Artificial intelligence has turned its power on deciphering the complex structures of proteins, the substances behind many vital processes in cells. It is a great boost for biology and, ultimately, wider society.
Adding a molecule normally used in detergent to an infrared LED could make devices that are easier to manufacture, require less energy and display richer colours than existing ones.
Solar cells and LEDs made from perovskite, a titanium and calcium crystal, have long held promise as being more efficient and easier to produce than commonly used silicon-based devices, but making them both stable and efficient enough to rival silicon’s commercial success has proved difficult.
What gives humans the advantage over our incoming robot masters? Junaid Mubeen at New Scientist Live this October.
Online safety and ethics are serious issues and can adversely affect less experienced users. Researchers have built upon familiar human verification techniques to add an element of discrete learning into the process. This way users can learn about online safety and ethics issues while simultaneously verifying they are human. Trials show that users responded positively to the experience and felt they gained something from these microlearning sessions.
The internet is an integral part of modern living, for work, leisure, shopping, keeping touch with people, and more. It’s hard to imagine that anyone could live in an affluent country, such as Japan, and not use the internet relatively often. Yet despite its ubiquity, the internet is far from risk-free. Issues of safety and security are of great concern, especially for those with less exposure to such things. So a team of researchers from the University of Tokyo including Associate Professor Koji Yatani of the Department for Electrical Engineering and Information Systems set out to help.
https://youtube.com/watch?v=6zLUHueIkF8
The challenge: Just 100 years ago, vegetable oils were practically nonexistent in the human diet. Today, they’re a major part of it: 740 million acres — an area that would cover 90% of India — are dedicated to growing soybeans, palm trees, and other oilseed crops.
While these cooking oils can make food extra tasty, oilseed crop production releases greenhouse gasses, contributes to biodiversity loss, and consumes freshwater that could otherwise be used for drinking or to grow other food.
Continue reading “This lab-grown cooking oil could replace vegetable oil” »
God’s actual programming language. Contribute to elonlit/Genesis development by creating an account on GitHub.
Typically, the key goal of electronics engineers is to develop components and devices that are durable and can operate for long periods of time without being damaged. Such devices require resistant materials, which ultimately contribute to the accumulation of electronic waste on our planet.
Researchers at Northwestern University and the University of Illinois have been conducting research focusing on an entirely different type of electromechanical system (MEMS): those based on so-called “transient materials.” Transient materials are materials that can dissolve, resorb, disintegrate or physically disappear in other ways at programmed and specific times.
Their most recent paper, published in Nature Electronics, introduces new MEMS based on fully water-soluble materials that could dissolve in their surrounding environment after set periods of time. In the future, these materials could help to decrease the amount of electronic waste, enabling the development of some electronic devices that spontaneously disappear when they are no longer needed.
A team of researchers at the Chinese Academy of Sciences, has developed an artificial finger that was able to identify certain surface materials with 90% accuracy. In their paper published in the journal Science Advances, the group describes how they used triboelectric sensors to give their test finger an ability to gain a sense of touch.
Prior research has led to the development of robotic fingers that have the ability to recognize certain attributes of certain surfaces, such as pressure or temperature—the team with this new effort, have taken such efforts further by adding the ability to identify a material that is being touched.
Continue reading “Artificial finger able to identify surface material with 90% accuracy” »
In recent years, material scientists have designed a wide range of innovative materials that could be used to create new technologies, including soft robots, controllers and smart textiles. These materials include artificial muscles, structures that resemble biological muscles in shape and that could improve the movements of robots or enable the creation of clothing that adapts to different environmental conditions.
As part of an ongoing project focused on textile-based soft actuators, a team of researchers at Jiangnan University in China recently developed new artificial muscles based on free-standing, single-helical woolen yarn. Their artificial muscles, introduced in a paper published in Smart Materials and Structures, could be used to easily and affordably produce twisted actuators that can detect and respond to humidity in their environment.
“We are trying to design flexible and versatile actuators by leveraging the hierarchical structure design of textiles, ranging from microscales (e.g., molecular chains and aggregation structures) to macroscales (e.g., fiber morphology and textile architectures),” Fengxin Sun, one of the researchers who carried out the study, told Tech Xplore. “Realizing a yarn-based artificial muscle with free-standing and single-helical architecture via eco-friendly and easy-fabrication manufacturing process is still challenging.”
It’s an everyday scenario: you’re driving down the highway when out of the corner of your eye you spot a car merging into your lane without signaling. How fast can your eyes react to that visual stimulus? Would it make a difference if the offending car were blue instead of green? And if the color green shortened that split-second period between the initial appearance of the stimulus and when the eye began moving towards it (known to scientists as the saccade), could drivers benefit from an augmented reality overlay that made every merging vehicle green?
Qi Sun, a joint professor in Tandon’s Department of Computer Science and Engineering and the Center for Urban Science and Progress (CUSP), is collaborating with neuroscientists to find out.
He and his Ph.D. student Budmonde Duinkharjav—along with colleagues from Princeton, the University of North Carolina, and NVIDIA Research—recently authored the paper “Image Features Influence Reaction Time: A Learned Probabilistic Perceptual Model for Saccade Latency,” presenting a model that can be used to predict temporal gaze behavior, particularly saccadic latency, as a function of the statistics of a displayed image. Inspired by neuroscience, the model could ultimately have great implications for highway safety, telemedicine, e-sports, and in any other arena in which AR and VR are leveraged.
A budget-friendly remodel transforms an RV camper into a chic cozy home for a family of five.
