Scientists at Stevens Institute of Technology have created a method to encode more information into a single photon, enabling faster and more powerful quantum communication tools. The twisty photon technology uses orbital angular momentum to boost the bandwidth of quantum communication systems.
Researchers at Stevens Institute of Technology have developed an algorithm that can accurately track patients' level of consciousness using simple physiological markers. The algorithm proved as accurate as a trained clinical examiner, only slightly less accurate than expensive imaging equipment like fMRI machines.
The Stevens ACES program has been awarded a $750,000 grant to expand its STEM education initiatives in underserved communities. The program provides full-tuition scholarships and academic support to high school students from these communities, with a remarkable success record for inspiring students to pursue STEM careers.
Ballistics experts create first precise model of a football's flightpath, shedding light on what separates good passes from bad ones. The study found that the Magnus effect has little impact on a spinning football and that swerving is linked to the ball's orientation at the end of the pass.
A groundbreaking cognitive science study at Stevens Institute of Technology shows how rare digital collectibles, like NFTs, can lose their value over time due to distorted information landscapes. Researchers found that a focus on rarity can become self-defeating, leading collectors to assign less value to unique features.
Researchers at Stevens Institute of Technology developed an underwater robot capable of mapping its environment, tracking its location, and planning safe routes in complex marine environments. The breakthrough enabled the robot to accurately map a busy harbor in real-time using active SLAM algorithms.
Researchers at Stevens Institute of Technology are developing a low-cost handheld device that can accurately diagnose skin cancers in just a few seconds. The device uses millimeter-wave imaging, which reflects differently on cancerous and healthy tissue, allowing for precise detection.
Researchers developed an AI algorithm to model first impressions and accurately predict how people will be perceived based on a photograph of their face. The algorithm's findings align with common intuitions or cultural assumptions, such as people who smile being seen as more trustworthy.
Researchers at Stevens Institute of Technology are pushing through technical barriers in organ printing by leveraging decades-old technique and computational modeling. The team aims to create any type of organ at any time, including skin on an open wound, using microfluidic bio-printing.
Samantha Kleinberg's project will analyze data from diverse populations to find causal relationships between diets and specific health outcomes. The goal is to tailor diets to individual characteristics and circumstances for better health outcomes.
Lesions in white matter carry messages between neurons, damaging it and leading to cognitive deficits. Researchers found that strain on ventricular walls explains where lesions develop in the aging brain.
Researchers led by Stevens Institute of Technology's Sang Won Bae developed a machine-learning model using smartphone data to detect cannabis intoxication in young adults. The study combined features such as GPS, noise, light, and activity levels to predict intoxication with high accuracy. This technology has the potential to provide e...
The Center for Research toward Advancing Financial Technologies, CRAFT, brings together industry and academic partners to conduct high-impact research in fintech. Initial research areas focus on cybersecurity, blockchain, AI, and machine learning, aiming to drive innovation and address challenges facing the financial services industry.
A new study by Stevens Institute of Technology researcher finds that human-caused sea level rise contributed $8.1 billion to Hurricane Sandy's damage, with an additional 71,000 people and 36,000 homes affected. The research uses novel modeling techniques to quantify the costs of storm damage caused by climate change.
A new imaging technique, 3D amplified MRI (aMRI), visualizes the brain's movement in real-time and in stunning detail. This method holds diagnostic potential for detecting obstructive brain disorders and aneurysms, which could lead to better treatment strategies.
Researchers developed a machine learning-powered platform, OC-SMART, to process ocean color in satellite images, solving a 30-year-old problem in retrieving data from coastal regions and open ocean areas. The tool provides useful data on chlorophyll concentrations and phytoplankton presence, helping to understand the ocean's state.
Researchers at Stevens Institute of Technology have developed a chip-based photon source that's 100 times more efficient than any previous device, allowing the creation of tens of millions of entangled photon pairs per second. The new source uses nanoscale microcavities to create entangled photons with virtually no waste energy.
