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Jeep Bets Detroit’s First New Plant in 30 Years Will Address Decades of Customer Complaints – Newsweek

It all started with a single question: "How do we do this better?" From there, Stellantis, then Fiat Chrysler Automobiles (FCA), put the people and plans into place to change the quality of their products for the better.

Initial product quality has been an issue across the board for companies that were formerly under the FCA umbrella (Alfa Romeo, Chrysler, Dodge, Fiat, Jeep, Maserati, and Ram) for years. Dodge made news last year when they tied with Kia for the top spot in the 2020 J.D. Power Initial Quality Study. It was the first time in 34 years that an American automaker had lead the pack.

That study details the problems encountered by owners of current model year vehicles during the first 90 days of ownership. "Owners of Jeep, and Stellantis brands in general, have historically reported more initial quality problems than the average," said Dave Sargent, vice president of automotive quality, J.D. Power.

Stellantis's Mack Plant was idled in 2012 and due for a makeover. As product plans were solidified, Jeep chose the next-generation Grand Cherokee to be the model that would christen the new facility, which lies adjacent to the company's Jefferson Plant on Detroit's north side, together forming the Detroit Assembly Complex.

The Mack Plant site has been an automotive industry manufacturing facility since 1916. Its rise and fall over the last century mirrors the story of Detroit itself. The current iteration is a combination of an overhauled assembly building that was built in the 1990s and new facilities that were constructed as part of a $1.6 billion investment announced in 2019. It is the first new assembly plant built in Detroit in 30 years.

Construction on the new facility began in the second quarter of 2019. It was swift, with completion occurring less than two years later. The three million square feet of floor space sit as part of the larger 266-acre site, which houses the company's Jeep Grand Cherokee L and forthcoming Grand Cherokee Base and 4xe Body Shop, Paint Shop, and General Assembly facilities.

Typical vehicle development follows a series of stages from conceptualization to approval to manufacturing to launch. Jeep's Grand Cherokee L team pulled in the manufacturing team early, a full six months before they typically would, in an effort to put vehicle quality in the spotlight.

Part of that process was having a hand in the design of the company's new Mack Plant layout. Jeep wasn't retrofitting a plant as an automaker typically would with the introduction of a generational redesign. They were starting from a metal and concrete shell, allowing them to fully customize the manufacturing process.

Automotive product planners, engineers, and designers typically work within a pyramid style of reporting with management at the top. Tom Seel, vehicle line executive for the Jeep Grand Cherokee L, explained that for the new generation SUV and the Mack Plant, Jeep flipped the formula on its head, putting the customer first.

Supporting that critical mission are the over 4,900 workers at Mack. Focusing on the customer means crafting an empowered workforce that personally felt responsible for the quality of the product that was on the line. Because the plant and most of its staff were new to the company, Jeep's team has the opportunity to create culture, not just seek to modify it. They want employees to take ownership in the vehicles rolling off the line and have pride in them. "It was an opportunity to set a new precedent," said Mario Holmes, model responsible, Jeep Grand Cherokee L, "This is their car."

This triggered a fundamental change in the approach to the manufacturing process. The company pulled experienced workers from other plants and put them in charge. They hired a workforce that has been slowly completing the on-boarding and training process. First shift was started last summer and second and third shifts began work in March and April, respectively.

Mack Plant staff encourage their workers to not allow anything that isn't perfect to pass. As a reminder of that commitment, signs hang at nearly every station on the plant floor reading "Build no defect. Accept no defect. Ship no defect."

If a worker sees a defect, they're responsible for pulling the andon handle, which halts the production line. The goal is to identify the problem, find out what can be done, and address it then and there rather than waiting for the vehicle to come off the line, go the dealer, be sold, and then be recalled. That formula looks to save time and money for customers, dealers, and Jeep.

Additionally, instead of waiting until the end of production for each vehicle to be tested, workers test them at three separate points, allowing any issues to be caught early on in the production process rather than at the end of the line or when the model reaches a dealership.

There are new tests on each Grand Cherokee L that aren't undertaken on the current generation Grand Cherokee - Buzz, Squeak, and Rattle (BSR) and the Nine Position Water Test. BSR testing allows plant workers to take the vehicle through a series of 11 simulated obstacles (pot holes, manhole covers, rumble strips, cobblestones, speed bumps, and gravel among them) to see if vehicle components fail at any point.

The Nine Position Water Test simulates a variety of terrain including hills and inclines, and weather conditions. Each vehicle goes through these tests, and a series of others. Any that don't pass all criteria are pulled for further inspection and not allowed to proceed to shipping until the issue has been resolved.

These tests are new to the plant as part of the company's redo. BSR testing is only done at one other U.S.-based Stellantis plant - Sterling Heights Assembly, home of the Ram 1500. The water test is similarly unique, only being conducted elsewhere at the Toledo Assembly Complex where the Jeep Wrangler and Gladiator are built.

There is a sense of urgency about the quality of the whole operation. Mack Plant managers huddle at 6 a.m. each morning to discuss downtime and lost time, and try to solve problems rather than wait for a weekly or monthly meeting.

