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Mosquito watch: USF researchers urge use of global dashboard in … – University of South Florida

By: Cassidy Delamarter, University Communications and Marketing

Researchers at the University of South Florida are urging the public to take photos of mosquitoes and share them to help track and mitigate the potential spread of malaria. The Florida Department of Health has issued a statewide mosquito-borne illness advisory after four confirmed cases of malaria in Sarasota County. An additional case has also been reported in Texas.

Ryan Carney, assistant professor of integrative biology, and Sriram Chellappan, professor of computer science and engineering, developed mosquitodashboard.org, which utilizes data provided by ordinary citizens and artificial intelligence to identify the location and species of disease-carrying mosquitoes.

Funded in part by the National Science Foundation, the public dashboard serves as an aggregation of data from multiple smartphone apps, including NASAs GLOBE Observer, iNaturalist and Mosquito Alert, where people are encouraged to be citizen scientists and upload photos of any mosquitoes that they find. The data from each app is displayed on the dashboard, which features an interactive map that allows users to analyze mosquitoes near them and around the world.

It would be phenomenal for citizen scientists in Sarasota County and beyond to download and use our partner apps, Carney said. Citizen scientists with smartphones can serve as extra sets of eyes to help monitor these malaria mosquitoes, in locations and at a scale otherwise impossible via traditional mosquito trapping methods. Importantly, by contributing valuable data on exactly where these malaria mosquitoes are found in their community, everyday citizens can help guide local mosquito surveillance and control programs."

By leveraging the photos uploaded, the team has gathered more than a half million images, allowing their artificial intelligence algorithm to better identify mosquitoes in the adult and larval stage a critical element to mitigating mosquito-borne diseases. By identifying the species of mosquito, the team can determine its potential for carrying diseases and alert local authorities.

"Advances in artificial intelligence algorithms yield novel technologies for accurate, fast and large-scale surveillance of malaria-spreading mosquitoes, Chellappan said. The impact of these technologies is significantly amplified when fueled by data from the general public, the consequence of which greatly strengthens our fight against malaria.

These technologies have proven successful locally and globally. In Tampa Bay, the team recently examined the abundance and ecological drivers of Aedes aegypti, a mosquito that carries dengue, yellow fever and Zika. They hope their study will serve as a framework for leveraging mosquito abundance data to inform habitat models and local control efforts. With that, the team will further examine the abundance of mosquitoes capable of transmitting malaria in Florida and Texas.

Ultimately, the strategy is to further deploy our arsenal of next-generation digital technologies to enable more accurate and precise surveillance and control of mosquitoes carrying deadly diseases in Florida and beyond, Carney said.

Carney and Chelleppan are working to obtain additional funding to make the technology even more accessible around the globe.

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A quantum forest grows in New Haven – Yale News

On a foggy, Friday night recently, with old hip hop songs filling the air and hundreds of happy people taking in the International Festival of Arts & Ideas, a small quantum forest sprouted up on the New Haven Green.

Dozens of illuminated beacons, each one 6-feet tall, were spread out in rows, not far from the festivals main stage. As people walked, danced, and posed for selfies among them, the beacons lit up in blue, green, red, or white.

Can you tell us how this works? asked Edward Sullivan, as he and Yvonne Benjamin, both of Shelton, Connecticut, approached Florian Carle, the official tour guide for this mini maze.

What do you know about quantum physics? asked Carle, who, in his day job, is manager of the Yale Quantum Institute (YQI).

As Carle explained it, what looked like a random light show was, in fact, the orchestration of a sophisticated quantum computing technology that has taken years to develop technology that may someday change daily life.

More specifically, the site-specific exhibit, called Beneath the Green, the Quantum and created by artist Stewart Smith during his year-long residency at YQI, employs Yales latest research into quantum error correction, a concept in quantum computing research that is one of the biggest remaining hurdles in creating full-scale quantum computers that perform calculations an order of magnitude faster than traditional computers.

Quantum computers store information as data in the form of quantum bits known as qubits that are notoriously finnicky and susceptible to errors. Researchers are attempting to correct these errors with additional, stabilizer qubits that are interspersed with the data qubits. Earlier this year, Yale researchers were able to more than double the lifetime of a qubit, effectively showing that quantum error correction is a practical tool for building quantum computers.

For this piece, I knew I wanted to work with light and I knew I wanted something that would be meaningful for the faculty and students, said Smith, a graphic designer who earned his MFA in graphic design from Yale in 2008. Right now, there are faculty and students here who are working on algorithms to correct qubit errors they are at the forefront of their field.