Researchers at Stevens Institute of Technology predict that 100-year and 500-year flood levels will become regular occurrences in Jamaica Bay, New York by the end of the century. Climate change is expected to lead to more intense and frequent storms, causing greater flooding even if storm intensity remains the same.
The U.S. Department of Defense has established a new Acquisition Innovation and Research Center (AIRC) at Stevens Institute of Technology to enhance the defense acquisition system. Led by Dinesh Verma, the center aims to promote academic analysis and innovative policy alternatives to improve defense acquisition outcomes.
Hady Salloum and his team at Stevens Institute of Technology will commercialize an underwater security system to protect ports, ships, and supply chains from surface and underwater intruders. The system uses patented technology to detect human divers and small boats, ensuring safer travel, shipping, and logistics.
Researchers at Stevens Institute of Technology developed an A.I.-powered forecasting tool that incorporates location data to predict influenza outbreaks up to 15 weeks in advance with an accuracy increase of 11%. The algorithm identifies hidden patterns by encoding flu infections as interconnected regional clusters, enabling better res...
Researchers developed an AI algorithm that can accurately diagnose Alzheimer's without expensive scans or in-person testing, with over 95% accuracy. The software also explains its conclusions, allowing physicians to double-check the accuracy of its diagnoses.
Researchers at Stevens Institute of Technology reveal how bombardier beetles biosynthesize chemicals to create fuel for their explosions. The study shows the beetles' biochemistry is intricate, with toxic chemicals derived from coal tar and benzene-like compounds metabolized from hydroquinone.
Researchers at Stevens Institute of Technology have developed an atomically thin magnetic semiconductor that enables faster processing speed, less energy consumption and increased storage capacity. The material works at room temperature and can be integrated with existing semiconductor technology.
The National Science Foundation has selected Stevens Institute of Technology to lead the first-ever IUCRC center on financial technology and science, bringing together partners to conduct research relevant to the industry. The five-year award aims to find innovative solutions for complex challenges facing the fintech industry, focusing...
Stevens Institute of Technology researchers are using a wind tunnel to measure the flow of air at previously inaccessible hypersonic speeds. By tagging and illuminating gas with laser beams, they aim to understand how boundary layers transition from order to chaos, affecting drag and heat transfer.
Researchers are using a new variant of reinforcement learning to train robots to predict multiple possible outcomes and choose the safest option. The algorithm will assign points to different outcomes, such as rewarding safer options and penalizing those that put the robot in danger.
Researchers at Stevens Institute of Technology developed an AI-powered smart insole that turns any shoe into a portable gait-analysis laboratory. The technology provides accurate real-time data on stride length, speed, and power, overcoming limitations of existing wearable technologies.
Researchers at Stevens Institute of Technology have developed a 3D imaging system that uses light's quantum properties to create images 40,000 times crisper than current technologies. The system, which employs Quantum Parametric Mode Sorting (QPMS), reduces single-photon noise by exponentially cleaning up noisy images.
A study found that people become less confident in their choices when faced with new information related to familiar topics like finances and health, suggesting a critical gap in understanding how new information interacts with prior knowledge. This highlights the need for tailored information based on individual mental models.
High self-control individuals experience food as tastier and more satisfying when touching food directly with their hands, eating more of it. Direct touch triggers an enhanced sensory response, influencing how people evaluate food. This effect persists even when self-control is primed or manipulated.
New research finds that Americans perceive the likelihood of a nuclear weapon detonating on US soil as a coin toss, with younger generations being more apathetic about nuclear topics. Media use plays a significant role in shaping perceptions, particularly among Millennials and Gen Z.
Researchers at Stevens Institute of Technology have completed the first census of Wikipedia's 1,601 bots, shedding light on their functions and interactions with human users. The study found that bots play nine core roles, including fixers, connectors, and protectors, which together account for about 10% of all activity on the site.
