Technology for low-cost, thermal-imaging sensors that operate well at temperatures as high as 100 °C has been developed. Expected to be actively used in thermal-imaging applications in smartphones and autonomous vehicles
Tag: TECHNOLOGY/ENGINEERING/COMPUTER SCIENCE
The mechanics of puncture finally explained
The feeling of a needle piercing skin is familiar to most people, especially recently as COVID-19 vaccinations gain momentum. But what exactly happens when a needle punctures skin? The answer is revealed in a new paper published recently in the…
Tweezers of sound can pick objects up without physical contact
Hemispherical array of ultrasound transducers lifts objects off reflective surfaces
Water resources: Defusing conflict, promoting cooperation
Rivers are lifelines for many countries. They create valuable ecosystems, provide drinking water for people and raw water for agriculture and industry. In the Global South in particular, there is strong competition for access to freshwater resources. The increasing use…
Dept. of Energy awards $4.15M to Argonne National Lab to support work with industry
Argonne will partner with companies from across the U.S. on eight efforts. The U.S. Department of Energy ( DOE ) has announced over $ 30 million in federal funding, matched by over $ 35 million in private sector funds, for…
DeepMind and EMBL release the most complete database of predicted 3D structures of human proteins
Partners use AlphaFold, the AI system recognised last year as a solution to the protein structure prediction problem, to release more than 350,000 protein structure predictions including the entire human proteome to the scientific community
‘Wrapping’ anodes in 3D carbon nanosheets: The next big thing in li-ion battery technology
Study finds that anchoring manganese selenide nanoparticles, an anode material, in 3D carbon nanosheets prevents their expansion in lithium-ion batteries
Big data-derived tool facilitates closer monitoring of recovery from natural disasters
Texas A&M researchers have mined location-based data to essential establishments during Hurricane Harvey to develop a framework for monitoring communities’ resilience
Doctoral student bridges gap between electronics and optics
New chip can revolutionize the current data rate for processors using microwave photonics
Global approach is needed on battery regulation
New European Union regulations on batteries could offer a huge boost to the global decarbonisation mission – but only if it leverages its political and economic weight to ensure a fairer global marketplace. According to a team of scientists and…
Smartphone screens effective sensors for soil or water contamination
The touchscreen technology used in billions of smartphones and tablets could also be used as a powerful sensor, without the need for any modifications. Researchers from the University of Cambridge have demonstrated how a typical touchscreen could be used to…
Artificial intelligence models to analyze cancer images take shortcuts that introduce bias
New study of artificial intelligence tools that analyze tumor images shows how they can make inaccurate predictions based on the institution that submitted the image
Disagreement may be a way to make online content spread faster, further
The finding comes from an examination of posts labeled controversial on social news aggregation site Reddit.
Prof. Jong-Hyeok Yoon receives the “Best Regular Paper Award” at IEEE CICC 2021
Recognized for its research outcome related to PIM-based AI processor using TSMC’s multi-bit RRAM
Zero-dimensional molecular sieve membranes enhance gas separation selectivity
Classical molecular sieve membranes, with 3D microparticles and 2D nanosheets as primary building blocks, are promising in chemical separation. Separation within such membranes relies on molecular movement and transport though their intrinsic or artificial nanopores. Since the weak connections by…
Cybercrime bill to rise during pandemic
COVID-19 opportunities to expand economic losses
The test bench for oil workers has been developed at Samara Polytech
It is designed to simulate asphalt-resin-paraffin deposits
A novel method for the rapid repair of peripheral nerve injuries
Bar-Ilan University researchers have developed nerve guidance conduits filled with smart gel that accelerate regeneration of torn nerve fibers
Dynamic heart model mimics hemodynamic loads, advances engineered heart tissue technology
Efforts to understand cardiac disease progression and develop therapeutic tissues that can repair the human heart are just a few areas of focus for the Feinberg research group at Carnegie Mellon University. The group’s latest dynamic model, created in partnership…
Take two: Integrating neuronal perspectives for richer results
Every brain function, from standing up to deciding what to have for dinner, involves neurons interacting. Studies focused on neuronal interactions extend across domains in neuroscience, primarily using the approaches of spike count correlation or dimensionality reduction. Pioneering research from…
Nanostructures enable record high-harmonic generation
ITHACA, N.Y. – Cornell researchers have developed nanostructures that enable record-breaking conversion of laser pulses into high-harmonic generation, paving the way for new scientific tools for high-resolution imaging and studying physical processes that occur at the scale of an attosecond…
Glass sponges have properties for the design of ships, planes and skyscrapers
Published in the journal Nature the first-ever simulation of the deep-sea Venus flower sponge and how it responds to and influences the flow of nearby water.
“Magic-angle” trilayer graphene may be a rare, magnet-proof superconductor
New findings might help inform the design of more powerful MRI machines or robust quantum computers.
