Mon.Sep 16, 2024

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How to Optimize Data Warehouse with STAR Schema?

Analytics Vidhya

Introduction The STAR schema is an efficient database design used in data warehousing and business intelligence. It organizes data into a central fact table linked to surrounding dimension tables. This star-like structure simplifies complex queries, enhances performance, and is ideal for large datasets requiring fast retrieval and simplified joins. A major advantage of the STAR […] The post How to Optimize Data Warehouse with STAR Schema?

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Walmart and Amazon drive retail transformation with AI

AI News

Walmart and Amazon are harnessing AI to drive retail transformation with new consumer experiences and enhanced operational efficiency. According to analytics firm GlobalData , Walmart is focusing on augmented reality and AI-enhanced store management. Amazon, meanwhile, is leading advancements in customer personalisation and autonomous systems. Kiran Raj, Practice Head of Disruptive Tech at GlobalData, notes: “Walmart and Amazon are no longer competing for market share alone.

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Comprehensive Guide on Python Namespaces and Variable Scopes

Analytics Vidhya

Introduction Understanding the namespaces, scopes, and behavior of variables in Python functions is crucial for writing efficiently and avoiding runtime errors or exceptions. In this article, we’ll delve into various aspects of namespaces and Python variable scopes and learn how Python manages local, global, and enclosing variables in detail. We already discussed Python functions in […] The post Comprehensive Guide on Python Namespaces and Variable Scopes appeared first on Analytics

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Introducing OpenAI o1: A Leap in AI’s Reasoning Abilities for Advanced Problem Solving

Unite.AI

OpenAI's new model, OpenAI o1 or Strawberry, represents a significant advancement in Artificial Intelligence. It builds on the legacy of previous models, such as OpenAI's GPT series, and introduces enhanced reasoning abilities that deepen problem-solving across various fields, such as science, coding, and mathematics. Unlike its predecessors, which primarily excelled in processing and generating text, the o1 model can investigate complex challenges more deeply.

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Don't Let AI Pass You By: The New Era of Personalized Sales Coaching & Development

Speaker: Brendan Sweeney, VP of Sales & Devyn Blume, Sr. Account Executive

Are you curious about how artificial intelligence is reshaping sales coaching, learning, and development? Join Brendan Sweeney and Devyn Blume of Allego for an engaging new webinar exploring AI's transformative role in sales coaching and performance improvement! Brendan and Devyn will share actionable insights and strategies for integrating AI into coaching and development - ensuring personalized, effective, and scalable training!

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Stanford Researchers Introduce EntiGraph: A New Machine Learning Method for Generating Synthetic Data to Improve Language Model Performance in Specialized Domains

Marktechpost

Artificial intelligence (AI) has made significant strides in recent years, especially with the development of large-scale language models. These models, trained on massive datasets like internet text, have shown impressive abilities in knowledge-based tasks such as answering questions, summarizing content, and understanding instructions. However, despite their success, these models need help regarding specialized domains where data is scarce or highly specific.

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Google DeepMind Researchers Propose Human-Centric Alignment for Vision Models to Boost AI Generalization and Interpretation

Marktechpost

Deep learning has made significant strides in artificial intelligence, particularly in natural language processing and computer vision. However, even the most advanced systems often fail in ways that humans would not, highlighting a critical gap between artificial and human intelligence. This discrepancy has reignited debates about whether neural networks possess the essential components of human cognition.

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Field Test: Nikon Z 6 III and Nikon Nikkor Z 28-400mm f4/8 Zoom

Extreme Tech

The new Z 6 III is less than half the price of a Z 9, but it offers many of the same features with a few twists of its own. We tested it paired with Nikon's new 28-400mm Z-series superzoom.

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FLUX.1-dev-LoRA-AntiBlur Released by Shakker AI Team: A Breakthrough in Image Generation with Enhanced Depth of Field and Superior Clarity

Marktechpost

The release of FLUX.1-dev-LoRA-AntiBlur by the Shakker AI Team marks a significant advancement in image generation technologies. This new functional LoRA (Low-Rank Adaptation), developed and trained specifically on FLUX.1-dev by Vadim Fedenko , brings an innovative solution to the challenge of maintaining image quality while enhancing depth of field (DoF), effectively reducing blur in generated images.

