Category Archives: Computer Science
Avi Wigderson receives 2023 ACM A.M. Turing Award – SDTimes.com
ACM has announced that it is awarding the 2023 ACM A.M. Turing Award to Avi Wigderson for his contributions in the area of theoretical computer science, and notably, for changing our understanding of how randomness works in computation.
Wigderson is a towering intellectual force in theoretical computer science, an exciting discipline that attracts some of the most promising young researchers to work on the most difficult challenges, said Yannis Ioannidis, president of ACM. This years Turing Award recognizes Wigdersons specific work on randomness, as well as the indirect but substantial impact he has had on the entire field of theoretical computer science.
At their core, computers are deterministic systems, meaning their algorithms follow a predictable pattern where output is determined by the input. But the world we live in is full of random events, so computer scientists have enabled algorithms to make random choices too, which makes them more efficient. There are also many use cases where there isnt a possible deterministic algorithm, so these probabilistic algorithms have been used instead.
Many computer scientists have devoted their research to uncovering the relationship between randomness and pseudorandomness in computation, according to ACM.
Is randomness essential, or can it be removed? And what is the quality of randomness needed for the success of probabilistic algorithms? These, and many other fundamental questions lie at the heart of understanding randomness and pseudorandomness in computation. An improved understanding of the dynamics of randomness in computation can lead us to develop better algorithms as well as deepen our understanding of the nature of computation itself, ACM wrote in the post announcing this years award winner.
Wigdersons research proved that every probabilistic polynomial time algorithm can be efficiently derandomized and that randomness isnt essential for efficient computing.
Three of the papers he authored on this topic were then used by other computer scientists and led to several other new ideas.
Besides his work studying randomness is computation, his other areas of interest have included multi-prover interactive proofs, cryptography, and circuit complexity.
ACM also highlighted the fact that Wigderson has mentored many young researchers in the field. He is currently a professor in the School of Mathematics at the Institute for Advanced Study in Princeton, New Jersey.
Avi Wigdersons work on randomness and other topics has set the agenda in theoretical computer science for the past three decades, said Jeff Dean, senior vice president of Google. From the earliest days of computer science, researchers have recognized that incorporating randomness was a way to design faster algorithms for a wide range of applications. Efforts to better understand randomness continue to yield important benefits to our field, and Wigderson has opened new horizons in this area. Google also salutes Wigdersons role as a mentor. His colleagues credit him with generating great ideas and research directions, and then motivating a new generation of smart young researchers to work on them. We congratulate Avi Wigderson on receiving the ACM A.M. Turing Awardcomputings highest honor.
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Avi Wigderson receives 2023 ACM A.M. Turing Award - SDTimes.com
Israeli scientist Avi Wigderson wins prestigious AM Turing Award – The Times of Israel
Israeli computer scientist Avi Wigderson is awarded the prestigious AM Turing award.
Wigderson is hailed by the Association of Computing Machinery, the organization that oversees the prize, for reshaping our understanding of the role of randomness in computation, and for decades of intellectual leadership in theoretical computer science.
Wigderson has been a leading figure in areas including computational complexity theory, algorithms and optimization, randomness and cryptography, parallel and distributed computation, combinatorics, and graph theory, as well as connections between theoretical computer science and mathematics and science, the ACM noted.
The Turing Prize recipients receive a $1 million grant, funded by Google.
Haifas Technion also lauds Wigderson, an alumnus of the university.
After doing his undergrad at the Technion, Wigderson went on to do his MA and PhD at Princeton and is now a researcher at the Institute for Advanced Study in Princeton, New Jersey.
He has long maintained ties with the Technion and in June of 2023 was awarded an honorary doctorate there for his significant contribution and leadership in the fields of computer science theory and discrete mathematics and in gratitude for his long-standing relationship with the Technion, beginning with his undergraduate studies, the Technion says.