After consulting with YQI researchers, Smith worked with Carle and computer science graduate student Yue Wu to create the conceptual themes and software for the art installation. Alpay Kasal and his experiential design company Bignoodle in San Francisco created the custom hardware.

The beacons use proximity sensors and custom-built software that runs in a Web browser to allow spectators to become active participants. The movement of each participant through the art installation creates a simulation of quantum errors. The correction software goes to work correcting these errors, causing the beacons to change color.

A red light indicates an error has been located; a blue light indicates the error has been resolved. Green and purple lights signal that errors are overwhelming the system.

YQI likely will recreate the installation in the fall, on campus, Carle said.

For now, at the Green, YQIs quantum forest quickly attracted scientists and non-scientists alike.

This is, by far, the most ambitious science outreach idea weve done, said A. Douglas Stone, the Carl A. Morse Professor of Applied Physics and Physics, and YQIs deputy director, as he surveyed the scene. It has real complexity to it.

But not too complex for festivalgoers Sullivan and Benjamin, who happily danced their way through the lights after getting their tutorial.

It was very interesting, especially after getting an explanation about how it works, Sullivan said. We didnt get it at first, until we walked away from the first light, and it turned blue.

This definitely helped connect the dots, Benjamin said.

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New tool explains how AI ‘sees’ images and why it might mistake an … – Brown University

PROVIDENCE, R.I. [Brown University] Why is it that artificial intelligence systems can outperform humans on some visual tasks, like facial recognition, but make egregious errors on others such as classifying an image of an astronaut as a shovel?

Like the human brain, AI systems rely on strategies for processing and classifying images. And like the human brain, little is known about the precise nature of those processes. Scientists at Brown Universitys Carney Institute for Brain Science are making strides in understanding both systems, publishing a recent paper that helps to explain computer vision in a way the researchers say is accessible as well as more useful than previous models.

Both the human brain and the deep neural networks that power AI systems are referred to as black boxes because we dont know exactly what goes on inside, said Thomas Serre, a Brown professor of cognitive, linguistic and psychological sciences and computer science. The work that we do at Carneys Center for Computational Brain Science is trying to understand and characterize brain mechanisms related to learning, vision, and all kinds of things, and highlighting the similarities and differences with AI systems.

Deep neural networks use learning algorithms to process images, Serre said. They are trained on massive sets of data, such as ImageNet, which has over a million images culled from the web organized into thousands of object categories. The training mainly involves feeding data to the AI system, he explained.

We don't tell AI systems how to process images for example, what information to extract from the images to be able to classify them, Serre said. The AI system discovers its own strategy. Then computer scientists evaluate the accuracy of what they do after theyve been trained for example, maybe the system achieves 90% accuracy on discriminating between a thousand image categories.

Serre collaborated with Brown Ph.D. candidate Thomas Fel and other computer scientists to develop a tool that allows users to pry open the lid of the black box of deep neural networks and illuminate what types of strategies AI systems use to process images. The project, called CRAFT for Concept Recursive Activation FacTorization for Explainability was a joint project with the Artificial and Natural Intelligence Toulouse Institute, where Fel is currently based. It was presented this month at theIEEE/CVF Conference on Computer Vision and Pattern Recognition in Vancouver, Canada.

Serre shared how CRAFT reveals how AI sees images and explained the crucial importance of understanding how the computer vision system differs from the human one.

CRAFT provides an interpretation of the complex and high-dimensional visual representations of objects learned by neural networks, leveraging modern machine learning tools to make them more understandable to humans. This leads to a representation of the key visual concepts used by neural networks to classify objects. As an example, lets think about a type of freshwater fish called a tench. We built a website that allows people to browse and visualize these concepts. Using the website, one can see that AI systems concept of a tench includes sets of fish fins, heads, tails, eyeballs and more.

These concepts also reveal that deep networks sometimes pick up on biases in datasets. One of the concepts associated with the tench, for example, is the face of a white male, because there are many photos online of sports fishermen holding fish that look like tench. (Yet the system can still distinguish a man from a fish.) In another example, the predominant concept associated with a soccer ball in neural networks is the presence of soccer players on the field. This is likely because the majority of internet images featuring soccer balls also include individual players rather than solely the ball itself.

