Researchers aim to understand how neurons navigate to form synapses, a process guided by molecular cues within growth cones. The development of sensitive probes could provide vital information on nervous system development and repair.
Researchers aim to develop low-cost devices that can monitor building energy consumption and provide suggestions for optimization. The project will use data from various residential buildings, including those operated by non-profits, to inform energy-saving decisions.
Researchers at Carnegie Mellon University are developing automated methods to discover astrophysical phenomena by analyzing massive amounts of cosmological data. These methods will enable scientists to identify larger patterns in observational data, providing insights into the evolution of the universe. The initiative aims to capitaliz...
Rohit Negi will lead a team of experts to analyze the robustness of cyber-physical systems, including electric and water grids. The goal is to develop methods to monitor and ensure the robustness of these networks, which play a critical role in daily life.
The Carnegie Mellon Mobile & Immersive Learning for Literacy in Emerging Economies (MILLEE) project will conduct a controlled study involving 800 children in 40 villages in Andhra Pradesh, India. The goal is to gauge the effectiveness of mobile phone-based games for teaching English lessons.
Researchers at Carnegie Mellon University created a server architecture that uses low-power, embedded processors and flash memory to handle more queries with less energy. The Fast Array of Wimpy Nodes (FAWN) cluster can operate on less energy than a 100-watt light bulb, making it an attractive option for data-intensive applications.
Ole Mengshoel, a senior systems scientist at Carnegie Mellon Silicon Valley, has been awarded a two-year, $498,000 grant from the National Science Foundation to create new computer tools for improving and integrating data visualization and analysis in large utility projects. The project aims to develop novel monitoring and data mining ...
A multidisciplinary team led by Carnegie Mellon University will develop revolutionary computational tools to advance science in fields like cancer treatment and aircraft safety. The researchers aim to improve understanding of pancreatic cancer and atrial fibrillation using Model Checking and Abstract Interpretation techniques.
Computational biologists at Carnegie Mellon University have developed a statistical method to uncover genome variations underlying complex disease syndromes. The graph-guided fused lasso (GFlasso) method showed increased power in detecting gene variants associated with complex symptoms compared to other methods.
Carnegie Mellon researchers, led by Jean VanBriesen, will study water quality in the Monongahela River using a $100,000 grant. The team will collect data on bromide and sulfate levels associated with Marcellus Shale gas production and acid mine drainage.
A new set of policy briefs from Carnegie Mellon University recommends a uniform regulatory environment to support large-scale deployment of carbon sequestration technology in the US. The team proposes an adaptive two-stage approach to regulation and specific changes to federal law and agency rules to address regulatory and legal barriers.
Gellman is leading a research team to create solid surfaces that can select between 'left-handed' and 'right-handed' versions of complex molecules, improving efficiency in chemical processes. The goal is to control chemical reactions to yield only the desired product, reducing waste and environmental impact.
Researchers at Carnegie Mellon University have found that an individual's date and state of birth are sufficient to guess their nine-digit Social Security number with great accuracy. The study also highlights the risks of identity theft, which cost Americans almost $50 billion in 2007 alone.
Kris Matyjaszewski developed an environmentally friendly form of Atom Transfer Radical Polymerization (ATRP), reducing copper catalyst levels by 1,000 times. This breakthrough has led to the creation of safer materials with tailored functionalities for various industries.
A new algorithm developed by Carnegie Mellon University has revealed how genetic networks in fruit flies evolve during their life cycle. The Tesla algorithm uses machine learning techniques to analyze the rewiring of these networks over time, providing insights into how they respond to stimuli and become dysfunctional.
Researchers at Carnegie Mellon University have developed two new tools, Jadeite and Apatite, to help programmers select APIs in Java. These tools employ human-centered design techniques to significantly reduce the time and guesswork associated with finding the right classes and methods of APIs.
Researchers identified backup genes with similar sequences that can replace failed master genes, explaining experimental results and highlighting the robustness of cells as computational devices. The study found that removing a master gene and its immediate backup has little effect, but removing both has significant consequences.
Researchers at Carnegie Mellon University have identified a key regulatory gene network that plays a crucial role in the spread of common and deadly yeast infections. The study reveals how the Zap1 protein regulates biofilm matrix production, which helps pathogens thrive and resist treatment.
Nico Habermann was honored by the Association for Computing Machinery's SIGSOFT with its inaugural Influential Educator Award for his lasting impact on software engineering education. He advised over 100 students who went on to become professors, establishing a profound legacy in the field.
A new study by Carnegie Mellon University researchers estimates that after five years of staying clean, an individual with a criminal record is no greater risk of committing another crime. The study suggests it may be safe to hire ex-offenders with clean records, providing employers with data to inform their hiring decisions.
Researchers Adams and Pierce tested a controversial hypothesis that solar activity causes global warming by reducing cloudiness. They found changes in atmospheric ions and particle formation resulting from variations in the sun and cosmic rays were too small to affect climate, laying the hypothesis to rest.
Researchers identified a new anticonvulsant compound that eliminates seizures in a model of epilepsy by inhibiting ion channels associated with the disease. The study found that blocking these channels can prevent subsequent seizures, offering a promising treatment for epilepsy.
The Pittsburgh Science of Learning Center (PSLC) will continue its research on how people learn with a renewed $25 million NSF grant. The PSLC conducts experiments in over 50 classrooms across the US to understand learning styles and habits.
Researchers have developed a new method for systematically identifying bugs in aircraft collision avoidance systems and other cyber-physical systems. The approach, led by Edmund M. Clarke and Andre Platzer, has detected flaws in aircraft collision avoidance maneuvers and verified the European Train Control System.
Dana S. Scott, a renowned mathematician, has been awarded the Sobolev Institute Gold Medal for his fundamental contributions to contemporary logic and domain theory. He will receive the award at the Malt'sev Meeting in Novosibirsk, Russia.