Wigderson, born in Haifa in 1956, has had a prolific and varied career in the field of computer science, with hundreds of peer-reviewed articles to his credit and numerous other publications.
The Turing Award, also called The Nobel Prize of Computing, is named after Alan Turing, the British cryptographer and mathematician who famously cracked the Nazi Enigma cipher during World War II.
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Israeli scientist Avi Wigderson wins prestigious AM Turing Award - The Times of Israel
Avi Wigderson wins Turing Award for his influential work in computational randomness – TechSpot
Kudos: Let's hear it for theoretical computer scientists. Without their work, we would not be carrying around a mini computer in our pockets. Perhaps even more importantly, we couldn't accurately predict the weather or be on the edge of reliable quantum computing. Avi Wigderson rightly deserves recognition in this field for work that has widely influenced so many others.
On Wednesday, the Association for Computing Machinery, a prestigious organization in the field of computer science, awarded mathematician Avi Wigderson the Turing Award. This award, often called the Nobel Prize of Computing, is named after Alan Turing, a pioneer in the field. It is considered one of the highest honors in computer science and comes with a million-dollar cash prize, reflecting the significant impact of the recipient's work.
Wigderson is a theoretical computer scientist specializing in randomness, cryptography, computational complexity, and other related pursuits. He works as an advanced mathematics professor at the Institute for Advanced Study at Princeton, New Jersey.
Theoretical computer scientists tackle questions like, "Is this problem solvable through computation?" or "If this problem is solvable through computation, how much time and other resources will be required?"
It also delves into the realm of computer algorithm optimization. Just because a line of code is the most obvious way to execute a task does not mean it is the most efficient way. So Wigderson and others in the field are indirectly responsible for breakthroughs in everything from cryptography to machine learning.
Wigderson has led theoretical research that has laid the foundations for computational randomness and pseudorandomness in systems for forty years. It was long thought that chaotic systems like the weather or quantum mechanics are impossible to model using deterministic instructions because of those systems' inherent random behavior.
In a series of studies, Wigderson and his colleagues challenged widely believed computational assumptions by proving that all probabilistic polynomial time algorithms can be "derandomized" efficiently and be made fully deterministic. Derandomization is the process of converting a probabilistic algorithm into a deterministic one, which has significant implications for the efficiency and reliability of computational processes.
"In other words, randomness is not necessary for efficient computation," the ACM notes. "This sequence of works revolutionized our understanding of the role of randomness in computation, and the way we think about randomness."
Wigderson's seminal works include the papers "Hardness vs Randomness," "BPP Has Subexponential Time Simulations Unless EXPTIME has Publishable Proofs," and "P = BPP if E Requires Exponential Circuits: Derandomizing the XOR Lemma." These papers, co-authored by contemporaries like Noam Nisan and Lance Fortnow, became foundational material for other studies in theoretical computer science.
As a professor, Wigderson has mentored students and colleagues alike. He has a passion for his field of study and an enthusiasm for sharing his knowledge with everyone he meets.
"Notably, none of these papers are solely authored or even have much overlap in their author lists," Fortnow wrote in his blog regarding his colleague's achievement. "Avi shared his wisdom with many, nearly 200 distinct co-authors according to DBLP. Congrats to Avi and this capstone to an incredible career and individual."
Image credit: Association for Computing Machinery
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Avi Wigderson wins Turing Award for his influential work in computational randomness - TechSpot
Join us for the 2024 Computer Science Alumni and Industry Symposium – UM Today
April 11, 2024
The computer science and tech community in Winnipeg is always growing with many opportunities for collaboration, innovation and creativity. UM Computer Science students often seek opportunities to connect with their community, network with their peers and industry representatives, and map out their future careers. Alumni are key to flourishing this community and guiding the next generation to enter the workforce. To achieve that, the department of computer science is holding the 2024 Computer Science Alumni and Industry Symposium for the second year and invites everyone curious about anything computer science and tech-related to join the event on May 3, 2024, at the RBC Convention Centre.
