taylor
Unfolding Taylor's Approximations for Image Restoration
Deep learning provides a new avenue for image restoration, which demands a delicate balance between fine-grained details and high-level contextualized information during recovering the latent clear image. In practice, however, existing methods empirically construct encapsulated end-to-end mapping networks without deepening into the rationality, and neglect the intrinsic prior knowledge of restoration task. To solve the above problems, inspired by Taylor's Approximations, we unfold Taylor's Formula to construct a novel framework for image restoration. We find the main part and the derivative part of Taylor's Approximations take the same effect as the two competing goals of high-level contextualized information and spatial details of image restoration respectively. Specifically, our framework consists of two steps, which are correspondingly responsible for the mapping and derivative functions. The former first learns the high-level contextualized information and the later combines it with the degraded input to progressively recover local high-order spatial details. Our proposed framework is orthogonal to existing methods and thus can be easily integrated with them for further improvement, and extensive experiments demonstrate the effectiveness and scalability of our proposed framework.
Sam Altman Dismisses Elon Musk's Bid to Buy OpenAI in Letter to Staff
Sam Altman is leaving no room for doubt about his views on an Elon Musk-led bid to take control of OpenAI. In a letter to OpenAI staff Monday, the CEO put the words "bid" and "deal" in scare quotes and said the startup's board has no interest in the offer. "Our structure exists to ensure that no individual can take control of OpenAI," Altman wrote, according to two sources with knowledge of the letter. "Elon runs a competitive AI company, and his actions are not about OpenAI's mission or values." Altman has also told employees that OpenAI's board, which he sits on, has yet to receive an official offer from Musk and the other investors.
- Information Technology > Artificial Intelligence > Natural Language > Large Language Model (1.00)
- Information Technology > Artificial Intelligence > Natural Language > Chatbot (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning > Generative AI (1.00)
These 3 talking heads worked at Fox Sports and have something to say about Skip Bayless, Joy Taylor lawsuit
Reactions to the allegations in a lawsuit that longtime Fox Sports talk show host Skip Bayless sexually harassed his hairstylist and that FS1 host Joy Taylor had romantic relationships with two prominent co-workers are littering social media. It was no surprise that three of the most prominent voices in sports talk television -- all of whom previously worked at Fox Sports -- cleared their throats and let it fly. For Marcellus Wiley, a former NFL player who previously worked at FS1, the lawsuit confirmed what he already suspected. Former Fox Sports host Jason Whitlock congratulated himself for being wary of women in the network's makeup room, then went over the top with sexist comments about Taylor. And Stephen A. Smith, who pioneered debate sports TV with Bayless on ESPN's "First Take" from 2012-16, essentially became a character witness for Bayless while underscoring that the lawsuit should be taken seriously.
- Media > Television (1.00)
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- Information Technology > Artificial Intelligence > Natural Language > Chatbot (0.40)
- Information Technology > Communications (0.38)
Deepfake: Curbing A Prolific Phenomenon
The threat of deepfake content has become a prevalent issue since 2017, where a user started a viral phenomenon by combining machine learning software and AI to create inappropriate content with the faces of famous celebrities. Utilising a form of artificial intelligence called deep learning to manipulate and produce falsified pieces of content, deepfakes are the 21st century's answer to Photoshop. As the technology continues to develop and spread, deepfakes have started becoming a concern of the public. The World Intellectual Property Organisation states that deepfakes can cause problems such as violation of human rights, right of privacy and personal data protection rights. With this technology being relatively new, the public has not yet acquainted itself to the dangers of this technology.
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- Law (1.00)
- Information Technology > Security & Privacy (1.00)
Ben Taylor Joins Dataiku as Chief AI Strategist
NEW YORK, NY, Nov. 17, 2022 (GLOBE NEWSWIRE) -- Dataiku, the platform for Everyday AI, today announced Ben Taylor's appointment as its first Chief AI Strategist. Taylor, a visionary in the advancements of AI, machine learning, and data science, joins the company to help accelerate momentum as it continues to experience soaring demand amongst enterprise organizations and business users. "A simple truth we face is that AI will be part of every business, whether you like it or not. The only question is whether you want to be a leader or a laggard," said Taylor. "However, the technology itself is nothing without people asking the right questions and bringing what makes us intrinsically human to AI. "This is what makes Dataiku truly special - the company is not just about the technical aspects of its solid AI platform but is centered around collaboration and the people who create the types of jaw-dropping projects I hope to be a part of.
Rastreo muscular m\'ovil usando magnetomicrometr\'ia -- traducci\'on al espa\~nol del articulo "Untethered Muscle Tracking Using Magnetomicrometry" por el autor Cameron R. Taylor
Taylor, Cameron R., Yeon, Seong Ho, Clark, William H., Clarrissimeaux, Ellen G., O'Donnell, Mary Kate, Roberts, Thomas J., Herr, Hugh M.
