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Categories: Mathematics: General, Offbeat: Computers and Math

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Researchers are presenting a novel concept for the mathematical modeling of genetic interactions in biological systems. The team has successfully identified master regulators within the context of an entire genetic network. The research results provide a coherent theoretical framework for analyzing biological networks.

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People who received gentle electric currents on the back of their heads learned to maneuver a robotic surgery tool in virtual reality and then in a real setting much more easily than people who didn't receive those nudges, a new study shows.

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An interdisciplinary team consisting of researchers has revealed a striking similarity between the memory processing of artificial intelligence (AI) models and the hippocampus of the human brain. This new finding provides a novel perspective on memory consolidation, which is a process that transforms short-term memories into long-term ones, in AI systems.

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Artificial intelligence can analyze registry data on people's residence, education, income, health and working conditions and, with high accuracy, predict life events.

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Artificial Intelligence (AI) and 3D images of the human tongue have revealed that the surface of our tongues are unique to each of us, new findings suggest. The results offer an unprecedented insight into the biological make-up of our tongue's surface and how our sense of taste and touch differ from person to person.

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Scientists show that breathing may be used to control a wearable extra robotic arm in healthy individuals, without hindering control of other parts of the body.

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Much of the discussion around implementing artificial intelligence systems focuses on whether an AI application is 'trustworthy': Does it produce useful, reliable results, free of bias, while ensuring data privacy? But a new article poses a different question: What if an AI is just too good?

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Artificial intelligence (AI) systems are often depicted as sentient agents poised to overshadow the human mind. But AI lacks the crucial human ability of innovation, researchers have found.

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New miniature virtual reality (VR) goggles provide more immersive experiences for mice living in laboratory settings. By more faithfully simulating natural environments, the researchers can more accurately and precisely study the neural circuitry that underlies behavior. Compared to current state-of-the-art systems, which simply surround mice with computer or projection screens, the new goggles provide a leap in advancement.

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A team has realized a key milestone in the quest for stable, scalable quantum computing. For the first time, the team has created a programmable, logical quantum processor, capable of encoding up to 48 logical qubits, and executing hundreds of logical gate operations. Their system is the first demonstration of large-scale algorithm execution on an error-corrected quantum computer, heralding the advent of early fault-tolerant, or reliably uninterrupted, quantum computation.

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ChatGPT may do an impressive job at correctly answering complex questions, but a new study suggests it may be absurdly easy to convince the AI chatbot that it's in the wrong.

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Artificial hands can be operated via app or with sensors placed in the muscles of the forearm. New research shows: a better understanding of muscle activity patterns in the forearm supports a more intuitive and natural control of artificial limbs. This requires a network of 128 sensors and artificial intelligence based techniques.

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Graphene, that is extremely thin carbon, is considered a true miracle material. An international research team has now added another facet to its diverse properties with new experiments: Experts fired short terahertz pulses at micrometer-sized discs of graphene, which briefly turned these minuscule objects into surprisingly strong magnets. This discovery may prove useful for developing future magnetic switches and storage devices.

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Mathematics, histopathology and genomics converge to confirm that the most aggressive clear cell renal cell carcinomas display low levels of intratumour heterogeneity, i.e. they contain fewer distinct cell types. The study supports the hypothesis that it would be advisable to apply therapeutic strategies to maintain high levels of cellular heterogeneity within the tumour in order to slow down the evolution of the cancer and improve human survival.  

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Researchers have developed a new experiment to better understand what people view as moral and immoral decisions related to driving vehicles, with the goal of collecting data to train autonomous vehicles how to make 'good' decisions. The work is designed to capture a more realistic array of moral challenges in traffic than the widely discussed life-and-death scenario inspired by the so-called 'trolley problem.'

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Scientists have created tiny moving biological robots from human tracheal cells that can encourage the growth of neurons across artificial 'wounds' in the lab. Using patients' own cells could permit growth of Anthrobots that assist healing and regeneration in the future with no nead for immune suppression.

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Through an emerging technology called distributed fiber optic sensing, cables bringing high-speed internet to American households can be used to detect temperature changes, vibrations, and even sound. And periodical cicadas -- the insects that emerge by the billions every 13 or 17 years and make a racket with their mating calls -- are loud enough to be detected. A new study shows how fiber optic sensing could open new pathways for charting populations of these famously ephemeral bugs.

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Engineers have come up with a new way to teach robots to know when they don't know. The technique involves quantifying the fuzziness of human language and using that measurement to tell robots when to ask for further directions. Telling a robot to pick up a bowl from a table with only one bowl is fairly clear. But telling a robot to pick up a bowl when there are five bowls on the table generates a much higher degree of uncertainty -- and triggers the robot to ask for clarification.

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Researchers create transistors combining silicon with biological silk, using common microprocessor manufacturing methods. The silk protein can be easily modified with other chemical and biological molecules to change its properties, leading to circuits that respond to biology and the environment.

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Hopfions, magnetic spin structures predicted decades ago, have become a hot and challenging research topic in recent years. New findings open up new fields in experimental physics: identifying other crystals in which hopfions are stable, studying how hopfions interact with electric and spin currents, hopfion dynamics, and more.