Category Archives: Computer Science
Eastern Oregon University’s Computer Science Program Ranked Among Top 10 in the Nation – The Voice
La GRANDE, Oregon Eastern Oregon University (EOU) has been recognized as one of the top 10 online computer science programs in the United States by HostingAdvice.com, a leading authority in web hosting and technology education. This acknowledgment highlights EOUs commitment to providing high-quality education in the rapidly growing field of computer science.
The website pointed out that the designation comes as no surprise given the increasing demand for skilled professionals in the computer science industry. According to HostingAdvice.com recent statistics show, the field is projected to grow by 15% between 2021 and 2031, with approximately 683,000 new jobs anticipated a rate three times faster than the national average for all occupations.
EOUs computer science program stands out not only for its academic excellence but also for its affordability and commitment to individualized attention.
With a focus on affordability, EOU offers one of the lowest costs per credit hour among the programs listed by HostingAdvice.com.
Prospective students interested in learning more about EOUs computer science program and other offerings can visit the universitys website at http://www.eou.edu.
EOU offers a wide range of undergraduate and graduate programs in fields such as education, business, science, and the arts. With a commitment to accessibility, affordability, and student success, EOU provides a supportive learning environment where students can thrive both academically and personally.
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Eastern Oregon University's Computer Science Program Ranked Among Top 10 in the Nation - The Voice
SDSC and University of Utah Pioneer $6M National Data Platform for Equitable Scientific Research – HPCwire
March 6, 2024 The San Diego Supercomputer Center (SDSC) at UC San Diego and the University of Utah (Utah) have announced a national-scale pilot project, called the National Data Platform (NDP), aimed at a service ecosystem to make access to and use of scientific data open and equitable across a broad range of communities, including traditionally underrepresented researchers.
Led by SDSC and Utahs Scientific Computing and Imaging Institute (SCI), and in partnership with the EarthScope Consortium, the $6 million NDP pilot is funded by the U.S. National Science Foundation. The pilot will serve as a federated and extensible data and service ecosystem to foster innovation, discoveries and collaboration through the equitable access and use of science data and leveraging existing national cyberinfrastructure capabilities.
Such access and use will ensure responsible data-driven research to address urgent national and global issues such as climate change and environmental sustainability.
Additionally, with the increasing potential of artificial intelligence (AI) to enhance and accelerate solutions to many scientific and societal problems, broad and equitable access to AI-ready data repositories is essential in developing and deploying responsible AI models and enabling everyone to be a part of AI-integrated solutions.
NDP aims to bridge the gaps between data innovations and computing infrastructure through the combination of a data hub and an extensible service platform. Carefully designed workflows based on user needs assessment aim to bring equity for everyone to participate in AI-integrated solutions for research discoveries and global societal challenges, SDSCs Chief Data Science Officer and NDP Principal Investigator Ilkay Altintas said.
SDSC Director Frank Wrthwein explained that NDP builds a data and knowledge curation layer on top of low level content delivery networks like the Open Science Data Federation, thus leveraging prior and contemporary investments in cyberinfrastructure across dozens of academic institutions.
Utahs SCI Director Manish Parashar said, With the growing importance of data to all aspects of science and society, there is an urgent and critical need for open and equitable access to scientific data. Open and equitable access to scientific data can democratize science and transform society. NDP aims to create a robust, scalable and agile data platform that can enable such access.
According to SCI Research Computer Scientist and NDP Co-Principle Investigator Ivan Rodero, NDP redefines cyberinfrastructure by setting new standards for data access and collaborative science. NDP will enable a seamless integration of data services, ensuring that every researcher has the required tools to push the boundaries of discovery, he said.
About NDP
NDP is a federated and extensible data and service ecosystem aimed at promoting collaboration, innovation and open and equitable use of data on top of existing national cyberinfrastructure and cloud capabilities. The platform aims to remove barriers involving access and use of data and computing.