Mechanical engineers have been moved to the plant floor, working at the site where the vehicle they're responsible for is produced, creating a more cohesive partnership from design to manufacturing where teams can work together while being hands-on with the product, meet with the employees who assemble it, and the interact with the supplies that are being delivered.

Data mining is also playing a critical part in the manufacturing quality control process. Jeep contracted with an outside vendor to create My Customer Voice, a data mining system that analyzes repair information sent by dealerships and pushes identifiable trend patterns to managers that are on the production line at Mack Plant. The effort aims to answer questions about installation problems, supplier part defects, and design flaws as soon as possible.

In 2020, J.D. Power reported that, for the first time in 15 years of survey tracking, Jeep performed better than average in initial quality tests, but that score was greatly impacted by the removal of problematic models from the company's lineup. Sargent notes that over the next few years, Jeep will be "introducing multiple significant new products", something that would be a challenge for any automaker and will be a "good test of the progress that the company has made."

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Computer science to count as core credit in high schools; What led to the change? – KSNT News

TOPEKA (KSNT) High school students in Kansas will now be able to swap a computer science course for a core math or science class. The state school board voted to pass the proposal on Tuesday.

As technology advances, advocates of the measure said the workforce is also changing, prompting a much-needed change in what students are taught.

Being 25, and Im entering the workforce, and I know now what I would have liked to learn in high school, Sierra Bonn said.

Bonn, who holds the title of Miss Southwest Kansas 2020 and is a passionate technology advocate, spearheads her own non-profit organization, known as Lets go full STEAM ahead.

The organization encourages young women to pursue careers in the fields of science, math and technology. Its something that Bonn had a hard time pursuing herself, with a lack of guidance to help push her forward after graduating high school.

I didnt end up taking a computer science class until my sophomore year of college. I actually ended up failing that class because I had no background knowledge, she said.

Bonn said having computer skills would have made a big difference as she navigates a career in engineering.

Now, some high schoolers across the state wont have to be stuck in the same position. The state school boards decision allows students to prepare for computer science courses early on. An issue some school board members, like State Board of Education Chair Jim Porter, said was hard to address before.

We are so far behind in meeting the needs of businesses, industry, and students when it comes to computer education, Porter said.

Before the decision, Kansas was one of two states Porter agreed with arguments that Kansas was one of only two states that didnt provide the option to have computer science as a core class, as opposed to an elective.

Porter agreed with advocates, who believe that this would help students get ahead of the competition when looking for jobs or pursuing their future career goals. However, some board members opposed the measure, arguing that there are better solutions to solving that problem.

What we need is a broad range of computer education courses in all 286 districts, so we need more trained teachers, robotics clubs, girls who code clubs, said board member Ann Mah.

After the State Boards vote, local school boards can substitute one unit of computer science for either one unit of science or math as long as the student meets the math and science concepts required in regulations and the school district allows it.

Kansas graduation requirements include a minimum of 21 units of credit, including four English language arts units; three history, government and social studies units; three math units; three science units; one physical education unit; one unit of fine arts; and six units of elective courses.

According to the State Board of Education, the approval of the recommendation doesnt change the minimum 21 credits required for graduation, and it doesnt make computer science a required course for graduation. It does, however, put an emphasis on the importance of computer science and increases the flexibility for students, counselors and administrators to count computer science as a core credit.

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Cybersecurity threats arise when AI is taught to lie – Popular Science

Priyanka Ranade is a PhD Student in Computer Science and Electrical Engineering at the University of Maryland, Baltimore County. Anupam Joshi is a professor of Computer Science & Electrical Engineering at the University of Maryland, Baltimore County. Tim Finin is a professor of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County. This story originally featured on The Conversation.

If you use such social media websites as Facebook and Twitter, you may have come across posts flagged with warnings about misinformation. So far, most misinformationflagged and unflaggedhas been aimed at the general public. Imagine the possibility of misinformationinformation that is false or misleadingin scientific and technical fields like cybersecurity, public safety and medicine.

There is growing concern about misinformation spreading in these critical fields as a result of common biases and practices in publishing scientific literature, even in peer-reviewed research papers. As a graduate student and as faculty members doing research in cybersecurity, we studied a new avenue of misinformation in the scientific community. We found that its possible for artificial intelligence systems to generate false information in critical fields like medicine and defense that is convincing enough to fool experts.

General misinformation often aims to tarnish the reputation of companies or public figures. Misinformation within communities of expertise has the potential for scary outcomes such as delivering incorrect medical advice to doctors and patients. This could put lives at risk.

To test this threat, we studied the impacts of spreading misinformation in the cybersecurity and medical communities. We used artificial intelligence models dubbed transformers to generate false cybersecurity news and COVID-19 medical studies and presented the cybersecurity misinformation to cybersecurity experts for testing. We found that transformer-generated misinformation was able to fool cybersecurity experts.

Much of the technology used to identify and manage misinformation is powered by artificial intelligence. AI allows computer scientists to fact-check large amounts of misinformation quickly, given that theres too much for people to detect without the help of technology. Although AI helps people detect misinformation, it has ironically also been used to produce misinformation in recent years.