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Professor AI: Harvard is planning to deploy ChatGPT-like bot as instructor in Computer Science – Firstpost

Harvard University is planning to deploy a ChatGPT-like AI bot as an instructor in one of its Computer Science courses. Human professors of the course say the aim is to achieve a teacher-to-student ratio of 1:1 in Harvard's CS50, one of its most popular courses, using AI

After taking away jobs in the IT industry, journalism and content creation, the rise of artificial intelligence is now posing a threat to the teaching profession, particularly in the field of coding.

Harvard University is at the forefront of incorporating AI into its coding program, as it plans to introduce an AI chatbot similar to ChatGPT as an instructor in its renowned Computer Science 50 course.

Making an AI-based instructorThe human instructors of the programme propose developing the AI teacher using OpenAIs advanced GPT 3.5 or GPT 4 models, showcasing Harvards dedication to utilizing cutting-edge AI technology for educational purposes. The program is set to commence in September, and enrolled students will be encouraged to utilize this AI tool.

According to CS50 professor David Malan, the aim is to achieve a teacher-to-student ratio of 1:1 in CS50 by leveraging AI. The AI chatbot will provide students with software-based tools that can support their learning around the clock, accommodating their individual preferences and pace.

This personalised support has been challenging to deliver on a large scale through platforms like edX and OpenCourseWare, making these features beneficial for both on-campus and remote students.

AIs rising popularityThe introduction of the AI chatbot instructor aligns with the current surge in popularity of AI tools. OpenAIs ChatGPT, launched in November 2022, has quickly become the fastest-growing app ever, attracting a staggering 100 million active users within just two months. Users are drawn to its versatile functionality, which includes generating code, composing poetry, and writing essays.

However, concerns regarding the accuracy and potential hallucinations of AI persist, as acknowledged even by Google. The tech giant recently cautioned users that its AI-powered Bard may not always provide correct information.

AI has its pitfalls, but also limitless potential Professor Malan acknowledges these limitations and stresses the importance of critical thinking for students when encountering AI-generated content. He emphasizes that students must exercise their own judgment when evaluating information.

Nevertheless, he remains optimistic about the future of these tools and highlights the value of feedback from both students and teachers in refining AIs capabilities. Active participation from educators and students will contribute to the ongoing improvement of this technology.

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Updated Date: June 29, 2023 12:57:44 IST

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Governor Newsom Announces Appointments 6.28.23 | California … – Office of Governor Gavin Newsom

SACRAMENTO Governor Gavin Newsom today announced the following appointments:

Ilkay Altintas, of San Diego, has been appointed to the Wildfire Technology Research and Development Review Advisory Board. Altintas has been a Research Scientist at the University of California, San Diego since 2001. She has been Division Director of Cyberinfrastructure and Convergence Research and Education at the San Diego Supercomputer Center since 2021, where she has held several positions since 2014, including Chief of Staff, Director, Division Director and Deputy Coordinator. Altintas earned a Doctor of Philosophy degree in Computational Science from the University of Amsterdam and a Master of Science degree in Computer Engineering from Middle East Technical University. This position does not require Senate confirmation and there is no compensation. Altintas is registered without party preference.

Kristi Pawlowski, of Mather, has been appointed to the Veterinary Medical Board. Pawlowski has been Chief Insight Director for the Insight Veterinary Wellness Center since 2020. She has been Executive Director at the Sacramento Valley Veterinary Medical Association since 1991. She was Owner and Hospital Manager of Banfield Pet Hospital of Lincoln from 2007 to 2016 and of Banfield Pet Hospital of Folsom from 2002 to 2016. Pawlowski earned a Bachelor of Science degree in Human Resources and Organizational Behavior from California State University, Sacramento. This position does not require Senate confirmation and the compensation is $100 per diem. Pawlowski is a Democrat.

