.
A new study from MIT found that doctors' written notes reveal their 'gut feelings' play a significant role in determining how many tests they order for patients, beyond just analyzing symptoms and medical data. The researchers used sentiment analysis to uncover this correlation, which was strongest at the beginning of a patient's hospi...
Researchers have developed an AI system that can identify and quantify cyanobacteria in water samples in about one to two hours, reducing the need for expensive lab tests. This tool could provide early warnings of problems, helping to ensure safe drinking water and preventing public health issues.
A study by the University of Helsinki found that science fiction enthusiasts are more likely to approve of mind upload technology, with traditional religiousness and disgust sensitivity to sexual matters linked to negative reactions. The research also explored moral psychology perspectives on the technology.
The article discusses the ethical implications of genetic testing and the duty to warn family members of hereditary disease risks. Experts argue that patients have a moral obligation to share their genetic information with relatives, citing the principle of rescue as a framework for decision-making.
The Swiss State Secretariat for Migration and the Immigration Policy Lab (IPL) are testing a new data-driven method to assign asylum seekers to cantons across Switzerland. The algorithm aims to maximize job chances, and its recommendations will be compared to those of randomly allocated individuals over several years.
Researchers have developed a system using wearable technology and artificial intelligence to detect the onset of respiratory and cardiovascular diseases. By analyzing data from sensors on smart shirts, they can predict health-related benchmarks during daily activities.
Researchers used AI and image analysis to reconstruct the structure of plants with hidden branch structures, including those under leaves. The new technology will help in future cultivation techniques such as detailed daily management and forecasting plant growth.
Researchers have uncovered characteristics of magnetic solitons, a type of magnetic wave relevant to developing neuromorphic computing systems. The findings reveal how these components act, which is essential for realizing their potential in brain-inspired computing.
Bento browser eliminates 'tab overload' by storing each search session as a project workspace, keeping track of relevant parts of visited web pages. Users can identify useful pages, trash unhelpful ones, and pick up where they left off later.
A new RAND Corporation paper warns that AI's potential to encourage risky behavior and undermine strategic stability poses a significant threat to global security. Improved sensor technologies and the rise of first-strike capabilities could erode mutual assured destruction, making nuclear war more likely.
A new tool called Squadbox, developed by MIT CSAIL, enables people who have been targeted by online harassment to coordinate a squad of friends to filter messages and shield themselves from abusive content. The 'friend-sourcing' approach aims to augment human support with tools in a meaningful way.
Alán Aspuru-Guzik, a world-leading researcher in theoretical and computational chemistry, joins the University of Toronto as a Canada 150 Research Chair. He aims to disrupt chemistry through computer science and robotics, with a focus on bio-inspired solar energy.
A Chinese AI system can diagnose prostate cancer with accuracy comparable to human pathologists, offering potential benefits for streamlining cancer diagnosis and overcoming pathologist shortages. The system was developed using a learning algorithm and showed promise in accurately classifying malignancy levels and Gleason Grades.
Researchers at Åbo Akademi University and Moffitt Cancer Research Centre are developing AI-driven precision cancer medicine to identify effective multi-drug therapies for each patient. The project combines molecular data with network modelling to analyze interactions between drugs and inhibitors, reducing the risk of drug resistance.
AutoSaw, a system developed by MIT CSAIL, lets users design and customize furniture templates using expert knowledge and robotics for cutting tasks. The system uses small mobile robots to cut lumber with minimal risk of injury.
Researchers simulated a sea slug's decision-making process in Cyberslug, a virtual environment that mimics the creature's behavior. The study found that hunger and learning ability are crucial attributes in regulating prey consumption, laying the groundwork for more complex models of AI decision-making.
Researchers from UC3M and BQ will develop a new camera system leveraging artificial intelligence to enhance photographic quality and identify visual patterns. The collaboration aims to foster education, training, and innovation in AI research and its applications.
Scientists at Brown University have created a way for robots to learn high-level abstract representations of their surroundings, enabling them to plan and act more autonomously. By using machine learning algorithms, robots can distill complex sensory data into simple, text-based descriptions that facilitate planning and skill execution.
Researchers at USC Center for Artificial Intelligence in Society developed an AI algorithm, SPOT, to detect poachers in near real-time using infrared images. The algorithm can distinguish between humans and animals in just over three-tenths of a second, reducing the time spent on monitoring wildlife.
