ARTIFICIAL INTELLIGENCE NEWS SOURCE

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Sweet potato quality assessment is crucial for producers and processors because features influence texture and taste, consumer preferences, and viability for different purposes. A new study from the University of Illinois Urbana-Champaign explores the use of hyperspectral imaging and explainable artificial intelligence (AI) to assess sweet potato attributes.

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AI is a valuable asset, so long as it’s used properly, though customer service organizations shouldn’t rely on it exclusively to guide their strategies, according to new research from Binghamton Univesity, State University of New York.

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When one study says a treatment works, but another says it doesn’t (or worse), how are clinicians supposed to determine what they should do? A Penn Medicine team recently received funding from PCORI to build a guide system for these situations

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Scientists have developed a new method for enhancing X-ray microscopy experiments by allowing researchers to adjust experiments based on data that is being collected on the fly, potentially paving the way for more autonomous discovery.

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A recent study designed and implemented by investigators at Cedars-Sinai found that artificial intelligence (AI) can accurately evaluate cardiovascular risk during a routine chest computed tomography (CT) scan without contrast.

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The Wilkes Climate Launch Prize is one of the largest university-affiliate climate awards in the world and is geared to spur innovation and breakthroughs. The prize is specifically calibrated to support unconventional or first-of-a-kind projects that often have difficulty getting funding.

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MSBAI, an Air Force Techstars 2020 company, today announced the successful completion of its AFWERX Phase 2 SBIR contract, titled GURU Owns the Modeling and Simulation Tech Stack.

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With more than 200 types of cancer and every cancer individually unique, ongoing efforts to develop precision oncology treatments remain daunting. In a new study published in the journal Nature Cancer, first author Sanju Sinha, Ph.D., at Sanford Burnham Prebys, with senior authors Eytan Ruppin, M.D., Ph.D., and Alejandro Schaffer, Ph.D., at the National Cancer Institute—and colleagues—describe a first-of-its-kind computational pipeline to systematically predict patient response to cancer drugs at single-cell resolution.

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UC San Diego School of Medicine study shows that AI enhances physician-patient communication.

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Gracias a las imágenes que podrán ser obtenidas con seis filtros distintos montados en la cámara más grande construida para la astronomía, el Observatorio Vera C. Rubin estará en condiciones de descubrir los efectos de la interacción de la materia oscura con corrientes estelares nunca antes vistos en la Vía Láctea.

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Digital Science solutions metaphacts and Dimensions announce the launch of the Dimensions Knowledge Graph, a large ready-made knowledge graph powering AI solutions in the pharmaceutical and life sciences industries.

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Smith is a nationally recognized academic radiologist with expertise in body and oncologic imaging, clinical trials and imaging research and the application of artificial intelligence (AI) in imaging and medicine.

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Pesquisadores da Mayo Clinic criaram recentemente uma nova classe de algoritmos com inteligência artificial (IA) chamada IA orientada por hipóteses; se trata de um caminho alternativo dos modelos tradicionais de IA que aprendem apenas com dados.

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Investigadores de Mayo Clinic crearon recientemente una nueva clase de algoritmos con inteligencia artificial (IA) llamada IA impulsada por hipótesis; se trata de una vía alternativa a los modelos tradicionales de IA que aprenden solo con datos.

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If artificial intelligence (AI) was a car, data would be the fuel. But what if there was no way to ensure that fuel wasn’t full of waste? How would this fuel be filtered, and how would that information reach consumers? Ran Jin, associate professor in the Grado Department of Industrial and Systems Engineering, is determined to fuel AI models in the Manufacturing Industrial Internet with high-quality data.

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A new Bar-Ilan University study has achieved a milestone in the realm of artificial intelligence (AI) by addressing a fundamental question: Can deep learning architectures achieve greatly above-average confidence for a significant portion of inputs while maintaining overall average confidence?