About SDSC
The San Diego Supercomputer Center at the University of California San Diego is a leader in high-performance and data-intensive computing and cyberinfrastructure. SDSC provides resources, services and expertise to the local, regional and national research community, including industry and academia. It supports hundreds of multidisciplinary programs spanning a wide variety of domains.
About SCI
The Scientific Computing and Imaging (SCI) Institute is a multidisciplinary research institute at the University of Utah. SCI is internationally recognized as a leader in visualization, scientific computing and image analysis, focusing on the transformation of science and society through translational research and innovation in computer, computational and data science.
Source: SDSC
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Scientists shine new light on the future of nanoelectronic devices – Argonne National Laboratory
Artificial intelligence (AI) has the potential to transform technologies as diverse as solar panels, in-body medical sensors and self-driving vehicles. But these applications are already pushing todays computers to their limits when it comes to speed, memory size and energy use.
Fortunately, scientists in the fields of AI, computing and nanoscience are working to overcome these challenges. And they are using their brains as their models.
That is because the circuits, or neurons, in the human brain have a key advantage over todays computer circuits: they can store information and process it in the same place. This makes them exceptionally fast and energy efficient. That is why scientists are now exploring how to use materials measured in billionths of a meter nanomaterials to construct circuits that work like our neurons. To do so successfully, however, scientists must understand precisely what is happening within these nanomaterial circuits at the atomic level.
The XPCS measurement would not be possible without the coherent X-ray beam from the APS. Qingteng Zhang, assistant physicist, APS at Argonne.
Recently, a team of researchers including scientists from the U.S. Department of Energys (DOE) Argonne National Laboratory pioneered a novel way of evaluating exactly that. Specifically, they used the Advanced Photon Source (APS), a DOE Office of Science user facility, to examine the changes that occur in the structure of a specific nanomaterial as it changes from conducting an electrical current to not. This mimics the switching between on and off states in a neural circuit.
In these materials, the conducting state, or phase, is controlled by imperfections in the material (or point defects) at the atomic level. By putting a strain on the nanomaterial, researchers can alter the concentration and change the position of these defects. This changes the pathway of electron flow. However, these defects are constantly moving, which changes the materials conducting and non-conducting regions. Until now, this motion has been extremely difficult to study.
There has been a lot of research about the occurrence and nature of defects in nanomaterials, explained Dillon Fong, a materials scientist at Argonne. But we knew very little about the dynamics of these defects when a material changes phase. We wanted to show that you can use X-rays to examine transitions between conducting and non-conducting phases in nanomaterials under conditions similar to those under which these materials will be used. The team demonstrated how the APS can help make this possible.
For the experiment, the researchers chose a material, SrCoOx,that easily switches between the conducting and non-conducting, insulating, phases. To see the fluctuation between the conducting phase and the insulating phase at the nanoscale, they used a technique called X-ray photon correlation spectroscopy (XPCS). This is enabled by the highly coherent X-ray beams from the APS. XPCS can directly measure how fast the material fluctuates between different phases at the atomic scale, even when these fluctuations are barely detectable.
The XPCS measurement would not be possible without the coherent X-ray beam from the APS, said Qingteng Zhang, an assistant physicist at the APS who led the X-ray measurements. In addition, it is important that we take the measurement under the same conditions that the material will operate under. This allows us to learn how the material will behave while performing its intended function. However, such environmental control usually requires sealing the sample in a chamber or a dome. This is where the highly penetrating X-ray beam from the APS is extremely helpful. Because while the chamber window or the dome shell is opaque to visible light, we can make either one completely transparent to the X-rays.
The APS upgrade now underway will increase the brightness of the APS X-rays by up to 500 times upon its completion in 2024. This will significantly increase the speed of measurement as well as the quality of coherent X-ray techniques, including XPCS. This could create unprecedented scientific opportunities for researchers around the world.
That is an exciting prospect for Panchapakesan Ganesh, a researcher at DOEs Oak Ridge National Laboratory (ORNL). He led the theoretical work in the study along with his team members Vitalii Starchenko, ORNL, and Guoxiang Hu, now an assistant professor at Georgia Tech.
