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¿Está pensando en crear sus propios agentes de IA? No lo haga, dicen los asesores
La inteligencia artificial (IA) agéntica, una forma de tecnología diseñada para ejecutar funciones específicas dentro de una organización sin intervención humana, está ganando adeptos a medida que las empresas buscan automatizar los flujos de trabajo empresariales, aumentar el rendimiento de los trabajadores humanos y obtener valor de la IA generativa. La firma de análisis Forrester…
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The Multiple Ways Climate Change Threatens to Make Migraines Worse
Migraine sufferers are often triggered by the weather, and research suggests warming temperatures and more extreme weather events worsen attacks.
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Thoughts control Alexa while OpenAI’s o1-preview ‘excels’
It was a somewhat practical week for the Innovation Index, with advancements in accessibility, reasoning, and digital protections for teens topping the leaderboard.
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고객 충성도를 만드는 4가지 방법은?
이는 최근 발간된 ‘2017 마케터 관점을 본 고객 충성도 보고서(For love or money 2017: Customer Loyalty – the marketers’ point of view)’의 주요 내용이다. 이 보고서에서 브랜드/비즈니스에 대한 고객 충성도를 마케터가 어떻게 바라보는지를 파악했다. 이 보고서를 공동으로 작성한 포인트 오브 로열티(Point of Loyalty)의 CEO인 애덤 포스너에 따르면, 충성도의 정의가 무엇인지에 관해 마케터와 소비자의 견해가 얼마나…
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Deepfakes break through as business threat
Deepfakes targeting enterprise financial data used to be a hypothetical concern, but that’s no longer the case, as criminal deepfakers now target more than a quarter of all companies, according to a recent survey. About 15% of executives say cybercriminals have targeted their companies’ financial or accounting data using deepfakes at least once in the past year,…
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Efficient Long-Term Prediction of Chaotic Systems Using Physics-Informed Neural Operators: Overcoming Limitations of Traditional Closure Models
Predicting the long-term behavior of chaotic systems, such as those used in climate modeling, is essential but requires significant computational resources due to the need for high-resolution spatiotemporal grids. One alternative to fully-resolved simulations (FRS) is to use coarse grids, with closure models correcting for errors by approximating the missing fine-scale information. While machine learning…
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Tubos Reunidos commits to total digital production
Over its more than 130 years, Tubos Reunidos has gone through various phases of modernization and expansion, including incorporating new technologies and more efficient production processes to stay competitive in a fast-paced market. The need to modernize has only intensified over the last decade. Today, producing seamless steel tubes for the energy and industrial sectors is…
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6 ways to prepare for a difficult conversation with a direct report
IT leaders face many challenging tasks, but few are more daunting than engaging with a direct report who has, in one way or another, become unreliable or neglectful. There are various reasons why a manager or executive may need to have a frank conversation with a direct report, says Orla Daly, CIO at training services…
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How to Switch iPhones or iPads and Transfer Data (2024)
Everything you need to know to successfully transfer your contacts, music, photos, and apps from one iOS device to another.
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Can We Optimize Large Language Models Faster Than Adam? This AI Paper from Harvard Unveils SOAP to Improve and Stabilize Shampoo in Deep Learning
Efficient optimization of large-scale deep learning models remains a significant challenge as the cost of training large language models (LLMs) continues to escalate. As models grow larger, the computational burden and time required for training increase substantially, creating a demand for more efficient optimizers that can reduce both training time and resources. This challenge is…