Category Archives: Computer Science
Experts list: Technology, ethics and a fast changing world | Cornell Chronicle – Cornell Chronicle
From the expansion of AI and machine learning to the fast growth of a global internet of things, technology is exponentially changing the way we live, work, and play in both exciting and concerning ways. Cybersecurity threats, data privacy concerns and environmental challenges are just some of the obstacles facing technologists, policymakers and tech users as we forge ahead into a future of possibilities.Cornell University computing and information science experts are available to weigh in on these obstacles and opportunities, offering perspectives on ethics, machine learning, computational sustainability, cybersecurity and more. The following researchers are some available for comment.
Karen Levy is a professor of information science who researches how law and technology interact to regulate social life, with particular focus on social and organizational aspects of surveillance.
Professor of Computer Science at Cornell Tech and Associate Dean for Impact
Deborah Estrin is a professor of computer science at Cornell Tech and Associate Dean for Impact. Estrin researches technologies for caregiving, immersive health, Public Interest Technology and more.
Ken Birman is a professor of computer science, an expert on cloud computing and the internet of things who is working on creating new hosting platforms for modern machine learning and AI solutions.
Jon Kleinberg is a professor of computer science who studies the social and information networks that underpin the Web and other on-line media.
Thorsten Joachims is professor of computer science who studies machine learning methods and theory.
Bart Selman is a professor of computer science, director of the Intelligent Information Systems Institute and an expert in artificial intelligence safety issues.
Kilian Weinberger is a professor of computer science who studies machine learning and its applications.
Robbert Van Renesse is a professor of computer science who studies cloud based systems and sensor networks.
Professor of Computing and Information Science
Carla Gomes is a professor of computing and information science and the director of the Institute for Computational Sustainability. Gomes is an expert in artificial intelligence and machine learning.
Fred Schneider is a professor of computer science who studies trustworthy systems systems that will perform as expected, despite failures and attacks.
Nate Foster is a professor of computer science who works to develop languages and tools that make it easy for programmers to build secure and reliable systems.
Hakim Weatherspoon is a professor of computer science who studies fault-tolerance, reliability, security, and performance of large Internet-scale systems such as cloud computing and distributed systems.
Cornell University has television, ISDN and dedicated Skype/Google+ Hangout studios available for media interviews.
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Experts list: Technology, ethics and a fast changing world | Cornell Chronicle - Cornell Chronicle
Daily Deal: The 2021 All-in-One Computer Science Bundle – Techdirt
from the good-deals-on-cool-stuff dept
The 2021 All-in-One Computer Science Bundle has 11 courses to teach you the essentials of computer science. You'll learn about Java, C++, Ruby on Rails, Python, and more. It's on sale for $35.
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Daily Deal: The 2021 All-in-One Computer Science Bundle - Techdirt
Man Robbed of 16 Bitcoin Sues Young Thieves’ Parents Krebs on Security – Krebs on Security
In 2018, Andrew Schober was digitally mugged for approximately $1 million worth of bitcoin. After several years of working with investigators, Schober says hes confident he has located two young men in the United Kingdom responsible for using a clever piece of digital clipboard-stealing malware that let them siphon his crypto holdings. Schober is now suing each of their parents in a civil case that seeks to extract what their children would not return voluntarily.
In a lawsuit filed in Colorado, Schober said the sudden disappearance of his funds in January 2018 prompted him to spend more than $10,000 hiring experts in the field of tracing cryptocurrency transactions. After months of sleuthing, his investigators identified the likely culprits: Two young men in Britain who were both minors at the time of the crime (both are currently studying computer science at U.K. universities).
A forensic investigation of Schobers computer found hed inadvertently downloaded malicious software after clicking a link posted on Reddit for a purported cryptocurrency wallet application called Electrum Atom. Investigators determined that the malware was bundled with the benign program, and was designed to lie in wait for users to copy a cryptocurrency address to their computers temporary clipboard.