High-quality data from experiments like these are critical to our ability to develop theories and build models that can capture what happens in nanoelectronic materials when they go from conducting to non-conducting phases, Ganesh said. For example, we need to learn how energy dissipates in these systems if we are going to develop nanodevices that approach the energy efficiency of our brains. No single computational approach can solve this type of problem on its own. We need the best inputs from both the experimental and computational science sides to advance this nanoscale understanding. Our integrated approach is a perfect example of that, and we think it will spur more research in this exciting new field.
The work was funded by the DOE Office of Basic Energy Sciences. Fong and his fellow researchers describe the experimental details and their findings in Advanced Materials. Besides Fong and Zhang, other Argonne authors include E. M. Dufresne, H. Zhou, Y. Dong, A. R. Sandy, G. E. Sterbinsky, G. Wan, I. C. Almazan and H. Liu.
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Scientists shine new light on the future of nanoelectronic devices - Argonne National Laboratory
How I Learned to Concentrate – The New Yorker
I arrived at M.I.T. in the fall of 2004. I had just turned twenty-two, and was there to pursue a doctorate as part of something called the Theory of Computation groupa band of computer scientists who spent more time writing equations than code. We were housed in the brand-new Stata Center, a Frank Gehry-designed fever dream of haphazard angles and buff-shined metal, built at a cost of three hundred million dollars. On the sixth floor, I shared an office with two other students, one of many arranged around a common space partitioned by a maze of free-standing, two-sided whiteboards. These boards were the groups most prized resource, serving for us as a telescope might for an astronomer. Professors and students would gather around them, passing markers back and forth, punctuating periods of frantic writing with unsettling quiet staring. It was common practice to scrawl DO NOT ERASE next to important fragments of a proof, but I never saw the cleaning staff touch any of the boards; perhaps they could sense our anxiety.
Even more striking than the space were the people. During orientation I met a fellow incoming doctoral student who was seventeen. He had graduated summa cum laude at fifteen and then spent the intervening period as a software engineer for Microsoft before getting bored and deciding that a Ph.D. might be fun. He was the second most precocious person I met in those first days. Across from my office, on the other side of the whiteboard maze, sat a twenty-three-year-old professor named Erik Demaine, who had recently won a MacArthur genius grant for resolving a long-standing conjecture in computational geometry. At various points during my time in the group, the same row of offices that included Erik was also home to three different winners of the Turing Award, commonly understood to be the computer-science equivalent of the Nobel Prize. All of this is to say that, soon after my arrival, my distinct impression of M.I.T. was that it was preposterousmore like something a screenwriter would conjure than a place that actually existed.
I ended up spending seven years at M.I.T.five earning my Ph.D. and two as a postdoctoral associatebefore taking a professorship at Georgetown University, where Ive remained happily ensconced ever since. At the same time that my academic career unfolded, I also became a writer of general-audience books about work, technology, and distraction. (My latest book, Slow Productivity, was published this month.) For a long time, I saw these two endeavors as only loosely related. Only recently have I realized that my time at M.I.T. may be the source of nearly every major idea Ive chased in my writing. At the Theory of Computation group, I got a glimpse of thinking in its purest form, and it changed my life.
A defining feature of the theory group was the explicit value that the researchers there placed on concentration, which I soon understood to be the single most important skill required for success in our field. In his book Surely Youre Joking, Mr. Feynman!, the Nobel Prize-winning physicist Richard P. Feynman recalled delivering his first graduate seminar at Princeton, to an audience that included Albert Einstein and Wolfgang Pauli: Then the time came to give the talk, and here are these monster minds in front of me, waiting! At M.I.T., we had our own monster minds, who were known for their formidable ability to focus.
