Current Computer Graphics News and Events

Current Computer Graphics News and Events, Computer Graphics News Articles.
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Researchers develop speedier network analysis for a range of computer hardware
MIT researchers developed software to more efficiently run graph applications on a range of computing hardware, including both CPUs and GPUs. The advance could boost analysis of social networks, recommendation algorithms, and internet search. (2021-02-22)

Blueprint for fault-tolerant qubits
Building a quantum computer is a challenging task because of the fragility of quantum bits. To deal with this problem, various types of active error correction techniques have been developed. In contrast, researchers from J├╝lich and Aachen together with partners from Basel and Delft have now proposed a design for an inherently fault protected circuit with passive error correction that could significantly accelerate the construction of a quantum computer with a large number of qubits. (2021-02-18)

Discovering structural diverseness of neurons between brain areas and between cases
Dr. Masanari Itokawa who is the vice president of Tokyo Metropolitan Institute of Medical Science and colleague by the collaboration with Japan Synchrotron Radiation Research Institute (JASRI/SPring-8) and Advanced Photon Source, Argonne National Laboratory identified that the schizophrenia cases showed a thin and tortuous neuronal network compared with the controls (2021-02-10)

Computer can determine whether you'll die from COVID
Using patient data, artificial intelligence can make a 90 percent accurate assessment of whether a person will die from COVID-19 or not, according to new research at the University of Copenhagen. Body mass index (BMI), gender and high blood pressure are among the most heavily weighted factors. The research can be used to predict the number of patients in hospitals, who will need a respirator and determine who ought to be first in line for a vaccination. (2021-02-05)

Smart algorithm cleans up images by searching for clues buried in noise
In a new study published in Nature Machine Intelligence, researchers at Texas A&M University have unveiled a machine learning-based algorithm that can reduce graininess in low-resolution images and reveal new details that were otherwise buried within the noise. (2021-01-26)

Designing customized "brains" for robots
MIT researchers have developed an automated way to design customized hardware that speeds up a robot's operation. The system, called robomorphic computing, accounts for the robot's physical layout in suggesting an optimized hardware architecture. (2021-01-21)

Scientists' discovery is paving the way for novel ultrafast quantum computers
Scientists at the Institute of Physics of the University of Tartu have found a way to develop optical quantum computers of a new type. Central to the discovery are rare earth ions that have certain characteristics and can act as quantum bits. These would give quantum computers ultrafast computation speed and better reliability compared to earlier solutions. The University of Tartu researchers Vladimir Hizhnyakov, Vadim Boltrushko, Helle Kaasik and Yurii Orlovskii published the results of their research in the scientific journal Optics Communications. (2021-01-15)

DUAL takes AI to the next level
Scientists at DGIST in Korea, and UC Irvine and UC San Diego in the US, have developed a computer architecture that processes unsupervised machine learning algorithms faster, while consuming significantly less energy than state-of-the-art graphics processing units. The key is processing data where it is stored in computer memory and in an all-digital format. The researchers presented the new architecture, called DUAL, at the 2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture. (2020-12-30)

Developing smarter, faster machine intelligence with light
Researchers at the George Washington University, together with researchers at the University of California, Los Angeles, and the deep-tech venture startup Optelligence LLC, have developed an optical convolutional neural network accelerator capable of processing large amounts of information, on the order of petabytes, per second. (2020-12-18)

Tiny quantum computer solves real optimisation problem
Quantum computers have already managed to surpass ordinary computers in solving certain tasks - unfortunately, totally useless ones. The next milestone is to get them to do useful things. Researchers at Chalmers University of Technology, Sweden, have now shown that they can solve a small part of a real logistics problem with their small, but well-functioning quantum computer. (2020-12-17)

Longest intergalactic gas filament discovered
Astrophysicists led by the University of Bonn (Germany) have for the first time observed a gas filament with a length of 50 million light years. Its structure is strikingly similar to the predictions of computer simulations. The observation therefore also confirms our ideas about the origin and evolution of our universe. The results are published in the journal Astronomy & Astrophysics. (2020-12-17)

To the brain, reading computer code is not the same as reading language
MIT neuroscientists have found reading computer code does not rely on the regions of the brain involved in language processing. Instead, it activates the ''multiple demand network,'' which is also recruited for complex cognitive tasks such as solving math problems or crossword puzzles. (2020-12-15)