Transformers, like BERT from Google and GPT from OpenAI, use natural language processing to understand text and produce translations, summaries, and interpretations. They have been used in such tasks as storytelling and answering questions, pushing the boundaries of machines displaying humanlike capabilities in generating text.

Transformers have aided Google and other technology companies by improving their search engines and have helped the general public in combating such common problems as battling writers block.

Transformers can also be used for malevolent purposes. Social networks like Facebook and Twitter have already faced the challenges of AI-generated fake news across platforms.

Our research shows that transformers also pose a misinformation threat in medicine and cybersecurity. To illustrate how serious this is, we fine-tuned the GPT-2 transformer model on open online sources discussing cybersecurity vulnerabilities and attack information. A cybersecurity vulnerability is the weakness of a computer system, and a cybersecurity attack is an act that exploits a vulnerability. For example, if a vulnerability is a weak Facebook password, an attack exploiting it would be a hacker figuring out your password and breaking into your account.

We then seeded the model with the sentence or phrase of an actual cyberthreat intelligence sample and had it generate the rest of the threat description. We presented this generated description to cyberthreat hunters, who sift through lots of information about cybersecurity threats. These professionals read the threat descriptions to identify potential attacks and adjust the defenses of their systems.

We were surprised by the results. The cybersecurity misinformation examples we generated were able to fool cyberthreat hunters, who are knowledgeable about all kinds of cybersecurity attacks and vulnerabilities. Imagine this scenario with a crucial piece of cyberthreat intelligence that involves the airline industry, which we generated in our study.

This misleading piece of information contains incorrect information concerning cyberattacks on airlines with sensitive real-time flight data. This false information could keep cyber analysts from addressing legitimate vulnerabilities in their systems by shifting their attention to fake software bugs. If a cyber analyst acts on the fake information in a real-world scenario, the airline in question could have faced a serious attack that exploits a real, unaddressed vulnerability.

A similar transformer-based model can generate information in the medical domain and potentially fool medical experts. During the COVID-19 pandemic, preprints of research papers that have not yet undergone a rigorous review are constantly being uploaded to such sites as medrXiv. They are not only being described in the press but are being used to make public health decisions. Consider the following, which is not real but generated by our model after minimal fine-tuning of the default GPT-2 on some COVID-19-related papers.

The model was able to generate complete sentences and form an abstract allegedly describing the side effects of COVID-19 vaccinations and the experiments that were conducted. This is troubling both for medical researchers, who consistently rely on accurate information to make informed decisions, and for members of the general public, who often rely on public news to learn about critical health information. If accepted as accurate, this kind of misinformation could put lives at risk by misdirecting the efforts of scientists conducting biomedical research.

Although examples like these from our study can be fact-checked, transformer-generated misinformation hinders such industries as health care and cybersecurity in adopting AI to help with information overload. For example, automated systems are being developed to extract data from cyberthreat intelligence that is then used to inform and train automated systems to recognize possible attacks. If these automated systems process such false cybersecurity text, they will be less effective at detecting true threats.

We believe the result could be an arms race as people spreading misinformation develop better ways to create false information in response to effective ways to recognize it.

Cybersecurity researchers continuously study ways to detect misinformation in different domains. Understanding how to automatically generate misinformation helps in understanding how to recognize it. For example, automatically generated information often has subtle grammatical mistakes that systems can be trained to detect. Systems can also cross-correlate information from multiple sources and identify claims lacking substantial support from other sources.

Ultimately, everyone should be more vigilant about what information is trustworthy and be aware that hackers exploit peoples credulity, especially if the information is not from reputable news sources or published scientific work.

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QS ranks MIT the world’s No. 1 university for 2021-22 – MIT News

MIT has again been named the worlds top university by the QS World University Rankings, which were announced today. This is the 10th year in a row MIT has received this distinction.

The full 2022 edition of the rankings published by Quacquarelli Symonds, an organization specializing in education and study abroad can be found at TopUniversities.com. The QS rankings were based on academic reputation, employer reputation, citations per faculty, student-to-faculty ratio, proportion of international faculty, and proportion of international students.

MIT was also ranked the worlds top university in 12 of the subject areas ranked by QS, as announced in March of this year.

The Institute received a No. 1 ranking in the following QS subject areas: Architecture; Chemistry; Computer Science and Information Systems; Chemical Engineering; Civil and Structural Engineering; Economics and Econometrics; Electrical and Electronic Engineering; Mechanical, Aeronautical and Manufacturing Engineering; Linguistics; Mathematics; Physics and Astronomy; and Statistics and Operational Research.

MIT also placed second in four subject areas: Accounting and Finance; Biological Sciences; Earth and Marine Sciences; and Materials Science.

We deeply appreciate the recognition of our institution and the faculty, staff, alumni, and students that make MIT what it is and we also tremendously admire the achievements of academic institutions around the globe, says MIT President L. Rafael Reif. The world benefits from a strong higher education network that delivers countless benefits for humanity, from fundamental discoveries to novel solutions to pressing challenges in climate and health, to the education of the next generation of talent. We are proud and grateful to belong to this great human community of scholars, researchers, and educators, striving together to make a better world.