I was astonished at how the most impressive of my colleagues could listen to a description of a complicated proof, stare into space for a few minutes, and then quip, O.K., got it, before telling you how to improve it. It was important that they didnt master your ideas too quickly: the dreaded insult was for someone to respond promptly and deem your argument trivial. I once attended a lecture by a visiting cryptographer. After he finished, a monster mind in the audiencean outspoken future Turing winnerraised his hand and asked, Yes, but isnt this all, if we think about it, really just trivial? In my memory, the visitor fought back tears. In the theory group, you had to focus to survive.
Another lesson of my M.I.T. years was the fundamental separation between busyness and productivity. Scientists who work in labs, and have to run experiments or crunch numbers, can famously work long hours. Theoreticians cant, as theres only so much time you can usefully think about math. Right before a paper deadline, you might push hard to get results written up. On the other hand, weeks could go by with little more than the occasional brainstorming session. An average day might require two or three hours of hard cogitation.
The idea of taking your time to find the right idea was central to my experience. As a graduate student, I was sent all around Europe to present papers at various conferences. The meetings themselves werent the point. It was the conversations that matteredone good idea, sparked on a rooftop in Bologna or beside Lake Geneva in Lausanne, was worth days of tiring travel. But despite long periods of apparent lethargy, we still were productive. By the time I left M.I.T. to start my job at Georgetown, I had already published twenty-six peer-reviewed papersand yet Id never really felt busy.
Finally, there were those whiteboards. The theory group was a collection of proudly marker-on-board thinkers, surrounded by more hands-on computer scientists who were actually programming and building tangible new things. They honed concrete inventions; by contrast, our patron saint was Alan Turing, whod completed his foundational work on the theory of computation before electronic computers were even invented. In a setting otherwise obsessed with artificial marvels, we developed a pro-human chauvinism. We were computer scientists, but we were skeptical that digital tools could be more valuable than human cognition and creativity.
The culture at M.I.T. was intense to the point of being exclusionary. If your output wasnt laser-focussed, the system would quietly shunt you away. (The doctoral program included an ambiguous requirement called the research qualifying exam, which provided a natural checkpoint at which students who werent producing publications could move on to other opportunities.) This approach makes perfect sense for an institution trying to train the worlds technical lite, but it cant be easily exported to a standard workplace. Most organizations are not made up of a bunch of Erik Demaines.
Still, starting from these specialized roots and then moving on to write for more general audiences, Ive come to believe that these narrow extremes still somehow embody broad truths. Too many of us undervalue concentration, and substitute busyness for real productivity, and are quick to embrace whatever new techno-bauble shines brightest. You dont have to spend hours staring at whiteboards or facing down monster minds for these realizations to ring true. M.I.T. is preposterousbut in its particulars it may have also isolated something that the rest of us, deep down, know is important.
Slow Productivity, my newest book, is ostensibly about work. It rejects a notion of productivity based on activity, and instead promotes a slower alternative based on real value produced at a more humane pace. When I wrote it, I didnt realize that I was inspired by the eccentric theoretical computer scientists with whom I once loafed around the Stata Center. But I was. Decades later, I still think they were doing something right.
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Webster University Computer Science Club Programs its Future by Participating in ICPC Mid-Central Regional Contest – Webster University Newsroom
The Webster University Computer Science Club Coding Team: from left: Zach McColgan, Urmat Urustemov, Muaz Mohammed, Divyam Arora, and Zach Novak.
Webster Universitys Computer Science Club (CS Club) recently competed in the International Collegiate Programming Contest (ICPC) Mid-Central Regional Contest for the first time in four years. The event was held in Cape Girardeau at Southeast Missouri State University. Two coding teams from the CS Club participated the Golden Gorloks, which consisted of upperclassmen Divyam Arora, Zach McColgan and Urmat Urustemov, and the Gorlok Blues, comprised of underclassmen Muaz Mohammed and Zach Novak.
The International Collegiate Programming Contest is an algorithmic programming contest for college students. Teams of three, representing their university, work to solve real-world problems, fostering collaboration, creativity, innovation, and the ability to perform under pressure. Through training and competition, teams challenge each other to raise the bar on the possible. ICPC is the oldest and largest programming contest in the world.
