AI News

SEPTEMBER 16, 2024

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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Unite.AI

SEPTEMBER 16, 2024

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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AI News

SEPTEMBER 16, 2024

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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Analytics Vidhya

SEPTEMBER 16, 2024

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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Business Intelligence Data Analysis 291

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

Unite.AI

SEPTEMBER 16, 2024

Annie Chechitelli is the Chief Product Officer at Turnitin, where she oversees the Turnitin suite of applications, including academic integrity, grading and feedback, and assessment capabilities. Turnitin is a global company dedicated to ensuring the integrity of education and meaningfully improving learning outcomes. For 25 years, Turnitin has partnered with educational institutions to promote honesty, consistency, and fairness across all subject areas and assessment types.

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Unite.AI

SEPTEMBER 16, 2024

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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Extreme Tech

SEPTEMBER 16, 2024

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

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Unite.AI

SEPTEMBER 16, 2024

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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Data Integration ETL Big Data Automation 173

AWS Machine Learning Blog

SEPTEMBER 16, 2024

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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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

Extreme Tech

SEPTEMBER 16, 2024

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

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AWS Machine Learning Blog

SEPTEMBER 16, 2024

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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Unite.AI

SEPTEMBER 16, 2024

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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Marktechpost

SEPTEMBER 16, 2024

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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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?

Business Intelligence

Towards AI

SEPTEMBER 16, 2024

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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Marktechpost

SEPTEMBER 16, 2024

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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Extreme Tech

SEPTEMBER 16, 2024

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

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Towards AI

SEPTEMBER 16, 2024

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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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

Extreme Tech

SEPTEMBER 16, 2024

Don't fold your expensive foldable the wrong way.

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Marktechpost

SEPTEMBER 16, 2024

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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Extreme Tech

SEPTEMBER 16, 2024

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

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Towards AI

SEPTEMBER 16, 2024

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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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

AI

Extreme Tech

SEPTEMBER 16, 2024

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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Artificial Lawyer

SEPTEMBER 16, 2024

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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AI AI 111

Marktechpost

SEPTEMBER 16, 2024

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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Towards AI

SEPTEMBER 16, 2024

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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Explore how enterprises can enhance developer productivity and onboarding by adopting self-hosted Cloud Development Environments (CDEs). This whitepaper highlights the simplicity and flexibility of cloud-based development over traditional setups, demonstrating how large teams can leverage economies of scale to boost efficiency and developer satisfaction.

Marktechpost

SEPTEMBER 16, 2024

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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Towards AI

SEPTEMBER 16, 2024

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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Marktechpost

SEPTEMBER 16, 2024

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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