Sun in a box would store renewable energy for the grid
Engineers have come up with a conceptual design for a system to store renewable energy, such as solar and wind power, and deliver that energy back into an electric grid on demand. The system may be designed to power a small city not just when the sun is up or the wind is high, but around the clock.
Recreate your favorite paintings using deep learning and 3-D printing
The empty frames hanging inside the Isabella Stewart Gardner Museum serve as a tangible reminder of the world's biggest unsolved art heist. While the original masterpieces may never be recovered, a team from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) might be able to help, with a new system aimed at designing reproductions of paintings.
A plant-robot hybrid
Elowan is a cybernetic lifeform, a plant in direct dialogue with a machine. Using its own internal electrical signals, the plant is interfaced with a robotic extension that drives it toward light.
Device provides cooling for off-grid locations
Researchers have devised a new way of providing cooling on a hot sunny day, using inexpensive materials and requiring no fossil fuel-generated power. The passive system, which could be used to supplement other cooling systems to preserve food and medications in hot, off-grid locations, is essentially a high-tech version of a parasol.
Explaining the plummeting cost of solar power
The dramatic drop in the cost of solar photovoltaic modules, which has fallen by 99 percent over the last four decades, is often touted as a major success story for renewable energy technology. But one question has never been fully addressed: What exactly accounts for that stunning drop?
Solar-powered autonomous aircraft Odysseus
Powered only by the sun, Odysseus is an ultra-long endurance, high-altitude platform. Utilizing advanced solar cells and built with lightweight materials, Odysseus can effectively fly indefinitely - all powered by clean, renewable energy.
How to make AI less biased
With machine learning systems now being used to determine everything from stock prices to medical diagnoses, it's never been more important to look at how they arrive at decisions.
Graphene on the way to superconductivity
Carbon atoms have diverse possibilities to form bonds. Pure carbon can therefore occur in many forms, as diamond, graphite, as nanotubes, football molecules or as a honeycomb-net with hexagonal meshes, graphene. This exotic, strictly two-dimensional material conducts electricity excellently, but is not a superconductor. But perhaps this can be changed.
Fleets of drones could aid searches for lost hikers
Finding lost hikers in forests can be a difficult and lengthy process, as helicopters and drones can't get a glimpse through the thick tree canopy. Recently, it's been proposed that autonomous drones, which can bob and weave through trees, could aid these searches. But the GPS signals used to guide the aircraft can be unreliable or nonexistent in forest environments.
Artificial intelligence: Parking a car with only 12 neurons
A naturally grown brain works quite differently than an ordinary computer program. It does not use code consisting of clear logical instructions, it is a network of cells that communicate with each other. Simulating such networks on a computer can help to solve problems which are difficult to break down into logical operations.
Development of wearable device for dermatology research
LEO Science & Tech Hub, the Boston-based R&D innovation unit of LEO Pharma, announced that they will partner with Wearifi Inc and the Center for Bio-Integrated Electronics at Northwestern University to investigate the clinical potential of next-generation wearable electronics in dermatology research.
New material, manufacturing process, uses sun's heat for cheaper power
Researchers have developed a new material and manufacturing process that would make one way to use solar power - as heat energy - more efficient in generating electricity.
How to mass produce cell-sized robots
Tiny robots no bigger than a cell could be mass-produced using a new method. The microscopic devices, which the team calls "syncells" (short for synthetic cells), might eventually be used to monitor conditions inside an oil or gas pipeline, or to search out disease while floating through the bloodstream.
Route to flexible electronics made from exotic materials
Engineers have developed a technique to fabricate ultrathin semiconducting films made from a host of exotic materials other than silicon. To demonstrate their technique, the researchers fabricated flexible films made from gallium arsenide, gallium nitride, and lithium fluoride — materials that exhibit better performance than silicon but until now have been prohibitively expensive to produce in functional devices.
Model helps robots navigate more like humans do
When moving through a crowd to reach some end goal, humans can usually navigate the space safely without thinking too much. They can learn from the behavior of others and note any obstacles to avoid. Robots, on the other hand, struggle with such navigational concepts.
Machine-learning system tackles speech, object recognition at once
MIT computer scientists have developed a system that learns to identify objects within an image, based on a spoken description of the image. Given an image and an audio caption, the model will highlight in real-time the relevant regions of the image being described.
New battery gobbles up carbon dioxide
A new type of battery could be made partly from carbon dioxide captured from power plants. Rather than attempting to convert carbon dioxide to specialized chemicals using metal catalysts, which is currently highly challenging, this battery could continuously convert carbon dioxide into a solid mineral carbonate as it discharges.
New sensors track dopamine in the brain for more than a year
Neuroscientists have now devised a way to measure dopamine in the brain for more than a year, which they believe will help them to learn much more about its role in both healthy and diseased brains.
Imprint Energy new investments to advance ultrathin flexible batteries
Imprint Energy announced the successful completion of a $5 million investment round. Imprint has continued its progress toward commercialization. Multiple manufacturing partners have successfully printed Imprint batteries using their existing standard printing equipment, and Imprint batteries are moving into field trials of IoT products.
Model can more naturally detect depression in conversations
In recent years, machine learning has been championed as a useful aid for diagnostics. Machine-learning models, for instance, have been developed that can detect words and intonations of speech that may indicate depression.