Researchers at Carnegie Mellon University have created a conversational agent, Evorus, that can answer a wide range of questions using a human/machine hybrid system. The system, which combines crowd workers and AI, allows the agent to learn and improve over time, making it more accurate and effective in its responses.
Research using motion sensors and AI software reveals expert bricklayers use techniques to limit joint loads and develop efficient work methods. The study's findings could lead to improved training programs for apprentices and enhanced worker safety.
A deep learning computing system developed to classify retinal images can detect diabetic retinopathy, glaucoma, and age-related macular degeneration with high accuracy. The study used 494,661 retinal images from diverse patient populations.
Researchers developed a deep learning tool to automatically analyze road behavior and create searchable databases. The system accurately labeled and tracked objects in traffic videos, identifying potential close encounters between vehicles and pedestrians.
Researchers at MIT's CSAIL developed ComText, a system that allows robots to understand contextual commands, enabling them to perform complex tasks. With this technology, Baxter, a two-armed humanoid robot, achieved success in executing commands with a 90% accuracy rate.
A new AI-powered traffic management system called SimplifAI will be tested in Manchester, aiming to reduce congestion and improve air quality. The system, developed by Professor Lee McCluskey and his team, can analyze data and devise complex strategies in a fraction of the time required by human operators.
Researchers from MIT's CSAIL have developed InstantCAD, a tool that enables designers to interactively edit and optimize CAD models using a streamlined workflow. This allows for real-time improvements and optimizations, reducing the time required to test and refine complex designs.
Researchers from MIT's CSAIL developed an AI system called Pic2Recipe that can analyze photos of food and predict ingredients and suggest similar recipes. The system was trained on a database of over 1 million recipes and showed impressive results, particularly with desserts like cookies or muffins.
Researchers developed Empowerment to help robots and humans work together safely and effectively. The concept enables robots to prioritize human safety while maintaining their own autonomy.
Researchers developed an AI signature to detect long-term concussion effects using artificial intelligence, detecting up to 90% accuracy. The tool could aid in diagnosing and treating concussion-related symptoms, which often persist for years after the injury.
Researchers from MIT's CSAIL have developed a new system called Home3D that allows users to watch 3D movies at home without glasses. The system converts traditional 3D movies into a format compatible with automultiscopic displays, which show multiple images simultaneously.
Researchers at MIT developed a system that allocates cache access on the fly to create tailored 'cache hierarchies' for specific programs, increasing processing speed by 20-30% and reducing energy consumption by 30-85%. The system, called Jenga, uses a sampling algorithm to efficiently evaluate tradeoffs between latency and space.
A team of engineers at the University of Arizona is designing an autonomous border-surveillance system that uses artificial intelligence to collect, assess, and act on data in real time. The system will deploy drones on its own and integrate data from different sources, including aerial and ground vehicles, to respond effectively.
A study using artificial intelligence has found that automated embryo assessment systems are more accurate than those of embryologists, with a 76% accuracy rate. The system uses mathematical variables from time-lapse images to classify embryos automatically, reducing human error and improving predictive value.
USC researchers found that smiling during victory can hurt future cooperation chances, but smiling during a loss can increase success odds. The study used emotion-tracking software to analyze participants' facial reactions during the Golden Balls game show.
Researchers used AI to analyze medical imaging of 48 patients' chests, predicting which would die within five years with high accuracy. The study suggests that AI can recognize subtle patterns in images to predict medical outcomes, offering new hope for early disease detection and treatment.
A new wearable system uses a 3D camera to identify surfaces and objects, providing tactile signals through vibrating motors and a reconfigurable Braille interface. The system significantly reduces obstacles other than chairs from being contacted by visually impaired users, and minimizes cane collisions with people.
A team of MIT researchers created a system that allows directors to specify a shot's framing and generate control signals for a camera-equipped autonomous drone, preserving the framing as actors move. The system guarantees safe collision avoidance with obstacles.
A new Yale University study found that even 'dumb' AI can help human groups by boosting their performance. The experiment, which used an online game with human players and robotic AI players, showed a significant improvement in the median time for groups to solve problems.
Georgia Tech researchers have developed a team of free-flying robots that can maintain formation and avoid collisions. The robots use virtual top hats to maneuver in the air. Meanwhile, autonomous blimps with face-detecting capabilities are being built to recognize hand gestures and interact with humans.
