Mon.Sep 16, 2024

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How Autonomous Mobile Robots Are Transforming Retail Customer Experience

Unite.AI

Currently, the market size for AI in the retail market is estimated to be worth about $9 billion and is expected to reach $40 billion by 2029. At GroceryTech 2024 , a retail food industry event, CEOs and CIOs talked about their growing focus on AI, but also wondered how to implement an AI strategy that would immediately enhance customer experience and drive revenue growth.

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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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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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AI and bots allegedly used to fraudulently boost music streams

AI News

A singer from the United States has been accused of manipulating music streaming platforms using AI technologies and bots to fraudulently inflate his stream statistics and earn millions of dollars in royalties. Michael Smith, 52, from North Carolina, faces charges of wire fraud, conspiracy to commit wire fraud and money laundering. According to the BBC , authorities allege that this is the first time AI has been used to allow such a large-scale streaming scam.

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Usage-Based Monetization Musts: A Roadmap for Sustainable Revenue Growth

Speaker: David Warren and Kevin O’Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

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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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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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10 Best Data Integration Tools (September 2024)

Unite.AI

Data is the core component of effective organizational decision-making. Today, companies generate more data – over 145 zettabytes in 2024 – through sources like social media, Internet-of-Things (IoT) sources, and point-of-sale (POS) systems. The challenge? Compiling data from these disparate systems into one unified location. This is where data integration comes in!

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GOT (General OCR Theory) Unveiled: A Revolutionary OCR-2.0 Model That Streamlines Text Recognition Across Multiple Formats with Unmatched Efficiency and Precision

Marktechpost

Optical Character Recognition (OCR) technology has been essential in digitizing and extracting data from text images. Over the years, OCR systems have evolved from simple methods that could recognize basic text to more complex systems capable of interpreting various characters. Traditional OCR systems, called OCR-1.0, use modular architectures to process images by detecting, cropping, and recognizing text.

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Top 10 Data Integration Tools in 2024

Unite.AI

Data is the core component of effective organizational decision-making. Today, companies generate more data – over 145 zettabytes in 2024 – through sources like social media, Internet-of-Things (IoT) sources, and point-of-sale (POS) systems. The challenge? Compiling data from these disparate systems into one unified location. This is where data integration comes in!

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Intel Is Allegedly Working on a Entirely New x86 Architecture Named Cobra Core

Extreme Tech

Intel is reportedly trying out several new technologies to drastically improve single-core performance in upcoming architectures.

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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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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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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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From Diagnosis to Delivery: How AI is Revolutionizing the Patient Experience

Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

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Gradient-Based Learning In Numpy

Towards AI

Last Updated on September 17, 2024 by Editorial Team Author(s): Shashank Bhushan Originally published on Towards AI. Photo by Erol Ahmed on Unsplash What is Gradient-Based Learning? Mathematically training a neural network can be framed as an optimization problem in which we either try to maximize or minimize some function f(x). f(x) is usually referred to as the cost function, loss function, or error function.

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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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Scientists Use AI to Prove People Can Be Talked Out of Conspiracy Theories

Extreme Tech

This chatbot experiment reveals that, contrary to popular belief, many conspiracy thinkers aren't 'too far gone' to reconsider their convictions and change their minds.

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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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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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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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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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CRISPR-Cas9 guide RNA efficiency prediction with efficiently tuned models in Amazon SageMaker

AWS Machine Learning Blog

The clustered regularly interspaced short palindromic repeat (CRISPR) technology holds the promise to revolutionize gene editing technologies, which is transformative to the way we understand and treat diseases. This technique is based in a natural mechanism found in bacteria that allows a protein coupled to a single guide RNA (gRNA) strand to locate and make cuts in specific sites in the targeted genome.

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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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The Tumultuous IT Landscape Is Making Hiring More Difficult

After a year of sporadic hiring and uncertain investment areas, tech leaders are scrambling to figure out what’s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!

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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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Improve RAG performance using Cohere Rerank

AWS Machine Learning Blog

This post is co-written with Pradeep Prabhakaran from Cohere. Retrieval Augmented Generation (RAG) is a powerful technique that can help enterprises develop generative artificial intelligence (AI) apps that integrate real-time data and enable rich, interactive conversations using proprietary data. RAG allows these AI applications to tap into external, reliable sources of domain-specific knowledge, enriching the context for the language model as it answers user queries.

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Outlier Detection for Data Science: Practical Techniques and Tools Explained

Towards AI

Last Updated on September 17, 2024 by Editorial Team Author(s): Souradip Pal Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Imagine you’re looking at a large dataset filled with customer purchases. Suddenly, you notice one purchase that’s 10 times the average value! It’s tempting to ignore this, but that oddball number could either be a data entry mistake or represent a unique event.

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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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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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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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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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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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