Ross Finman, a junior in electrical and computer engineering, has won the $10,000 National Space Club Award for pursuing studies in science or engineering. The award recognizes his hard work and dedication to advancing scientific knowledge through space research and exploration.
A new study by Carnegie Mellon researchers found that particulate matter in downtown Pittsburgh is more affected by major sources to the city's southeast than previously thought. The most polluted days often occur when winds are from the southeast, increasing PM levels above the National Air Quality Standard.
Researchers at Carnegie Mellon University have established evidence of a liquid-liquid phase transition in supercooled silicon, revealing two distinct forms of liquid silicon with unique properties. This breakthrough uses rigorous computer calculations and quantum mechanics to gain a better understanding of materials behavior.
Manuela Veloso, a professor at Carnegie Mellon University, has won the Autonomous Agents Research Award for her influential research in artificial intelligence and robotics. Her work on robot soccer has emerged as an important tool for studying autonomous agent cooperation in complex environments.
Researchers found that two small robots weighing 330 pounds each can build a berm around a landing site in under six months to block the sandblasting effect. The hard-surface landing pad using indigenous materials could reduce this need, allowing for more efficient cargo transfer and reducing damage to the outpost.
Researchers harness supercomputing to recreate how galaxies form, develop, and collapse. The most detailed recreation of the universe's evolution to date is created using computer simulations that incorporate black hole physics.
The university's M. Granger Morgan will unveil a novel 'two-stage' approach for developing new energy technologies that can help society reduce dangerous greenhouse gas emissions. The plan includes the creation of an independent Federal Carbon Sequestration Commission to make recommendations for future regulations.
Researchers are developing ways to empower consumers and transit service providers in designing accessible transportation equipment, information services, and physical environments. A new Rehabilitation Engineering Research Center (RERC) will focus on creating a public Web site where riders can report on their experiences and collabora...
Researchers have identified reduced white matter circuitry in brains of individuals with congenital prosopagnosia, a condition that affects face recognition. This discovery may lead to further understanding of other neurodevelopment disorders.
Researchers at Carnegie Mellon University are developing automated farming systems using sensors, autonomous vehicles, and data analysis to monitor tree health and crop status. The systems aim to provide growers with early warnings of diseases and insect infestations, as well as continuous updates on crop status.
The collaboration aims to support continued development of the open-source system, enabling a wider audience to access educational resources. The new version, Alice 3, will feature drag-and-drop interfaces and essential arts assets from popular PC games.
A team of Carnegie Mellon researchers has developed a new computational model that sheds light on the brain's processing of natural scenes. The model analyzes patterns in images and statistically characterizes them to determine which patterns are most likely associated with each other, enabling the brain to make sense of visual stimuli.
Scarab, a robotic system designed for lunar prospecting, will simulate a lunar mission to extract water, hydrogen, and oxygen from Hawaii's Mauna Kea. The robot will use a Canadian-built drill to obtain geologic cores, which will be chemically analyzed on-board instruments developed by NASA.
Carnegie Mellon University's Western Pennsylvania Brownfields Center will expand its brownfields research and education with a $900,000 EPA grant. The funding will support the development of an interactive tool to assess carbon footprints and energy impacts from brownfield development.
The symposium will showcase cutting-edge research on autism, including a follow-up study of Hans Asperger's original patients and investigations into the brain basis of social difficulties. Researchers will present their latest findings on the disorder, shedding light on its fundamental nature and future directions.
Researchers at Carnegie Mellon University's Robotics Institute are adapting their self-driving vehicle technology to create autonomous haul trucks for Caterpillar's largest haul trucks, each with payload capacities of 240 tons or more. The goal is to provide productivity gains through consistency in processes and improve mine safety.
The Perspectives system uses friendly sites to authenticate Web sites, providing an extra measure of security in cases where certificate authorities are not used. The system can detect suspicious sites and warn users about potential attacks.
Researchers have developed a novel imaging approach using fluorocarbon labeling to visualize cell populations of interest in living bodies. This technology enables non-invasive location, tracking, and counting of specific immune cells, aiding cancer research and treatment.
Greg Ganger, a Carnegie Mellon professor, will collaborate with HP Labs on a research initiative focused on data storage infrastructure issues. The award includes on-campus support for one graduate student researcher and aims to strengthen the collaboration between HP's scalable storage researchers and Carnegie Mellon's Parallel Data Lab.
Iron-TAMLs, a type of environmentally friendly catalyst, have been shown to be highly effective in reducing and cleaning up pollutants. The catalysts convert harmful substances into less toxic ones when paired with hydrogen peroxide, making them a promising alternative to existing industrial practices.
Researchers at Carnegie Mellon University developed hydrogels that promote the growth of pre-osteoblast cells, aiding bone development. These gels interact with growth factors like demineralized bone matrix, providing scaffolding for bone cell proliferation and new tissue formation.
Researchers urge companies to use comprehensive screening tools to analyze carbon footprints across all tiers of their supply chain. This will enable them to make informed decisions on reducing their environmental impact.
Carnegie Mellon researchers digitize old books with reCAPTCHA, achieving industry-standard transcription accuracy. Over 100 million CAPTCHAs are solved daily, equivalent to hundreds of thousands of hours of human effort.
A Carnegie Mellon University brain imaging study found that intensive remedial instruction can permanently rewire the brain to overcome reading deficits in dyslexic students. The study showed increased brain activity in cortical regions associated with reading and neural gains solidified over time.
A new Carnegie Mellon University study finds that low-income individuals spend a larger percentage of their incomes on lottery tickets due to the hope of improving their financial situations. The research suggests that lotteries exploit poor people's desires to escape poverty, exacerbating income inequality.