How a unique sponge ‘goes with the flow’ could improve man-made structures
Collaborative project taps one of the world’s most powerful supercomputers to reveal the water-bending skills of the Venus basket sponge. Insights could have implications for man-made craft and structures
Team streamlines neural networks to be more adept at computing on encrypted data
BROOKLYN, New York, Wednesday, July 21, 2021 – This week, at the 38th International Conference on Machine Learning (ICML 21), researchers at the NYU Center for Cyber Security at the NYU Tandon School of Engineering are revealing new insights into…
New framework applies machine learning to atomistic modeling
Method could lead to more accurate predictions of how new materials behave at the atomic scale
Origami comes to life with new shape-changing materials
Imagine opening up a book of nature photos only to see a kaleidoscope of graceful butterflies flutter out from the page. Such fanciful storybooks might soon be possible thanks to the work of a team of designers and engineers at…
Mind and matter: Modeling the human brain with machine learning
Researchers from Japan construct a human brain model using a machine learning-based optimization of required user information
New algorithm may help autonomous vehicles navigate narrow, crowded streets
CMU research could help solve last mile delivery challenges
Solar cells: Layer of three crystals produces a thousand times more power
The photovoltaic effect of ferroelectric crystals can be increased by a factor of 1,000 if three different materials are arranged periodically in a lattice. This has been revealed in a study by researchers at Martin Luther University Halle-Wittenberg (MLU). They…
A machine learning breakthrough: using satellite images to improve human lives
Berkeley-based project could support action worldwide on climate, health and poverty
New technology shows promise in detecting, blocking grid cyberattacks
Researchers from Idaho National Laboratory and New Mexico-based Visgence Inc. have designed and demonstrated a technology that can block cyberattacks from impacting the nation’s electric power grid. During a recent live demonstration at INL’s Critical Infrastructure Test Range Complex, the…
Study: Wireless radiation exposure for children is set too high
Levels should be hundreds of times lower than current federal limits
Machine learning models to help photovoltaic systems find their place in the sun
Scientists develop algorithms that predict the output of solar cells, easing their integration into existing power grids
Recovering DNA from challenging forensic evidence in forensic genomics
New Rochelle, NY, July 19, 2021–Duct tape and items retrieved from the water are common pieces of evidence in forensic cases. A new study evaluates the recovery of DNA from folded duct tape that has been submerged in ocean water…
Neural model seeks ‘inappropriateness’ to reduce chatbot awkwardness
Researchers from Skoltech and their colleagues from Mobile TeleSystems have introduced the notion of inappropriate text messages and released a neural model capable of detecting them, along with a large collection of such messages for further research. Among the potential…
Enabling the ‘Imagination’ of Artificial Intelligence
Imagine an orange cat. Now, imagine the same cat, but with coal-black fur. Now, imagine the cat strutting along the Great Wall of China. Doing this, a quick series of neuron activations in your brain will come up with variations of the picture presented, based on your previous knowledge of the world.
Mathematical Models and Computer Simulations Are the New Frontiers in COVID-19 Drug Trials
Researchers are using computer models to simulate COVID-19 infections on a cellular level – the basic structural level of the human body.
No stone unturned: An extensive search for cation substitution in lithium-ion batteries
Scientists demonstrate an inexpensive computational technique to screen for atomic substitutions in lithium-ion batteries to boost their capacity
NASA returns Hubble Space Telescope to science operations
NASA has returned the science instruments on the Hubble Space Telescope to operational status, and the collection of science data will now resume. This will be the first science data collected since the payload computer experienced a problem on June…
Understanding the physics in new metals
Researchers from the Paul Scherrer Institute PSI and the Brookhaven National Laboratory (BNL), working in an international team, have developed a new method for complex X-ray studies that will aid in better understanding so-called correlated metals. These materials could prove…
New sunspot catalogue to improve space weather predictions
Scientists from the University of Graz, Kanzelhöhe Observatory, Skoltech, and the World Data Center SILSO at the Royal Observatory of Belgium, have presented the Catalogue of Hemispheric Sunspot Numbers. It will enable more accurate predictions of the solar cycle and…
An automated flight control system for drone swarms has been developed
“The project’s main objective is to integrate a certain degree of automation, so that an operator can control a small fleet of up to 10 drones from a single ground station,” says Luis E. Moreno, LABYRINTH’s coordinator and researcher at…
EU project ADMIRE launched
Interdisciplinary consortium aims to develop intelligent adaptive storage systems
Scientists seek details of cancer’s evolutionary tree
Rice computer scientist, engineering dean Luay Nakhleh earns NSF support for single-cell genome study
Following cancer progress in real time
UH researcher receives $2.7M grant to develop test with ‘unprecedented early detection power’
Bonding’s next top model — Projecting bond properties with machine learning
Tokyo, Japan – Designing materials that have the necessary properties to fulfill specific functions is a challenge faced by researchers working in areas from catalysis to solar cells. To speed up development processes, modeling approaches can be used to predict…
Scientists adopt deep learning for multi-object tracking
Their novel framework achieves state-of-the-art performance without sacrificing efficiency in public surveillance tasks
Launching operation of “Japan Data Catalog for the Humanities and Social Sciences” (JDCat)
Support for Searching Research Data for research & education, policy planning
Neuro-evolutionary robotics: A gap between simulation and reality
Neuro-evolutionary robotics is an attractive approach to realize collective behaviors for swarms of robots. Despite the large number of studies that have been devoted to it and although many methods and ideas have been proposed, empirical evaluations and comparative analyses…