Although the ICPC Competition is typically held in November, the 2023 competition was held in February 2024 due to a postponement resulting from the COVID-19 pandemic.
Participating in the ICPC Mid-Central Regional Contest was an incredible experience for our Coding Team, said Arora, who serves as the Coding Team lead. It was our very first ICPC competition, and we gained invaluable experience that will undoubtedly shape our future endeavors. The challenges were both exciting and thought-provoking, and the team worked seamlessly to navigate them."
The Golden Gorloks team smiles for a quick photo during the competition.
During the competition, the Golden Gorloks solved five questions, which was the maximum number of questions solved by any team at the site. They placed 42nd out of 87 teams. The Gorlok Blues placed 79th out of 87 teams.
I enjoyed the whole experience - I was not expecting it to be as inviting as it was, but that really helped my nerves, shared Zach Novak, a sophomore from the Gorlok Blues team. I learned a lot about teamwork when it comes to coding and how it's not always a one-man job, as well as how to use my voice to share my thoughts which help further the discussion. This first competition and hopefully many more will benefit my future as a programmer. Getting to experience a more stressful coding environment helps build confidence. Additionally, the networking and communication aspects of the conference helped strengthen my skills and build my professional network.
Zach Novak and Muaz Mohammed, both members of the Gorlok Blues team.
These coding teams are made up of bright and intelligent students, said Lasanthi Gamage, coach of the CS Club and associate professor in Websters department of Computer & Information Sciences. More importantly, they are self-motivated and dedicated students who are full of determination. I am happy to see how they came from different levels of knowledge and worked together. They continually support each other to grow. During the competition, they practiced interpersonal communications while problem-solving, learning from their mistakes to perform even better.
Arora is already looking forward to future competitions for the Webster University CS Club.
I can confidently say that our team is not only planning to participate again next year but is determined to secure an even higher position. The lessons learned from this competition have fueled our enthusiasm, and we are committed to honing our skills and strategies for a more competitive edge. We're excited about the opportunity to build on this foundation and showcase the growth of our Coding Team in the coming year.
The 2024 ICPC competition will be held as per usual in November 2024.
The Computer Science Club at Webster University aims to provide students with hands-on tech experience, professional networking opportunities and peer support for all members. After being reinstated with a new constitution and vision in 2020, it has become one of the fastest growing clubs on campus, welcoming nearly 50 new members for the current academic year alone.
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SheTech: Inspiring the next generation of women in tech – Utah Business – Utah Business
What happens when you fail your first computer science test in high school?
You get an internship at Microsoft in college.
In colleges and universities around the world, women are less likely to complete their STEM degrees than men (48 percent vs. 65 percent). But the sadder numbers are all the women who never even make it that far. Research shows that many women dont embark on STEM paths because they dont believe theyre capable, even though the same study shows they are just as prepared as men. Women are more likely to feel marginalized as an isolated minority in their fields before they even hit the workforce, where numbers for recruitment and retention worsen. The courses are hard, job prospects are competitive, and finding a woman in any of these roles is challenging. With this outlook, they often drop out.
If both genders are entering college equally prepared, but women dont believe there is a space for them, it wont matter how well they learned coding or how great their teachers were. We will never increase the number of women in the tech talent pipeline until we change their perception of whats possible. Without them, well be missing essential insights and ideas to solve our biggest problems.
Angela was smart, ambitious and bravely taking on the challenge of being one of the few girls in her high school advanced computer science class. Angela was interested in the field, but an experience challenged her confidence. After an insane amount of work, she failed her first computer science test. Her hard work should have indicated otherwise, but this feedback led her to conclude that computer science wasnt for her, as if her brain wasnt made to do this kind of work and she shouldnt continue.
Just in time, a friend told her about a program called SheTech, where she could meet women working in technology jobs and find out what its like to work in STEM. Angela attended SheTech Explorer Day, hoping to be introduced to an alternative field to computer science where she would feel more confident. Instead, she learned about more computer science jobs than she ever imagined. Angela met dozens of women working in the field whose work and personal journeys were fascinating, and they took the time to talk to Angela about her interests and future.