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Conozca 5 maneras en las que la IA está marcando la diferencia para las telcos

SAS Software

El sector de telecomunicaciones en Colombia y en el mundo está en un constante crecimiento y evolución. Con ello, esta industria no es ajena al avance del uso de datos y la puesta en marcha de la inteligencia artificial y la analítica para optimizar sus procesos y lograr grandes objetivos. [.] The post Conozca 5 maneras en las que la IA está marcando la diferencia para las telcos appeared first on SAS Blogs.

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How To Select the Right Software for Innovation Management

Finding the right innovation management software is like picking a racing bike—it's essential to consider your unique needs rather than just flashy features. This oversight can stall your innovation efforts. Download now to explore key considerations for success!

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Integrating Neural Systems for Visual Perception: The Role of Ventral Temporal Cortex VTC and Medial Temporal Cortex MTC in Rapid and Complex Object Recognition

Marktechpost

Human and primate perception occurs across multiple timescales, with some visual attributes identified in under 200ms, supported by the ventral temporal cortex (VTC). However, more complex visual inferences, such as recognizing novel objects, require additional time and multiple glances. The high-acuity fovea and frequent gaze shifts help compose object representations.

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The Balancing Act of Machine Learning: Bias-Variance Tradeoff

Towards AI

Author(s): Souradip Pal Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Once upon a time, in the world of machine learning, data scientists faced a constant challenge: finding the balance between a model that’s too simple and one that’s too complex. This is known as the Bias-Variance Tradeoff, and it’s the key to building models that can make accurate predictions without overfitting or underfitting.

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Top Reinforcement Learning Courses

Marktechpost

Reinforcement learning (RL) enables machines to learn from their actions and make decisions through trial and error, similar to how humans learn. It’s the foundation of AI systems that can solve complex tasks, such as playing games or controlling robots, without being explicitly programmed. Learning RL is valuable because it opens doors to building smarter, autonomous systems and advances our understanding of AI.

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How to Create a Medical Agent / RAG System.

Towards AI

Last Updated on September 17, 2024 by Editorial Team Author(s): Pere Martra Originally published on Towards AI. Learn how to build a ReAct agent powered by a RAG system using LangChain, ChromaDB, and OpenAI, with a user-friendly Gradio interface. This member-only story is on us. Upgrade to access all of Medium. This article is based on content from my book “Large Language Models Projects: Apply and Implement Strategies for Large Language Models” (Apress) and a free GitHub course about LLMs.

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The New Frontier: A Guide to Monetizing AI Offerings

Speaker: Michael Mansard and Katherine Shealy

Generative AI is no longer just an exciting technological advancement––it’s a seismic shift in the SaaS landscape. Companies today are grappling with how to not only integrate AI into their products but how to do so in a way that makes financial sense. With the cost of developing AI capabilities growing, finding a flexible monetization strategy has become mission critical.

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Intel Is Offering Full Refunds for 'Faulty' Raptor Lake CPUs, Upgrading Others

Extreme Tech

The company's RMA policy seems to have loosened up quite a bit recently.

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Approaches Used by State-of-the-Art Vision-Language Models for Handling High-Resolution Images

Towards AI

Last Updated on September 17, 2024 by Editorial Team Author(s): Duci Nguyen Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Have you ever failed to ask a Vision-Language Model (VLM) to search for specific objects or thoroughly explain details about a high-resolution image? Image by V* Visual Search paper When I studied about multimodal large language models (MLLMs), I face a significant challenge: these models depend heavily on pre-trained vi

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Apple's AirPods Pro 2 Receive FDA's First-Ever OTC Hearing Aid Approval

Extreme Tech

The $250 Bluetooth earbuds will begin to provide software-enabled hearing assistance this fall.

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I used AI to Prioritize My Goals

Towards AI

Last Updated on September 17, 2024 by Editorial Team Author(s): Nizamuddin Siddiqui Originally published on Towards AI. Sometimes we think it’s clear but it’s not This member-only story is on us. Upgrade to access all of Medium. Photo by Ronnie Overgoor on Unsplash All of us have to achieve multiple goals whether personal or professional but it’s hard to prioritize them. 1st-things-1st is a prioritization AI tool that can help you prioritize your goals and many other things in minutes.

