Showing 20 articles starting at article 1
Categories: Computer Science: Artificial Intelligence (AI), Mathematics: Modeling
Published Artificial intelligence improves lung cancer diagnosis
(via sciencedaily.com) Original source A team of researchers has created a digital pathology platform based on artificial intelligence. The platform uses new algorithms developed by the team and enables fully automated analysis of tissue sections from lung cancer patients. The platform makes it possible to analyze digitized tissue samples on the computer for lung tumors more quickly and accurately than before.
Published Self-improving AI method increases 3D-printing efficiency
(via sciencedaily.com) Original source An artificial intelligence algorithm can allow researchers to more efficiently use 3D printing to manufacture intricate structures. The development could allow for more seamless use of 3D printing for complex designs in everything from artificial organs to flexible electronics and wearable biosensors. As part of the study, the algorithm learned to identify, and then print, the best versions of kidney and prostate organ models, printing out 60 continually improving versions.
Published Hydrogels can play Pong by 'remembering' previous patterns of electrical simulation
(via sciencedaily.com) Original source Non-living hydrogels can play the video game Pong and improve their gameplay with more experience, researchers report. The researchers hooked hydrogels up to a virtual game environment and then applied a feedback loop between the hydrogel's paddle -- encoded by the distribution of charged particles within the hydrogel -- and the ball's position -- encoded by electrical stimulation. With practice, the hydrogel's accuracy improved by up to 10%, resulting in longer rallies. The researchers say that this demonstrates the ability of non-living materials to use 'memory' to update their understanding of the environment, though more research is needed before it could be said that hydrogels can 'learn.'
Published Beetle that pushes dung with the help of 100 billion stars unlocks the key to better navigation systems in drones and satellites
(via sciencedaily.com) Original source An insect species that evolved 130 million years ago is the inspiration for a new research study to improve navigation systems in drones, robots, and orbiting satellites.
Published Adaptive 3D printing system to pick and place bugs and other organisms
(via sciencedaily.com) Original source A new adaptive 3D printing system can identify the positions of randomly distributed organisms and safely move them to specific locations for assembly.
Published Peering into the mind of artificial intelligence to make better antibiotics
(via sciencedaily.com) Original source Artificial intelligence (AI) has exploded in popularity as of late. But just like a human, it's hard to read an AI model's mind. Explainable AI (XAI) could help us do just that by providing justification for a model's decisions. And now, researchers are using XAI to scrutinize predictive AI models more closely, which could help make better antibiotics.
Published AI model aids early detection of autism
(via sciencedaily.com) Original source A new machine learning model can predict autism in young children from relatively limited information. The model can facilitate early detection of autism, which is important to provide the right support.
Published Engineers design tiny batteries for powering cell-sized robots
(via sciencedaily.com) Original source A zinc-air microbattery could enable the deployment of cell-sized, autonomous robots for drug delivery within in the human body, as well as other applications such as locating leaks in gas pipelines.
Published Why do researchers often prefer safe over risky projects? Explaining risk aversion in science
(via sciencedaily.com) Original source A mathematical framework that builds on the economic theory of hidden-action models provides insight into how the unobservable nature of effort and risk shapes investigators' research strategies and the incentive structures within which they work, according to a new study.
Published Robot planning tool accounts for human carelessness
(via sciencedaily.com) Original source A new algorithm may make robots safer by making them more aware of human inattentiveness. In computerized simulations of packaging and assembly lines where humans and robots work together, the algorithm developed to account for human carelessness improved safety by about a maximum of 80% and efficiency by about a maximum of 38% compared to existing methods.
Published In subdivided communities cooperative norms evolve more easily
(via sciencedaily.com) Original source Researchers simulated social norms with a supercomputer. Their findings contribute to a deeper understanding of the evolution of social norms and their role in fostering cooperative behavior.
Published Leading AI models struggle to identify genetic conditions from patient-written descriptions
(via sciencedaily.com) Original source Researchers discover that while artificial intelligence (AI) tools can make accurate diagnoses from textbook-like descriptions of genetic diseases, the tools are significantly less accurate when analyzing summaries written by patients about their own health. These findings demonstrate the need to improve these AI tools before they can be applied in health care settings to help make diagnoses and answer patient questions.
Published Delivery robots' green credentials make them more attractive to consumers
(via sciencedaily.com) Original source The smaller carbon footprint, or wheel print, of automatic delivery robots can encourage consumers to use them when ordering food, according to a new study. The suitcase-sized, self-driving electric vehicles are much greener than many traditional food delivery methods because they have low, or even zero, carbon emissions. In this study, participants who had more environmental awareness and knowledge about carbon emissions were more likely to choose the robots as a delivery method. The green influence went away though when people perceived the robots as a high-risk choice -- meaning they worried that their food would be late, cold or otherwise spoiled before it arrived.
Published Think fast -- or not: Mathematics behind decision making
(via sciencedaily.com) Original source New research explains the mathematics behind how initial predispositions and additional information affect decision making.
Published New method for orchestrating successful collaboration among robots
(via sciencedaily.com) Original source New research shows that programming robots to create their own teams and voluntarily wait for their teammates results in faster task completion, with the potential to improve manufacturing, agriculture and warehouse automation.
Published Engineers make tunable, shape-changing metamaterial inspired by vintage toys
(via sciencedaily.com) Original source Common push puppet toys in the shapes of animals and popular figures can move or collapse with the push of a button at the bottom of the toys' base. Now, a team of engineers has created a new class of tunable dynamic material that mimics the inner workings of push puppets, with applications for soft robotics, reconfigurable architectures and space engineering.
Published AI poses no existential threat to humanity, new study finds
(via sciencedaily.com) Original source Large Language Models (LLMs) are entirely controllable through human prompts and lack 'emergent abilities'; that is, the means to form their own insights or conclusions. Increasing model size does not lead LLMs to gain emergent reasoning abilities, meaning they will not develop hazardous abilities and therefore do not pose an existential threat. A new study sheds light on the (until now unexplained) capabilities and shortcomings of LLMs, including the need for carefully engineered prompts to exhibit good performance.
Published Redefining the computer whiz: Research shows diverse skills valued by youth
(via sciencedaily.com) Original source Researchers have uncovered a more nuanced view of what makes an 'ideal' computer science student, challenging long-held stereotypes of geeky, clever, detail-oriented men, who lack social skills.
Published Researchers develop AI model that predicts the accuracy of protein--DNA binding
(via sciencedaily.com) Original source A new artificial intelligence model can predict how different proteins may bind to DNA.
Published Researchers outline promises, challenges of understanding AI for biological discovery
(via sciencedaily.com) Original source Machine learning is a powerful tool in computational biology, enabling the analysis of a wide range of biomedical data such as genomic sequences and biological imaging. But when researchers use machine learning in computational biology, understanding model behavior remains crucial for uncovering the underlying biological mechanisms in health and disease. Researchers now propose guidelines that outline pitfalls and opportunities for using interpretable machine learning methods to tackle computational biology problems.