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Board grants faculty appointments, promotions, tenure | The Source | Washington University in St. Louis – Washington University in St. Louis Newsroom

At the Washington University in St. Louis Board of Trustees meeting March 5, numerous faculty members were appointed or promoted with tenure or granted tenure, effective July 1 unless otherwise indicated.

Ruopeng An to associate professor at the Brown School;

Arpita Bose to associate professor of biology in Arts & Sciences;

Hong Chen to associate professor of biomedical engineering at the McKelvey School of Engineering;Francesco Di Plinio to associate professor of mathematics in Arts & Sciences;

Ali Hassan Ellebedy to associate professor of pathology and immunology at the School of Medicine;

Daniel S. Epps to professor of law at the School of Law;

Vanessa Duffy Fabbre to associate professor at the Brown School;

Roman M. Garnett to associate professor of computer science and engineering at the McKelvey School of Engineering;

Joseph P. Gaut to professor of pathology and immunology at the School of Medicine;

Jonathan Hanahan to associate professor of art at the Sam Fox School of Design & Visual Arts;

Erik A. Henriksen to associate professor of physics in Arts & Sciences;

Brendan A. Juba to associate professor of computer science and engineering at the McKelvey School of Engineering;

I-Ting Angelina Lee to associate professor of computer science and engineering at the McKelvey School of Engineering;

Diane Wei Lewis to associate professor of film and media studies in Arts & Sciences;

Ta-Chiang Liu, MD, PhD, to associate professor of pathology and immunology at the School of Medicine (tenure effective March 5);

Sojung Park to associate professor at the Brown School;

Rachel E. Sachs to professor of law at the School of Law;

Keith E. Schnakenberg to associate professor of political science in Arts & Sciences;

Elijah J. Thimsen to associate professor of energy, environmental and chemical engineering at the McKelvey School of Engineering;

Daniel Lyndon Jaffe Thorek to associate professor of radiology at the School of Medicine (tenure effective March 5); and

Xuan Zhang to associate professor of electrical and systems engineering at the McKelvey School of Engineering.

Peter Brunner as associate professor of neurological surgery at the School of Medicine (tenure effective March 5);

Claudia Swan as professor of art history in Arts & Sciences (tenure effective March 5); and

Jon T. Willie, MD, PhD, as associate professor of neurological surgery at the School of Medicine (tenure effective March 5).

Jeremy Bertomeu as associate professor of accounting (tenure effective March 5).

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Board grants faculty appointments, promotions, tenure | The Source | Washington University in St. Louis - Washington University in St. Louis Newsroom

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The reality of America’s AI talent shortages | TheHill – The Hill

The concern about an artificial intelligence, or AI, workforce shortage in the United States is rapidly becoming a top national security priority. Calls for additional legislative action are mounting as the national security community sees talent as a key enabler in outcompeting China. An increasing number of proposals, including those in the 2021 National Defense Authorization Act and others based on the recommendations of the National Security Commission on Artificial Intelligence, have the goal of growing and cultivating the domestic AI workforce based on the premise of shortages.

However, there is little data on actual U.S. AI labor market dynamics to inform whether there is an AI workforce shortage, and if so, what type and to what extent. Moreover, there is no standard definition of AI workforce. This makes it difficult, if not impossible, to determine which workers are in short supply and how to best address it.

Workforce shortages generally come in two distinct forms, which is important for targeting policy. The first is a skills shortage in the traditional economic sense: an insufficient supply of talent with specific, in-demand skills often due to high barriers to entry. For example, a critical AI occupation often discussed synonymously with AI workforce, computer research scientists, requires years of advanced education and training. Domestic supply is limited, and as a result, the United States also relies on foreign talent.

The second type is a local talent shortage, in an organization or geographic area. There are many possible reasons for local shortages workers geographic preferences, state occupational licensing requirements and, at the organizational level, limited career advancement opportunities, poor hiring practices, uniquely specific skills and/or experience requirements, below market average wages and compensation, among others.

New CSET research provides insight into the reality of U.S. AI talent shortages. We assess the state of the U.S. AI workforce, analyzing traditional economic indicators like employment and wages. We use an occupation-based definition of the AI workforce, enabling analysis using occupational data collected by the federal government over time. We also consider the entire team of talent involved with the design, development and implementation of AI.

