This article is a follow-up to my piece last week, Data Sets, Fraud, and the Future. Let's say a minor religion emerges in Ohio. Its basis is a story about a miraculous tree growing in an arid desert. The only problem is, if the members of this Church bothered to check, they would discover the exact place where the tree supposedly grew was no desert. Instead, it was an ocean.
Lee's Famous Recipe Chicken, a fast-food chain in Ohio, hardly seems an obvious venue for cutting-edge artificial intelligence. But the company's drive-thrus are showcasing technology that reveals how the Covid-19 pandemic is accelerating the creep of automation into some workplaces. Unable to find enough workers, Chuck Cooper, CEO of Lee's Famous Recipe Chicken, installed an automated voice system in many locations to take orders. The system, developed by Intel and Hi Auto, a voice recognition firm, never fails to upsell customers on fries or a drink, which Cooper says has boosted sales. At outlets with the voice system, there's no longer a need for a person to take orders at the drive-thru window.
Interstitial fibrosis and tubular atrophy (IFTA) on a renal biopsy are strong indicators of disease chronicity and prognosis. Techniques that are typically used for IFTA grading remain manual, leading to variability among pathologists. Accurate IFTA estimation using computational techniques can reduce this variability and provide quantitative assessment. Using trichrome-stained whole slide images (WSIs) processed from human renal biopsies, we developed a deep learning framework that captured finer pathological structures at high resolution and overall context at the WSI-level to predict IFTA grade. WSIs (n 67) were obtained from The Ohio State University Wexner Medical Center (OSUWMC).
Cuyahoga Falls, Ohio, May 13, 2021 (GLOBE NEWSWIRE) -- Bespoke AI-driven predictive models have traditionally been expensive and normally have taken months to create and deploy, making them the exclusive domain of only the largest financial institutions. Community banks and credit unions have been at a major competitive disadvantage in using predictive analytics and AI to drive business decisions. Segmint, the global leader in transaction cleansing and analytics for financial institutions, announced the launch of its industry leading AI Platform, a cloud-based and always-on predictive modeling engine which can build and deploy custom predictive models for any financial institution within two weeks. Segmint's AI Platform delivers predictive models at incredible speed and scale, using insights that describe the full universe of customer data. The AI Platform boasts seamless data integration with multiple cores where data flows into the models on a daily basis, continuously updating the insights.
Watching meaningful movies such as Up or Slumdog Millionaire can help us feel more prepared to deal with challenges and want to be a better person, a new study shows. Ohio State University researchers created two lists of films made after 1985 with high viewer ratings - one with meaningful and one with less meaningful movies. They then had 1,098 volunteers watch either the meaningful or less meaningful list of movies, before filling in a survey on their thoughts and reaction to the films. Watching meaningful films - those that we find moving and poignant - can make us feel more prepared to deal with life's challenges, the authors found. The team say this could explain why people turn to movies that make them both sad and happy and explore difficult subjects they may not always find uplifting.
Servers run inside the Facebook New Albany Data Center on Thursday, February 6, 2020 in New Albany, Ohio. Artificial intelligence (AI) is causing significant structural changes to global competition and economic growth. AI may generate trillions of dollars in new value over the next decade, but this value will not be easily captured or evenly distributed across nations. Much of it will depend on how governments invest in the underlying computational infrastructure that makes AI possible. Yet early signs point to a blind spot--a lack of understanding, measurement, and planning.
No one in Washington seems to know what the story is, or even where to set the dateline. Is it the culture war over masks, in the Florida sunshine? Is it the crisis along the southern border? CNN's prime-time viewership is down thirty-seven per cent, MSNBC's numbers are not much better, and even Fox's are in decline. The morning political-newsletter writers, and many of the rest of us, have been reduced to replaying the dramas of the Trump Administration (Why is John Boehner backing an Ohio congressman whom Trump opposes?) or even the Obama years (How much hold does Larry Summers have on the Democratic Party?). For a moment this week the story was whether one of the Bidens' German shepherds, Major, has a biting problem.
The Cleveland Clinic will rely on state-of-the-art IBM technology to support its latest public health project. High-performance cloud computing, artificial intelligence, and a couple of quantum computers: IBM is going all-in with a freshly signed, decade-long partnership that will see Big Blue provide the technology infrastructure for a new research center dedicated to public health threats such as the COVID-19 pandemic. The Ohio-based Cleveland Clinic, a non-profit institution that combines clinical and hospital care with medical research and education, will use state-of-the-art IBM technology to support its latest project: a global center for pathogen research and human health. Supported by a $500 million investment, the new center will be dedicated to the study of viral pathogens, virus-induced diseases, genomics, immunology and immunotherapies. To assist researchers' work preparing for and protecting against emerging pathogens, IBM has designed a "Discovery Accelerator" – contributing the company's latest capabilities to better support data-based scientific work and fast-track the discovery of new treatments.