The symposium will include a series of short talks from the computer science department faculty and researchers, as well as a job fair to connect the near-graduation students with the broader tech community in Winnipeg. There will be food and drinks while the attendees network with each other and build connections.
This is a paid event and registration is required to join the event. You can register now through the Faculty of Science Eventbrite.
Kimia Shadkami
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Join us for the 2024 Computer Science Alumni and Industry Symposium - UM Today
Lawmakers narrow, advance bill on computer science, special education, reading and more Nebraska Examiner – Nebraska Examiner
LINCOLN A package of education-related bills is one step away from heading to the governor for approval, including the recruitment of special education teachers and training programs in reading and computer science.
Lawmakers advanced Legislative Bill 1284 on Tuesday from second-round debate while significantly reducing its fiscal impact through a plan to tap into existing funds for the proposed programs. The package of bills, spearheaded by State Sen. Lynne Walz of Fremont, would also set aside funds for dyslexia research grants and to put menstrual products in select schools.
This bill is so important to make sure that we are meeting the ever-changing needs of our students, teachers and parents, Walz said during debate.
Originally, LB 1284 included nine other bills with a cost of $1.25 million this fiscal year, followed by $17.3 million and $11.3 million in the next two.
The bill also came at a time when senators are running short on funds for their proposals.
Lawmakers adopted two amendments reducing LB 1284s General Fund impact, from the states main pocketbook, to administrative costs for the Teach in Nebraska Today Act, a teacher retention program.
The reductions lead to a General Fund impact of just under $150,000 in the next fiscal year and about $80,000 the year after.
The teaching act would be restructured as a grant program rather than loan repayment. Lawmakers kept the annual appropriation at $5 million rather than doubling it as originally proposed.
All other programs in LB 1284 would be funded through the Education Future Fund created last year ($4 million) or cash funds ($2.4 million).
LB 1284 originally included two bills aimed to bring more special education teachers to Nebraska, but one was removed Tuesday and the other was significantly reduced.
Walzs LB 1238, the Special Educators of Tomorrow Act, is no longer part of LB 1284. It would have provided scholarships and loans to individuals who work with disabilities as direct support professionals to become special education teachers.
A proposal from State Sen. George Dungan would extend eligibility for Nebraska Career Scholarships to include teaching in special education. As amended it would no longer provide forgivable loans to a handful of students studying special education each year.
State Sen. Lou Ann Linehan of Elkhorn originally sought to appropriate $10 million annually for reading improvement mentorship programs and to employ regional coaches to train teachers in kindergarten through third grade how to teach reading. That funding was reduced to $2 million.
Linehan said Tuesday that half of students will pick up how to read just through repetition, but the other half need more intensive help, such as a focus on phonics or vocabulary.
The funding in this bill will help the Department of Ed and the ESUs [educational service units] make sure that all our teachers have all the tools they need to make sure we increase reading, Linehan said.
Other proposals with reduced funding:
Linehan noted that she previously worked with former State Sen. Patty Pansing Brooks on third grade reading and dyslexia programs, and LB 1284 capped off her efforts. Both Linehan and Walz are barred from seeking reelection in the fall due to term limits.
This is kind of the last rah rah on those things, Linehan said.
LB 1284 advanced to a final round of debate via voice vote.
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U.S. News Ranks UT Austin Computer Science Among Best in Graduate Program Rankings – College of Natural Sciences
The University of Texas at Austin continues to be one of the premier schools for graduate studies, according to U.S. News & World Reports partial release of its most recent Best Graduate Schools. UT made gains in several disciplines, including computer science.
Overall, the University has 42 graduate schools and specialty programs ranked in the top 10 when combined with previous years, including a dozen in the College of Natural Sciences. The publication updates some of its specialty rankings each year and republishes the most recent rankings in other areas. Additionally, U.S. News delayed release of some rankings.