To assess the extent of shortages, we focus on five key occupations: Computer and information research scientists; software developers; mathematicians, statisticians and data scientists; user experience designers and project management specialists.

Although it is difficult to make an evidence-based determination, we find three variations in workforce dynamics across the five occupations. First, extremely strong employment and wage growth for computer and information research scientists over 2015 to 2019, coupled with high barriers to entry, likely indicates there is more demand than supply. Second, in other high-demand occupations such as software developers and data scientists, our analysis suggests existing education pipelines have responded as designed to meet rising demand. Over 2015 to 2018, for example, computer science and engineering were the fastest growing undergraduate majors, adding more than 200,000 new graduates. Third, in the case of project management specialists and user experience designers, we do not find evidence of a gap in demand relative to supply.

The divergent trends within the AI workforce have implications for future policy. Importantly, we need to prioritize growing, cultivating, and attracting the highest tier of AI talent. Previous CSET research recommends increasing graduate education scholarships and reforming and streamlining immigration pathways for top AI talent entering the U.S. This also involves a better understanding of STEM workforce pipeline leakages domestically, which start early and continue throughout the entire education lifecycle and well into ones career.

For technical occupations where talent pipelines are working, we need to ensure their sustainability; for example, by incentivizing AI companies to closely partner with state workforce boards and universities to help schools prepare students with the necessary skills. For nontechnical AI occupations, the diversity of potential backgrounds suggests prioritizing AI literacy education for everyone.

Finally, in the quest to expand the talent pipeline, the prevailing wisdom of the need for a four-year college degree should be carefully considered. The current proliferation of certifications, coding academies and other online courses aimed at upskilling U.S. workers provide an alternate pathway for some. However, it is unclear if most employers are accepting these alternative credentials. This creates a risk of leaving many potentially qualified workers on the sidelines, if non-college graduates are less able to compete.

Effective education and workforce policy requires understanding the relevant labor market dynamics, including insights on the existence of workforce shortages. Our research suggests that policies aimed at equipping Americas talent for tomorrows jobs cannot and should not be a one-size-fits-all approach.

Diana Gehlhaus is a research fellow at the Center for Security and Emerging Technology (CSET), focused on AI education and workforce issues as it relates to the United States, China, and U.S. Department of Defense. Follow her on Twitter @dianagcarew.

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OU professor named to Board on Atmospheric Sciences, Climate; seeks to increase trust in artificial intelligence – The Oklahoma Daily

An OU professor has been named to the Board on Atmospheric Sciences and Climate for her research in collaborating artificial intelligence with meteorology.

Amy McGovern is the principal investigator of OUs National Science Foundation AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography, and said in an interview she was hired by OU in 2005 to bring her expertise of AI and computer science to meteorology. She said shes had an eventful year thanks to her contributions to growing interest in using AI technology to better understand climate change and inclement weather.

McGovern said she received a $20 million grant from the National Science Foundation Sept. 1, 2020, to continue her research of using AI to increase public safety during inclement weather. McGovern also said AI can be used to improve the publics climate resiliency, on top of potentially saving more lives.

The focus is creating AI that people are actually going to use and trust, McGovern said, not just AI that you sort of throw over the fence and say Here, this is good. We want them to actually want to use AI and believe that the AI is going to help them with their weather forecasting, understanding the climate movement, improving our climate resiliency, et cetera.

Her work has been featured in The Wall Street Journaland has earned her a position as a fellow of the American Meteorological Society, a title she said she received in January. McGovern, who said she has studied AI for 20 years now, said shes seen public perception of AI change drastically, as well as the technology itself.

It means a lot that we're actually getting the recognition for the fact that AI can do things, McGovern said. People didn't realize what AI could do for them. But the AI researchers could really see the vision that AI was really going to transform our lives. And so now that people can recognize that with grant funding and large institutes, it feels really good, because people can see that we actually really can make a difference. My goal with AI (has) been to be able to help people, to save more lives.