RUDN University mathematicians applied 19th century ideas to modern computerized algebra systems
A team of mathematicians from RUDN University added new symbolic integration functionality to the Sage computerized algebra system. The team implemented ideas and methods suggested by the German mathematician Karl Weierstrass in the 1870s. (2020-11-25)

Computer vision predicts congenital adrenal hyperplasia
Using computer vision, researchers have discovered strong correlations between facial morphology and congenital adrenal hyperplasia (CAH), a life-threatening genetic condition of the adrenal glands and one of the most common forms of adrenal insufficiency in children. The findings could have implications for phenotyping and treating patients with CAH. (2020-11-18)

Computer scientists launch counteroffensive against video game cheaters
University of Texas at Dallas computer scientists have devised a new weapon against video game players who cheat. The researchers developed their approach for detecting cheaters using the popular first-person shooter game Counter-Strike. But the mechanism can work for any massively multiplayer online (MMO) game that sends data traffic to a central server. Their research was published online Aug. 3 in IEEE Transactions on Dependable and Secure Computing. (2020-11-16)

Facing up to the reality of politicians' Instagram posts
A University of Georgia researcher used computer vision to analyze thousands of images from over 100 Instagram accounts of United States politicians and discovered posts that showed politicians' faces in nonpolitical settings increased audience engagement over traditional posts such as politicians in professional or political settings. (2020-10-29)

Wearable IT devices: Dyeing process gives textiles electronic properties
Whether in fitness, medicine or in the entertainment industry, IT devices worn on the body, such as smart watches, are becoming increasingly popular. Such wearables benefit from the input device fitting as naturally as possible to the body - for example as electro-sensitive fabrics, so-called e-textiles. (2020-10-13)

Cameras that can learn
Intelligent cameras could be one step closer thanks to a research collaboration between the Universities of Bristol and Manchester who have developed cameras that can learn and understand what they are seeing. (2020-10-13)

Watching nature on TV can boost wellbeing, finds new study
Watching high quality nature programmes on TV can uplift people's moods, reduce negative emotions, and help alleviate the kind of boredom associated with being isolated indoors. (2020-10-13)

Are brain-computer interface spellers secure?
Brain-Computer Interfaces (BCIs), which aim to construct a pathway for people to interact with computers directly by thought, have received great attention in recent years. An electroencephalogram-based BCI speller, which allows the user to input text to computer using brain signals, is one of the most popular BCI systems. However, researchers in China show that these BCI spellers can be easily attacked, exposing a critical security concern in EEG-based BCI systems. (2020-10-03)

A computer predicts your thoughts, creating images based on them
Researchers at the University of Helsinki have developed a technique in which a computer models visual perception by monitoring human brain signals. In a way, it is as if the computer tries to imagine what a human is thinking about. As a result of this imagining, the computer is able to produce entirely new information, such as fictional images that were never before seen. The technique is based on a novel brain-computer interface. (2020-09-21)

New data processing module makes deep neural networks smarter
Artificial intelligence researchers have improved the performance of deep neural networks by combining feature normalization and feature attention modules into a single module that they call attentive normalization. The hybrid module improves the accuracy of the system significantly, while using negligible extra computational power. (2020-09-16)

Virtual tourism could offer new opportunities for travel industry, travelers
A new proposal for virtual travel, using advanced mathematical techniques and combining livestream video with existing photos and videos of travel hotspots, could help revitalize an industry that has been devastated by the coronavirus pandemic, according to researchers at the Medical College of Georgia at Augusta University. (2020-09-09)

New method prevents quantum computers from crashing
Quantum information is fragile, which is why quantum computers must be able to correct errors. But what if whole qubits are lost? Researchers at the University of Innsbruck, in collaboration with RWTH Aachen University and University of Bologna, are now presenting a method in the journal Nature that allows quantum computers to keep going even if they lose some qubits along the way. (2020-09-09)

Tool transforms world landmark photos into 4D experiences
Using publicly available tourist photos of world landmarks such as the Trevi Fountain in Rome or Top of the Rock in New York City, Cornell University researchers have developed a method to create maneuverable 3D images that show changes in appearance over time. (2020-09-08)

