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Cropping an Image Using OpenCV
Image cropping is a fundamental operation in image processing that involves selecting a specific region of interest (ROI) from an image and discarding the rest. This technique is widely used in various applications, such as object detection, face recognition, and image enhancement. OpenCV, a powerful open-source computer vision library, provides efficient methods for cropping images… →
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JTBD (Jobs To Be Done) – Работа, которую клиент хочет выполнить. Суть в том, чтобы понимать не просто функции продукта, а реальн…
JTBD (Jobs To Be Done) – Работа, которую клиент хочет выполнить. Суть в том, чтобы понимать не просто функции продукта, а реальные задачи, которые он должен решать для клиента. Как анализировать потребности клиентов для разработки продуктов, которые решают их конкретные проблемы. #Менеджмент #Маркетинг #Продукт #Продуктовыймененджмент #ИИМаркетинг →
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Institutional isomorphism – Институциональный изоморфизм. Когда компании начинают копировать друг друга, чтобы соответствовать о…
Institutional isomorphism – Институциональный изоморфизм. Когда компании начинают копировать друг друга, чтобы соответствовать общим стандартам и «трендам» в отрасли. Как избежать слепого следования за конкурентами и сделать продукт уникальным. #Продуктовыймененджмент #Продукт #Менеджмент #ИИМаркетинг #ИИ →
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DeepSeek AI Unveils DeepSeek-V3-0324: Blazing Fast Performance on Mac Studio, Heating Up the Competition with OpenAI…
DeepSeek AI Unveils DeepSeek-V3-0324: Blazing Fast Performance on Mac Studio, Heating Up the Competition with OpenAI Artificial intelligence (AI) has made significant strides in recent years, yet challenges persist in achieving efficient, cost-effective, and high-performance models. Developing large language models (LLMs) often requires substantial computational resources and financial investment, which can be prohibitive for many… →
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Understanding and Mitigating Failure Modes in LLM-Based Multi-Agent Systems
Understanding and Mitigating Failure Modes in LLM-Based Multi-Agent Systems Despite the growing interest in Multi-Agent Systems (MAS), where multiple LLM-based agents collaborate on complex tasks, their performance gains remain limited compared to single-agent frameworks. While MASs are explored in software engineering, drug discovery, and scientific simulations, they often struggle with coordination inefficiencies, leading to high… →
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Accenture AI vs IBM Watsonx: Improve Product Analytics and Cut Cloud Spend
Accenture Applied Intelligence enhances decision-making in retail and logistics via predictive analytics Reducing cloud spend by optimizing resource usage cuts operational expenses Equivalent products from the list include IBM Watsonx or Microsoft Azure AI →
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A Machine Learning Approach to Predict Cognitive Decline in Alzheimer Disease Clinical Trials
BACKGROUND AND OBJECTIVES: Among the participants of Alzheimer disease (AD) treatment trials, 40% do not show cognitive decline over 80 weeks of follow-up. Identifying and excluding these individuals can increase power to detect treatment effects. We aimed to develop machine learning-based predictive models to identify persons unlikely to show decline on placebo treatment over 80… →