Nick Boyd, of El Cajon, has been appointed to the State Board of Behavioral Sciences. Boyd has been Director of Clinical Training for Counseling and Lead Licensed Professional Clinical Counselor at VA San Diego Health Care since 2020. He has been a Staff Therapist for the Cognitive Therapy Institute since 2019. He was a Study Therapist for VA San Diego Health Care from 2018 to 2020, a Consultant for the eScreening program there from 2017 to 2022 and an Assessment Therapist there from 2017 to 2018. He was a Psychological Health Consultant at the Naval Center for Combat and Operational Stress Control at Leidos from 2015 to 2016. He was a Resiliency Trainer at the UCLA Semel Institute for Neuroscience and Human Behavior from 2016 to 2017 and a Sex Offender Treatment Specialist at the Counseling and Psychotherapy Center from 2014 to 2016. He was Founder, Clinical Director and Lead Therapist at e3 Civic High from 2014 to 2015. He was a Clinical Counseling Trainee at North County Lifeline from 2013 to 2014 and a Clinical Counseling Trainee at Springall Academy from 2012 to 2013. Boyd is a member of the American Counseling Association, American Mental Health Counselors Association, California Association for Licensed Professional Clinical Counselors, International Society for Traumatic Stress Studies, American Academy of Experts in Traumatic Stress, American Psychological Association and the American Academy on the Advancement of Science. Boyd earned a Bachelor of Science degree in Criminology and Criminal Justice from Portland State University, a Master of Arts degree in Clinical Mental Health Counseling from the University of San Diego and a Doctor of Philosophy degree in Counseling Education and Supervision from the University of the Cumberlands. This position requires Senate confirmation and the compensation is $100 per diem. Boyd is a Democrat.

Devon Glazer, of Laguna Niguel, has been appointed to the Podiatric Medical Board of California. Glazer has been CEO and Podiatrist at Artisan Foot and Ankle Specialist since 2009. Glazer is a member of the California Podiatric Medical Association, American Podiatric Medical Association and the American College of Foot and Ankle Surgeons. Glazer earned a Bachelor of Science degree in Biology from the University of North Texas and a Doctor of Podiatric Medicine degree from the New York College of Podiatric Medicine. This position does not require Senate confirmation and the compensation is $100 per diem. Glazer is registered without party preference.

Sumer Patel, of Santa Clara, has been appointed to the Podiatric Medical Board of California. Patel has been Chair of Foot and Ankle Surgery Chiefs at the Permanente Medical Group since 2016. He has been Assistant Physician in Chief at the Kaiser Permanente Santa Clara Medical Center since 2022 and Physician Operating Room Director there since 2013. He has been a Foot and Ankle Surgeon at the Kaiser Permanente Santa Clara Medical Center since 2000. Patel is a member of the American College of Foot & Ankle Surgeons. Patel earned a Bachelor of Science degree in Biology from Florida State University and a Doctor of Podiatric Medicine degree from the California College of Podiatric Medicine. This position does not require Senate confirmation and the compensation is $100 per diem. Patel is a Democrat.

Anita Battle, of Alameda, has been appointed to the Bureau of Security and Investigative Services Private Security Disciplinary Review Committee, Northern California. Battle has been Senior Manager of Equity Programs at Equinox since 2020 and Senior Enablement Manager there since 2018. She was a Manager of Sales Training & Enablement at Visa CyberSource from 2017 to 2018 and a Strategic Relationships Manager at HireRight in 2015. She was a Senior Managerial Consultant of Sales & Account Management Strategy Execution for Kaiser Permanente from 2011 to 2014. Battle was a Senior Business Consultant on Information Technology for Kaiser Permanente from 2011 to 2014. She was a Senior Enterprise Sales Manager at Verizon from 1994 to 2011 and held several positions there from 1982 to 1994. Battle earned a Bachelor of Arts degree in Political Science from Loyola Marymount University. This position does not require Senate confirmation and the compensation is $100 per diem. Battle is a Democrat.

Donald Kuehner, of Santa Clarita, has been appointed to the Bureau of Security and Investigative Services Private Security Disciplinary Review Committee, Southern California. Kuehner has been Institution Director at Pacific West Academy since 2018. He has been an Executive Protection Agent for Advanced Security Concepts Inc. since 2012. He was a Sales Associate at Bullet Barn Guns from 2014 to 2016. Kuehner served in the U.S. Army from 2004 to 2012 and was honorably discharged at the rank of Staff Sergeant. Kuehner earned a Bachelor of Arts degree in Operations and Supply Chain Management from California State University, Fullerton. This position does not require Senate confirmation and the compensation is $100 per diem. Kuehner is registered without party preference.

Claudia Sandino, of Lake Forest, has been appointed to the Board of Chiropractic Examiners. Sandino has been a Health and Safety Operations Manager for the Walt Disney Company since 2021 and was a Health and Safety Manager for the company from 2020 to 2021. She was a Production Payroll Accountant for ABC, FOX. Entertainment One and 4D Printing Inc. from 2018 to 2020. She was Director at Brain Balance Achievement Centers from 2013 to 2016. She earned a Bachelor of Arts degree in Economics from the University of California, Los Angeles, a Master of Science degree in Clinical Neuroscience from the Carrick Institute and a Doctor of Chiropractic degree from Life Chiropractic College West. This position does not require Senate confirmation and the compensation is $100 per diem. Sandino is a Republican.