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How to Master Product Portfolio Management

Pursuing product portfolio management excellence empowers organizations to unlock the full potential of their offerings. This comprehensive guide unveils 10 essential keys that serve as the building blocks for success.

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Webb Telescope Explores Stellar Nursery at the Edge of Our Galaxy

Extreme Tech

The Extreme Outer Galaxy has an unusual composition and lots of star formation.

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Developing a powerful AI summarizer and Chatbot SaaS

Towards AI

Last Updated on September 17, 2024 by Editorial Team Author(s): Eivind Kjosbakken Originally published on Towards AI. This article discusses improvements to my SaaS application that allows users to summarize and chat with their online content This member-only story is on us. Upgrade to access all of Medium. Learn how I developed an AI summarizer and chatbot SaaS with this tutorial.

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Product Walk Through: Zuva’s New Contract Review AI – Analyze

Artificial Lawyer

This week’s AL TV Product Walk Through is with Zuva and focuses on its new contract review AI capability: Analyze.

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Building Reflection-Gemma-2–2b

Towards AI

Last Updated on September 17, 2024 by Editorial Team Author(s): Arthur Lagacherie Originally published on Towards AI. image original from google blog mofied with Adobe Firefly In the world of artificial intelligence, the ability of models to think and correct their mistakes is crucial. This article explores how Gemma 2–2b, can learn to reflect and improve its problem-solving skills.

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Building Your BI Strategy: How to Choose a Solution That Scales and Delivers

Speaker: Evelyn Chou

Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.

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Two ways to specify how SAS displays missing values

SAS Software

In statistical tables in SAS, a dot (.) represents a numerical missing value. Although a dot is the default symbol in SAS, other languages use other symbols. The R language prints the symbol NA, which stands for "not available." The MATLAB language uses NaN ("Not a Number"). In Python, many [.] The post Two ways to specify how SAS displays missing values appeared first on SAS Blogs.

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TravelAgent: Revolutionizing Personalized Travel Planning Through AI-Driven Itineraries with Real-Time Data, Dynamic Constraints, and Comprehensive User Preferences

Marktechpost

With the surge in global tourism, the demand for AI-driven travel assistants is rapidly growing. These systems are expected to generate practical and highly customized itineraries to individual preferences, including dynamic factors such as real-time data and budget constraints. The role of AI in this area is to improve the efficiency of the planning process and personalize travel experiences by incorporating user-specific needs and preferences.

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Google's New $1,800 Foldable Fails the Infamous Bend Test

Extreme Tech

Don't fold your expensive foldable the wrong way.

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Rethinking LLM Training: The Promise of Inverse Reinforcement Learning Techniques

Marktechpost

Large language models (LLMs) have gained significant attention in the field of artificial intelligence, primarily due to their ability to imitate human knowledge through extensive datasets. The current methodologies for training these models heavily rely on imitation learning, particularly next token prediction using maximum likelihood estimation (MLE) during pretraining and supervised fine-tuning phases.

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11 KPIs for Measuring Innovation Success

Measuring innovation success is critical yet challenging for organizations, often leading to confusion over which KPIs to use. Many rely on inappropriate metrics borrowed from other departments, wasting resources and overlooking valuable opportunities. This guide outlines why innovation metrics are hard to track and offers a framework for creating effective KPIs.

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Using social determinants of health to combat cancer disparities

SAS Software

The health care community is recognizing the importance of addressing cancer not just as a biological disease but as a multifaceted issue influenced by various social, environmental and economic factors. By incorporating social determinants of health (SDOH) into risk stratification models and utilizing trustworthy AI to eliminate bias, health care providers can [.

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OneEdit: A Neural-Symbolic Collaborative Knowledge Editing System for Seamless Integration and Conflict Resolution in Knowledge Graphs and Large Language Models

Marktechpost

Artificial Intelligence (AI) has long been focused on developing systems that can store and manage vast amounts of information and update that knowledge efficiently. Traditionally, symbolic systems such as Knowledge Graphs (KGs) have been used for knowledge representation, offering accuracy and clarity. These graphs map entities and their relationships in a structured form, which is useful for applications like reasoning, information retrieval, and natural language processing.

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Ditch the Google Drive Subscription: This 2TB Cloud Storage Plan Is Yours for Life

Extreme Tech

FileJump also lets you store any file type on its platform.

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