MIT researchers have developed a method to reveal the inner workings of protein language models, which can accurately predict proteins suitable for drug or vaccine targets. By analyzing sparse representations of proteins, they identified key features that drive these predictions.
The research, led by MIT mechanical engineering graduate student Marwa AlAlawi, developed a reconfigurable antenna using auxetic metamaterials that can change its frequency range by changing its physical shape. The device is durable, inexpensive, and can be fabricated using a laser cutter.
The study reveals a connection between the size of pores in graphite and its swelling and degradation under radiation. Researchers found that irradiated samples showed a fractal self-similarity in their pore structures, which could lead to more accurate predictions of graphite's lifespan in nuclear reactors.
Researchers used machine-learning models to design nanoparticles that can deliver RNA to cells more efficiently. The approach accelerated the identification of optimal ingredient mixtures in lipid nanoparticles, leading to better delivery vehicles for RNA vaccines and mRNA therapies. This could dramatically speed up the development of ...
Researchers designed over 36 million compounds using generative AI algorithms and computationally screened them for antimicrobial properties. The top candidates show promise against Neisseria gonorrhoeae and Staphylococcus aureus (MRSA) by novel mechanisms that disrupt bacterial cell membranes.
MIT researchers developed microparticles containing iron or iodine to fortify foods and beverages, addressing global iron deficiency. The particles can be easily added to staple foods and drinks, reducing the risk of nutrient deficiencies.
A new MIT study identifies key innovations that led to the dramatic cost reduction of solar panels since the 1970s. The researchers found that technical advances from various industries, including semiconductor fabrication and metallurgy, played a pivotal role in reducing costs. These findings can aid policymakers and R&D investmen...
Scientists found that ionic liquids, formed from sulfuric acid and organic compounds, could persist on planets too warm for water to exist. This discovery increases the habitability zone for rocky worlds, suggesting life might be possible without water.
A large-scale modeling study led by MIT researchers reveals that dynamically adjusting vehicle speeds can cut annual city-wide intersection carbon emissions by 11-22%. Implementing eco-driving measures could also result in a 25-50% reduction in CO2 emissions if only 10% of vehicles adopt the technology.
Researchers used machine learning to identify iron-containing compounds that can be added to polymers, making them more resistant to tearing. The study could lead to more durable plastics and reduce plastic waste.
A new study reveals that the brain has distinct regions for processing 'things', such as rigid objects, versus 'stuff', like liquids or sand. These findings may help the brain plan interactions with different materials, similar to artificial physics engines used in video games.
Researchers designed a novel transmitter chip that significantly improves energy efficiency in wireless communications. The compact, flexible system employs a unique modulation scheme to encode digital data into a wireless signal, reducing error and leading to more reliable communications.
A new study by MIT researchers introduces a method for machine learning with symmetry that is provably efficient, clarifying a foundational question in the field. This approach could lead to more powerful AI models designed to handle symmetry, benefiting applications such as drug discovery and materials science.
A recent MIT study found that decreases in seed-dispersing animals can lead to a major reduction in forest carbon absorption. The researchers analyzed data from thousands of vegetation plots and found that healthy populations of seed-dispersing animals can absorb up to four times more carbon than similar forests with fewer animals.
MIT researchers developed a fully autonomous experimental platform that can efficiently identify optimal polymer blends. The system uses a genetic algorithm to explore a wide range of potential combinations and autonomously identifies hundreds of blends that outperform their constituent polymers. This workflow could lead to advancement...
A new study reveals that pedestrians are now walking faster and spending less time in public spaces. Researchers analyzed 40 years of video footage to find a 14% decline in people lingering in these areas.
MIT physicists performed an idealized version of the double-slit experiment, confirming light behaves as both a particle and wave. The more information obtained about light's path, the lower the visibility of the interference pattern was.
Researchers at MIT develop a new method to directly measure the strength of electron-phonon interaction in semiconductors, a crucial property for next-generation microelectronic devices and quantum computers. This approach leverages an oft-overlooked interference effect in neutron scattering to detect electron-phonon interactions.
Researchers have discovered star-shredding black holes in dusty galaxies, confirming that these events are powered by dormant black hole accretion. The study uses the James Webb Space Telescope to detect clear fingerprints of black hole activity in four galaxies, revealing key differences between active and dormant black holes.
Researchers have developed a mechanical adhesive device that can attach to soft surfaces underwater, inspired by the hitchhiking sucker fish. The device uses pressure-based suction and has enhanced adhesion capabilities, making it suitable for delivering drugs in the GI tract or monitoring aquatic environments.
MIT engineers developed a versatile demonstration interface that allows users to teach robots new skills in three intuitive ways: remote control, physical manipulation, or demonstration. This innovation expands the type of users and 'teachers' who interact with robots, enabling robots to learn a wider set of skills.
CodeSteer, a smart coach developed by MIT researchers, guides large language models (LLMs) to switch between text and code generation to solve complex problems. The system boosts the accuracy of LLMs on symbolic tasks like scheduling shipments in supply chains and multiplication problems.
A new approach by MIT researchers allows scientists to efficiently estimate how combinations of treatments will affect a group, enabling fewer costly experiments while gathering more accurate data. The framework considers the scenario where all treatments are assigned in parallel and controls the outcome by adjusting treatment rates.
Scientists have identified compounds that can help cells fend off viral infection by activating the integrated stress response pathway. These compounds show promise as broad-spectrum antivirals against multiple types of viruses and have been tested in human cells and a mouse model with positive results.
In a small clinical study, users of this prosthesis navigated more easily and said the limb felt more like part of their body. The new system is directly integrated with the user’s muscle and bone tissue, enabling greater stability and control.