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Researchers teach an AI to write better chart captions – EurekAlert

Chart captions that explain complex trends and patterns are important for improving a readers ability to comprehend and retain the data being presented. And for people with visual disabilities, the information in a caption often provides their only means of understanding the chart.

But writing effective, detailed captions is a labor-intensive process. While autocaptioning techniques can alleviate this burden, they often struggle to describe cognitive features that provide additional context.

To help people author high-quality chart captions, MIT researchers have developed a dataset to improve automatic captioning systems. Using this tool, researchers could teach a machine-learning model to vary the level of complexity and type of content included in a chart caption based on the needs of users.

The MIT researchers found that machine-learning models trained for autocaptioning with their dataset consistently generated captions that were precise, semantically rich, and described data trends and complex patterns. Quantitative and qualitative analyses revealed that their models captioned charts more effectively than other autocaptioning systems.

The teams goal is to provide the dataset, called VisText, as a tool researchers can use as they work on the thorny problem of chart autocaptioning. These automatic systems could help provide captions for uncaptioned online charts and improve accessibility for people with visual disabilities, says co-lead author Angie Boggust, a graduate student in electrical engineering and computer science at MIT and member of the Visualization Group in the Computer Science and Artificial Intelligence Laboratory (CSAIL).

Weve tried to embed a lot of human values into our dataset so that when we and other researchers are building automatic chart-captioning systems, we dont end up with models that arent what people want or need, she says.

Boggust is joined on thepaperby co-lead author and fellow graduate student Benny J. Tang and senior author Arvind Satyanarayan, associate professor of computer science at MIT who leads the Visualization Group in CSAIL. The research will be presented at the Annual Meeting of the Association for Computational Linguistics.

Human-centered analysis

The researchers were inspired to develop VisText fromprior workin the Visualization Group that explored what makes a good chart caption. In that study, researchers found that sighted users and blind or low-vision users had different preferences for the complexity of semantic content in a caption.

The group wanted to bring that human-centered analysis into autocaptioning research. To do that, they developed VisText, a dataset of charts and associated captions that could be used to train machine-learning models to generate accurate, semantically rich, customizable captions.

Developing effective autocaptioning systems is no easy task. Existing machine-learning methods often try to caption charts the way they would an image, but people and models interpret natural images differently from how we read charts. Other techniques skip the visual content entirely and caption a chart using its underlying data table. However, such data tables are often not available after charts are published.

Given the shortfalls of using images and data tables, VisText also represents charts as scene graphs. Scene graphs, which can be extracted from a chart image, contain all the chart data but also include additional image context.

A scene graph is like the best of both worlds it contains almost all the information present in an image while being easier to extract from images than data tables. As its also text, we can leverage advances in modern large language models for captioning, Tang explains.

They compiled a dataset that contains more than 12,000 charts each represented as a data table, image, and scene graph as well as associated captions. Each chart has two separate captions: a low-level caption that describes the charts construction (like its axis ranges) and a higher-level caption that describes statistics, relationships in the data, and complex trends.

The researchers generated low-level captions using an automated system and crowdsourced higher-level captions from human workers.

Our captions were informed by two key pieces of prior research: existing guidelines onaccessible descriptions of visual mediaand a conceptual model from our group forcategorizing semantic content. This ensured that our captions featured important low-level chart elements like axes, scales, and units for readers with visual disabilities, while retaining human variability in how captions can be written, says Tang.

Translating charts

Once they had gathered chart images and captions, the researchers used VisText to train five machine-learning models for autocaptioning. They wanted to see how each representation image, data table, and scene graph and combinations of the representations affected the quality of the caption.

You can think about a chart captioning model like a model for language translation. But instead of saying, translate this German text to English, we are saying translate this chart language to English, Boggust says.

Their results showed that models trained with scene graphs performed as well or better than those trained using data tables. Since scene graphs are easier to extract from existing charts, the researchers argue that they might be a more useful representation.

They also trained models with low-level and high-level captions separately. This technique, known as semantic prefix tuning, enabled them to teach the model to vary the complexity of the captions content.

In addition, they conducted a qualitative examination of captions produced by their best-performing method and categorized six types of common errors. For instance, a directional error occurs if a model says a trend is decreasing when it is actually increasing.