McGovern said AI can especially be used for tornado safety. According to McGovern, 80 percent of the countrys tornadoes are forewarned, but 80 percent of tornado warnings are false alarms. With AI, McGovern said, meteorologists can potentially be able to increase the accuracy of tornado warnings while also decreasing the amount of false alarms.

McGovern also said the average time a warning goes off before a tornado hits, also known as lead time, is 15 minutes. McGovern said experts hope to use AI to increase that lead time to 20-30 minutes, giving the public more time to prepare and take shelter.

If we can use AI to predict all of those events with more accuracy and farther in advance, then we can save lives, McGovern said. Improving the accuracy, and improving the lead time, all that, I think will really help, and AI can do that. AI can be used to help sort through the thousands and thousands of tornadoes that we have archived and find new patterns.


OU professor named to Board on Atmospheric Sciences, Climate; seeks to increase trust in artificial intelligence - The Oklahoma Daily

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Madhavan Mukund to take charge as director of Chennai Mathematical Institute from May 1 – The New Indian Express

By Express News Service

CHENNAI: Prof Madhavan Mukund will take over as the new Director of Chennai Mathematical Institute, a deemed-to-be-university that combines research and teaching in mathematics, computing and physics, from May 1.

He succeeds Rajeeva Karandikar who would be retiring from the Institute after 10 years as Director. Having been associated with CMI since its founding in 1989, Prof. Mukund has donned a variety of rolesincluding Dean of Studies from 2011 and Deputy Director from 2019to incubate, nurture and shape the Institute. He has had extensive academic collaborations in India and overseas, worked with research and development teams of major industries and evangelized computing education across the country, a release stated.

Prof Mukund is currently the Director of the International Research Laboratory in Computer Science set up at CMI by the French National Centre for Scientific Research (CNRS) and a Fellow of the Indian Academy of Sciences. He has also played a leadership role in the Indian computer science community as President of both the ACM India Council and the Indian Association for Research in Computing Science (IARCS). In addition, Prof Mukund has been the National Coordinator of the Indian Computing Olympiad since 2002 and served as the Executive Director of the International Olympiad in Informatics from 2011 to 2014.

It is a privilege and an honour to be selected as the Director of CMI following the legendary Prof. CS Seshadri and the respected probabilist and psephologist Prof. Rajeeva Karandikar, said Prof. Mukund. CMIs global standing in mathematics, computing and physics is largely because of the robust research-driven teaching model, world class faculty and quality of students. At a time when mathematics and computing are transforming every facet of our lives, I am quite excited about the opportunities for CMI to set benchmarks in teaching, research and industry-sponsored consultancy and to make a meaningful impact on society at large.

To further strengthen CMIs ability to make a bigger impact on education and research in new-age areas including cryptography, blockchain, cybersecurity, the Institute has inducted three eminent mathematicians and computer scientists to its Governing CouncilProf. Manindra Agrawal (IIT Kanpur), Prof. V Kumar Murty (Fields Institute, Canada) and Prof. V Srinivas (TIFR, Mumbai), the release stated.

Prof Manindra Agrawal is a computer scientist who is celebrated for his finding that primality can be tested in polynomial time, for which he won the Clay Research Award. He has served as Deputy Director of IIT Kanpur and works closely with the Government of India on projects in diverse areas such as the National Blockchain Project, cybersecurity for critical infrastructure and the national supermodel for Covid-19.

Prof Kumar Murty is a renowned number theorist and algebraic geometer at the University of Toronto with active interests in application domains such as cryptography, information security and mathematical modelling. He is a Fellow of the Royal Society of Canada and a Foreign Fellow of the National Academy of Sciences (India). In 2019, he became the Director of the Fields Institute, an internationally reputed centre for research in the mathematical sciences.

Prof V Srinivas is a renowned mathematician specializing in algebraic geometry. He has been a Professor at TIFR, Mumbai for many years. He has received several awards, such as the Shanti Swaroop Bhatnagar Prize and the TWAS Prize. He is presently the Chairman of the National Board for Higher Mathematics, the release added.

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Keeping hackers at bay | The Source | Washington University in St. Louis – Washington University in St. Louis Newsroom

Its unlikely but possible that right now, someone, somewhere, is trying to hack the components in a pacemaker from hundreds of miles away.