At SheTech Explorer Day, Angela was assured that she was capable of success and the courses she was taking were challenging for everyone. Stories about their own struggles and setbacks helped her see that there was a place for her in STEM. This experience inspired Angela to change her mind about herself and keep going with a new vision of what was possible in her personal future.
Today, Angela is at the University of Utah studying (you guessed it!) computer science. Angela finished high school as the Utah Sterling Scholar in computer technology and now excels in her college studies. She recently completed an internship at Microsoft. College courses are far more challenging than the ones she started with in high school, but she tries again when she gets stuck, and no setback or failure will remove her confidence in her chosen career path. The trajectory of Angelas entire life changed because real women in STEM inspired her to keep going and do more than she ever thought possible.
This is the kind of activation we need for all girls. No matter what theyre interested in, they deserve the chance to see how technology is a part of that field and that theres a path for them in STEM with so many opportunities and possibilities.
The next SheTech Explorer Day is on March 14, 2024. No matter where you work or live, talk to the high school girls you know about their interests, their future and the opportunities waiting for them in tech. Help them sign up so they can connect with role models who will inspire them and bolster the trajectory of their lives. We need them in STEM, and they need us to help them see how true that is.
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SheTech: Inspiring the next generation of women in tech - Utah Business - Utah Business
CCI’s Manuel Prez Quiones elected to board of directors of Computing Research Association – Inside UNC Charlotte
Manuel Prez Quiones, a professor in the Department of Software and Information Systems in the College of Computing and Informatics,was elected to the Board of Directors of the Computing Research Association, one of the nations most influential computing research and policy nonprofit organizations.
An active member of CRA, Prez Quiones has served on multiple high-level CRA search and steering committees and was formerly chair of a committee that together with CRA-W eventually became the Computing Research Associations Committee on Widening Participation in Computing Research. In his new role, he anticipates continuing collaborating with CRA to broaden industry participation across all underrepresented groups.
As a member of an underrepresented group in computing, I feel like Im entering a roomwhere few people like me have entered before, Prez Quiones said. Not in a million years would I have imagined this. It feels very special, because historically I have not seen people like me in those positions.
An advocate for broadening participation in computing, Prez Quiones is excited to share his unique perspective as a Latino and Puerto Rican leader in academia and his decades of experience in human-computer interaction and computer science education research toward the goal of creating a stronger, more equitable computing industry.
Based in Washington, D.C., CRA is composed of over 250 North American organizations active in computing research; academic departments of computing; laboratories and centers in industry, government and academia; and affiliated professional societies. The organization works closely with the National Science Foundation and supports several initiatives to expand computer science research funding as well as mentoring and outreach programs.
Along with his fellow newly elected and re-elected board members, Prez Quiones will serve a three-year term beginning July 1.
Prez Quiones, who joined UNC Charlotte in 2015, just completed a rotation as program officer at the National Science Foundation in the Education and Workforce Cluster part of the Computer and Information Sciences and Engineering Directorate.
He previously served on the faculties of Virginia Tech University and the University of Puerto Rico-Mayaquez and was a visiting professor at the U.S. Naval Academy and Northeastern University. He worked as a computer scientist at the federal Naval Research Lab in Washington D.C. while earning a D.Sc. in computer science from George Washington University, after completing bachelors and masters degrees at Ball State University.
We are all tremendously proud of our friend and colleague Dr. Prez Quiones for being elected to the board of directors of the leading national computing research organization, said Bojan Cukic, dean of the College of Computing and Informatics. Manuel represents the best of CCI and our University. His tireless efforts towards equitable participation of women and underrepresented minorities in computing and thoughtful mentorship have influenced many, not only at UNC Charlotte but across the world of computing.
Read the entire article on the College of Computing and Informatics website.