These numbers are meaningful. Having more than 40 schools, programs and specialties ranked in the top 10 in this partial release alone, including several that are the best in the country, if not the world, is reflective of our ability to continue to attract exceptional faculty and students, said President Jay Hartzell. Our talent is what puts UT at the leading edge of discovery in AI and robotics, life sciences, population research, and many other disciplines that are at the forefront of solving many of the worlds most pressing problems and bettering society.
The College of Natural Sciences has 12 programs and specialties ranked among the top 10 in the most recent ranking for a discipline, the most of any college or school at UT Austin. Computer Science (No. 7) scored top 10 rankings in all four disciplines specialties that are ranked within departments.
U.S. News & World Reports graduate rankings, which are published separately from the magazines yearly ranking of undergraduate programs, are considered the gold standard of graduate and professional rankings. They are based on surveys of academic leaders and, for select programs, additional quantitative measures including placement test scores, student/faculty ratios, research expenditures and job placement success.
UT Austin graduate schools, programs and specialties within Natural Sciences that U.S. News & World Report ranked this year or last are listed below.
Chemistry 16*
Computer Science 7
Mathematics 13*
Physics 13*
Statistics 27*
* Ranking not revised for 2024-25.
In the most recent life science rankings from U.S. News, UT Austin ranked in the top 25 for biological sciences, including ranking 8th in ecology/evolutionary biology; in the most recent ranking for plasma physics, UT ranked third.
Read the full UT press release
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Michigan Tech Computer Science Professor Earns a Distinguished Professor of the Year Award from the MASU – keweenawreport.com
A Michigan Tech professor earns recognition from the state of Michigan as a distinguished professor of the year.
The Michigan Association of State Universities recently announced the 2024 Distinguished Professor of the Year award recipients including, Charles Wallace, an Associate professor of Computer Science and Dean of Curriculum and Instruction in the College of Computing. Wallace has worked at Michigan Technological University since 2000, primarily in the areas of Computer education, and software usability and ethics. Wallace holds a bachelor of linguistics from the University of Pennsylvania, and a MA in Linguistics from the University of California. He earned his doctorate in computer science while studying at the University of Michigan.
Wallace earned the distinguished Professor award in 2024 for his work to create the series robot101, celebrating the 101st anniversary of the coined term Robot. During the event, Wallace organized activities including discussions on emerging technologies, and analyzed the play Rossums Universal Robots. He also worked to create a course titled Read Write Engage, with help from colleagues.
In the local community, Wallace has also developed adult and children tech literacy programs, with the Building Adult Skills in Computing program.
The other two professors in the state to receive the award are Brad Waller from Grand Valley State University, and Shay Dawson from Central Michigan University.
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Michigan Distinguished Professors of the Year Announced
Lansing, MI Three professors from among Michigans 15 public universities who are leaders in their field and passionately dedicated to student success have been selected as Distinguished Professor of the Year Award recipients. The award will be presented by the Academic Affairs Officers of the Michigan Association of State Universities at the 2024 Distinguished Professor of the Year Awards program at the Lansing Center on Friday, April 12.
The Michigan Distinguished Professor of the Year Award recognizes the outstanding contributions and dedication exhibited by the faculty from Michigans 15 public universities to the education of undergraduate students. Each university was invited to nominate a faculty member who has had a significant impact on undergraduate student learning through various activities, particularly classroom instruction, applied research, experiential learning, innovation and mentoring.
The 2024 recipients are: Dr. Shay Dawson of Central Michigan University, Dr. Charles (Chuck) Wallace of Michigan Technological University and Dr. Brad Wallar of Grand Valley State University.
All three of this years award recipients are emblematic of the commitment to excellence in undergraduate education that makes them stand out from their peers, said MASU Chief Executive Officer Daniel Hurley. They each serve to illustrate that Michigans 15 public universities are leading the way in providing exceptional educational opportunities for students throughout the state.