Hacking a pacemaker is an extreme example, but Ning Zhang uses it to emphasize the very real threat posed by vulnerabilities in the interactions between the cyber and physical worlds. And Zhang says these vulnerabilities extend beyond medical equipment to objects such as delivery drones and much more.

Zhang is an assistant professor in the Department of Computer Science & Engineering in the McKelvey School of Engineering. He joined the faculty in 2018 after 11 years at Raytheon, a defense contractor, where he worked to protect critical network and cyber-physical infrastructures.

Clearly, no one has the free time to exploit the vulnerabilities inside the pacemaker to kill you from hundreds of miles away, he says. However, its still not good knowing this is possible.

Recognizing those vulnerabilities is Zhangs first research goal: We want to recognize the possibility and then, as a second goal, try to stop it before it manifests into a bigger threat.

Although a super strong pacemaker disrupter may not show up anytime soon, Zhang says the idea of a cyberattack encroaching on the physical world in a direct and deadly way isnt just a hypothetical.

Ransomware is already doing just that at hospitals, he says. In 2020, a patient died while being transported to another hospital after hackers shut down the computer systems at Dsseldorf University Hospital, where she was being treated.

Clearly, no one has the free time to exploit the vulnerabilities inside a pacemaker to kill you from hundreds of miles away. However, its still not good knowing this is possible.

Although he is a specialist in the technological side of things, Zhang says its often the hidden complexities of the physical world that we can use to our advantage. Take deepfake videos, a somewhat new technology that allows anyone to make a video that looks and sounds real, using real peoples images and voices. This technology is widely available, and some people think it has the potential to do enormous harm, including ruin a marriage with a fake rendezvous or start a war by issuing fake videos of heads of state.

It might be possible to leverage the properties of a physical phenomenon to prove that an image is not a deepfake, Zhang says. Fabricating physical properties is very difficult, as opposed to copying bits of 0s and 1s.

In September 2020, Zhang and collaborators were awarded a $1.2 million grant from the National Science Foundation to strengthen the security and safety of cyber-physical systems across a variety of fields, from defense to the medical industry.

Our project aims to develop technology, he says, and to push this technology to the limit to see where it breaks down, so the broader community can build on top of our results and make an informed decision.

Its this method of developing and testing technology that pitted Zhang against a cell-phone personal assistant. He exposed a vulnerability in the security that would allow a person to take control of a cell phone from a distance by using ultrasonic waves. And then, he proposed ways to use the physical world to protect against such an attack: the interlayer-based defense, which uses a soft, woven fabric to increase the impedance mismatch.

In other words, put the phone on a tablecloth. Or better yet, just keep it in your pocket.


Keeping hackers at bay | The Source | Washington University in St. Louis - Washington University in St. Louis Newsroom

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NSA gathers together the top minds in what it calls the Science of Security – Federal News Network

Best listening experience is on Chrome, Firefox or Safari. Subscribe to Federal Drives daily audio interviews onApple PodcastsorPodcastOne.

HotSOSmight sound like something in the condiments aisle. But its actually an annual event held by the National Security Agency. Hot Topics on Science of Security, its formal name, will be held online next week. For what happens at the event and some of science challenges in security, Federal Drive with Tom Temin checked in with NSA science researcher, Adam Tagert.

Tom Temin: Mr. Tagert, good to have you on.

Adam Tagert: Its great to be here.

Tom Temin: And when you say the science of security, what areas of security are we talking about? Is it mainly cyber?

Adam Tagert: Were talking cybersecurity, everything dealing with computers, mobile devices, things like that.

Tom Temin: Okay, thats enough to keep any conference occupied. And when you mentioned the science of security, thats an unusual term because most people talk about the technology of security. What do you mean by science?

Adam Tagert: Well, with science, were talking about what is the reasons were doing things with technology, we want to understand the concepts, the theories and the models of how both technology and humans behave in the cyber world. So that way, when we develop a defense, we actually have real confidence that it does what we think it intends to do.

Tom Temin: And what are some of the scientific disciplines? I mean, what are the kinds of people and professions that look at these questions?