When Schober went to move approximately 16.4 bitcoins from one account to another by pasting the lengthy payment address hed just copied the malware replaced his bitcoin payment address with a different address controlled by the young men.
Schobers lawsuit lays out how his investigators traced the stolen funds through cryptocurrency exchanges and on to the two youths in the United Kingdom. In addition, they found one of the defendants just hours after Schobers bitcoin was stolen had posted a message to GitHub asking for help accessing the private key corresponding to the public key of the bitcoin address used by the clipboard-stealing malware.
Investigators found the other defendant had the malware code that was bundled with the Electrum Atom application in his Github code library.
Initially, Schober hoped that the parents of the thieving teens would listen to reason, and simply return the money. So he wrote a letter to the parents of both boys:
It seems your son has been using malware to steal money from people online, reads the opening paragraph of the letter Schober emailed to the families. Losing that money has been financially and emotionally devastating. He might have thought he was playing a harmless joke, but it has had serious consequences for my life.
A portion of the letter than Schober sent to two of the defendants in 2018, after investigators determined their sons were responsible for stealing nearly $1 million in cryptocurrency from Schober.
Met with continued silence from the parents for many months, Schober filed suit against the kids and their parents in a Colorado court. A copy of the May 2021 complaint is here (PDF).
Now they are responding. One of the defendants Hazel D. Wells just filed a motion with the court to represent herself and her son in lieu of hiring an attorney. In a filing on Aug. 9, Wells helpfully included the letter in the screenshot above, and volunteered that her son had been questioned by U.K. authorities in connection with the bitcoin theft.
Neither of the defendants families are disputing the basic claim that their kids stole from Mr. Schober. Rather, theyre asserting that time has run out on Schobers legal ability to claim a cause of action against them.
Plaintiff alleges two common law causes of action (conversion and trespass to chattel), for which a three-year statute of limitations applies, an attorney for the defendants argued in a filing on Aug. 6 (PDF). Plaintiff further alleges a federal statutory cause of action, for which a two-year statute of limitations applies. Because plaintiff did not file his lawsuit until May 21, 2021, three years and five months after his injury, his claims should be dismissed.
Schobers attorneys argue (PDF) that the statute of limitations begins to run when the Plaintiff knows or has reason to know of the existence and cause of the injury which is the base of his action, and that inherent in this concept is the discovery rule, namely: That the statute of limitations does not begin to run until the plaintiff knows or has reason to know of both the existence and cause of his injury.
The plaintiffs point out that Schobers investigators didnt pinpoint one of the young mens involvement until more than a year after theyd identified his co-conspirator, saying Schober notified the second boys parents in December 2019.
None of the parties to this lawsuit responded to requests for comment.
Image: Complaint, Schober v. Thompson, et. al.
Mark Rasch, a former prosecutor with the U.S. Justice Department, said the plaintiff is claiming the parents are liable because he gave them notice of a crime committed by their kids and they failed to respond.
A lot of these crimes are being committed by juveniles, and we dont have a good juvenile justice system thats well designed to both civilly and criminally go after kids, Rasch said.
Rasch said hes currently an attorney in a number of lawsuits involving young men whove been accused of stealing and laundering millions of dollars of cryptocurrency specifically crimes involving SIM swapping where the fraudsters trick or bribe an employee at a mobile phone store into transferring control of a targets phone number to a device they control.
In those cases, the plaintiffs have sought to extract compensation for their losses from the mobile phone companies but so far those lawsuits have largely failed to yield results and are often pushed into arbitration.
Rasch said it makes sense that some victims of cryptocurrency theft are spending some serious coin to track down their assailants and sue them civilly. But he said the legwork needed to make that case is tremendous and costly, and theres no guarantee those investments will pay off down the road.
These crimes can be monumentally difficult and expensive to track down, he said. Its designed to be difficult to do, but its also not designed to be impossible to do.
