Showing 20 articles starting at article 61
< Previous 20 articles Next 20 articles >
Categories: Mathematics: General, Mathematics: Statistics
Published What coffee with cream can teach us about quantum physics



A new advancement in theoretical physics could, one day, help engineers develop new kinds of computer chips that might store information for longer in very small objects.
Published Health researchers develop software to predict diseases



IntelliGenes analyzes genomic data to discover biomarkers associated with health traits.
Published Clinical predictive models created by AI are accurate but study-specific, researchers find



Scientists were able to show that statistical models created by artificial intelligence (AI) predict very accurately whether a medication responds in people with schizophrenia. However, the models are highly context-dependent and cannot be generalized.
Published A new mathematical language for biological networks



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.
Published ChatGPT often won't defend its answers -- even when it is right



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.
Published Mathematics supporting fresh theoretical approach in oncology



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.
Published How do you make a robot smarter? Program it to know what it doesn't know



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.
Published New computer code for mechanics of tissues and cells in three dimensions



Biological materials are made of individual components, including tiny motors that convert fuel into motion. This creates patterns of movement, and the material shapes itself with coherent flows by constant consumption of energy. Such continuously driven materials are called 'active matter'. The mechanics of cells and tissues can be described by active matter theory, a scientific framework to understand shape, flows, and form of living materials. The active matter theory consists of many challenging mathematical equations. Scientists have now developed an algorithm, implemented in an open-source supercomputer code, that can for the first time solve the equations of active matter theory in realistic scenarios. These solutions bring us a big step closer to solving the century-old riddle of how cells and tissues attain their shape and to designing artificial biological machines.
Published Nuclear expansion failure shows simulations require change



A team of researchers looked back at a model that predicted nuclear power would expand dramatically in order to assess the efficacy of energy policies implemented today.
Published Optical-fiber based single-photon light source at room temperature for next-generation quantum processing



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 Reverse engineering Jackson Pollock



Researchers combined physics and machine learning to develop a new 3D-printing technique that can quickly create complex physical patterns -- including replicating a segment of a Pollock painting -- by leveraging the same natural fluid instability that Pollock used in his work.
Published Clinical trials could yield better data with fewer patients thanks to new tool



Mathematicians have invented a new statistical tool to analyze multiple outcomes from clinical trials, replacing the 60-year-old standard tool that could only look at binary outcomes (survived/ did not survive). This will allow researchers to ask more complex research questions with trials that involve fewer patients, thereby streamlining the process of getting effective treatments to patients.
Published To excel at engineering design, generative AI must learn to innovate, study finds



A new study reveals the pitfalls of deep generative models when they are tasked with solving engineering design problems. The researchers say if mechanical engineers want help from AI for novel ideas and designs, they'll have to refocus those models beyond 'statistical similarity.'
Published Machine learning used to probe the building blocks of shapes



Applying machine learning to find the properties of atomic pieces of geometry shows how AI has the power to accelerate discoveries in maths.
Published Groundbreaking mathematical proof: New insights into typhoon dynamics unveiled



A research team has provided irrefutable proof that certain spherical vortices exist in a stable state.
Published Sperm swimming is caused by the same patterns that are believed to dictate zebra stripes



Patterns of chemical interactions are thought to create patterns in nature such as stripes and spots. This new study shows that the mathematical basis of these patterns also governs how sperm tail moves.
Published Machine learning unravels mysteries of atomic shapes


New research has used machine learning to find the properties of atomic pieces of geometry, in pioneering work that could drive the development of new results in mathematics.
Published Machine learning models can produce reliable results even with limited training data


Researchers have determined how to build reliable machine learning models that can understand complex equations in real-world situations while using far less training data than is normally expected.
Published Are US teenagers more likely than others to exaggerate their math abilities?


A major new study has revealed that American teenagers are more likely than any other nationality to brag about their math ability.
Published Evolution wired human brains to act like supercomputers


Scientists have confirmed that human brains are naturally wired to perform advanced calculations, much like a high-powered computer, to make sense of the world through a process known as Bayesian inference.