The 2024 recipients are introduced below:
Shay Dawson, Associate Professor of Recreational Therapy and Rehabilitation, Central Michigan University
Dr. Dawson joined the CMU faculty in 2018. He earned his bachelors and masters degrees in therapeutic recreation, both from Kent State University, and earned his doctorate in leisure behavior as well as social science approaches to health and healing systems from the School of Public Health at Indiana University.
As the director of CMUs undergraduate Recreational Therapy and Rehabilitation program, Dr. Dawson not only imparts theoretical foundations but also fosters engaging applications, preparing students to make meaningful contributions to their communities. He consistently embodies excellence across all award criteria, serving as a stellar example of superior teaching, scholarly achievement, innovation, and impactful contributions to both his institution and the broader community.
Dr. Dawsons influence extends beyond the classroom, where he builds strong mentoring relationships with students pursuing their studies and places great value on building community partnerships and relationships that support the success of his students. He actively collaborates with recreational therapists in the local and broader community, establishing partnerships that allow students to apply their knowledge in real world settings. He is currently embarking on a new partnership with the Saginaw Chippewa Indian Tribe and local K-12 schools, where he will bring together undergraduate students to provide therapeutic programming over a four-year period. Despite maintaining high expectations for student success, Dr. Dawson consistently receives exceptional evaluations that surpass department, college, and university standards.
His dedication to individualized and experiential learning is evident in the development of the undergraduate minor and graduate certificate in Disability Studies and Community Inclusion (DSCI). Dr. Dawsons commitment to raising awareness of disability issues is commendable, as seen in his creation of a study abroad program, growth of the DSCI minor beyond expectations, and securing a grant to provide disability training to healthcare and medical students.
Dr. Dawsons focus on equity and inclusion is reflected in his significant body of work. His research consistently addresses evidence-based practices to enhance the quality of life for individuals with disabilities. Notably, his publications, awards, and recognitions, including the 2023 Marcia Carter Scholarly Manuscript of the Year Award, highlight the impact of his contributions to recreational therapy and disability studies. His recent nomination for the Universitys Excellence in Teaching Award and receipt of the 2022 Exemplary Blackboard Course National Award for the creation and implementation of RPL 110: Experience of Disability and Social Marginalization, underscore his commitment to accessible education for all students.
Charles (Chuck) Wallace, Associate Professor of Computer Science and Associate Dean of Curriculum and Instruction, Michigan Technological University
Dr. Wallace has served on the MTU faculty since 2000. He earned his Bachelor of Arts in linguistics from the University of Pennsylvania, an M.A. in linguistics from the University of California, and his doctorate in computer science and engineering from the University of Michigan.
Dr. Wallaces research is primarily in the areas of computing education, software usability and ethics. His work is nationally recognized and supported by external funding, including from the National Science Foundation. In addition to his extraordinary research, Dr. Wallace often puts his colleagues research into practice. He views their research as an asset, not as competition. He helped design MTUs software engineering program and remains actively involved in student advising. Furthermore, collaborating with colleagues, he partnered with other researchers to make connections between computing and other disciplines, particularly in the social sciences and humanities.
Specifically, last year Dr. Wallace led a team that created a series of events called Robot101. Robot101 celebrated the 101st anniversary of the term robot, which was coined in apeks play R.U.R. (Rossums Universal Robots). The activities included discussions of the play and its adaptations, which collectively represented a university-wide discussion of opportunities and threats around technology, automation, and AI. He also co-designed and co-taught a course titled Read Write Engage with colleagues in literature, philosophy, and history, re-envisioning first-year composition as a way of exploring meaningful issues surrounding technology.
Dr. Wallace has also made significant contributions to his local community. He developed and delivered programs for adults and children to help improve digital literacy, and recruited students to help teach and deliver these courses, allowing them to improve their technical and interpersonal skills while serving the community. His Building Adult Skills in Computing (BASIC) program pairs students with digitally marginalized residents of the local community, helping them build competence and confidence. In Copper Country Coders, students design and lead classes in computer science and programming for middle and high school students in the community.