As evidenced by this weeks CNBC story on a marked rise in reports of people having their Coinbase accounts emptied by fraudsters, many people investing in cryptocurrencies find out the hard way that unlike traditional banking transactions cryptocurrency funds lost to theft are likely to stay lost because the transactions are irreversible.
Traditionally, the major crypto exchanges have said theyre not responsible for lost or stolen funds. But perhaps in response to the CNBC story, Coinbase said it was introducing a new pilot guarantee for U.K. customers only, wherein they will be eligible for a reimbursement of up 150,000 if someone gains unauthorized access to their account and steals funds.
However, it seems unlikely Coinbases new guarantee would cover cases like Schobers even if hed been a U.K. customer and the theft occurred today. One of the caveats that is not covered in the guarantee is sending funds to the wrong address by accident.
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Man Robbed of 16 Bitcoin Sues Young Thieves' Parents Krebs on Security - Krebs on Security
Virtual dressing room startup Revery.ai applying computer vision to the fashion industry – TechCrunch
Figuring out size and cut of clothes through a website can suck the fun out of shopping online, but Revery.ai is developing a tool that leverages computer vision and artificial intelligence to create a better online dressing room experience.
Under the tutelage of University of Illinois Center for Computer Science advisrr David Forsyth, a team consisting of Ph.D. students Kedan Li, Jeffrey Zhang and Min Jin Chong, is creating what they consider to be the first tool using existing catalog images to process at a scale of over a million garments weekly, something previous versions of virtual dressing rooms had difficulty doing, Li told TechCrunch.
Revery.ai co-founders Jeffrey Zhang, Min Jin Chong and Kedan Li. Image Credits: Revery.ai
California-based Revery is part of Y Combinators summer 2021 cohort gearing up to complete the program later this month. YC has backed the company with $125,000. Li said the company already has a two-year runway, but wants to raise a $1.5 million seed round to help it grow faster and appear more mature to large retailers.
Before Revery, Li was working on another startup in the personalized email space, but was challenged in making it work due to free versions of already large legacy players. While looking around for areas where there would be less monopoly and more ability to monetize technology, he became interested in fashion. He worked with a different adviser to get a wardrobe collection going, but that idea fizzled out.
The team found its stride working with Forsyth and making several iterations on the technology in order to target business-to-business customers, who already had the images on their websites and the users, but wanted the computer vision aspect.
Unlike its competitors that use 3D modeling or take an image and manually clean it up to superimpose on a model, Revery is using deep learning and computer vision so that the clothing drapes better and users can also customize their clothing model to look more like them using skin tone, hair styles and poses. It is also fully automated, can work with millions of SKUs and be up and running with a customer in a matter of weeks.
Its virtual dressing room product is now live on many fashion e-commerce platforms, including Zalora-Global Fashion Group, one of the largest fashion companies in Southeast Asia, Li said.
Revery.ai landing page. Image Credits: Revery.ai
Its amazing how good of results we are getting, he added. Customers are reporting strong conversion rates, something like three to five times, which they had never seen before. We released an A/B test for Zalora and saw a 380% increase. We are super excited to move forward and deploy our technology on all of their platforms.
This technology comes at a time when online shopping jumped last year as a result of the pandemic. Just in the U.S., the e-commerce fashion industry made up 29.5% of fashion retail sales in 2020, and the markets value is expected to reach $100 billion this year.
Revery is already in talks with over 40 retailers that are putting this on their roadmap to win in the online race, Li said.
Over the next year, the company is focusing on getting more adoption and going live with more clients. To differentiate itself from competitors continuing to come online, Li wants to invest body type capabilities, something retailers are asking for. This type of technology is challenging, he said, due to there not being much in the way of diversified body shape models available.
He expects the company will have to collect proprietary data itself so that Revery can offer the ability for users to create their own avatar so that they can see how the clothes look.