Adam Tagert: Okay, so you obviously will think of computer science and electrical engineering. But we also have projects dealing with philosophers who are looking at the what does it mean to be resilient? We also have human behavior, people in psychology trying to understand the human aspects of peoples behavior with cyber. So its a very broad discipline across disciplines.

Tom Temin: I was wondering if it also includes the behavior science of people that might be the recipients of cyber attacks, especially phishing attacks? Which, golly, they are really some sophisticated emails coming out these days?

Adam Tagert: Absolutely. That is a key component of dealing with cybersecurity was looking at phishing. We had a project once looking at how different countries peoples responded to phishing, its different depending if youre looking in United States or say India.

Tom Temin: Got it. And I guess it probably varies by age group to some given population.

Adam Tagert: Yeah. The different motivations between older people, theres definitely lots of senior attacks versus how young people are maybe more cynical when it comes to receiving an email.

Tom Temin: Alright, and tell us a little bit about the conference. Who attends and how does it all work?

Adam Tagert: Thats us, we get attendees from all three government, academia and industry, which is a great environment for collaboration. We have government people talking about the problems and some of our approaches. And then we have academics that are working on the same problems. And were trying to bring everything together. And industry is saying, hey this is how we operate. And this is our challenges, because its all different flavors of the same challenge. And one of the great things about HotSOS is we really talk about ongoing research instead of a lot of traditional conferences, where we talk about research that is done, and were just publishing it for everyone to look at. HotSOS is about the ongoing, so we actually read draft papers, and we have 45 minute in-depth discussions led by discussants, who in some cases theyre NSA zone researchers who are leading discussions on these important topics. Let me give you one really interesting example. We have a work in progress paper from Towson University, which is in Baltimore. And theyre looking at how election workers, the poll workers deal with cybersecurity. Theyve been working with the state of Maryland on training. And in this study, theyve done a survey of 2,000 workers in 13 states just to see how they respond to cyber threats and what their perceptions is. And really, hopefully, we can get some better security there.

Tom Temin: And what about some of the hard sciences. I know that quantum computing is a topic in cybersecurity, also dealing with data and processing it in encrypted form, which is very difficult for processors and so on. Are those types of questions also part of this?

Adam Tagert: Absolutely. Dealing with computing the cloud where you want to keep everything encrypted just for your own privacy. You dont want people to see what data is, is in fact, one of the topics of our keynote from NSA. So our keynote from NSA, Nick Felts ,will be talking about the effort to keep as much as possible encrypted when youre computing the cloud. So its going to be an interesting talk there.

Tom Temin: Now, when this conference was in person, where did it take place?

Adam Tagert: So it rotated around the country. So NSA funds a series of LabLits, which are small virtual labs at universities in the United States, and HotSOS would rotate around them. So sometimes we were in Raleigh, North Carolina with North Carolina State. Other times wed be in Carnegie Mellon in Pittsburgh. So we would move around the country.

Tom Temin: And now that it has been, I guess this must be your second time in a row virtual, correct?

Adam Tagert: It has. This is the second virtual. Last year we were supposed to be in Lawrence, Kansas, but we ended up being in virtual Lawrence, Kansas.

Tom Temin: Yeah, I dont know which is better in Lawrence, Kansas. But with respect to attendance, do you find what other conferences find that instead of getting scores or hundreds, you get tens of thousands because anyone can go?

Adam Tagert: Well, one of the benefits is our sponsorship has allowed us to waive registration fees, so anyone can participate for free. Traditional attendance was about 150 people. Last year, we had 430 attendees in the virtual setting. And so far this year, were over 550 registered attendees.

Tom Temin: Yeah. So its almost tempting to never go back to in person because theres no lunch to be served, no airplane to be ticketed. But another question I had to with respect to the topics, again, is the security clearance process. And theres a RAND study just out on maybe ways to update the criteria for security clearance, given the millennial age and the younger people coming in potentially to the federal and contractor workforce. Does the science of security include how do we evaluate people in a way that gives some higher degree of confidence that they can be trusted?