This fine-grained, robust qualitative evaluation was important for understanding how the model was making its errors. For example, using quantitative methods, a directional error might incur the same penalty as a repetition error, where the model repeats the same word or phrase. But a directional error could be more misleading to a user than a repetition error. The qualitative analysis helped them understand these types of subtleties, Boggust says.

These sorts of errors also expose limitations of current models and raise ethical considerations that researchers must consider as they work to develop autocaptioning systems, she adds.

Generative machine-learning models, such as those that power ChatGPT, have been shown to hallucinate or give incorrect information that can be misleading. While there is a clear benefit to using these models for autocaptioning existing charts, it could lead to the spread of misinformation if charts are captioned incorrectly.

Maybe this means that we dont just caption everything in sight with AI. Instead, perhaps we provide these autocaptioning systems as authorship tools for people to edit. It is important to think about these ethical implications throughout the research process, not just at the end when we have a model to deploy, she says.

Boggust, Tang, and their colleagues want to continue optimizing the models to reduce some common errors. They also want to expand the VisText dataset to include more charts, and more complex charts, such as those with stacked bars or multiple lines. And they would also like to gain insights into what these autocaptioning models are actually learning about chart data.

This research was supported, in part, by a Google Research Scholar Award, the National Science Foundation, the MLA@CSAIL Initiative, and the United States Air Force Research Laboratory.

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Written byAdam Zewe

Paper: VisText: A Benchmark for Semantically Rich Chart Captioning

https://vis.mit.edu/pubs/vistext.pdf

VisText: A Benchmark for Semantically Rich Chart Captioning

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93 Aggies Named to Spring SEC Academic Honor Roll – Texas A&M Athletics

Story Links BIRMINGHAM, Ala. Texas A&M was represented by 93 student-athletes on the 2023 Spring SEC Academic Honor Roll, announced by SEC commissioner Greg Sankey on Thursday.The 2023 Spring SEC Academic Honor Roll includes student-athletes from eight different sports. The Aggies have totaled 90-or-more student-athletes on the spring honor roll for the fourth-consecutive year."It is an honor for the Center for Student-Athlete Services to continue working with our student-athletes who remain committed to academic excellence," Associate Athletics Director of Academic Services Dr. Dan Childs said.Men's track & field boasted the most student-athletes of all Texas A&M spring sports with 28, while women's track & field was second with 25.The following criteria was followed:(1) A student-athlete must have a grade point average of 3.00 or above for either the preceding academic year (two semesters or three quarters) or have a cumulative grade point average of 3.00 or above at the nominating institution.(2) If a student-athlete attends summer school, his/her grade point average during the summer academic term must be included in the calculation used to determine eligibility for the Academic Honor Roll.