For his efforts in both the classroom and the community, Dr. Wallace has received additional national recognition, including presenting at a White House Conference on Aging, the U.S. House of Representatives Subcommittee on Commerce, Manufacturing, and Trade, and the National Academy of Sciences.
Brad Wallar, Professor of Chemistry, Grand Valley State University
Dr. Wallar has been a member of the GVSU faculty since 2003. He earned his bachelors degree in biology at the University of Michigan-Flint and his doctorate in biochemistry at the University of Minnesota.
Dr. Wallar is a dedicated mentor, serving as a faculty mentor for 16 Honors College projects, five Goldwater Scholarship applicants, 11 Student Summer Scholars, two Modified Student Summer Scholars, a Beckman Scholar, three McNair Scholars and five RISE Scholars. Hes committed to understanding each persons background, strengths, and growth areas, and is passionate about offering opportunities to students who might not have found their way into a research lab before. As a first-generation college graduate himself, he credits his own mentorship experience with faculty for finding a career he loves and hopes to instill the same confidence in his students as his professors did with him.
In his 21 years at GVSU, Dr. Wallar has taught 2,000 students, advised hundreds of undergraduate students, obtained multiple National Institute of Health and National Science Foundation grants, and developed a nationally recognized research laboratory with undergraduate students. Hes received multiple awards including the TRIO Impact Award, the CLAS Lifetime Service Award, the Distinguished Undergraduate Mentoring Award, and the University Outstanding Teacher Award. Dr. Wallar has published 17 peer-reviewed articles with 20 undergraduate co-authors and has presented 28 posters at national and international meetings with 24 undergraduates, and 77 posters at regional and local conferences with 46 students.
Throughout his courses, Dr. Wallar uses real life examples to connect course content to cutting edge concepts from COVID, cancer and antibiotic resistance. His most valuable contribution to individual work in curriculum development is in the biochemistry lab. His class, CHM 462: Techniques in Biochemistry, is not a typical science lab course, as its been designed to mimic a research lab more typically found in industry or graduate school, allowing students to perform important biochemistry techniques. Students have appreciated the immersive experience hes developed.
The other nominees for the Distinguished Professor of the Year Award were: Jodonnis Rodriguez, Eastern Michigan University; Joshua Pardon, Ferris State University; Robert Kipka, Lake Superior State University; Divya Victor, Michigan State University; Jessica Thompson, Northern Michigan University; Warren Fincher, Saginaw Valley State University; Pinderjeet Gill, University of Michigan; Amanda Esquivel, University of Michigan-Dearborn; C. Dennis Simpson, Western Michigan University, and Regina Zubick, Wayne State University.
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Computer science student creates new tool to make AI-generated art more sustainable | ASU News – ASU News Now
Tech experts say that users produce more than34 million images per dayusing artificial intelligence, or AI, tools such asMidjourneyandDALL-E 2. The results are often inventive and astonishing.
While people might find making AI-generated art a relaxing, creative outlet, these images come at a cost. Server farms, giant data centers full of computers, will consume more energy each year processing AI art thanthe entire country of Argentina. In 2023, Google used5.6 billion gallons of waterjust cooling its servers.
The challenge of how to make these artistic tools available to those who want to use them while keeping an eye on sustainability is a problem that computer science doctoral student Maitreya Patel is keen to solve.
Patel has been working under the supervision ofYezhou YZ Yang, an associate professor of computer science and engineering in theSchool of Computing and Augmented Intelligence, part of theIra A. Fulton Schools of Engineeringat Arizona State University. Yang heads theActive Perception Group, a lab that studies computer vision and image generative AI.
Yang oversees several projects funded by grants from theNational Science Foundationdedicated to researching computer visual recognition tools. Some of the novel work being done there seeks to make a system that can create an image, check out what it has produced and learn from the comparison. The computer might draw a dog, scan the image, ask itself if the picture looks like a dog and then update its programming based on the results.
