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Thyronet-x4-genesis:-an-advanced-deep-learning-model-for-auxiliary-diagnosis-of-thyroid-…

ThyroNet-X4 genesis: an advanced deep learning model for auxiliary diagnosis of thyroid …

Introduction Thyroid nodules are defined as space-occupying lesions within the thyroid gland that can be detected through imaging studies, differentiated from the surrounding thyroid tissue. These nodules can be benign or malignant, and according to recent epidemiological studies, up to 60% of the population have thyroid nodules1, with a malignancy rate of approximately 1–5%2. Further
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Can-ai-and-machine-learning-save-dei?-–-built-in

Can AI and Machine Learning Save DEI? – Built In

As dozens of major organizations, including the United States government, announce their intentions to weaken or dismantle diversity, equity and inclusion (DEI) , is it time to modernize the practice of DEI? Like many American historical markers, when it comes to racial, political and social justice issues within the workplace, pro- and anti-DEI groups form
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Career-connect-spotlight-with-futurelab+-featuring-–-discovery-education

Career Connect Spotlight with Futurelab+ featuring – Discovery Education

Richard Bonneau Vice President of Machine Learning for Drug Discovery, Genentech Computational Sciences I combine biophysics and computational methods to build new approaches to biomolecular design and drug discovery. I have a background in computational structural biology and a current focus on developing machine learning methods to power drug discovery. I have also led teams
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Lessons-for-investors-from-winners-and-losers-of-deepseek-ai-stock-selloff-|-morningstar

Lessons for Investors from Winners and Losers of DeepSeek AI Stock Selloff | Morningstar

As R1, DeepSeek’s latest artificial intelligence model, sent shock waves through global stock markets, exchange-traded funds focused on AI stocks showed significant divergence in performance, underscoring the importance of understanding a thematic fund’s strategy. Investors may not realize going in, but funds nominally tracking the same theme can perform very differently. In this case, technological
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Core-ai-technology-and-the-foundation-of-future-innovations:-get-gartner-report-–-sonatype

Core AI technology and the foundation of future innovations: Get Gartner® report – Sonatype

Artificial intelligence (AI) is not just evolving — it is redefining software development across industries. From automating processes to optimizing decision-making, AI is accelerating the pace of innovation while raising critical challenges around scalability, security, and sustainability. Generative AI has taken center stage in this transformation, pushing the boundaries of automation, intelligence, and adaptability. By
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Zuckerberg:-‘glasses-are-the-ideal-form-factor-for-an-ai-device’-–-rcr-wireless-news

Zuckerberg: ‘Glasses are the ideal form factor for an AI device’ – RCR Wireless News

The Meta CEO told investors that the Ray-Ban Meta AI glasses “are a real hit” First things first, AI infrastructure is a continuum that spans cloud, datacenter, edge and devices. Distributing workloads improves latency, bolsters privacy and, generally speaking, makes the economics of the whole thing work. In this context, devices and edge infrastructure–things like
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Mixed-precision-training-in-ai:-everything-you-need-to-know-|-techtarget

Mixed-precision training in AI: Everything you need to know | TechTarget

In machine learning and AI, training is a mathematical process: Algorithms perform complex math operations on data to identify patterns and teach the model to make decisions. These calculations can be computationally expensive, making training time-consuming and costly. For projects that involve large data sets requiring billions of complex calculations, any strategies that reduce training
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