We might actually be seeing the beginning of the tide and have the right product to serve the need, he added.
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The team streamlines neural networks to become more familiar with computing encrypted data-ScienceDaily – Illinoisnewstoday.com
This week, at the 38th International Conference on Machine Learning (ICML 21), researchers at NYU Cyber Security Center at NYU Tandon Institute of Technology unveil new insights into the basic functions that drive the ability of neural networks to make inferences. Encrypted data.
In the paper Deep ReDuce: ReLU Reduction for Fast Private Inference, the team focuses on linear and nonlinear operators, key features of neural network frameworks that place a heavy burden on time and computational resources depending on the operation. .. When neural networks compute encrypted data, many of these costs are incurred by the non-linear operation, the rectified linear activation function (ReLU).
A team of collaborators, including Brandon Regen, a professor of computer science and engineering, electrical and computer engineering, and a PhD in Nandan Kumar Jha. Students and Zahra Ghodsi, a former PhD student under the guidance of Siddharth Garg, have developed a framework called Deep ReDuce. We provide a solution by rearranging and reducing ReLU of neural networks.
Reagen explained that this shift requires a radical reassessment of where and how many components are distributed in the neural network system.
What were trying to do is rethink how neural networks are designed in the first place, he explained. By skipping many of these time-consuming and computationally expensive ReLU operations, you can get a high-performance network with 2-4 times faster execution times.
The team found that DeepReDuce improves accuracy and reduces ReLU counts by up to 3.5% and 3.5 times, respectively, compared to the latest private inference.
Surveys are not just academic. As the use of AI grows in tandem with the security concerns of personal, corporate, and government data security, neural networks are increasingly computing encrypted data. In such a scenario, which involves a neural network that generates private inference (PI) for hidden data without disclosing the input, it is the nonlinear function that offers the highest cost in time and power. These costs increase the difficulty and time it takes for the learning machine to perform PI, and researchers have struggled to reduce the burden that ReLU puts on such calculations.
The teams work is based on an innovative technology called CryptoNAS. The author is explained in previous treatises, including Ghodsi and a third PhD. Student Akshaj Veldanda, CryptoNAS, optimizes the use of ReLU because it may rearrange the way rocks are placed in streams to optimize water flow. Readjust the distribution of ReLUS in your network and remove redundant ReLUs.
DeepReDuce extends CryptoNAS by further streamlining the process. It consists of a series of optimizations for the wise removal of ReLU after the CryptoNAS reorganization feature. Researchers have tested by removing ReLU from traditional networks using DeepReDuce and found that it can significantly reduce inference latency while maintaining high accuracy.
Reagan collaborates with Mihalis Maniatakos, Research Assistant Professor of Electrical and Computer Engineering, with Duality, a data security company to design new microchips designed to handle calculations of fully encrypted data. It is also a part.
Research on ReLUS was supported by the ADA and the DARPA and Data Protection (DPRIVE) programs in virtual environments at the Center for Application-Driven Architecture.
Story source:
material Provided by NYU Tandon Institute of Technology.. Note: The content can be edited in style and length.
The team streamlines neural networks to become more familiar with computing encrypted data-ScienceDaily
Source link The team streamlines neural networks to become more familiar with computing encrypted data-ScienceDaily
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Last-mile routing research challenge awards $175000 to three winning teams – MIT News
Routing is one of the most studied problems in operations research; even small improvements in routing efficiency can save companies money and result in energy savings and reduced environmental impacts. Now, three teams of researchers from universities around the world have received prize money totaling $175,000 for their innovative route optimization models.
The three teams were the winners of the Amazon Last-Mile Routing Research Challenge, through which the MIT Center for Transportation & Logistics (MIT CTL) and Amazon engaged with a global community of researchers across a range of disciplines, from computer science to business operations to supply chain management, challenging them to build data-driven route optimization models leveraging massive historical route execution data.