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Talk to explore power of taxonomy and embedding in text mining | Penn State University – Penn State News

Jiawei Han, Michael Aiken Chair Professor in the Department of Computer Science at University of Illinois at Urbana-Champaign.

UNIVERSITY PARK, Pa. Jiawei Han, Michael Aiken Chair Professor in the Department of Computer Science at University of Illinois at Urbana-Champaign, will present a talk as part of the Penn State Center for Socially Responsible Artificial Intelligence Distinguished Lecture Series at 11:30 a.m. on June 14 via Zoom. In the talk, Han will discuss his work to explore the power of taxonomy and embedding in text mining.

This lecture is free and open to the Penn State community. Find the Zoom link for Hans talk and learn more about the CSRAI Distinguished Lecture Series at ai.psu.edu/distinguished-lecture.

About the talk

Real-world big data are largely dynamic, interconnected and unstructured text. It is highly desirable to transform such massive unstructured data into structured knowledge. Many researchers rely on labor-intensive labeling and curation to extract knowledge from text data. Such approaches, unfortunately, may not be scalable, especially when such texts are domain-specific and nonstandard (such as social media). Han and his team envision that massive text data itself may disclose a large body of hidden structures and knowledge. Equipped with domain-independent and domain-dependent knowledge-bases, researchers can explore the power of massive data to transform unstructured data into structured knowledge. In this talk, Han will introduce a set of methods developed recently in his group for such an exploration, including joint spherical text embedding, discriminative topic mining, taxonomy construction, and taxonomy-guided knowledge mining. They show that a data-driven approach could be promising at transforming massive text data into structured knowledge.

About Jiawei Han

Han is the Michael Aiken Chair Professor in the Department of Computer Science, University of Illinois at Urbana-Champaign. He received the ACM SIGKDD Innovation Award (2004), IEEE Computer Society Technical Achievement Award (2005), IEEE Computer Society W. Wallace McDowell Award (2009), and Japan's Funai Achievement Award (2018). He is a Fellow of ACM and Fellow of IEEE and served as the director of the Information Network Academic Research Center (2009-2016) supported by the Network Science-Collaborative Technology Alliance program of the U.S. Army Research Lab, and co-director of KnowEnG, a Center of Excellence in Big Data Computing (2014-2019), funded by the NIH Big Data to Knowledge Initiative.

About the CSRAI Distinguished Lecture Series

The Penn State Center for Socially Responsible Artificial Intelligence Distinguished Lecture Series highlights world-renowned scholars of repute who have made fundamental contributions to the advancement of socially responsible artificial intelligence. The series aims to provoke attendees and participants to have thoughtful conversations and to facilitate discussion among students, faculty and industry affiliates of the center.

Last Updated June 08, 2021

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Governor recognizes Aparna Bhooshanan for national commendation – The Madison Record – themadisonrecord.com

MADISON A national womens organization has acknowledged the technical initiative of Aparna Bhooshanan, a student at Bob Jones High School. In turn, Gov. Kay Ivey and Alabama State Board of Education also recognized Bhooshanan and issued a state resolution.

Bhooshanan received Honorable Mention as a 2021 awardee in the Aspirations for Computing Initiative with the National Center for Women and Information Technology or NCWIT.

Chartered in 2004 by the National Science Foundation, NCWIT unites approximately 1,500 national organizations invested in change leadership to increase influential participation of girls and women in the field of computing, particularly in terms of innovation and development. (ncwit.org)

In 2021, approximately 4,228 applicants submitted collaterals for Aspirations in Computing awards. Less than 10 percent of applicants across the country succeeded in qualifying.

To congratulate Bhooshanans accomplishment, Gov. Kay Ivey issued a resolution that explained the depth Bhooshanans honor. Now that the highly versatile and sought-after computer science skillset is essential in todays information economy, initiatives that promote computer science awareness and lead to increased college graduates with computing-related degrees are more important than ever, Ivey wrote in the resolution.

Inspiring more girls and young women to choose careers in STEM is not about parity but about a compelling issue of innovation, competitiveness and workforce sustainability, including the ability to design technology that is as broad and creative as the people it serves, the resolution stated.

To qualify for Honorable Mention, Bhooshanan had to display a high aptitude and aspirations in technology and computing. She demonstrated this skill with computing experience, computing-related activities, leadership experience, tenacity in the face of barriers to access and plans for postsecondary education.

The Alabama State Board of Education does hereby commend and congratulate Aparna Bhooshanan upon the honor of being selected as one of Alabamas outstanding young women who display excellence in computer science, the resolution stated.

Bhooshanan accepted her state resolution during a ceremony with Dr. Wayne Reynolds, a member of Alabama State Board of Education. Other state board members attended the presentation.

Bhooshanan frequently earns honors at Bob Jones, such as her 2021 finalist entry in Reflections Fine Arts Contest and a scholarship from U.S. Department of State to study in China. She has received awards for her poetry and for playing chess.