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Computer class instruction | | timesnews.net – Kingsport Times News
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Computer class instruction | | timesnews.net - Kingsport Times News
Connecting the dots: Visiting scientists offer a glimpse into the future of data compression – The Killeen Daily Herald
With the proliferation of artificial intelligence shaping the modern marketplace, finding models and uses for the technology has become an increasingly important endeavor for computer scientists. Students, faculty and staff at Texas A&M UniversityCentral Texas were treated to a glimpse into research surrounding the field recently by a pair of visiting professors from Poland.
Dariusz Puchala, Ph.D., and Kamil Stokfiszewski, Ph.D., of Lodz University of Technology in Poland specialize in the field of data compression and are working with A&MCentral Texas Assistant Professor KhaldoonDhou, Ph.D., to develop advanced models of data compression and determine a means by which artificial intelligence platforms can be compressed for use in smaller device with less computational power.
Dhou, who teaches in the Subhani Department of Computer Information Systems, invited his colleagues to campus to continue the teams research and to introduce the Polish duo to his research methods at a United States university. Stokfiszewski said the research internship has been invaluable to their efforts.
Since our collaboration becomes intense, Dr. Dhou invited us to see how he works and to work on some things together, Stokfiszewski said.
As a team, the trio is working on developing compression models through which loss of data during compression goes unnoticed when the files are transferred and re-opened. For instance, a large photo taken in high resolution by a professional camera carries enough data that the file is not easily transferred. When compressed, some of the data is lost to make the file size smaller and more manageable. However, upon decompression, the idea is that the user will notice no difference in the file.
The trios work focuses on things much larger than a single photo, however. Stokfiszewski said the loss of data in compression is done in a smart way. In such a way that the human is quite satisfied.
Dhou said the model they developed has significantly out-performed international standards for data compression. Now, the group is continuing its work and focusing on artificial intelligence. Stokfiszewski said they are looking at the neural networks that drive artificial intelligence and trying to find a way to compress the AI models to work properly with far less computational demand.
Those neural network models are quite huge, he said. It takes quite an amount of RAM memory in our computers and mobile devices.
The group is focusing on compressing AI models so they can be loaded on mobile devices and still function properly. Puchala compared it to a self-contained black box a complicated device that produces useful information without revealing information about its internal workings. These devices can be used in various industries to transform specific data sets into useful outcomes.
It works more like the black box, Puchala said. We construct the black box. We have data and the black box learns something that allows it to generate results.
Dhou said not only is having Puchala and Stokfiszewski on campus beneficial to his research, but seeing his own research through their perspective is helping to shape his approach and how he teaches his students.
That is helping me to shape my lectures, Dhou said. When I teach students some concepts in programming and AI, I tell them about whats happening in the real world and that is giving them additional knowledge, not just what they take from the textbook.
Dhou said he tries to consistently add content to his lectures that students are unable to find with a simple online search.
My rule is to add something to my lectures and make them try to connect the dots and connect themselves to their world.
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Eight from MIT named 2024 Sloan Research Fellows – MIT News
Eight members of the MIT faculty are among 126 early-career researchers honored with 2024 Sloan Research Fellowships by the Alfred P. Sloan Foundation. Representing the departments of Chemistry, Electrical Engineering and Computer Science, and Physics, and the MIT Sloan School of Management, the awardees will receive a two-year, $75,000 fellowship to advance their research.
Sloan Research Fellowships are extraordinarily competitive awards involving the nominations of the most inventive and impactful early-career scientists across the U.S. and Canada, says Adam F. Falk, president of the Alfred P. Sloan Foundation. We look forward to seeing how fellows take leading roles shaping the research agenda within their respective fields.
Jacob Andreas is an associate professor in the Department of Electrical Engineering and Computer Science (EECS) as well as the Computer Science and Artificial Intelligence Laboratory (CSAIL). His research aims to build intelligent systems that can communicate effectively using language and learn from human guidance. Jacob has been named a Kavli Fellow by the National Academy of Sciences, and has received the NSF CAREER award, MIT's Junior Bose and Kolokotrones teaching awards, and paper awards at ACL, ICML and NAACL.