First announced in February, the research challenge attracted more than 2,000 participants from around the world. Two hundred twenty-nine researcher teams formed during the spring to independently develop solutions that incorporated driver know-how into route optimization models with the intent that they would outperform traditional optimization approaches. Out of the 48 teams whose models qualified for the final round of the challenge, three teams work stood out above the rest. Amazon provided real operational training data for the models and evaluated submissions, with technical support from MIT CTL scientists.
In real life, drivers frequently deviate from planned and mathematically optimized route sequences. Drivers carry information about which roads are hard to navigate when traffic is bad, when and where they can easily find parking, which stops can be conveniently served together, and many other factors that existing optimization models simply dont capture.
Each model addressed the challenge data in a unique way. The methodological approaches chosen by the participants frequently combined traditional exact and heuristic optimization approaches with nontraditional machine learning methods. On the machine learning side, the most commonly adopted methods were different variants of artificial neural networks, as well as inverse reinforcement learning approaches.
There were 45 submissions that reached the finalist phase, with team members hailing from 29 countries. Entrants spanned all levels of higher education from final-year undergraduate students to retired faculty. Entries were assessed in a double-blind review process so that the judges would not know what team was attached to each entry.
The third-place prize of $25,000 was awarded to Okan Arslan and Rasit Abay. Okan is a professor at HEC Montral, and Rasit is a doctoral student at the University of New South Wales in Australia. The runner-up prize at $50,000 was awarded to MITs own Xiaotong Guo, Qingyi Wang, and Baichuan Mo, all doctoral students. The top prize of $100,000 was awarded to Professor William Cook of the University of Waterloo in Canada, Professor Stephan Held of the University of Bonn in Germany, and Professor Emeritus Keld Helsgaun of Roskilde University in Denmark. Congratulations to all winners and contestants were held via webinar on July 30.
Top-performing teams may be interviewed by Amazon for research roles in the companys Last Mile organization. MIT CTL will publish and promote short technical papers written by all finalists and might invite top-performing teams to present at MIT. Further, a team led by Matthias Winkenbach, director of the MIT Megacity Logistics Lab, will guest-edit a special issue of Transportation Science, one of the most renowned academic journals in this field, featuring academic papers on topics related to the problem tackled by the research challenge.
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Last-mile routing research challenge awards $175000 to three winning teams - MIT News
Unless Congress acts, fewer Indian students will come to… – The American Bazaar
Total green card backlog for Indians would increase to nearly 2.2 million by FY 2030, according to new NFAP study
Fewer Indian graduate students likely will come to America unless Congress addresses the long waits for employment-based green cards, fueled by the per-country limit and low annual quota, according to a new study.
Added to this is the rejection of 70% of H-1B registrations due to the inadequate 85,000-annual H-1B limit for companies, according to Forbes citing analysis of education data from the National Foundation for American Policy (NFAP).
US technology companies hire the greatest number of skilled workers from India and China every year through the H-1B visa for high skilled foreign nationals in specialty occupations.
For America to attract and retain top foreign-born talent, Congress and the executive branch almost certainly will need to change US policies, the NFAP study says.
Read: Include immigrants in green card backlog in budget reconciliation (August 24, 2021)
Even before the pandemic, US universities experienced declines in enrolling new international students. Covid-19 caused new enrolment to plummet, it noted.
The number of full-time international students enrolled in graduate-level electrical engineering at US universities declined 19.5% between 2015 and 2019.
The number of full-time international students enrolled in graduate-level computer and information sciences at US universities fell 9.5% between 2016 and 2019.
Between 50% and 82% of the full-time graduate students in key technical fields at US universities are international students.
Ominously, most of the graduate students are from India and Chinatwo countries where US policies are preventing or discouraging individuals from studying in America, the study suggests.
International students from India in graduate-level computer science and engineering at US universities dropped by more than 25% between the 2016-17 and 2018-19 academic years.