For more information about National Center for Women and Information Technology, visit ncwit.org/about-ncwit.

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Biology’s Role As A Driver of the Future of Computation Development – Bio-IT World

By Allison Proffitt

June 9, 2021 | At the DECODE: AI for Pharmaceuticals forumyesterday, Puneet Batra, director of machine learning at the Broad Institute, outlined the mission of the new Eric and Wendy Schmidt Center at the Broad: to position biology to drive the next era of computing.

The EWSC was launched at the end of March thanks to a $150 million endowment from Eric and Wendy Schmidt that was matched by The Broad Foundation. The Eric and Wendy Schmidt Center seeks to understand the programs of life and how theyre organized across three biological scales: cells, tissues, and organisms, Batra explained. We are doing thisand promoting thisby convening a community of computational scientists and biologists. The goal is not just to bring the tools of modern machine learning to bear on biological discoverythough thats a great goalits also to make biology a key driver of advances in computation itself, he added.

The group is international by design. Twenty-five percent of the combined $300 million endowment is committed to use outside of Boston, and the community of collaborating computational scientists, biologists, and clinicians is already fairly extensive. Beyond the Broad Institute, MIT and Harvard communities, collaborators include Mila (Quebec AI Institute), led by Yoshua Bengio; European Laboratory for Learning and Intelligent Systems, Tuebingen, led by Bernhard Schoelkopf; The Alan Turing Institute, directed by Sir Adrian Smith; Oxford Big Data Institute, directed by Cecilia Lindgren; clinicians and researchers at Mayo Clinic and Geisinger; biopharmaceutical companies, including Genentech (a member of the Roche Group), AstraZeneca, and Novartis; technology and research companies focused on scientific inquiry, including DeepMind, Google Research, and Microsoft; Mikhail Belkin (UC San Diego), David Blei (Columbia University), Marzyeh Ghassemi (University of Toronto), Jennifer Listgarten (UC Berkeley), and Mihaela van der Schaar (Cambridge University).

The Schmidt Center is co-directed by Caroline Uhler, Associate Professor of Electrical Engineering and Computer Science and the Institute for Data, Systems, and Society at MIT and an associate member of the Broad Institute; and Anthony Philippakis, Broads chief data officer.

Biology as Driver

Biology and machine learning can together untangle some of the fundamental questions about the programs of life, Batra said. We think there are a lot of neat problems in biology that need to be addressed by new developments in machine learning, he said. For instance: how do genes interact to form cell types? How do cell types give rise to tissues? And, at the organism level, how do genotypes map to phenotypes?

There are two great revolutions of the 21st Century: the explosion in data technologies (machine learning, cloud, etc.) as well as the blossoming of biological technologies (sequencing, single-cell genomes, medical imaging, etc.). These two revolutions are converging, Batra said, and together they will open a new door on biological research.

But Batra insisted that the goal is not simply to apply machine learning to biological questions. Machine learning, thus far, has been driven by image recognition and predictive accuracy. Driverless cars are a prime example. But for biological questions, he argues, our aim is to understand natural laws. Machine learning needs to move from predictive accuracy to causal modeling, from what? to why?.

Biologyand these unique biological questionscan serve as a key driver to advances in computing.

ML4H: Machine Learning for Health

From its beginning EWSC partnered with the Machine Learning for HealthML4Hproject at Broad. Batra co-leads this 25-person, cross-disciplinary team of computer scientists and clinician researchers . The three pillars of what ML4H does, Batra said, are looking at rich data and outcomes, applying deep learning, and driving clinical questions. We are not just interested in applying models to data, but were really interested in changing how patients are treated, he said. Understanding not just the machine learning side, but also does it mean to improve patient care is a critical driver for the problems we choose to work on.

ML4H work is driven by the deep phenotype hypothesis: the supposition that there are many more phenotypes with genetic bases waiting to be discovered in rich data sets. Once we have these phenotypes, itll accelerate clinical impact in a variety of ways, Batra believes. He expects these deep phenotypes to enable biological discovery, identifying precise genetic architecture of disease and its progression; create new biomarkers and improve trial selection; and improve patient screening, predicting who will get sick and to which therapeutics he or she will respond.

To support the search of these deep phenotypes, Batra and his group are using real-world data from a 500,000 primary care cohort with an average of seven years of follow up per patient. Its deep-learning scale, Batra said, comprising 60-billion-word tokens, 7 million ECGs, rich imaging echoes, and tens of thousands of longitudinal outcomes including stroke, heart attacks, heart failure, and more.

These are the kinds of datasets that one needs to be able to build these deep phenotypes and be able to validate their impact on outcomes, he adds.

Big Data, New Strategies

But even this large dataset still requires thoughtful, new machine learning strategies. Batra outlined some of the steps ML4H takes to maximize the machine learning impact.

First, events and data labels are precious, Batra said. We dont have them at unlimited scales, so we found that its really important to apply pre-trained models from either outside the healthcare industry or inside that weve built ourselves, he said, for example, BERT, DenseNet, and PCLR. When you use [pre-trained models], it really improves data efficiency to make sure your models are learning as fast as they can on the limited data you have.