Muscle tissue drives nearly all movement in the animal kingdom, providing power, mobility, and dexterity. Technologies for measuring muscle tissue motion, such as sonomicrometry, fluoromicrometry, and ultrasound, have significantly advanced our understanding of biomechanics. Yet, the field lacks the ability to monitor muscle tissue motion for animal behavior outside the lab. Towards addressing this issue, we previously introduced magnetomicrometry, a method that uses magnetic beads to wirelessly monitor muscle tissue length changes, and we validated magnetomicrometry via tightly-controlled in situ testing. In this study we validate the accuracy of magnetomicrometry against fluoromicrometry during untethered running in an in vivo turkey model. We demonstrate real-time muscle tissue length tracking of the freely-moving turkeys executing various motor activities, including ramp ascent and descent, vertical ascent and descent, and free roaming movement. Given the demonstrated capacity of magnetomicrometry to track muscle movement in untethered animals, we feel that this technique will enable new scientific explorations and an improved understanding of muscle function. -- -- El tejido muscular es el motor de casi todos los movimientos del reino animal, ya que proporciona fuerza, movilidad y destreza. Las tecnolog\'ias para medir el movimiento del tejido muscular, como la sonomicrometr\'ia, la fluoromicrometr\'ia y el ultrasonido, han avanzado considerablemente la comprensi\'on de la biomec\'anica. Sin embargo, este campo carece de la capacidad de rastrear el movimiento del tejido muscular en el comportamiento animal fuera del laboratorio. Para abordar este problema, presentamos previamente la magnetomicrometr\'ia, un m\'etodo que utiliza peque\~nos imanes para rastrear de forma inal\'ambrica los cambios de longitud del tejido muscular, y validamos la magnetomicrometr\'ia mediante pruebas estrechamente controladas in situ. En este estudio validamos la precisi\'on de la magnetomicrometr\'ia en comparaci\'on con la fluoromicrometr\'ia usando un modelo de pavo in vivo mientras corre libremente. Demostramos el rastreo en tiempo real de la longitud del tejido muscular de los pavos que se mueven libremente ejecutando varias actividades motoras, incluyendo el ascenso y el descenso en rampa, el ascenso y el descenso vertical, y el movimiento libre. Dada la capacidad demostrada de la magnetomicrometr\'ia para rastrear el movimiento muscular en animales en un contexto m\'ovil, creemos que esta t\'ecnica permitir\'a nuevas exploraciones cient\'ificas y una mejor comprensi\'on de la funci\'on muscular.
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- Information Technology > Artificial Intelligence > Robots (0.46)
- Information Technology > Communications > Networks (0.46)
The Future of Podcasting is AI
Roughly speaking, about 22,000 new podcasts are launched in a month. There are close to 2.5 million (more than 71 million episodes) in the Apple Podcasts directory right now, according to Podcast Industry Insights. And those are just the ones we know about. They're going direct to their listeners, selling premium content and having big success," says Andy Taylor, formerly of BBC Radio and founder of Cardiff-based R&D consultancy Bwlb. And that's to say nothing of the growing volume of podcast-like content, whether created by brands for promotion or event producers that want, for example, to make talks available on-demand. Every piece of content needs to be produced and distributed, whether by audio professionals or folks learning the craft. Therefore, the more they can automate large swaths of production, the more they can focus on the content. "The different places audio is being published have just exploded," explains Jonathan Wyner chief engineer at M Works Mastering and a professor at Berklee College of Music in Boston. "With all those contexts, there is a real motivation and imperative for creators to be more versatile." Not to mention, more productive and efficient. Artificial intelligence (AI) -- software that can automate tasks previously done by humans -- holds the key to handling the tsunami of podcast content. Not only can AI speed up production, it can make podcasts sound better and set the stage for the audio experiences of tomorrow. "AI basically helps take care of repetitive tasks to quicken the workflow of the podcaster," explains Manos Chourdakis, research engineer at Nomono, which develops AI-based podcasting tools. "For example, with AI, you don't have to listen to a whole podcast to find where someone said something wrong, then replace or remove it.
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- Information Technology > Artificial Intelligence (1.00)
Magnetic sensors track muscle length
A small, bead-like magnet used in a new approach to measuring muscle position. Using a simple set of magnets, MIT researchers have come up with a sophisticated way to monitor muscle movements, which they hope will make it easier for people with amputations to control their prosthetic limbs. In a new pair of papers, the researchers demonstrated the accuracy and safety of their magnet-based system, which can track the length of muscles during movement. The studies, performed in animals, offer hope that this strategy could be used to help people with prosthetic devices control them in a way that more closely mimics natural limb movement. "These recent results demonstrate that this tool can be used outside the lab to track muscle movement during natural activity, and they also suggest that the magnetic implants are stable and biocompatible and that they don't cause discomfort," says Cameron Taylor, an MIT research scientist and co-lead author of both papers.
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Unconventional Paths: Sneaky submarines and super surgeries
As a mechanical engineering graduate student, Alison Marsden studied how to make submarines more stealthy. Moving through the ocean, submarines make sounds that can reveal their location. While earning her PhD at Stanford University in the early 2000s, Marsden conducted U.S. Navy-funded research that used sophisticated computer modeling to optimize the shape of the submarines' hydrofoils, which work like airplane wings, generating lift and stabilizing the submarine underwater. Her aim: to minimize telltale churning sounds and enable the vessels to cruise subsurface, undetected. Marsden has always loved the science of fluid mechanics and she enjoyed the technical aspects of her submarine research, but she knew national defense work would not sustain her interest long-term.
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Pushing Buttons: The perfect game for the end of days
Where I live, the leaves are falling in droves and the Glasgow rain is turning them into slippery mulch that makes every trip to the shops an obstacle course. But one hallmark of autumn is missing: a promising run of new video games to cosy up with as the nights lengthen. Usually this is when the end-of-year rush starts, but not in 2022. It's as if the video games industry is giving us a little extra time to watch the absolute circus that UK politics has become in recent months. The actual reasons for this relative drought are manifold, boiling down to the delayed effects of Covid-era development and, well, money.
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