This decline is substantial for US universities, as 75% of full-time graduate students are international students, two-thirds of whom are from India, the National Law Review noted citing the NFAP study.
While the number of international students from India declined in the United States, the number in Canada rose from 76,075 in 2016 to 1,72,625 in 2018.
This is a 127% increase, as declared by the Canada Bureau for International Education, the Review noted.
As employment-based green cards are limited to 7% of the total issued in each fiscal year for each country, Indians wait for years and sometimes decades for their green card approvals.
Frustrated Indians have chosen to move to Canada from the United States, looking forward to a more permanent future, the review says.
Without the Congressional action, the total backlog for all three employment-based permanent resident categories for Indians would increase from an estimated 915,497 individuals currently to an estimated 2,195,795 by the fiscal year 2030, according to Stuart Anderson, NFAP Executive Director.
We should let that number sink in: Within a decade, more than two million people will be waiting in line for years or even decades for employment-based green cards, he testified before the House Judiciary Committee-Subcommittee on Immigration and Citizenship.
Highly skilled foreign nationals, including international students, are taking the informed decision of choosing Canada over America, the Review said.
The ease of acquiring temporary work visas for foreign nationals and subsequently acquiring permanent residence in Canada has pushed many foreign nationals to choose Canada.
The world has changed since 1990, the US immigration policy has not, Anderson was quoted as saying.
International students are a significant source of talent for US employers and allow US universities to offer high-quality academic programs in science and engineering for American students, according to the NFAP study.
Read: US lawmakers seek to include employment based Green Card backlog as part of budget reconciliation (August 24, 2021)
Without international students the number of students in America pursuing graduate degrees (Masters and PhDs) in fields such as computer and information sciences and electrical engineering would be small relative to the size of the US economy.
In 2019, at US universities, there were only 9,083 full-time American graduate students in electrical engineering, compared to 26,343 full-time international students.
Similarly, in computer and information sciences, in 2019, there were only 17,334 full-time American graduate students compared to 44,786 international graduate students at US universities, according to NFAP study.
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Unless Congress acts, fewer Indian students will come to... - The American Bazaar
Women in Computer Science Scholarship Winners Announced | The University of New Orleans – uno.edu
Two University of New Orleans students have been selected to receive a Women in Computer Science Scholarship, which was created by alumna Sabrina Farmer, a vice president at Google.
The award covers in-state tuition for the academic year and comes with a mentorship from Farmer who established the scholarship a year after she graduated from UNO in 1995 with a computer science degree.
The UNOs Womens Center administers the scholarship.
This scholarship was created to encourage women to stick with this career because while there are challenges, the rewards are tremendous, said Farmer, now the vice president of site reliability for many of Googles billion-customer products including Gmail, Search, Google Maps, Android and Chrome.
She also oversees reliability of product infrastructure, including Googles authentication, identity and abuse systems.
This years scholarship recipients are Courtney Harris and Lisa Gilmore-Montero.
Harris is a junior who has received numerous awards within the College of Sciences. She spent the summer working on a research project at the University of Central Florida funded by the National Science Foundation. A passionate photographer, Harris is looking for ways to bring her art into the tech space and is looking forward to Farmers guidance on the topic.
Gilmore-Montero is a senior majoring in computer science with a minor in digital media. Also a creative, she is looking forward to attending the Grace Hopper Celebration, the largest conference celebrating women in tech.
Gilmore-Montero would like to use the conferences career fair, as well as the advice of Farmer, to help her secure a job in the visually creative side of technology once she graduates.
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Women in Computer Science Scholarship Winners Announced | The University of New Orleans - uno.edu
Its not too late to learn to code. Start now with this 11-course computer science bundle! – WSLS 10
If youre applying for jobs right now, thinking about doing so in the future or looking to get ahead in your current position, one valuable skill set you can pursue is computer programming. Coding skills can be applied to a wide variety of fields from finance to design to marketing and much more. Add programming to your resume and back it up with applicable knowledge by completing the 2021 All-in-One Computer Science Certification Bundle.