As part of his doctoral research, Patel has createdEclipse, a resource-efficient tool that takes in text prompts and then produces images. He made a demonstration website where a user can type in a short description of what they would like to see, and the AI tool will generate a picture.
The work deals with the central problem of training a model.
Today, most AI solutions have been created by feeding large sets of data into networks of computers and training models tweaking the algorithms, or sets of instructions, that the computers use to do their work. The software engineer supplies a computer with thousands of pictures of dogs and then tasks it with generating its own dog images.
But Patel and Yang believe there are better ways of harnessing the power of AI than simply using more and more computers to process more and more data.
We have created a new model pipeline, Patel says. Our model will use a small number of processing units, and it can be trained in one to two days.
The teams work is concerned with three basic issues: creating an image-generating model that requires less time and computational resources to train; producing a good open-source system that can be reused; and, finally, making software that users can train exclusively with their own images.
To make a more efficient image-generation model, they have a few new ideas. One is using a training strategy called contrastive learning, or teaching the computer what information is not relevant to get the right result.
Patel and Yang are also using adversarial training, a programming technique that deliberately attacks the image model and tries to get it to fail.
The advantage to this type of training is that we can discover the shortcomings of the current model, deal with its disadvantages and improve the system based on attacking the results, Yang says.
Patel and Yang are concerned about matters of privacy and ethics. Many AI image tools arerife with controversyabout the provenance of the art that was used to train their models.
The Eclipse team which also includes computer science doctoral students Sheng Cheng and Sangmin Jung, computer engineering doctoral student Changhoon Kim and Chitta Baral, a professor of computer science and engineering, who is serving in an advising role has a plan that could enable businesses to deploy their own versions of the Eclipse model and train it using only images owned by that enterprise. Concerns about lawsuits or image sources would be eliminated.
These are ideas that are interesting to artists working in the AI space.Erika Gronek, a Fulton Schools photographer, has used AI art tools and even written a book on AI art called "Uncanny: AI Speaks for Itself."
AI isnt going away, Gronek says. It has its critics, and rightly so, but it can also be viewed as another tool in the toolbox for an artist. At the very least, it should be wielded ethically by using proper datasets and sustainably because it can require such immense computing power.
In June, Yang and the research team will present their work at the prestigiousIEEE/CVF Conference on Computer Vision and Pattern Recognitionin Seattle. They are also on the lookout for enterprise partners who might want to back further development of their technology.
Were trying to figure out the sweet spot where vision and language meet to make critical improvements to the efficiencies of these models, Yang says.
He also hopes the project will inspire more doctoral and masters thesis students like Patel.
Exciting work in AI is being done here at the School of Computing and Augmented Intelligence, Yang says. We want to attract and inspire new doctoral and masters thesis students, help them develop professionally and showcase their efforts.
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A Full-Resolution Display of Talent: UVA Hosts Women-in-Computing Event – UVA Engineering
Talent and diversity were on full display this weekend as the University of Virginia School of Engineering hosted CAPWIC the Capital Regional Celebration of Women in Computing.
Close to 250 attendees from all over the region gathered to present their work and learn from other women, including mentors who shared their secrets for building successful careers. The annual event is organized through the Association of Computer Machinery, the worlds largest educational scientific computing society.
Nada Basit and Robbie Hott, two UVA computer science professors who served as event co-organizers, helped ensure that the meet would come to UVA this year its first time hosting.
Were very proud to bring CAPWIC to our students and this area of Virginia; its exciting, Basit said. With significantly more women incomputer science at UVA than nationwide, she said, Representation matters.
UVA professors Briana Morrison, Angela Orebaugh, Daniel Graham and Upsorn Praphamontripong were also involved in this years organizing.
On Friday night, Morrison moderated the first keynote, a panel comprised of members ofCharlottesville Women in Tech. They spoke about how women can find their community as emerging professionals.