When members of the scientific community gathered at the AAAS Annual Meeting in February, they did so in front of laptops and tablets from their home offices and dining tables. They presented over Zoom, submitted questions via chat, and caught up with colleagues over social media. The 2021 AAAS Annual Meeting was unlike any other in the meeting's 187-year history, but the fully virtual setting did not dampen enthusiasm for sharing science in keeping with the “Understanding Diverse Ecosystems” meeting theme. Dozens of scientific sessions shared new research in areas ranging from microbiomes to space travel. More than 40 workshops offered attendees the opportunity to discuss strategies for working in the ecosystems of academia and science policy. Plenary and topical lecturers covered timely topics, including Ruha Benjamin on how technology can deepen inequities, Anthony Fauci on the next steps for COVID-19 response, Mary Gray on research ethics, and Yalidy Matos on immigration policies. “The quality of the speakers was absolutely undeniable, and the diversity of the speakers—across gender, race, region—was just extraordinary,” said Sudip Parikh, chief executive officer of AAAS and executive publisher of the Science family of journals. “That is what our vision of the world looks like in a place where science is done with creativity and innovation and excellence.” Selecting a diverse meeting program is grounded in AAAS's values, but it is not without concerted effort, according to Claire Fraser. Fraser, who served as AAAS president through February and now serves as chair of the AAAS Board of Directors, selected the meeting theme and led the AAAS Meeting Scientific Program Committee, which oversees selection of the meeting's speakers. “The diversity doesn't happen by accident. I think it reflects the very strong commitment on the part of the Scientific Program Committee to make sure that not only is the science presented timely and excellent, but the diversity of speakers and participants is as broad as it possibly can be,” said Fraser, director of the Institute for Genome Sciences at the University of Maryland School of Medicine. Diversity isn't an afterthought—it's a deliberate part of the very first review of potential scientific sessions, according to Andrew Black, chief of staff and chief public affairs officer. When hundreds of volunteer reviewers evaluate the quality of the submissions before sending the best for consideration by the Scientific Program Committee, they are also looking for diversity across many dimensions, Black said. Among those dimensions are diversity of scientific discipline—befitting AAAS's multidisciplinary membership—but also gender, race and ethnicity, geographic diversity, career stage, and type of institution, including all types and sizes of universities, industry, and government. “Who do you see, who do you hear, and what kind of voices are in dialogue with each other? That's part of our assessment process,” said Agustín Fuentes, professor of anthropology at Princeton University and a member of the Scientific Program Committee. The review process offers opportunities for applicants to diversify their sessions. Applicants are often encouraged to look beyond their own networks to add a range of voices to their presentation to best communicate their ideas to the broader scientific community, Fuentes said. “We need to think very carefully in this moment in time about how do we not only redress past biases and discriminatory practices but how do we create a space, a voice, and a suite of presenters that is very inviting to a diverse audience,” Fuentes said. Added Fraser, “What you end up with is even better because you have such broad perspectives represented.” The committee also emphasized the importance of ensuring that a diverse group of decision-makers have a seat at the table. Members of the Scientific Program Committee, who are nominated from across AAAS and its 26 disciplinary sections and approved by the AAAS Board, represent a broad range of groups and perspectives, Fraser said. “What I firmly believe is that you can't come up with a diverse program like we had this year and like we've had in previous years without that diversity in the program committee,” Fraser said. Commitment to diversity across many axes is part of AAAS Annual Meeting history. In the 1950s, AAAS refused to hold meetings in the segregated South. In 1976, under one of AAAS's first female presidents, Margaret Mead, the Annual Meeting was fully accessible to people with disabilities for the first time. According to the AAAS Project on Science, Technology, and Disability, wheelchair ramps were added to the conference hall, programs were made accessible for hearing-impaired and visually impaired attendees, and Mead's presidential address was simultaneously interpreted in sign language. In 1978, AAAS's Board of Directors voted to move the following year's Annual Meeting out of Chicago because Illinois had not ratified the Equal Rights Amendment. In 1993, AAAS moved its 1999 meeting from Denver after Colorado voters adopted a constitutional amendment to deny residents protection from discrimination based on sexual orientation. Leaders at AAAS note that there is always more work to be done in the present and future—both at the Annual Meeting and year-round. AAAS continues to focus on its own systemic transformation in areas of diversity, equity, and inclusion and on the breadth of initiatives in its new Inclusive STEM Ecosystems for Equity & Diversity program, all to ensure that the scientific enterprise reflects the full range of talent. That goal resonated with many 2021 AAAS Annual Meeting speakers, too. A more diverse group of scientists creating artificial intelligence systems can improve those systems, said Ayanna Howard, a roboticist who leads The Ohio State University's College of Engineering, during her topical lecture, “Demystifying AI Through the Lens of Fairness and Bias.” Said Howard, “We as people are diverse and we're different and it makes us unique and beautiful, and our AI systems should be designed in such a way.” Nalini Nadkarni, a University of Utah biologist who delivered a topical lecture on “Forests, the Earth, and Ourselves: Understanding Dynamic Systems Through an Interdisciplinary Lens,” shared how she reaches young girls to let them know that science—and her own scientific specialty—is a space where they can thrive. She and her students created and distributed “Treetop Barbie,” dressing a doll in fieldwork clothes and creating a doll-sized booklet about canopy plants. The Annual Meeting offers a chance to show that science is best when it is for everyone, regardless of background or perspective, whether they're a kid or just a kid at heart. Said Parikh, “The AAAS Annual Meeting is where the pages of Science literally come alive. It's a place where scientists, no matter what discipline or industry they decided to pursue, can pull back and just fall in love with the idea of science again—like we did when we were kids.”
Otologic Technologies, Inc., a Wisconsin-based health-tech startup developing an artificial intelligence (AI) system to improve treatment of ear disease, announced the issuance of US Patent No. 10,932,662, "System and Method of Otoscopy Image Analysis to Diagnose Ear Pathology." The patent explains a novel artificial intelligence system to help doctors better diagnose ear disease. "One of the biggest challenges in diagnosing ear disease is the difficult nature of an ear exam," said Aaron Moberly, MD, associate professor of otolaryngology at The Ohio State University and one of the inventors of the technology. "Even experienced doctors can have trouble with a live ear exam, as patients are usually uncomfortable and the view can be obstructed. In 2015, Dr. Moberly began an ongoing collaboration with Metin Gurcan, PhD, an artificial intelligence (AI) expert at The Ohio State University.