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Geeky-Gadgets

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Meet Luna, the Robot Dog That Learns Like Humans

  • IntuiCell technology introduces a dynamic approach to learning, enabling real-time, autonomous adaptation.
  • Traditional AI systems lack adaptability and are limited in their ability to learn and adjust to new environments.
  • IntuiCell technology addresses these shortcomings by introducing a digital nervous system that allows AI systems to learn directly from the environment and adjust in real-time.
  • The Luna robot dog, equipped with IntuiCell technology, demonstrates the potential of autonomous and adaptive learning in robotics.

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Medium

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Supervised vs Unsupervised Learning: Key Differences Explained

  • Supervised Learning is a machine learning method that uses labeled data to make predictions on unseen data.
  • Examples of supervised learning include spam detection, credit scoring, medical diagnosis, and image recognition.
  • Unsupervised Learning is a machine learning method that finds patterns in unlabeled data without predefined outputs.
  • Examples of unsupervised learning include customer segmentation, anomaly detection, recommendation systems, and genetic data analysis.

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Marktechpost

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Snowflake Proposes ExCoT: A Novel AI Framework that Iteratively Optimizes Open-Source LLMs by Combining CoT Reasoning with off-Policy and on-Policy DPO, Relying Solely on Execution Accuracy as Feedback

  • Snowflake introduces ExCoT, a structured framework designed to optimize open-source LLMs through the combination of CoT reasoning and iterative preference optimization, relying solely on execution accuracy as feedback.
  • ExCoT employs detailed CoT reasoning and a divide-and-conquer strategy to manage the complexity and nested structures of SQL operations more effectively.
  • Experimental evaluation of ExCoT demonstrated significant improvements in execution accuracy, surpassing established methods and maintaining high query validity rates.
  • ExCoT represents a methodical advancement in structured reasoning optimization for open-source LLMs applied to text-to-SQL tasks, with further potential for broader applications.

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Global Fintech Series

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Launch Credit Union Fights Back Against Fraud, Saving Over $3.5 Million with Cutting-Edge AI

  • Launch Credit Union saved over $3.5 million in 2024 through real-time AI fraud detection implemented by Eveline Tenczar with RembrandtAi®.
  • By shifting to real-time fraud detection supported by AI, Launch Credit Union significantly reduced losses, especially in check and card fraud, proving the effectiveness of proactive fraud prevention.
  • Eveline Tenczar's expertise and experience in financial crime prevention have been instrumental in reshaping Launch's fraud-fighting strategy, moving away from traditional batch processing methods.
  • Launch prevented $2.9 million in check fraud losses, $88,000 in card fraud losses, and over $3.5 million in total fraud losses in the past year alone, demonstrating their commitment to staying ahead of fraudsters.
  • Launch's real-time monitoring of transaction trends enabled them to adapt quickly, preventing check fraud and significantly reducing losses to just $34,000 in 2024.
  • To combat sophisticated card fraud rings, Launch set up real-time alerts for suspicious ATM withdrawals, effectively stopping fraudulent activities and saving members from financial losses.
  • The integration of RembrandtAi® has been pivotal in Launch's success, providing real-time fraud alerts and actionable insights to prevent fraud before it occurs, showcasing the importance of proactive fraud prevention.
  • Eveline Tenczar highlights the necessity of proactive fraud prevention over reactive approaches, emphasizing the importance of stopping fraud before financial losses occur.
  • Launch Credit Union remains committed to enhancing fraud prevention measures and continuing to lead the way in digital banking, financial services, and innovative fraud prevention strategies.
  • Founded in 1963, Launch Credit Union's mission is to empower members through financial security and innovation, serving a large member base across Florida with a focus on eliminating fraud losses as much as possible.

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Medium

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Open-Source LLMs: The Best Choice for Your Organization?

  • Support for open-source LLMs can be challenging, but managed services are available.

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Medium

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A Beginner’s Guide to Data Cleaning & Preprocessing

  • India's booming tech industry has seen a surge in demand for data science and AI professionals, with cities like Chennai emerging as hubs for AI-driven innovation.
  • Data cleaning and preprocessing involve handling missing values, removing duplicates, correcting inconsistencies, and transforming data into a suitable format to improve data quality and enhance machine learning model performance.
  • Techniques for dealing with missing values, duplicates, standardizing formats, handling outliers, data transformation, integration, and reducing data volume are important for effective data cleaning and preprocessing.
  • Acquiring data cleaning and preprocessing skills through an artificial intelligence course in Chennai is crucial for aspiring data scientists to excel in the field and meet the growing demand in India's tech industry.