Quantum algorithm proposed to solve Dyck language problems
In the paper, Khadiev and his colleagues demonstrated an algorithm that can solve the problem in 40 seconds and also proved that it cannot be solved in less than 10 second on a quantum computer. (2020-09-04)

Predictive placentas: Using artificial intelligence to protect mothers' future pregnancies
After a baby is born, doctors sometimes examine the placenta for features that indicate health risks in any future pregnancies. Most placentas go unexamined after the birth. A team of researchers from Carnegie Mellon University (CMU) and the University of Pittsburgh Medical Center (UPMC) report the development of a machine learning approach to examine placenta slides in The American Journal of Pathology so more women can be informed of their health risks. (2020-09-02)

Sussex study enables predicting computational power of early quantum computers
University of Sussex quantum physicists have developed an algorithm which helps early quantum computers to perform calculations most efficiently (2020-08-24)

Recovering data: NIST's neural network model finds small objects in dense images
In efforts to automatically capture important data from scientific papers, computer scientists at the National Institute of Standards and Technology (NIST) have developed a method that can accurately detect small, geometric objects such as triangles within dense, low-quality plots contained in image data. Employing a neural network approach designed to detect patterns, the NIST model has many possible applications in modern life. (2020-08-04)

How thoughts could one day control electronic prostheses, wirelessly
The current generation of neural implants record enormous amounts of neural activity, then transmit these brain signals through wires to a computer. But, so far, when researchers have tried to create wireless brain-computer interfaces to do this, it took so much power to transmit the data that the implants generated too much heat to be safe for the patient. A new study suggests how to solve his problem -- and thus cut the wires. (2020-08-04)

Re-engineering antibodies for COVID-19
Catholic University of America researcher uses 'in silico' analysis to fast-track passive immunity (2020-07-30)

Dartmouth-industry collaborations improve computer graphics
New software techniques make lighting in computer-generated images look more realistic for use in video games, extended reality, and scientific visualization tools. (2020-07-24)

UVA pioneers study of genetic diseases with quantum computing
Scientists are harnessing the mind-bending potential of quantum computers to help us understand genetic diseases - even before quantum computers are a thing. (2020-07-22)

UAlberta researchers make real-time tumor tracking in radiation therapy 5 times faster
A team of University of Alberta researchers has developed a faster way of tracking the movement of tumors in the body during radiation therapy, which could significantly improve outcomes for cancer patients. The team's work builds on the Linac-MR project, a radiation beam (linear accelerator or 'linac') and magnetic resonance imaging (MRI) hybrid machine developed by researchers at the Cross Cancer Institute in 2013. (2020-07-22)

Translating skeletal movements, joint by joint
A global team of computer scientists has developed a novel deep-learning framework that automates the precise translation of human motion, specifically accounting for the wide array of skeletal structures and joints. The team of researchers hail from AICFVE, the Beijing Film Academy, ETH Zurich, Hebrew University of Jerusalem, Peking University, and Tel Aviv University, and plan to demonstrate their work during SIGGRAPH 2020. (2020-07-15)

"Alexa, go to the kitchen and fetch me a snack"
New model helps robots understand their environment as humans do. (2020-07-15)

Parasite infestations revealed by tiny chicken backpacks
Blood-feeding livestock mites can be detected with wearable sensor technology nicknamed ''Fitbits for chickens.'' To help farmers detect mite infestations, a team of entomologists, computer scientists, and biologists led by UC Riverside entomologist Amy Murillo has created a new insect detection system. (2020-07-13)

New method for simulating yarn-cloth patterns to be unveiled at ACM SIGGRAPH
A global team of computer scientists from the Institute of Science and Technology (IST) Austria and Indian institute of Technology Delhi (IITD) has developed a method for specifically animating yarn-level cloth effects, accurately capturing the physics of the material, including the stretching and bending response. (2020-07-08)

Science fiction becomes fact -- Teleportation helps to create live musical performance
A new study by the University of Plymouth explains for the first time how quantum supercomputers could be helpful in the world of making and performing music (2020-07-02)

Analysis of complex geometric models made simple
Researchers at Carnegie Mellon University have developed an efficient new way to quickly analyze complex geometric models by borrowing a computational approach that has made photorealistic animated films possible. (2020-06-29)

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