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Its not too late to learn to code. Start now with this 11-course computer science bundle! - WSLS 10
WV senators announced over $3 million for research at universities in the state – WBOY.com
Charleston, W.Va. U.S. Senators Joe Manchin (D-W.Va.) and Shelley Moore Capito (R-W.Va.), members of the Senate Appropriations Committee, Thursday, announced $3,370,526 from the National Science Foundation (NSF) for research at three West Virginia universities.
The National Science Foundation continues to be a strong partner for the Mountain State and our universities, investing in important research and fostering hands-on educational opportunities for students across the state. I am pleased NSF is investing in seven different research initiatives at West Virginia University, Marshall University and Shepherd University, and I look forward to seeing the impacts of these studies. As a member of the Senate Appropriations Committee, I will continue to fight for funding to support critical research here in West Virginia.
The National Science Foundation provides incredible opportunities for our youth, while giving our higher education faculty the resources they need to inspire students to pursue challenging projects in their respective fields. Im glad to see this funding heading to Marshall University, Shepherd University, and West Virginia University. Im proud of the work that continues to be done at our colleges and universities, and I will continue to advocate for the resources they need to be successful.
Individual awards listed below:
This project will contribute to the preparation of a well-educated workforce in STEM fields by providing financial, academic, social, and career support to a diverse cohort of low-income academically talented students with demonstrated financial need at Shepherd University. The project will apply and strengthen evidence-based student support programs that improve the educational success of a diverse community of 52 students (total of 126 scholarships) majoring in a degree program offered by the Department of Computer Sciences, Mathematics, and Engineering (CME): Data Analytics, Mathematics, Computer Information Sciences, Computer Information Technology, Computer Engineering, or Engineering Science.
This project will study complex dynamical behavior in chemical systems to gain insights into new types of dynamical behavior in manufactured and living systems. It will also engage students at West Virginia University giving valuable experience in experimental and computational methods for the investigation of dynamical behavior of chemical systems. The National Science Foundation is investing $395,176 in 2021 and will invest additional funding totaling $580,000 over the next three years until the expected end date of the project 2024.
This project will lead to transformative advances in behavioral science and data-driven computational neuroscience for Autism Spectrum Disorder (ASD) phenotyping. Improved and earlier diagnosis can substantially improve quality of life of ASD individuals and their communities. This project will provide an excellent platform to train both graduate and undergraduate students at the intersection of neuroscience and computer science.
This funding will facilitate the acquisition of a specialized microscope used to visualize samples at very small dimensions. Students and faculty at Marshall University will use this microscope to gain fundamental knowledge in a range of important research projects. These include investigating calcium deposits in blood vessels, detecting toxic nanoparticles in human cells, water treatment to remove contamination and pharmaceutical manufacturing.
This project studies the Dark Energy-driven accelerating expansion of the Universe and will work to develop new radio signal technology and techniques to improve the capability of current instruments to do these experiments and thus enable a better understanding of the nature of Dark Energy. The project looks to expand interaction with school teachers to enhance their knowledge of radio astronomy techniques that can be relayed to students in schools.
This funding will be used to replace and upgrade the existing Applied Biosystems 3130xL genetic analyzer with the ABI 3500xL, allowing enhancements to the current services provided by the WVU Genomics and Bioinformatics Core Facility. Specifically, this replacement will improve turn-around time, result in higher quality output, and create the capacity for multiplexing, all of which will strengthen ongoing local and regional research and teaching efforts.
This project will work to build secure recommender systems against data poisoning attacks in order to protect individuals and companies data. This project will also provide research opportunities for students that are traditionally underrepresented in computing and will be incorporated into classes at West Virginia University.
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WV senators announced over $3 million for research at universities in the state - WBOY.com