Robotics and AI
22 Dec 2023
Researchers have developed the Dragon Firefighter, a flying firehose that can aid human firefighters to put out the most dangerous fires. Because the design is Open Science, researchers around the world can use these plans to build their own Dragon Firefighters. The authors expect that real-world applications will be possible within a decade.
Robotics and AI
10 Aug 2023
By Deborah Pirchner, Frontiers science writer Image: Shutterstock.com Malaria is an infectious disease claiming more than half a million lives each year. Because traditional diagnosis takes expertise and the workload is high, an international team of researchers investigated if diagnosis using a new system combining an automatic scanning microscope and AI is feasible in clinical settings. They found that the system identified malaria parasites almost as accurately as experts staffing microscopes used in standard diagnostic procedures. This may help reduce the burden on microscopists and increase the feasible patient load. Each year, more than 200 million people fall sick with malaria and more than half a million of these infections lead to death. The World Health Organization recommends parasite-based diagnosis before starting treatment for the disease caused by Plasmodium parasites. There are various diagnostic methods, including conventional light microscopy, rapid diagnostic tests and PCR. The standard for malaria diagnosis, however, remains manual light microscopy, during which a specialist examines blood films with a microscope to confirm the presence of malaria parasites. Yet, the accuracy of the results depends critically on the skills of the microscopist and can be hampered by fatigue caused by excessive workloads of the professionals doing the […]
Robotics and AI
20 Jun 2023
By Deborah Pirchner, Frontiers science writer Image: Shutterstock.com Predicting hit songs is notoriously difficult. Researchers have now applied machine learning (ML) to high-frequency neurophysiologic data to improve hit song prediction accuracy. They showed that if ML was applied to neural data collected while people listened to new music, hit songs could be predicted with close-to-perfect accuracy. This can open doors to providing consumers with the entertainment they are looking for, rather than flooding them with options. Every day, tens of thousands of songs are released. This constant stream of options makes it difficult for streaming services and radio stations to choose which songs to add to playlists. To find the ones that will resonate with a large audience, these services have used human listeners and artificial intelligence. This approach, however, lingering at a 50% accuracy rate, does not reliably predict if songs will become hits. Now, researchers in the US have used a comprehensive machine learning technique applied to brain responses and were able to predict hit songs with 97% accuracy. “By applying machine learning to neurophysiologic data, we could almost perfectly identify hit songs,” said Paul Zak, a professor at Claremont Graduate University and senior author of the study […]
Robotics and AI
08 Jun 2023
by Inês Hipólito/Deborah Pirchner, Frontiers science writer Image: shutterstock.com Inês Hipólito is a highly accomplished researcher, recognized for her work in esteemed journals and contributions as a co-editor. She has received research awards including the prestigious Talent Grant from the University of Amsterdam in 2021. After her PhD, she held positions at the Berlin School of Mind and Brain and Humboldt-Universität zu Berlin. Currently, she is a permanent lecturer of the philosophy of AI at Macquarie University, focusing on cognitive development and the interplay between augmented cognition (AI) and the sociocultural environment. Inês co-leads a consortium project on ‘Exploring and Designing Urban Density. Neurourbanism as a Novel Approach in Global Health,’ funded by the Berlin University Alliance. She also serves as an ethicist of AI at Verses. Beyond her research, she co-founded and serves as vice-president of the International Society for the Philosophy of the Sciences of the Mind. Inês is the host of the thought-provoking podcast ‘The PhilospHER’s Way’ and has actively contributed to the Women in Philosophy Committee and the Committee in Diversity and Inclusivity at the Australasian Association of Philosophy from 2017 to 2020. As part of our Frontier Scientist series, Hipólito caught up with Frontiers to tell us […]
Robotics and AI
10 May 2023