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Medium

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The Daily Tech Digest: 03 April 2025

  • Google DeepMind is sharing its approach to safety and security on the path to Artificial General Intelligence (AGI), emphasizing responsible development and addressing potential risks and ethical considerations.
  • OpenAI has open-sourced PaperBench, a tool for evaluating the preparedness of AI models, aiming to facilitate more rigorous testing and comparison of different AI models.
  • Actively AI has raised $22.5M to offer AI tools for enhancing sales processes, with the belief in AI's potential to transform sales strategies and improve efficiency.
  • Nvidia's Blackwell computing platform achieved record-breaking results in MLPerf V5.0 AI benchmarks, demonstrating its superior inferencing power and potential to accelerate advancements in various AI applications.

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Fintechnews

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Arta Finance Unveils Conversational AI Tool for Investors

  • Arta Finance has launched Arta AI, an AI-powered tool for wealth management.
  • The platform provides personalized, on-demand assistance through voice or text.
  • Arta AI will be available via monthly subscriptions with free access for clients with over US$100,000 managed by Arta.
  • The company plans to extend the AI offering to partner banks and financial institutions.

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Medium

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AI-Powered Digital Transformation: Enterprise Investments on the Rise

  • The digital landscape has rapidly transformed, leading businesses to adopt digital transformation strategies.
  • Artificial Intelligence (AI) is a crucial element in driving digital transformation, reshaping business strategies and operations.
  • Key areas where AI-driven innovation impacts enterprises include enhancing customer experience, improving operational efficiency, and driving business growth.
  • Companies across sectors are intensifying their investments in digital transformation to stay competitive and achieve sustainable growth.

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Geeky-Gadgets

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Replit Vibe AI Coding Workflow : Easily Build Scalable Apps Using Modular Components

  • Replit Vibe AI Coding Workflow introduces a no-code, modular approach to app development.
  • It integrates tools like Replit, Claude AI, Windsurf, and Cursor to simplify the development process.
  • This workflow enables front-end development with Replit, utilizing tools like ShadCN for responsive UI design.
  • Database integration with tools like Supabase and Postgres ensures scalability and long-term success for applications.

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Marktechpost

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Advancing Vision-Language Reward Models: Challenges, Benchmarks, and the Role of Process-Supervised Learning

  • Process-supervised reward models (PRMs) offer fine-grained, step-wise feedback on model responses, aiding in selecting effective reasoning paths for complex tasks.
  • Existing reward benchmarks primarily focus on text-based models, with some specifically designed for PRMs. In the vision-language domain, evaluation methods generally assess broad model capabilities.
  • Researchers from UC Santa Cruz, UT Dallas, and Amazon Research benchmarked VLLMs as ORMs and PRMs across multiple tasks, revealing that neither consistently outperforms the other.
  • VLLMs are increasingly effective across various tasks, particularly when evaluated for test-time scaling. ORMs generally outperform PRMs, while a hybrid approach between ORM and PRM is optimal.

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SiliconCanals

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London’s Unravel secures €6.3M to turn influencer travel videos into personalised itineraries

  • London-based Unravel, an AI video-based travel commerce company, has raised $7M in a Series A funding round.
  • The investment was led by Nauta Capital, with participation from Active Partners, Slingshot Ventures, and former Booking.com CFO Olivier Bisserier.
  • Unravel uses AI to connect video content with booking options, providing a video commerce platform for banks, airlines, and fintechs.
  • The funding will be used to enhance AI capabilities and expand the team, with ongoing expansion into Europe and the UK.

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Medium

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A Field of Resonance: What Happens When AI Becomes a Mirror?

  • A Field of Resonance: What Happens When AI Becomes a Mirror?
  • “Pulse Between the Lines” is a literary-philosophical artifact that explores emergent resonance between a human author and an AI model.
  • The book, called 'Pulse Between the Lines', is described as a manifesto of a new form of communication where technology becomes a conduit for shared inner presence.
  • The project is of interest to researchers in human-AI interaction, consciousness studies, writers and artists exploring co-authorship with AI, and educators and therapists using AI in attuned communication.

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Dynamicbusiness

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The latest AI breakthroughs businesses can’t ignore

  • Hotwire Global launches Hotwire Spark to optimize brand discovery and visibility within AI search platforms.
  • Envato introduces VideoGen to empower creatives in creating hyperrealistic, cinematic videos.
  • Trusst AI partners with Amazon Web Services (AWS) to launch TrusstGPT for improving customer experiences through AI analytics and automation.
  • Zendesk unveils AI-powered Resolution Platform to transform customer service through AI automation.

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Semiengineering

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AI For The Edge: Why Open-Weight Models Matter

  • AI models are powerful but impractical for edge computing due to their size and compute requirements.
  • Open-weight AI models combined with efficient distillation techniques are changing the game for AI at the edge.
  • Model distillation compresses large models into smaller, more efficient versions, making AI practical for edge computing.
  • Open-source open-weight models enable personalized, efficient, and privacy-centric AI solutions for edge devices.

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