(3) Student-athletes eligible for the Honor Roll include those receiving an athletics scholarship, recipients of an athletics award (i.e., letter winner), and non-scholarship student-athletes who have been on a varsity team for two seasons.(4) Prior to being nominated, a student-athlete must have successfully completed 24 semester or 36 quarter hours of non-remedial academic credit toward a baccalaureate degree at the nominating institution.(5) The student-athlete must have been a member of a varsity team for the sport's entire NCAA Championship segment.Texas A&M Spring SEC Academic Honor RollBaseball (11)Nathan Dettmer KinesiologyRobert Hogan Sport ManagementWilliam Johnston FinanceBrett Minnich Sport ManagementJack Moss FinanceRyan Prager FinanceBradley Rudis Agricultural Leadership & DevelopmentRyan Targac KinesiologyJordan Thompson University Studies LeadershipMatt Tucker Sport ManagementTrevor Werner Sport ManagementMen's Golf (6)Matthew Denton FinanceJohn Heidelbaugh FinancePhichaksn Maichon Sport ManagementEvan Myers MarketingWilliam Paysse Sport ManagementVishnu Sadagopan Business HonorsWomen's Golf (6)Lana Calibuso-Kwee Business AdministrationHailee Cooper Sport ManagementBlanca Fernndez Garca-Poggio CommunicationLauren Nguyen Allied HealthJennie Park CommunicationZoe Slaughter PsychologySoftball (5)Shaylee Ackerman Public HealthTrinity Cannon AccountingMorgan Smith Biomedical SciencesGrace Uribe PsychologyRylen Wiggins Sport ManagementMen's Tennis (8)Luke Casper MarketingGuido Marson AccountingGiulio Perego Sport ManagementPierce Rollins ManagementMatthis Liblanc Ross Sport ManagementNoah Schachter Sport ManagementStefan Storch Sport ManagementWilliam Taylor Business HonorsWomen's Tennis (4)Jayci Goldsmith Human Resource DevelopmentKayal Gownder Biomedical EngineeringElise Robbins Allied HealthMary Stoiana Sport ManagementMen's Track & Field (28)Joseph Benn Agricultural Communications & JournalismCooper Cawthra University Studies BusinessAllon Clay FinanceKirk Collins Recreation, Parks & Tourism ScienceColton Colonna Materials Science & EngineeringZachary Davis Management Information SystemsOmajuwa Etiwe PsychologyBryce Foster Sport ManagementSamuel Hankins Sport ManagementHunter Harrison Agricultural Leadership & DevelopmentGavin Hoffpauir Entrepreneurial LeadershipJoseph Hohne Construction ScienceSiddharth Jayaraman Chemical EngineeringPatrick Johnson Advanced International AffairsFelipe Medrado ManagementCaleb Murdock FinanceCaden Norris NutritionAlessio Pirruccio BiologySam Presnal FinanceTheodore Radtke Mechanical EngineeringChristian Rosales Construction ScienceConnor Schulman University Studies BusinessAshton Schwartzman Sport ManagementRobert Whitmarsh Materials Science & EngineeringIshmel Williams KinesiologyCutler Zamzow Animal ScienceAndrew Zapata Construction ScienceVictor Zuniga Recreation, Parks & Tourism ScienceWomen's Track & Field (25)Heather Abadie KinesiologyJulia Abell Hospitality ManagementAllyson Andress EducationKatelyn Buckley EducationNicole Chastain KinesiologyLianna Davidson MarketingVictoria De La Garza Animal ScienceLamara Distin Sport ManagementJacie Droddy Allied HealthEmma Ellis Biomedical SciencesKatelyn Fairchild KinesiologyLaura Fairchild Construction ScienceGemma Goddard Computer ScienceBailey Goggans Biomedical SciencesMegan Hopper Animal ScienceMaci Irons KinesiologySemira Killebrew University Studies Race Gender & EthnicityPaige Lemonia EconomicsMadeline Livingston AccountingDeirdre Nelsen Biomedical EngineeringGrace Plain NutritionMikenna Robinson SociologyMary Rodriguez Allied HealthAbbey Santoro Sport ManagementKennedy Wade Industrial Engineering