Senior research scientist Eileen Krepkovich of Barron Associates, Tech-Girls founder Kim Wilkens and Shenandoah Telecommunications Co. CIO Elaine Cheng provided the lively discussion.
On Saturday, Melanie Frank, a 1996 B.S. graduate of UVA Engineerings aerospace program, shared in a second keynote how her dream to become an astronaut led her to her current job, as vice president of technology for Capitol One.
Dean Jennifer L. West provided opening remarks.
Later that morning, Stephanie Lewandowski, senior director of product delivery at Charlottesville-based software engineering firm WillowTree, spoke about "Leading GenAI Product Delivery." The workshop covered various aspects of artificial intelligence and machine learning.
UVA graduate students throughout the day provided updates on how their research is furthering technology. Among the presenters:
Benazir said she chose UVA foremost because its a great school.
She added, I liked my current professor's research area, which is at the intersection of systems and machine learning.
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A Full-Resolution Display of Talent: UVA Hosts Women-in-Computing Event - UVA Engineering
Associate Professor of the Practice, Computer Science job with Boston University Metropolitan College | 37636253 – The Chronicle of Higher Education
Boston Universitys Metropolitan College seeks a dynamic and creative faculty member with expertise in data analytics or software development to join its nationally recognized Department of Computer Science (http://www.bu.edu/csmet/) at the rank of Associate Professor of the Practice starting July or September 1, 2024.
The Department is a leader in providing rigorous and industry-relevant education in areas such as information security, computer networks, computer information systems, financial informatics, digital forensics, and health informatics. Courses are offered in flexible face-to-face, blended and online formats. It offers the acclaimed Boston University online Master in Computer Information Systems program, consistently ranked in the top ten best online IT programs by US News & World Report for ten years. The department believes that the cultural and social diversity of our faculty, staff, and students is vitally important to the distinction and excellence of our research and academic programs. To that end, we are especially eager to have colleagues join our ranks who support our institutional commitment to ensuring BU is inclusive, equitable, and diverse.
Qualifications: The ideal candidate should hold a Ph.D. or equivalent degree in Computer Science or a related field, and have a demonstrated successful teaching and research record. We welcome applications from candidates with a terminal degree who have extensive professional and industry experience as well as an interest in teaching and applied research.
Responsibilities: Faculty duties include teaching up to six courses at the graduate and undergraduate levels per academic year, including blended and online courses, conducting active research, participating in course and curriculum development, and mentoring part-time faculty and students, as well as providing service to the department, college and the university. This is a full-time, non-tenure track appointment at the rank of Associate Professor of the Practice with renewable contracts of up to five years.
The faculty position offers significant opportunity for interdisciplinary and collaborative scholarly work, including research and curriculum development within Metropolitan College and Boston University, as well as the greater Boston area.
Salary: Commensurate with experience.
Application: Applicants should submit a cover letter stating career objectives, suitability for the position, research goals, and approach to teaching, as well as a curriculum vitae, and three letters of reference through the link below. Candidates who, within their application materials, substantively address their experiences, strengths, and opportunities for growth regarding diversity, inclusivity, and full participation at Boston University will receive the highest priority and consideration. Applications will be reviewed as received until the position is filled.
Please submit applications through this link: https://www.bu.edu/met/faculty-staff/forms/full-time-faculty-applications/
Department Contact:
Ms. Lyn Ariyakulkan
Boston University Metropolitan College
1010 Commonwealth Avenue, Floor 5
Boston, MA 02215
BU conducts a background check on all final candidates for certain faculty and staff positions. The background check includes contacting the final candidates current and previous employer(s) to ask whether, in the last seven years, there has been a substantiated finding of misconduct violating that employers applicable sexual misconduct policies. To implement this process, the University requires a final candidate to complete and sign the form entitled Authorization to Release Information after execution of an offer letter.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. We are a VEVRAA Federal Contractor.
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