Online Seminar Series Inclusion, accessibility, and social interaction in virtual and augmented reality environments is key to ensure the success of the deployment of this technology at a public scale. Although immersive environments offer fantastic opportunities for creativity, learning, and social interaction, there is a risk of abusive behavior and exclusion of people with special needs. The GuestXR European project embraces artificial intelligence, together with neuroscience and social psychology research to increase harmony and improve the participants’ experience in shared 3D virtual or augmented reality spaces. This seminar series, organized by Frontiers in Virtual Reality journal and partners from the GuestXR project, will start with a webinar on the features of an innovative XR technology for meeting with participants around the world. The series of online series will follow on with sessions on the research and advancements on haptic technologies and 3D audio techniques to support social interactions and inclusion in XR environments. Finally, we will delve into advanced multisensory features to improve accessibility to VR environments by publics with special needs. Speakers Bio: SeminarDate AbstractRegistration linkSEMINAR 1. A Shared XR System with Full Body Avatars and AI Agent Integration for Enhanced Inclusivity17 May 2023, 16.00h CESTIn this webinar, we will discuss an innovative […]
Robotics and AI
14 Mar 2023
By Deborah Pirchner, Frontiers science writer Image: Shutterstock.com Compostable plastics are on the rise. Despite their merits, these products, including wrappers and packaging, can contaminate conventional plastic waste in the recycling process. Now, scientists used highly sensitive imaging techniques and developed machine learning methods that can identify compostable plastics among conventional types. Disposable plastics are everywhere: Food containers, coffee cups, plastic bags. Some of these plastics, called compostable plastics, can be engineered to biodegrade under controlled conditions. However, they often look identical to conventional plastics, get recycled incorrectly and, as a result, contaminate plastic waste streams and reduce recycling efficiency. Similarly, recyclable plastics are often mistaken for compostable ones, resulting in polluted compost. Researchers at University College London (UCL) have published a paper in Frontiers in Sustainability in which they used machine learning to automatically sort different types of compostable and biodegradable plastics and differentiate them from conventional plastics. “The accuracy is very high and allows the technique to be feasibly used in industrial recycling and composting facilities in the future,” said Prof Mark Miodownik, corresponding author of the study. Up to perfect accuracy The researchers worked with different types of plastics measuring between 50mm by 50mm and 5mm by 5mm. […]
Robotics and AI
28 Feb 2023
by Liad Hollender, Frontiers science writer Credit: Thomas Hartung, Johns Hopkins University Despite AI’s impressive track record, its computational power pales in comparison with that of the human brain. Scientists today unveil a revolutionary path to drive computing forward: organoid intelligence (OI), where lab-grown brain organoids serve as biological hardware. “This new field of biocomputing promises unprecedented advances in computing speed, processing power, data efficiency, and storage capabilities – all with lower energy needs,” say the authors in an article published in Frontiers in Science. Artificial intelligence (AI) has long been inspired by the human brain. This approach proved highly successful: AI boasts impressive achievements – from diagnosing medical conditions to composing poetry. Still, the original model continues to outperform machines in many ways. This is why, for example, we can ‘prove our humanity’ with trivial image tests online. What if instead of trying to make AI more brain-like, we went straight to the source? Scientists across multiple disciplines are working to create revolutionary biocomputers where three-dimensional cultures of brain cells, called brain organoids, serve as biological hardware. They describe their roadmap for realizing this vision in the journal Frontiers in Science. “We call this new interdisciplinary field ‘organoid intelligence’ […]
Robotics and AI
28 Feb 2023
by Liad Hollender, Frontiers science writer Image: Prof Thomas Hartung Over just a few decades, computers shrunk from massive installations to slick devices that fit in our pockets. But this dizzying trend might end soon, because we simply can’t produce small enough components. To keep driving computing forward, scientists are looking for alternative approaches. An article published in Frontiers in Science presents a revolutionary strategy, called organoid intelligence. This emerging scientific field aims to create biocomputers where lab-grown brain organoids (three-dimensional brain-cell cultures) serve as biological hardware. According to the authors, this technology could also drive progress in biomedicine, providing unprecedented insight into the human brain. To learn more about this exciting new field, we interviewed the senior author of the article, Prof Thomas Hartung. He is the director of the Center for Alternatives to Animal Testing in Europe (CAAT-Europe), and a professor at Johns Hopkins University’s Bloomberg School of Public Health. How do you define organoid intelligence? Reproducing cognitive functions – such as learning and sensory processing – in a lab-grown human-brain model. How did this idea emerge? I’m a pharmacologist and toxicologist, so I’m interested in developing medicines and identifying substances that are dangerous to our health, specifically […]
