A new study by MIT researchers reveals that Arctic eddies are driven by ice friction and ocean stratification, leading to a seasonal shift in their activity. The findings suggest that as the Arctic loses summertime ice, waters will become more turbulent, with implications for climate change predictions.
A new model developed by MIT researchers shows that delaying state reopenings could have prevented over 100,000 infections in Texas and Florida. The model calculates the 'quarantine strength' of a region, reflecting its ability to keep infected individuals from infecting others.
Researchers at MIT have developed a silicon chip with fully integrated LEDs, enabling state-of-the-art sensor and communication technologies. The advance could lead to cheaper manufacturing, improved performance, and increased efficiency in nanoscale electronics.
Advanced metal alloys are crucial in modern life, but creating new ones with specific properties has been limited by researchers' understanding of grain boundary behavior. A team at MIT used computer simulations and machine learning to predict alloy properties, showing that many previously ruled-out combinations are feasible.
A new paper suggests that traditional deterrence strategies in cybersecurity can lead to escalation and counterproductive responses. The authors propose a more judicious approach involving selective retaliation based on improved detection and information gathering.
A team of researchers has developed a method to tease out primordial gravitational waves from gravitational-wave data. The new approach allows for the detection of faint signals that could reveal insights into the early universe's conditions and processes.
Researchers at MIT have found a way to overcome oxide trapping issues, allowing InGaAs transistors to compete with silicon technology. The alloy's electron transport properties enable faster calculations and improved energy efficiency.
A study by MIT researchers suggests that industrial parks in China with strong political connections underperform their counterparts, leading to a 5.2% decrease in GDP per capita. The research found that about a quarter of provincial-level party secretaries have ties to city-level party secretaries, influencing economic decisions.
MIT physicists create a perfect fluid in the laboratory, capturing its sound waves to measure viscosity. The results confirm that strongly interacting fermion gas behaves as a perfect fluid, with properties applicable to studying neutron stars and the early universe's plasma.
A new diagnostic tool has been developed by MIT engineers to detect both fatty liver disease and fibrosis, which can lead to liver failure. The sensor uses nuclear magnetic resonance (NMR) technology to measure water diffusion in tissue, revealing the presence of fatty or scarred tissue with high accuracy.
A new microscopy technique allows direct observation of droplet nucleation, enabling precise mathematical descriptions of the process. The technique improves contrast and resolution, revealing a different relationship between site density and nearest-neighbor function.
Researchers developed a combined hardware and software printing system that uses off-the-shelf varnishes to finish objects with realistic, spatially varying gloss patterns. The technology has potential applications in fine art reproduction and prosthetic design, offering near-flawless replicas and more realistic-looking prosthetics.
Researchers have discovered subnetworks within BERT that can complete the same task more efficiently, reducing computing costs and increasing accessibility to state-of-the-art natural language processing. The 'lottery ticket hypothesis' identifies these leaner subnetworks, which can be repurposed for multiple tasks.
Researchers have found that frozen hydrate formations can facilitate the release of methane gas from deep-sea environments. By creating channels and directing flow, hydrate formation enables the gas to persist in its gaseous form for longer periods.
Researchers at MIT have created a system called RoboGrammar that optimizes the shape of robots for traversing different terrain types. The system uses a graph grammar inspired by arthropods to generate hundreds of thousands of potential robot structures, which are then evaluated using a neural network algorithm.
A new fluorescent imaging technique allows scientists to observe up to five different molecule types at a time, enabling them to study complex signaling networks and their relationships. By identifying two populations of neurons with distinct calcium signaling dynamics, researchers hope to understand how they encode long-term memories.
A new study from MIT finds that long periods of social isolation activate the brain's substantia nigra region in a way similar to food cravings. The researchers used an innovative isolation method to induce strong feelings of loneliness, and found that the resulting craving signal was correlated with self-reported levels of loneliness.
Researchers suggest that the mechanical properties of spike proteins can account for a strategy used by coronaviruses to trick cells into letting the viruses inside. The study found strong correlations between the rate and intensity of the spikes' vibrations and infectivity, as well as lethality rates.
A neural network has been developed to estimate uncertainty, allowing for safer outcomes in AI-assisted decision-making. The 'deep evidential regression' approach accelerates uncertainty estimation, enabling faster and more accurate confidence levels, reducing the risk of errors.
Researchers created tiny building blocks called voxels that exhibit special properties and can be assembled into large, complex objects. Examples include cars, robots, and wind turbine blades that respond to environmental stimuli in predictable ways.
A team of researchers at MIT and IIT developed a solar-powered system to generate pressurized steam for autoclaving medical tools. The system uses optically transparent aerogel to trap heat and can maintain safe sterilization conditions without electricity or fuel.
A new analysis by MIT researchers details the underlying issues causing cost overruns on US nuclear power plants, highlighting ways to reimagine engineering strategies to reduce delays and expenses. The study suggests that designing plants with resilience to variable construction conditions can help minimize costs.
A new system called MCUNet enables artificial intelligence on household appliances while improving data security and energy efficiency. The technology uses compact neural networks to deliver unprecedented speed and accuracy for deep learning on IoT devices.
MIT chemists determine the molecular structure of a key coronavirus protein, E, which forms an ion channel that plays a key role in viral replication and inflammation. The study may lead to the development of alternative small molecules that target this channel with high affinity.
Researchers at MIT developed a two-layered material that provides extended cooling using evaporation, inspired by camel fur. The system can keep perishable goods fresh for up to eight days and has potential applications in food packaging and pharmaceutical storage.