Researchers at Stevens Institute of Technology developed a meal-detection system that can accurately calculate carbohydrate intake in real-time, allowing for faster insulin administration. The system's estimates are remarkably accurate, outperforming previous systems by up to 17 grams.
The professor aims to improve radio frequency sensing systems and enhance consumer wireless communications by sharing the limited electromagnetic spectrum. This collaborative effort enables radar to detect targets with enhanced sensing capability and higher energy efficiency, while allowing wireless communications to access more spectrum.
Researchers at Stevens Institute of Technology have developed a nano-scale chip that facilitates photon interactions with much higher efficiency than any previous system. The breakthrough could enable the creation of powerful quantum computing components such as photonics logic gates and entanglement sources.
Samantha Kleinberg is developing artificial intelligence that provides personalized information to patients, enabling them to actively manage their health. The research focuses on using wearable data and machine learning to identify causes of diseases and develop more usable algorithms that consider human factors.
Stevens researchers create technology to detect skin lesions and determine if they are cancerous or benign using millimeter-wave radiation. The device could reduce unnecessary biopsies by 50% and disrupt the $5.3 billion diagnostic market for skin cancer.
A new model developed by Stevens Institute of Technology researchers can predict how conservation approaches can reduce demand for phosphorus, a vital resource for feeding the world. The model shows that collective diet changes, such as reducing meat consumption or switching to lower-feed meats, can significantly reduce phosphate minin...
Researchers have discovered that particles and even time itself can exist in a state of superposition, blurring the lines between cause and effect. This phenomenon has significant implications for quantum computing, potentially leading to breakthroughs in operations performance.
Developed by Stevens Institute of Technology researchers, wearable motion sensors can record vibrations sent through a mother's abdomen when her baby's heart beats or squirms. These non-invasive devices could reduce stillbirths worldwide and provide vital insights into fetal health.
Researchers from Stevens Institute of Technology have identified two brain regions vulnerable to side hits that lead to concussions. The study reveals how rotational accelerations cause mechanical vibrations in these regions, resulting in tissue and cell damage. This knowledge can help develop safer sports helmets.
Yeganeh Hayeri, an expert on autonomous vehicles and level three automation, has been selected among 82 of the nation's brightest engineers. She studies the impact of driverless cars on transportation, human behavior, environment, and society.
Researchers at Stevens Institute of Technology are developing tools to ensure programs run correctly in specific situations and determine if software can produce unwanted results. Their approach uses algorithms and temporal logic to model a program's structure and behavior, allowing for 100% guarantee against bugs.
Researchers at Stevens Institute of Technology have developed a new encryption system called matchmaking encryption, which allows for secure and private communication. The system uses real-time interactions to verify participants' identities, enabling messages to be sent on a 'dead drop' basis and read at a later date.
Researchers from Stevens Institute of Technology have mapped the global flow of phosphorus, identifying regions with significant demand and potential for recapturing and recycling. The study highlights opportunities for increasing recycling in developing and developed economies.
A financial model developed by Stevens Institute of Technology assistant professor Hamed Ghoddusi explores the effects of the Tax Cuts and Jobs Act on homebuying. The SALT deduction cap has a predictable impact on property tax collections, particularly in high-income states.
Researchers at Stevens Institute of Technology have developed a self-defensive surface for medical implants that releases micro-doses of antibiotics when bacteria approach. The microgels' behavior is regulated by electrical charges and can be applied to various medical devices, potentially reducing surgical infections.
Researcher Ramana Vinjamuri receives a $500,000 NSF CAREER Award to study how the brain controls complex hand movements and create near-natural robot hands for individuals with disabilities. His goal is to improve daily tasks and develop cybersecurity applications.
Researchers at Stevens Institute of Technology found that smart car technologies such as lane-keeping warnings and cruise control can reduce fuel consumption by 27 to 119 gallons per year, saving drivers between $60 and $266 each year.