Adam Belay, Jamieson Career Development Associate Professor of EECS in CSAIL, focuses on operating systems and networking, specifically developing practical and efficient methods for microsecond-scale distributed computing, which has many applications pertaining to resource management in data centers. His operating system, Caladan, reallocates server resources on a microsecond scale, resulting in high CPU utilization with low tail latency. Additionally, Belay has contributed to load balancing, and Application-Integrated Far Memory in OS designs.
Soonwon Choi, assistant professor of physics, is a researcher in the Center for Theoretical Physics, a division of the Laboratory for Nuclear Science. His research is focused on the intersection of quantum information and out-of-equilibrium dynamics of quantum many-body systems, specifically exploring the dynamical phenomena that occur in strongly interacting quantum many-body systems far from equilibrium and designing their novel applications for quantum information science. Recent contributions from Choi, recipient of the Inchon Award, include the development of simple methods to benchmark the quality of analog quantum simulators. His work allows for efficiently and easily characterizing quantum simulators, accelerating the goal of utilizing them in studying exotic phenomena in quantum materials that are difficult to synthesize in a laboratory.
Maryam Farboodi, the Jon D. Gruber Career Development Assistant Professor of Finance in the MIT Sloan School of Management, studies the economics of big data. She explores how big data technologies have changed trading strategies and financial outcomes, as well as the consequences of the emergence of big data for technological growth in the real economy. She also works on developing methodologies to estimate the value of data. Furthermore, Farboodi studies intermediation and network formation among financial institutions, and the spillovers to the real economy. She is also interested in how information frictions shape the local and global economic cycles.
Lina Necib PhD 17, an assistant professor of physics and a member of the MIT Kavli Institute for Astrophysics and Space Research, explores the origin of dark matter through a combination of simulations and observational data that correlate the dynamics of dark matter with that of the stars in the Milky Way. She has investigated the local dynamic structures in the solar neighborhood using the Gaia satellite, contributed to building a catalog of local accreted stars using machine learning techniques, and discovered a new stream called Nyx. Necib is interested in employing Gaia in conjunction with other spectroscopic surveys to understand the dark matter profile in the local solar neighborhood, the center of the galaxy, and in dwarf galaxies.
Arvind Satyanarayan in an assistant professor of computer science and leader of the CSAIL Visualization Group. Satyanarayan uses interactive data visualization as a petri dish to study intelligence augmentation, asking how computational representations and software systems help amplify our cognition and creativity while respecting our agency. His work has been recognized with an NSF CAREER award, best paper awards at academic venues such as ACM CHI and IEEE VIS, and honorable mentions among practitioners including Kantars Information is Beautiful Awards. Systems he helped develop are widely used in industry, on Wikipedia, and in the Jupyter/Python data science communities.
Assistant professor of physics and a member of the Kavli Institute Andrew Vanderburg explores the use of machine learning, especially deep neural networks, in the detection of exoplanets, or planets which orbit stars other than the sun. He is interested in developing cutting-edge techniques and methods to discover new planets outside of our solar system, and studying the planets we find to learn their detailed properties. Vanderburg conducts astronomical observations using facilities on Earth like the Magellan Telescopes in Chile as well as space-based observatories like the Transiting Exoplanet Survey Satellite and the James Webb Space Telescope. Once the data from these telescopes are in hand, they develop new analysis methods that help extract as much scientific value as possible.
Xiao Wang is a core institute member of the Broad Institute of MIT and Harvard, and the Thomas D. and Virginia Cabot Assistant Professor of Chemistry. She started her lab in 2019 to develop and apply new chemical, biophysical, and genomic tools to better probe and understand tissue function and dysfunction at the molecular level. Specifically, with in situ sequencing of nucleic acids as the core approach, Wang aims to develop high-resolution and highly-multiplexed molecular imaging methods across multiple scales toward understanding the physical and chemical basis of brain wiring and function. She is the recipient of a Packard Fellowship, NIH Directors New Innovator Award, and is a Searle Scholar.
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