Second, choice of data representation is crucial. We often take these rich datasets and reduce them to a smaller dimension. When that happens, we need to make sure that the representation is faithful: it captures the biology and doesnt lose it, but also doesnt enhance bias and protocol differences, he said.

Third, Batra has not found clinical relevance to be captured by the area under the curve and believes that carefully considering how the models or tools will be applied in the clinic and in trials is essential. That gives you a different way of evaluating whether its useful or not, which is why the collaboration with clinicians is so important.

Its these practical observations that will drive EWSCs vision along with the work ML4H has been doing.

Our vision is not just to combine these two fieldsto bring modern machine learning to bear on biology, which is happening in many places, Batra said. Its also to start to make the central questions of biology needs to address, this causal aspect, this mechanistic aspect, to make those key needs drivers of additional advances in computing.

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Quality and Quantity | The UCSB Current – The UCSB Current

With commencement week underway for the UC Santa Barbara Class of 2021, several graduating seniors and one faculty member have earned special recognition for their contributions to undergraduate research. Chancellor Henry T. Yang and the UCSB Library have each announced their award winners for 2021.

The Chancellors Award for Excellence in Undergraduate Research has four student winners: Noelle Barr, who will earn bachelor of art degrees in music and in the history of art and architecture; Alec Cao, who is graduating with a degree in physics; Irene Chen, who has completed a degree in communication; and Jack Kilgore, whose degree is in computer science.

David Weld, an associate professor of physics, has received the chancellors faculty award for mentoring undergraduates in research. Weld and Cao, who worked in Welds lab, nominated each other for the honor.

As a double major, Barr combined her interests to produce a senior thesis for which she engaged in both musicological and art historical research. Focusing on paintings by Impressionist painter Berthe Morisot of her daughter Julie playing the violin, Barr explored the social history of violinists particularly women violinists in the 19th century and considered the gendered spaces of modernity.

It can be difficult for an undergraduate to find something original in the heavily researched area of Impressionism but Noelles efforts convinced me otherwise, wrote Laurie Monahan, chair of the history of art and architecture department, in nominating Barr for the award. Using French documents and knowledgeable in the details of the violin and performance, Noelle elucidated the kinds of acceptable performances for women in public and in private quarters, arguing for the instrument as something more than a token of refinement befitting a bourgeois woman. Her arguments grew stronger as her theoretical understanding of feminist theory and research expanded.

Barr has also received a UCSB Library Award for Undergraduate Research and the Howard C. Fenton Award, a research fellowship. She was invitated to participate in the prestigious Richard Macksey National Undergraduate Humanities Research Symposium, and published a paper in The Macksey Journal.

Cao, too, has published during his years at UCSB, and worked in the lab of physicist David Weld, who specializes in experimental ultracold atomic physics. In his nomination of Cao, who he first met as a high school student, Weld described his mentee as a truly unusual talent in the lab and stated, I can say unequivocally that he is the strongest undergraduate scientist I have worked with in my career.

Ultracoldatomic physics is a technically demanding field; the complex optical and electronic systems which comprise a quantum degenerate gas machine stretch the limits of tabletop experimentation, Weld wrote. Most strong undergraduates spend their entire time at UCSB working on a subset of these systems; Alec has already mastered them all.

Cao has also been recognized nationally for his accomplishments, named a Goldwater Scholar and offered competitive National Science Foundation and National Defense Science and Engineering Graduate fellowships. He is the third UCSB student ever to win a Churchill Scholarship, which he will use to pursue research at Cambridge University.

Chen will graduate with a degree in communication. She joined the honors program in her third year, the only junior to be admitted. Passionate about the student of human-computer interaction, Chen designed an experimental study and completed an honors thesis in fall 2020 for which she developed a community-based disaster preparedness framework to address the research question of how the design of social media platforms can support disaster preparedness on a communal level. She adapted her thesis into a paper that has been accepted for publication.

Nominator Jennifer Gibbs, a professor of communication, described Chen as an exceptional student and scholar who has demonstrated outstanding research potential.

She holds herself to the highest standards of excellence in her work and in everything she does, which is reflected in her top-notch writing and analytical skills. She is relentless in her pursuit of knowledge, Gibbs wrote, further characterizing her student as a thorough and rigorous researcher.

Chen is moving on to graduate study at Carnegie Mellon University and is considering an academic career.

Jack Kilgore will stay on at UCSB after earning his bachelors degree in computer science, choosing to next pursue a master of science in the universitys Media Arts and Technology program. Kilgore spent nearly two years working with MAT professor Curtis Roads on a research project sparked by his own initiative to develop a new application for granular synthesis.

Jack Kilgores research exemplifies UCSBs commitment to interdisciplinarity as it combines engineering and the arts, Roads wrote in his nomination, which also cited Kilgores initiative, determination, commitment and team mentality.

The Chancellors Faculty Award for Undergraduate Research Mentoring winner is David Weld. He was nominated by colleague Claudio Campagnari, professor and chair of physics, who noted his demonstrated, longstanding commitment to enhancing undergraduate research at UCSB, as well as the quality and quantity of [his] direct mentorship activities.