Adam Tagert: So for the science for security program, we dont actually look at the security aspect of how people are evaluated for clearances, were really looking at the cyber aspect. So an expert in those areas would probably have a better idea of how to evaluate somebody.

Tom Temin: Okay, well well just hope the people that get these secrets in their hands can keep them, but thats a conference of another sort, I guess. And looking to the conference, which is taking place next week, what are the grand challenges? Does it look in those terms at what are the big challenges for cybersecurity in the science realm? Whats the next big frontier?

Adam Tagert: So were actually having a discussion on what is the next challenges for the science security for the 2020s. We opened an open call for ideas and we have 45 topics to discuss during the conference on it. Obviously, human behavior aspects of it are going to be a key component of the challenges. How to have resilient computers so that they can continue to operate even after we compromised. Because saying, I received the compromise, Im going to turn off all my systems and build it over is not a realistic solution. Metrics, how to value of what device or software is more secure than others. And those are just some of the ideas that we have been working on and probably will continue to be working on for the hard challenges.

Tom Temin: And what is involved with attending if someone would like to? Can you just do it online?

Adam Tagert: You can do it online. There are no apps or anything to install, you just go to the NSA website to find the article on HotSOS. Or you can visit the HotSOS website at

Tom Temin: Adam Tagert is a security science researcher at the National Security Agency. Thanks so much for joining me.

Adam Tagert: Thank you.

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From the Classroom, to the Lab, to the Community | Information Technology | University of Pittsburgh – UPJ Athletics

When Jeremy Olin came to Pitt as a computer science major, it seemed only logical to get a job in the Student Computing Labs. It offered flexible hours, and it enabled him to gain experience working with customers with varied levels of computer skills. Olin enjoyed the work because it forced him outside of his computer science bubble. Having a student-facing job gave me a little more perspective on other students with different skills sets, says Olin.

As his coursework became more advanced, however, he wanted to apply his technical skills to make a more significant impact in the larger community. I wanted to gain real-world experience in something that could really help people, Olin explained.

Olin talked about his goals with Bob Gradeck, project manager of the Western Pennsylvania Regional Data Center at Pitts University Center for Social and Urban Research. Gradeck put him in touch with Dr. Sera Linardi, a faculty member in the Graduate School of Public and International Affairs and director of the Center for Analytical Approaches to Social Innovation (CAASI). Linardi had launched CAASIs Grief to Action (G2A) initiative, a volunteering platform to help fight the systemic racism laid bare by the death of George Floyd and Black Lives Matter.

Since its inception in June 2020, G2A has hosted four undergraduate capstone teams from the School of Computing and Information (SCI), and she had the perfect opportunity in mind. Linardi connected Olin with 412 Connect, a new project whose mission is to promote and increase the visibility of Black-owned businesses in Pittsburgh and to expand their presence on and around the University of Pittsburgh campus. Olin had already completed his SCI capstone project, so in October, he joined the technical team on a volunteer basis, joining other capstone students.

Data shows that Pittsburghs Black neighborhoods and businesses are very segregated, and most students dont branch out to these areas, Olin notes. 412 Connect is developing a site that makes it fun for the student population to connect with Black-owned businesses via a scavenger hunt experience.

Think of it like Duolingo, Olin explained. People can create individual or team accounts. They can then access a directory of recommended Black-owned businesses in the Pittsburgh region. Each entry has information about the business: what they do, their location, their website, etc.

The site makes it easy to visit and support these businesses. The goal is to incentivize students by creating a reward system. People can earn badges and connect with others by visiting different businesses, said Olin. The team is also considering other ways to reward people who show commitment to visiting Black-owned businesses.

412 Connect hopes to get the basic site set up by the end of spring term, and launch a mobile-friendly site in the summer.

Olin really enjoyed working on 412 Connect, and the experience hes gained helped him gain the attention of employers in this challenging job market. He graduates this summer and already has a position lined up.

Employers really liked that I have real-world experience in a variety of tech positions. Working with customers in a help desk and troubleshooting role through my lab job was a seen as a real bonus. But I also demonstrated more advanced coding and project skills through my work with 412 Connect.