Robotics and AI
16 Nov 2022
By Mischa Dijkstra, Frontiers science writer Joey’s design. Image credit: TL Nguyen, A Blight, A Pickering, A Barber, GH Jackson-Mills, JH Boyle, R Richardson, M Dogar, N Cohen Researchers from the University of Leeds have developed the first mini-robot, called Joey, that can find its own way independently through networks of narrow pipes underground, to inspect any damage or leaks. Joeys are cheap to produce, smart, small, and light, and can move through pipes inclined at a slope or over slippery or muddy sediment at the bottom of the pipes. Future versions of Joey will operate in swarms, with their mobile base on a larger ‘mother’ robot Kanga, which will be equipped with arms and tools for repairs to the pipes. Beneath our streets lies a maze of pipes, conduits for water, sewage, and gas. Regular inspection of these pipes for leaks, or repair, normally requires these to be dug up. The latter is not only onerous and expensive – with an estimated annual cost of £5.5bn in the UK alone – but causes disruption to traffic as well as nuisance to people living nearby, not to mention damage to the environment. Now imagine a robot that can find its […]
Robotics and AI
27 Oct 2022
By Colm Gorey, Frontiers Science Communications Manager Image: Shutterstock.com Robotics and AI have quickly outgrown as tropes of science fiction and are almost ubiquitous in our daily lives, even if we don’t realize it. Now, Frontiers highlights just some of the latest top articles in this fascinating field. Whether it’s wheeled robots whizzing around city-sized warehouses, or if it’s just a smart assistant in your phone, robotics and AI has quickly become integral technologies in our lives. And while big tech companies and gadget lovers are quick to speak of its enormous benefits, those closely studying the field are calling on more caution. These technologies are working well now, but can we allow them to develop indefinitely? That’s among the questions being asked by some of the largest governmental bodies in the world – such as the EU and UN – who believe stricter rules and regulations are needed to keep technology not only within the realms of rapidly-outdated laws, but make sure they don’t eventually lead to our downfall. To that end, here are some of the latest articles published to Frontiers authored by some of the top researchers in their field as part of the research topic ‘Horizons […]
Robotics and AI
14 Oct 2022
By Suzanna Burgelman, Frontiers science writer Image: Shutterstock.com Researchers have designed a state-of-the-art walking robot that could revolutionize large construction projects in space. They tested the feasibility of the robot for the in-space assembly of a 25m Large Aperture Space Telescope. They present their findings in Frontiers in Robotics and AI. A scaled-down prototype of the robot also showed promise for large construction applications on Earth. Maintenance and servicing of large constructions are nowhere more needed than in space, where the conditions are extreme and human technology has a short lifespan. Extravehicular activities (activities done by an astronaut outside a spacecraft), robotics, and autonomous systems solutions have been useful for servicing and maintenance missions and have helped the space community conduct ground-breaking research on various space missions. Advancements in robotics and autonomous systems facilitate a multitude of in-space services. This includes, but is not limited to, manufacturing, assembly, maintenance, astronomy, earth observation, and debris removal. With the countless risks involved, only relying on human builders is not enough, and current technologies are becoming outdated. “We need to introduce sustainable, futuristic technology to support the current and growing orbital ecosystem,” explained corresponding author Manu Nair, PhD candidate at the University of […]
Robotics and AI
15 Sep 2022