A new study reveals AI systems retain biases seen in humans, with European American names associated more with pleasant stimuli. The research uses statistical analysis of word associations to demonstrate these findings, which have implications for understanding cultural stereotypes.
Researchers from MIT's Computer Science and Artificial Intelligence Laboratory present a system called Flexplane that tests new traffic management protocols at realistic speeds without altering network hardware. The system uses a compact, efficient computational model of a network to schedule transmissions on the real network.
A £5m project by the University of Manchester aims to reduce offshore wind farm maintenance costs using AI, robotics, and advanced sensors. The initiative will enable predictive diagnostics, allowing for early issue detection and minimal human intervention in hazardous environments.
Researchers created an AI system called DeepStack that outperforms human players in heads-up no-limit poker by leveraging asymmetrical information about the game state. The system solves approximately 10^7 decision points in 5 seconds, enabling potential advances in real-world problems involving information asymmetry.
DeepStack, a computer program developed by the University of Alberta's Computer Poker Research Group, has defeated professional poker players in heads-up no-limit Texas hold'em poker. The program uses a technique called continual re-solving to determine the correct strategy for each situation, allowing it to play at human speed.
Researchers analyzed Wikipedia bots' interactions on 13 language editions over ten years, finding they behave differently in culturally distinct environments. Bots often engage in 'sterile fights' lasting years or reaching deadlock, with conflicts triggered later than human reverts.
UC researchers successfully employed fuzzy logic in a simulation to show it is an ideal system for navigating under dynamic conditions. The concept, also known as genetic-fuzzy, allows drones to make good navigational decisions amid statistical noise and has real-world applications such as autonomous delivery.
A new report reveals over 5,000 likely transshipments between 2012-2016, with potential for millions more, highlighting the need for improved regulation and monitoring of transshipment in the global seafood market. The study also identifies clusters of transshipment along EEZs of countries with limited monitoring capabilities.
A new wearable AI system developed by MIT researchers can predict the tone of conversations with high accuracy, analyzing audio and vital-sign data. The system has shown promise in understanding social interactions, particularly for people with anxiety or Asperger's syndromes.
A recent study on Reddit found that a small group of voters can significantly impact the content users see, with up-voted posts receiving a higher final score and being more likely to reach the front page. The study highlights the importance of understanding how social rating systems curate media in our daily lives.
A new system was presented at the Association for Computing Machinery's Symposium on Principles of Programming Languages that automatically handles database caching in web applications written in Ur/Web. This system offers twofold to 30-fold speedups in experiments involving two websites.
A Northwestern University team developed a new computational model that performs at human levels on the Raven's Progressive Matrices, a nonverbal standardized test. The model's ability to solve complex visual problems and understand analogies provides evidence for the importance of symbolic representations and analogy in visual reasoning.
Researchers at FAU's Computer Chemistry Center are developing an AI application to predict odor molecules, neutralizing undesirable smells in packaging and products. The project aims to improve product development efficiency, reducing trial-and-error experiments.
Researchers developed a method to read and amplify high confidence states using decoded neurofeedback, boosting participants' confidence without awareness. The effect was reversible, with confidence decreasing when the pattern was no longer detected.
The Internet of Things (IoT) will require new search mechanisms to support billions of connected devices, demanding machine-to-machine searches and secure data access. Complex IoT technologies like smart cities, autonomous cars, and environmental monitoring need efficient indexing and ranking mechanisms.
Researchers have developed simulated search agents that significantly outperformed human participants in computer search challenges, offering a promising solution for automating literature review and suggesting relevant sources. The agents can be configured to mimic human behavior, providing a credible simulation of a human researcher.
Researchers have trained a robot to imitate natural human actions, allowing for effective coordination during high-stakes events like surgeries. This development holds promise for improving safety and efficiency in medical procedures.
A new display technology, Cinema 3D, allows viewers to watch 3-D movies without glasses, using a special array of lenses and mirrors. The system enables high-resolution images to be replicated across the theater, offering an immersive cinematic experience from any seat.
UMass Amherst researchers develop a new framework for managing control transfer between humans and autonomous systems, enabling safe semi-autonomous vehicles. The approach leverages human strengths while capitalizing on machine capabilities.
A new anonymity scheme called Riffle provides strong security guarantees while using bandwidth efficiently. The system employs a mixnet with onion encryption and uses authentication encryption to verify the authenticity of messages, ensuring cryptographically secure communication as long as one server remains uncompromised.