While Olins job will be in the private sector, he hopes to continue to participate in non-profit and volunteering work, using his technical skills to make a difference. Helping people is worthwhile work that I want to do, instead of work I have to do.

-- By Karen Beaudway, Pitt IT Blogger


From the Classroom, to the Lab, to the Community | Information Technology | University of Pittsburgh - UPJ Athletics

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How machine learning can revolutionize the quality of hearing – TechHQ

As machine learning (ML) integrates itself into almost every industry from automotive and healthcare to banking and manufacturing- the most exciting advancements look as if they are still yet to come. Machine learning as a subset of artificial intelligence (AI) have been among the most significant technological developments in recent history, with few fields possessing the same amount of potential to disrupt a wide range of industries.

And while many applications of ML technology go unseen, there are countless ways companies are harnessing its power in new and intriguing applications. That said, MLs revolutionary impact is most poised perhaps when put to use for age-old problems.

Hearing loss is not a new condition by any means, and people have suffered from it for centuries. The first electric hearing aid was designed in 1898 by Miller Reese Hutchison, with the first commercially manufactured hearing aids introduced in 1913.With an estimated 48 million Americans experiencing some sort of hearing loss, hearing aids can be a lifeline for many who struggle with the quality of their hearing.

And while it may seem hard to believe, todays most predominant hearing aids on the market can be painful to wear having been designed 50-100 years ago.In response to a stagnant area of development, ML is being leveraged with deep learning and advanced signal processing techniques at a level of detail previously impossible.

Through the application of software-based solutions, ML algorithms can power hearing aids to detect, predict, and suppress unwanted background noise. Neural network models take structured and unstructured data and augment it with other data sets relating to the spectrum of age, language, and voice types. The data is then refined by being fed into neural network training, which begins a process of ongoing product improvement.

In an interview with Forbes, Andre Esteva, Head of Medical AI at Salesforce says that the limits of traditional approaches have been emphasized by the manual processes involved in acquiring data to mold it into a usable format, before preparing basic algorithms to be deployed to devices. ML training protocols, on the other hand, Esteva says, automatically processes data before updating themselves to redeploy.

The effect is a significant reduction in product feedback cycles and an increase in the range of capabilities available. The beauty of this approach is that the underlying intelligence improves over time as the neural nets go through iterative training, added Esteva.

As of today, there are several companies providing AI-powered hearing aids. The most recent being Whisper, a startup that has recently obtained funds of around US$50 million as they prepare to go to production on their first product. The AI-powered hearing aids from Whisper self-tune over time, and continually improve with AI for better performance.

Elsewhere, MicroTech claims its Essentia Edge product scans environments to make changes to boost speech intelligibility, while Widexs Evoke hearing aids combine real-time input with previously learned sounds from users and millions of other listening domains.The goal of introducing machine learning technologies in healthcare is to enhance the experience of patients and users. As intelligent innovative solutions continue to emerge in a field full of noise, the buzz around revolutionary tech seems to only get louder.

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Optimize manufacturing with AI, machine learning and digitalization – The Manufacturer

From production planning and mechanical engineering to project planning, advanced technologies and digitalization effectively mitigate challenges while optimizing key processes.

INFORM Software Corporation, a leading provider of AI-based optimization software that facilitates improves decision making, processes and resource management across diverse industries, will be hosting three, free webinars focused on optimizing various manufacturing and assembly process in sectors that include: machine building, marine and aircraft engines, turbines, generators, fluid power and air motors, pumps, hydraulics and industry cranes with a high diversity of end products and complex planning processes. Find here a short video of our intelligent production planning solution.

The first webinar scheduled for Tuesday, 1 June, 2021, 17:00-17:30 CEST, 11:00-11:30 AM EDT is on Production planning of the future The road to digitalization, AI and machine learning.

It will demonstrate how companies can utilize AI and machine learning in target environments to increase efficiency and planning in their production. They will learn: how to capitalize on their data by making decisions with the assistance of intelligent solutions that increase planning reliability and adherence to schedules in the long term; how machine learning can help to accurately predict replenishment lead times; and how to optimally schedule production despite limited capacities.