Researchers at MIT developed an implantable device that can store glucagon to counteract hypoglycemia, a life-threatening condition for people with Type 1 diabetes. The device, about the size of a quarter, contains a small reservoir made of 3D-printed polymer and can be triggered remotely or automatically by a sensor.
Associate Professor Benjamin Mangrum's new book analyzes how comedy tackles technological advancements and their effects on human life. The book highlights the importance of humor in making technology seem ordinary and incorporating it into daily life.
Researchers developed a way to boost LLMs' performance on challenging tasks using test-time training. This method involves updating some model parameters using new data, leading to significant improvements in accuracy, especially for tasks requiring logic and reasoning.
Researchers enhance rubisco's catalytic efficiency by up to 25 percent using directed evolution, a technique that speeds up the process. The goal is to improve crop yields and boost photosynthetic rates in plants.
Researchers from MIT found that a single nanoscale dose of lanthanides can make crops more resilient to UV stress and increase seedling growth. The study also uncovered the chemical processes by which lanthanides interact with chlorophyll pigments, strengthening them and helping plants recover from damage.
A fully autonomous robotic system developed by MIT researchers can measure important material properties like photoconductivity, increasing the speed and precision of research. The system uses machine learning and robotics to analyze new semiconductors and optimize the development of more powerful solar panels.
New research suggests that blurry, color-limited vision in early childhood can contribute to the development of key brain pathways. The study proposes that such limited vision allows the brain to specialize in certain processing units, which later develop into distinct pathways for color and fine spatial detail.
MIT researchers have designed cheap, disposable electrochemical sensors that can detect multiple diseases using DNA-coated electrodes. The sensors were stabilized with a polymer coating, allowing them to be stored for up to two months, enabling potential use in low-resource regions and at home.
A new imaging technique developed by MIT researchers leverages reflections from wireless signals like Wi-Fi to create accurate 3D reconstructions of objects blocked from view. This approach achieved 96 percent reconstruction accuracy on everyday objects with complex shapes.
Researchers found that LLMs factor in unrelated information like typos, extra space, and colorful language when making treatment recommendations. This nonclinical information can lead to inaccurate advice for female patients, who are more likely to be erroneously advised not to seek medical care.
Researchers found that intercellular flow plays a major role in tissue response to deformation, affecting organs' adaptability to conditions like aging and cancer. The study's findings could inform the design of artificial tissues and organs.
Research shows that island rivers shape reef passes, allowing seawater and nutrients to flow in and out. The locations of reef passes align with where rivers funnel out from an island's coast, providing circulation throughout the reef.
Researchers found that eukaryotes could survive in shallow pools of water atop ice sheets, similar to modern-day meltwater ponds in Antarctica. These environments supported diverse communities of early complex life, influenced by salinity levels.
Researchers at MIT and Scripps Research Institute developed a vaccine that generates many more HIV-targeting B cells in mice with just one dose, using two adjuvants. The dual-adjuvant vaccine produces a wider diversity of antibodies against an HIV antigen, allowing the immune system to build up a stronger response.
Researchers developed a new fabrication process that integrates high-performance GaN transistors onto standard silicon CMOS chips in a low-cost and scalable way. This technology reduces the temperature of the overall system and improves signal strength, bandwidth, and battery life in mobile phones.
A new study reveals that large language models exhibit 'position bias', favoring information at the beginning and end of documents or conversations. Researchers identified design choices and training data as contributing factors to this phenomenon, which can be mitigated through adjustments in model architecture and fine-tuning.
Researchers have developed a new method to physically restore original paintings using digitally constructed films that can be removed if desired. The process uses a polymer film mask printed on a very thin film and aligned to an original painting, which takes around 3.5 hours from start to finish.
MIT researchers create a novel AI hardware accelerator that performs machine-learning computations at the speed of light, classifying wireless signals in nanoseconds. The photonic chip is scalable, flexible, and energy-efficient, making it suitable for future 6G wireless applications.
Researchers at MIT developed a machine learning-based adaptive control algorithm that enables autonomous drones to adapt to unknown disturbances like gusting winds. The system achieves 50% less trajectory tracking error than baseline methods in simulations.
Researchers have developed a once-a-week pill that can be taken orally to deliver medication to patients with schizophrenia. The treatment maintains consistent levels of the drug in the body and controls symptoms, making it easier for patients to adhere to their medication regimen.
Researchers discovered that the brain's retrosplenial cortex (RSC) encodes competing navigation hypotheses in distinct neural activity patterns. These patterns allow animals to choose the correct path despite ambiguity, and can be used to compute how to reach a reward.
A new study by MIT researchers suggests that microplastics are less likely to accumulate in sediment infused with biofilms, which can resuspend particles and carry them away. In contrast, areas of bare sand can become hotspots for microplastic accumulation due to the lack of biofilm.
Researchers at MIT developed a simulation method that allows for accurate and stable simulations of elastic materials, enabling the creation of realistic bouncy characters in movies and video games. The approach preserves physical properties and avoids instability, making it a promising tool for engineers to design flexible products.
Researchers developed an algorithm that lets a robot think ahead and consider thousands of potential motion plans simultaneously, solving multistep manipulation problems in a matter of seconds. The new method enables robots to rapidly determine how to manipulate and pack items without damaging them, even in narrow spaces.
MIT engineers developed a new resin that turns into two different solids depending on the type of light, enabling the creation of complex structures with easily dissolvable supports. This method speeds up the 3D-printing process and reduces waste by allowing for recycling and reuse of the supports.