Weld also was nominated by two of his students including Alec Cao, one of the student winners of the same award.

His mentorship has catalyzed my tremendous growth, providing me opportunities and achievements ranging from national level scholarships to multiple first-author publications. Cao wrote of Weld. He is committed to empowering undergraduate students with projects they can take full ownership of providing them the necessary scientific guidance to achieve success in these roles.

Undergraduate research mentorship has been a strong focus for Weld since he joined the UCSB faculty in 2011. He has directly mentored more than 30 undergraduate researchers in his lab, and served as an instructor for more than 35 student-quarters of the independent-research course Physics 199. He has been a faculty mentor for 7 L&S honors projects in independent research, and has supervised 10 undergraduate theses.

His students have won national awards and fellowships and published in peer-reviewed publications in some cases as first authors. Many have gone on to prestigious graduate programs at institutions including Harvard, Stanford, Princeton, and Caltech. Weld also trains other faculty mentors of undergraduate researchers and secured federal funding for a career pathways program to support underrepresented minority students in STEM disciplines.

The increasingly competitive Library Award for Undergraduate Researchers (LAUR) recognizes students who produce a scholarly or creative work that makes expert and sophisticated use of the collections, resources and services of the UCSB Library. First- and second-place recipientsin each of three broad categories receive $750 (1st place) and $500 (2nd place).

Among the six recipients for 2021 is Noelle Barr, also a Chancellors Award winner, who won first place in the Humanities and Fine Arts category for her paper, Reinterpreting Gendered Spaces of Modernity in the Portraits of a Violinist. Second place for HFA went to Stephanie Ando, a double-major in the history of art and architecture and political science, for the paper New Japanese Photography (1974): An Introduction to Postwar Japanese Photography.

In the social sciences, first place went to environmental studies major Samantha Ellman for her project The Pedestrianization of State Street and its Effect on Greenhouse Gas Emissions; second place was awarded to France Woo, a sociology major, for United Front Article - Living History Project.

Both spots in the science and engineering category were snared by third-year chemistry students. Yilin Cao for Avoid Relying on Hazardous Organic Solvents for your Organic Reactions: Water as the Reactive Medium, won first place; and Ziguang Yang took second place for Literature Review of Gold Catalyzed Ring Enlargement.

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Would-be AWS bomber pleads guilty, faces 5 to 20 years behind bars for plot to take out government servers – The Register

The leak of US federal tax returns filed by the world's richest tycoons sent shock waves this week. To put it simply, the headlines stemming from the ProPublica report appear damning.

According to the leaked documents the non-profit saw, in 2007 and 2011, Jeff Bezos, today the world's richest person, didn't pay a thing in federal income tax indeed in 2011, the Amazon multi-billionaire claimed and received a $4,000 tax credit for his children. In 2018, Tesla and SpaceX supremo Elon Musk, the second richest person, did not pay a bean in federal income tax, either.

In a splashy investigation, journalists at ProPublica said they'd clapped eyes on: "data provid[ing] an unprecedented look inside the financial lives of America's titans, including Warren Buffett, Bill Gates, Rupert Murdoch and Mark Zuckerberg. It shows not just their income and taxes, but also their investments, stock trades, gambling winnings and even the results of audits."

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Matthew Katzman: 5 Fast Facts You Need to Know – Heavy.com

Getty/LinkedInMatthew Katzman and the Queen

Matthew Katzman is an American citizen and Oxford University lecturer who is causing controversy for his role in a student groups efforts to remove a portrait of Queen Elizabeth II from a wall at Oxford Universitys Magdalen College.

Daily Mail reported: The 25-year-old brought forward the measure to cancel the Queen in his role as president of Magdalens Middle Common Room (MCR), which is made up of graduates.

The Sun reported that Katzman is 25 and the son of a top lawyer from Maryland. According to NPR, the Queens portrait will be removed from a room at Oxford Universitys Magdalen College because students expressed concerns about colonialism.

Education Secretary Gavin Williamson tweeted, Oxford University students removing a picture of the Queen is simply absurd. She is the Head of State and a symbol of what is best about the UK. During her long reign she has worked tirelessly to promote British values of tolerance, inclusivity & respect around the world. Daily Mail reported that the British Prime Minister Boris Johnson said he supported Williamsons comments. But others have supported the decision to remove the portrait.

Heres what you need to know:

GettyQueen Elizabeth II attends a performance at RADA (the Royal Academy of Dramatic Art), to celebrate the drama schools Diamond Jubilee (60th anniversary), London, UK, November 1964.

According to The Sun, a majority of students voted to remove the portrait with one student saying that patriotism and colonialism are not really separable.

The portrait will be replaced by art by or of other influential and inspirational people, reported The Sun.

According to NPR, the college said the decision was up to the students; a group of students originally opted to hang the portrait up in the first place.

NPR noted, British media are also noting that Magdalens middle common room is currently presided over by an American, Matthew Katzman. Daily Mail blared, Student who cancelled the Queen is a visiting AMERICAN: Post grad from Stanford tabled motion to take down royal portrait at Oxfords Magdalen College as MPs line up to condemn move.