INFORM Software Corporation Chief Operating Officer Justin Newell noted, By leveraging AI and machine learning, manufacturers can derive key benefits, including shorter throughput times, cost savings, improved materials management, optimized procurement and identification of critical paths within the supply chain, and how to mitigate potential problems.

The second webinar on Tuesday, 8 June, 2021, 17:00-17:30 CEST, 11:00-11:30 AM EDT will cover Digitalization in mechanical engineering: Mastering complexity in production.

Its focus will be on the growing challenges faced by mechanical and plant engineers stemming from increasing production variants, smaller batch sizes, and daily changes often introduced with short notice. Takeaways will include advice on how to master the daily challenges and leverage an intelligent planning solution to achieve delivery reliability, realistic scheduling, and agility within manufacturing and assembly planning processes.

The topic of the last webinar held on Tuesday, 15 June, 2021, 17:00-17:30 CEST, 11:00-11:30 AM EDT, will be Increased transparency in project and assembly planning focused on machine and plant engineering.

Machine and plant engineering demands transparency with up-to-date information, visualization on the impacts of postponements on production processes and orders, synchronization of work lists to capacities and materials, as well as a reduction missing parts, residue and routine work, all of which can be achieved using intelligent planning solutions, continued Newell. Through this webinar, participants will learn how to achieve their project management goals while planning and delivering parallel projects on-schedule. They will gain insights relating to centralized planning of all resources from employees and facility space to materials and machines, and how to achieve real-time synchronization with their ERP systems, added Newell.

Register here for the free webinars.

The date does not fit for you? Register anyway to receive the presentations after the webinars are held.

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Savills, MRI Software Announce Expanded Partnership to Accelerate AI and Machine Learning Capabilities for Knowledge Cubed – KPVI News 6

NEW YORK, April 8, 2021 /PRNewswire/ --Global real estate services firm Savills today announced that it expanded its global partnership with MRI Software, a worldwide leader in real estate software.

As part of an extended agreement, Savills will expand its integration of MRI's artificial intelligence-powered data abstraction tool, MRI Contract Intelligence powered by Leverton AI, to include MRI ProLease, a cloud-based solution for lease administration, lease accounting, lease analysis and workplace management. The integrated capabilities will deliver enhanced real estate management applications to clients utilizing Savills award-winning business intelligence platform Knowledge Cubed.

"Corporate occupiers require access to data historically locked away in leases to effectively manage and reevaluate their portfolios," said Saurabh Abhyankar, MRI Software's chief product officer. "The expanded integration of Leverton AI automates and simplifies the complex data extraction process, enabling Savills clients to easily access and analyze data from leases, contracts and legal documents."

Savills and MRI will leverage a jointly developed data model to accelerate document abstraction and structuring for corporate occupiers. The proprietary machine-learning algorithm will allow smaller teams to quickly set up digital applications within Knowledge Cubed and highlight actionable insights to enable better management of real estate portfolios.

"By integrating our algorithm within Knowledge Cubed applications, we are able to provide clients an unparalleled speed and scale advantage that helps analyze portfolios in real time with access to the source documents in one click," said Patrick McGrath, Savills chief information officer and head of client technologies.

The MRI partnership continues Savills ongoing investment in innovative client technologies and data partnerships. Launched in 2016, Knowledge Cubed brings together key technologies (e.g., machine learning, cloud, IoT, big data, mobile apps, cybersecurity, and digital contracts) to help clients better understand and optimize global real estate and human capital investments.

During the last 12 months, Savills expanded and signed new partnerships with key partners such as Matterport, CoStar, and CompStak to further invest in the best-in-class technology and data platform designed for corporate occupiers.

About Savills Inc.

As one of the world's leading property advisors, Savills services span the globe,with 39,000 experts working across 600 offices in the Americas, Europe, Asia Pacific, Africa and the Middle East. Sharply skilled and fiercely dedicated, the firm's integrated teams of consultants and brokers are experts in better real estate. With services in tenant representation, workforce and incentives strategy, workplace strategy and occupant experience, project management, and capital markets, Savills has elevated the potential of workplaces around the corner, and around the world, for 160 years and counting.

For more information, please visitSavills.usand follow us on LinkedIn, Twitter, Instagramand Facebook.

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