An MIT-led team simulates nuclear interactions, finding a universal short-range pairing behavior that applies to all types of atomic nuclei. This discovery helps investigate neutron stars and heavy radioactive nuclei.
A new MIT study found that Covid-19 super-spreading events, where one person infects many others, are more common than expected. The researchers developed a mathematical model that shows limiting gatherings to 10 or fewer people could significantly reduce the number of super-spreading events and lower overall infections.
Researchers at MIT and University of Waterloo developed a high-power, portable terahertz quantum cascade laser that can generate powerful sensing and imaging capabilities. The device can be used for pinpointing skin cancer, detecting hidden explosives, and analyzing gases, drugs, and products.
The new Underwater Backscatter Localization (UBL) system uses piezoelectric materials to reflect modulated signals, providing positioning information at net-zero energy. In shallow water, the researchers employed frequency hopping and reduced bitrate to overcome reflection issues, enabling precise tracking of moving objects.
As people age, their motivation to learn declines. Researchers identified a brain circuit critical for maintaining this motivation and found that it can be boosted in older mice by reactivating the circuit, which was previously shown to suppress motivation.
A team of MIT researchers has designed a skin-like device that can measure small facial movements in patients with ALS, allowing them to communicate through a variety of sentiments. The wearable sensor is thin, camouflaged, and easy to use, achieving an accuracy rate of about 75% in distinguishing between different movements.
A team of MIT chemical engineers has developed a system to continuously remove carbon dioxide from waste gases using an electrochemically assisted membrane. The membrane's permeability can be switched on and off at will, allowing for continuous operation without moving parts or wasted space.
Researchers at MIT developed a machine-learning algorithm that can predict the effectiveness of drug compounds against tuberculosis and other diseases. The algorithm, which incorporates uncertainty values to account for data variability, identified promising compounds targeting a critical protein required by the bacteria.
Researchers at MIT have developed a more practical and efficient solar-powered system that can extract drinkable water from dry air, doubling its output compared to an earlier version. The new system uses a readily available adsorbent material, increasing scalability and feasibility for remote regions with limited access to water.
MIT researchers developed a new technique to recapture lost information from single-cell RNA-sequencing, enabling the extraction of 10 times more data per cell. This breakthrough helps identify subtle differences between healthy and dysfunctional cells, with potential applications in disease diagnosis and treatment.
Researchers found that compressing cells can trigger cell growth and division, increasing stem-cell state. Squeezing intestinal cells activates specific proteins, leading to larger organoids with more stem cells on their surface.
A new study describes a vaccine that triggers an immune response against an influenza protein segment rarely mutated by the virus, raising the possibility of effective protection against seasonal and pandemic strains. The vaccine uses nanoparticles coated with flu proteins to train the immune system to create desired antibodies.
Researchers create nanoparticles that can target specific genes in bone marrow cells, showing promise for treating heart disease by reducing inflammation. The approach could also enhance stem cell yields for patients undergoing transplants.
Researchers found that epigenomic modifications, specifically changes to chromatin structure, control the encoding and retrieval of memories. The study reveals a four-stage process where genes become activated and primed for expression during memory recall.
By straining diamond to change its electronic properties, researchers can dial it from insulating to highly conductive, or metallic. This breakthrough could lead to the development of new optical devices, quantum sensors, and high-efficiency solar cells.
The SPARC project has published seven research papers outlining the physics behind the ambitious reactor design, with calculations suggesting a Q ratio of 10 or more. The device aims to achieve a 'burning plasma,' a self-sustaining fusion reaction, which is crucial for developing practical power-generating plants.
Astronomers have discovered an Earth-sized 'pi planet' called K2-315b, which orbits its star every 3.14 days and has a surface temperature of around 350 degrees Fahrenheit, making it unlikely to support life.
The researchers designed a single flat piece of glass with microscopic structures to manipulate light and produce crisp, 180-degree panoramic images. The new design enables ultra-wide-angle lenses to be integrated into smartphones, laptops, and medical imaging devices.
A new CRISPR-based diagnostic, STOPCovid, has shown improved sensitivity in detecting Covid-19 cases, with a detection rate of 93%. The test can produce results in 30 minutes to an hour and is being developed for point-of-care use.
Researchers at MIT and the University of Alcalá in Spain discovered evidence of hot springs near early human archaeological sites in Olduvai Gorge. The proximity of these hydrothermal features raises the possibility that early humans could have used hot springs as a cooking resource, boiling fresh kills before controlling fire.
Researchers at MIT have developed a Velcro-like food sensor that uses an array of silk microneedles to detect spoilage and bacterial contamination. The sensor, made from edible proteins and bioinks, changes color when it senses contaminants like E. coli or pH levels associated with spoilage.
Researchers have detected a signal from the most massive black hole merger observed in gravitational waves, producing an 'intermediate-mass' black hole with a mass of up to 1,000 solar masses. The merger released energy equivalent to eight suns and has raised questions about the formation of such massive black holes.
Researchers suggest a novel process to explain the collision of a large black hole and a much smaller one, proposing that the more massive black hole was a product of a prior merger. This 'hierarchical' merging could generate a merger with a high mass ratio and spin.
Researchers at MIT have found that cosmic rays and low-level environmental radiation can cause decoherence in superconducting qubits, limiting their performance. This effect could limit the practicality of quantum computing within a few years, prompting scientists to explore shielding or design improvements.
Researchers create temporary synthetic coating that can be adapted to deliver drugs, aid in digestion, or prevent nutrient absorption. The coating, made from dopamine molecules, can improve lactose digestion efficiency up to 20-fold and potentially treat conditions like diabetes and obesity.