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Hawai’i Spring Sports Earns 65 Big West All-Academic Awards … – University of Hawaii Athletics

Story Links HONOLULU Sixty-five University of Hawai'i student-athletes earned Academic All-Big West honors for the spring sports during the 2023 season. The sports included are baseball, beach volleyball, men's golf, women's golf, softball, men's tennis, women's tennis, women's track and field, men's volleyball, and women's water polo.The water polo team had the most honorees with 11 followed by track and field team (10), baseball and softball (9) and beach volleyball (7).To be eligible for the All-Academic team, student athletes must maintain a 3.0 cumulative grade point average, complete one full year at the member institution prior to the season and compete in at least 50 percent of their team's contests (baseball pitchers are exempt of participation standards, track and field must either compete in 50 percent or conference championship).The following is a list of the spring honorees from UH teams:Tai Atkins Junior, Hawaiian StudiesNaighel Ali'i Calderon Junior, CommunicationJordan Donahue Junior, Human Dev. & Family StudiesKyson Donahue Senior, Interdisciplinary StudiesHarry Gustin Sophomore, EconomicsCameron Hagan Graduate, Post BaccalaureateJacob Igawa Senior, Civil EngineeringDalton Renne Senior, SociologyTai Walton Senior, EconomicsKaylee Glagau Junior, Social WorkLea Kruse Graduate, Educational PsychologyAnna Maidment Senior, Natural Resources & Enviro. Mgmt.Sofia Russo Senior, PhysicsJaime Santer Junior, MarketingBrooke Van Sickle Graduate, MarketingRiley Wagoner Senior, Chemistry / Women & Gender StudiesMonica Johnson Junior, EconomicsFocus Jonglikit Senior, CommunicologyHyeonji Kang Junior, UndeclaredTing-Yu Liu Sophomore, ManagementMayumi Umezu Junior, Management Information SystemsCira Bartolotti Senior, Food Service and NutritionMya'Liah Bethea Junior, Entrepreneurship & MarketingHaley Johnson Junior, CommunicationKa'ena Keliinoi Junior, ManagementBrianna Lopez Sophomore, Information & Computer SciencesIzabella Martinez Sophomore, HistoryMaya Nakamura Senior, Early Education Special EducationPiper Neri Junior, American StudiesRachel "Bueller" Sabourin Senior, Kinesiology and Rehab ScienceAndy Hernandez Sophomore, Electrical EngineeringAndre Ilagan Graduate, FinanceAxel Labrunie Senior, Finance & Internationla BusinessLucas Labrunie Graduate, EconomicsKilian Maitre Junior, FinanceAnna Kern Junior, Spanish & EconomicsMadison Kim Senior, Animal ScienceSatsuki Takamura Senior, CommunicationAna Vilcek Sophomore, PsychologyHelen Hoadley Junior, Mechanical EngineeringHallee Mohr Junior, Kinesiology and Rehab ScienceAnna Marx Junior, BiologyMontserrat Montanes i Arbo Senior, Molecular and Cell BiologySophia Morgan Graduate, Conflict ResolutionRachel Payan Senior, Animal ScienceGianna Scruggs Junior, CommunicologyTierra Sydnor Senior, English & FrenchLilian Turban Sophomore, CommunicationAmy Warrington Senior, Human Dev. & Family StudiesKna'i Akana Senior, FinanceSpyros Chakas Junior, PsychologyCole Hogland Graduate, Travel Industry ManagementGuilherme Voss Senior, Mechanical EngineeringJakob Thelle Graduate, Urban and Regional PlanningAlia Burlock Sophomore, BiologyLibby Gault Senior, English & JournalismLucia Gomez de la Puente Junior, Molecular Biosci. and BiotechnologyOlivia Kistler Senior, Nat. Resources & Enviro. Mgmt./GeographyBridget Layburn Senior, PsychologyChristina Mullane Sophomore, Kinesiology and Rehab ScienceCamille Radosavljevic Sophomore, Exploratory EducationEmilia Schorr Sophomore, Biological EngineeringLot Stertefeld Junior, Pre-PsychologyEmma van Rossum Senior, Info. & Comp. Sci./PsychologyJordan Wedderburn Sophomore, Kinesiology and Rehab Science

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Theory of overparametrization in quantum neural networks – Nature.com

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Research Fellow, School of Electronics, Electrical Engineering and … – Times Higher Education

Application closing date: 17/07/2023Salary: 36,333 per annumJob category/type: Research

The School of Electronics, Electrical Engineering & Computer Science (EEECS) at Queens University Belfast, is currently seeking to appoint an exceptional candidate to the post of Research Fellow for the design and implementation of mmWave reconfigurable intelligent surface (RIS) and development of experimental setup to test and verifythe mmWave communication. This work will be carried out as part of U.S.-Ireland R&D Partnership project REFLECT-MMWAVE, aiming to perform experimentations using reconfigurable, coherent, and active surfaces in mmWave frequency ranges.

This is a unique opportunity to build the next-generation RIS systems and work at one of the leading institutions in the UK in microwave and mmWave technology, the Centre for Wireless Innovation Queens University Belfast, collaborating with a UK-wide team of academics and industry partners.

The successful candidate must have, and your application should clearly demonstrate you have:

Please note the above are not an exhaustive list. For further information about the role including the essential and desirable criteria please click the Candidate Information link below.

This post is fixed term for 2 years, to end no later than 31 December 2025. Fixed term contract posts are available for the stated period in the first instance but in particular circumstances may be renewed or made permanent subject to availability of funding.

At Queens our people are at the heart of everything we do. As a staff member you will become part of a vibrant organisational culture, which will provide you with the opportunity to achieve your full potential and enhance your career through a continuous focus on learning and development

QueensUniversity is committed topromoting equality of opportunityto all.We have created an inclusive culture by establishing staff networks such as iRise (Black, Asian, Minority Ethnic and International Staff Network) and PRISM (LGBTQ+) which help us progress equality.

We also subscribe to Equality Charter Marks such as the Diversity Charter Mark NI in addition to Athena Swan. For further information on our commitment to Equality, Diversity and Inclusion, please visit:www.qub.ac.uk/diversity;www.qub.ac.uk/qgiandwww.qub.ac.uk/sites/StaffGateway/StaffNetworks/

Candidate InformationAbout the SchoolAbout the Research CentreAttractive Reward PackageInformation for International Applicants

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Research Fellow, School of Electronics, Electrical Engineering and ... - Times Higher Education

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