Daily Mail noted that Katzman is the son of a top lawyer at international firm Steptoe & Johnson. His family live in a 4million mansion in Washington DC.

According to Daily Mail, Katzman, the son of commercial lawyer Scott Katzman, said the move did not equate to a statement on the Queen but was taken down to create a welcoming, neutral place for all members regardless of background, demographic, or views.

Katzman released a lengthy statement to Daily Mail that also read:

The Magdalen College MCR yesterday [Monday] voted to remove an inexpensive print of the queen that was hung in the common room a few years ago (a motion I brought forward in my role as MCR President as I do all motions raised in a sub-committee). It is being stored securely and will remain in the MCRs art collection. The action was taken after a discussion of the purpose of such a space, and it was decided that the room should be a welcoming, neutral place for all members regardless of background, demographic, or views. he Royal Family is on display in many areas of the college, and it was ultimately agreed that it was an unnecessary addition to the common room. The views of the MCR do not reflect the views of Magdalen College, and the aesthetic decisions made by the voting members of its committee do not equate to a statement on the Queen. Indeed, no stance was taken on the Queen or the Royal Family the conclusion was simply that there were better places for this print to be hung.

Simon InstituteMatthew Katzman

On his LinkedIn page, Katzman says hes a part-time lecturer at Jesus College Oxford for the past year and nine months.

One of three academics selected to lead undergraduate computer science tutorials for Jesus College pupils, he wrote. Engage with students in private or semi-private lessons aimed at improving understanding of computer science concepts. Aid in college admissions and interviews as an associate member of the Senior Common Room.

Before that, he was a micro-intern at Wattson Blue in London. Dove into existing codebase to understand which algorithms were relevant to the tasks I was assigned, he wrote. Restructured and rewrote large portions of back-end software to significantly improve throughput.

He was also a course tutor in artificial intelligence for Oxfords Department of Computer Science.

He is getting his doctorate in Philosophy from Oxford, and his field of study is computer science. He expects to graduate in 2022.

He listed the following Activities and Societies: President of Computer Science Committee of Graduate Students, Algorithms and Complexity Representative on Joint Consultative Committee of Graduates, Student Chair and Computer Science Representative on Graduate Joint Consultative Forum of Mathematics and Physical/Life Sciences Division, Vice President of Magdalen College Middle Common Room, Team Leader in The Oxford Student Consultancy.

On his LinkedIn page, Katzman noted that he attended Stanford University, receiving both a masters and a bachelors degree. He was a tutor for students in STEM fields. Led workshops teaching students LaTeX and introductory programming skills necessary for coursework, he wrote.

He was also a course assignment for classes in artificial intelligence systems and theory.

He previously worked as an assistant trader intern at Susquehanna International Group, LLP (SIG) in 2017 and for the American Institutes for Research in Washington D.C.

In the latter position, he assessed and analyzed standardized testing. Under Activities and Societies at Stanford, he wrote: Trumpet Section Leader and National Anthem Soloist for Leland Stanford Junior University Marching Band, Trumpet Player, Stanford Wind Symphony, Financial Officer for Stanford University Jewish Student Association, Student Leader for Weekly Religious Services, Volunteer for Stanford University Science in Service, Volunteer Teacher for Stanford Splash.

The Simons Institute has a bio of Katzman on its website. It reads,

Matthew Katzman is a first year PhD student at the University of Oxford studying complexity theory with Professor Rahul Santhanam. Raised in Washington DC, he moved across the country to attend Stanford University, where he earned his bachelors degree with honors in mathematics and his masters degree in theoretical computer science. Matthews current research interests lie in the fields of pseudorandomness and derandomization, and their connections to algorithms and complexity theory as a whole. Outside of academics, Matthews interests include trumpet, Spartan Races and tennis.

His Instagram page is private, but it also labels him a Spartan Racer.

Katzman went to high school at the exclusive private school, Sidwell Friends, which is where the Obamas sent their daughters. Presidents Bill Clinton, Richard Nixon, and Theodore Roosevelt also sent children to the school, which costs $48,000 a year, Daily mail reported.

He went there from 2010-2014.

Under Activities and Societies at Sidwell Friends, he listed, Head of Sidwell Friends School Math Team, Player on Sidwell Friends School Tennis Team, Trumpet Player in Sidwell Friends School Jazz Ensemble.

More controversy generated when a Good Morning Britain guest claimed the Queen is the worlds number one symbol of white supremacy.

Professor Kehinde Andrews is the UKs first Black studies professor, according to the Sun.

He said, If were honest the Queen doesnt just represent modern colonialism, the Queen is probably the number one symbol of white supremacy in the entire world. A born to rule elite of this really white family. The head of the commonwealth which is actually the empire, the Sun reported. Even in that picture shes wearing jewels stolen from different parts of the black and brown world.

Others have blasted the decision. Oxfords vice-chancellor Lord Patten told the Sun the decision was offensive and obnoxiously ignorant, saying, Freedom of speech allows even intelligent people to be offensive and obnoxiously ignorant, he said.

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