By Peter Rejcek, science writer ERICA being trained on how to have a sense of humor. Image: Inoue et al No one can really agree on what makes each of us laugh, so designing an artificial intelligence (AI) system with a sense of humor is enormously challenging. Researchers at Kyoto University laughed off the challenge by developing an AI that appropriately detects and responds to human laughter at a shared moment during a conversation. This shared-laughter model is another step toward creating more natural interactions between humans and robots. Since at least the time of inquiring minds like Plato, philosophers and scientists have puzzled over the question, “What’s so funny?” The Greeks attributed the source of humor to feeling superior at the expense of others. German psychoanalyst Sigmund Freud believed humor was a way to release pent-up energy. US comedian Robin Williams tapped his anger at the absurd to make people laugh. It seems no one can really agree on the question of “What’s so funny?” So imagine trying to teach a robot how to laugh. But that’s exactly what a team of researchers at Kyoto University in Japan are trying to do by designing an AI that takes its […]
Robotics and AI
07 Jul 2022
By Conn Hastings, science writer Image credit: rtbilder / Shutterstock.com Honeybees use a sophisticated dance to tell their sisters about the location of nearby flowers. This phenomenon forms the inspiration for a form of robot-robot communication that does not rely on digital networks. A recent study presents a simple technique whereby robots view and interpret each other’s movements or a gesture from a human to communicate a geographical location. This approach could prove invaluable when network coverage is unreliable or absent, such as in disaster zones. Where are those flowers and how far away are they? This is the crux of the ‘waggle dance’ performed by honeybees to alert others to the location of nectar-rich flowers. A new study in Frontiers in Robotics and AI has taken inspiration from this technique to devise a way for robots to communicate. The first robot traces a shape on the floor, and the shape’s orientation and the time it takes to trace it tell the second robot the required direction and distance of travel. The technique could prove invaluable in situations where robot labor is required but network communications are unreliable, such as in a disaster zone or in space. Honeybees excel at […]
Robotics and AI
17 May 2022
Image: Shutterstock.com Online Seminar Series 25th May – 22nd June 2022 This seminar series is presented by field chief editor of the Frontiers in Virtual Reality journal, Prof Mel Slater and members of the GuestXR European Project. By now we are likely to have come across horror stories from ‘the metaverse‘ about how easy it is to encounter abuse, racism, misogyny, and have an overall unpleasant experience. On the other hand, social virtual environments have been studied for many years and there is evidence about how people behave in virtual meetings. GuestXR is carrying out research towards how to make immersive virtual meetings realize the goals of the participants. Normally virtual meetings have a purpose, even if that is entertainment, and GuestXR has the ambitious aim of intervening in such meetings to make them fit for their purpose. In this seminar series, partners from the GuestXR project will speak about their early work on these issues, covering a review of virtual meetings (‘collaborative virtual environments’), the utility of agent based models for social modeling, what we can learn from the neuroscience of interpersonal interaction, the role of deep learning for virtual humans, and reflections on the ethical aspects. Scheduled seminars TitleSpeakerDateTimeRegisterThe Affordances and Problems of Meeting in Virtual RealityMel […]
Robotics and AI
27 Jan 2022
By Peter Rejcek, science writer Image credit: Natalia van D / Shutterstock.com The use of x-ray computed tomography has greatly improved the ability of paleontologists to study the morphology of dinosaur fossils. Now, thanks to innovations in artificial intelligence, machines may soon be able to tackle the labor-intensive job of segmentation, a process for classifying similar sections of an image for analysis. Researchers tested different deep neural networks on more than 10,000 CT scans of embryonic skulls with encouraging results. One of the most promising applications of artificial intelligence technologies is the identification of tumors from high-resolution medical imagery. Can the same techniques be used to help paleontologists more quickly analyze similar scans of dinosaur fossils? Researchers reported some of the early answers — and remaining challenges — in a new paper published in Frontiers in Earth Science. Much of what scientists can glean from the fossil record of dinosaurs relies on the morphology of the preserved remains of the animals. To study the interior structure of a specimen generally requires cutting thin sections, effectively destroying the sample in the process. That changed with the introduction of high-resolution scanning technologies like x-ray computed tomography (CT), which basically reconstructs internal structures […]