Wed.Nov 27, 2024

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How Good Are People at Detecting AI?

Unite.AI

As AI advances, AI-generated images and text are becoming increasingly indistinguishable from human-created content. Whether in the form of realistic deepfake videos, art or sophisticated chatbots, these creations often leave people wondering if they can tell the difference between what is real and what is AI-made. Explore how accurately people can detect AI-generated content and compare that accuracy to their perceptions of their abilities.

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YeagerAI’s Intelligent Oracle: Built on GenLayer blockchain for real-time data access

AI News

Blockchain AI research lab YeagerAI has announced the launch of the Intelligent Oracle, an AI-powered oracle that aims to provide decentralised applications (DApps) with online data on-chain. The Oracle can change how data is collected, offering new possibilities and use cases for blockchain DApps. It is built on the GenLayer blockchain, also a brainchild of YeagerAI, and designed to support a new generation of DApps.

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Notta AI Review: Transcribe Multiple Languages At Once!

Unite.AI

Ever struggled to keep up with fast meetings, long interviews, or complex lectures? We’ve all been there, jotting down notes while trying to catch every important word. But what if you could eliminate the stress of manual note-taking and never miss a key detail again? I recently discovered Notta AI , an AI transcription tool that’s transforming the way we capture conversations.

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Generative AI use soars among brits, but is it sustainable?

AI News

A survey by CloudNine PR shows that 83% of UK adults are aware of generative AI tools, and 45% of those familiar with them want companies to be transparent about the environmental costs associated with the technologies. With data centres burning vast amounts of energy, the growing demand for GenAI has sparked a debate about its sustainability. The cost of intelligence: Generative AI’s carbon footprint Behind every AI-generated email, idea, or recommendation are data centres running thousands of

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Precision in Motion: Why Process Optimization Is the Future of Manufacturing

Speaker: Jason Chester, Director, Product Management

In today’s manufacturing landscape, staying competitive means moving beyond reactive quality checks and toward real-time, data-driven process control. But what does true manufacturing process optimization look like—and why is it more urgent now than ever? Join Jason Chester in this new, thought-provoking session on how modern manufacturers are rethinking quality operations from the ground up.

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Cara Jones, Co-Founder & CEO of Marinus Analytic – Interview Series

Unite.AI

Cara Jones is the CEO and co-founder of Marinus Analytics, Cara is passionate about high tech implementations that maximize the efficiency, and by extension, impact, of agencies. Her desire to serve the public safety and human services sector was influenced by her father's career as a forensic social worker. She has managed the maturation and commercialization of Marinus Analytics’s Traffic Jam software since the company's founding.

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How AI-Led Platforms Are Transforming Business Intelligence and Decision-Making

Unite.AI

Imagine a retail company anticipating a surge in demand for specific products weeks before a seasonal shopping event. Or consider a healthcare provider accurately predicting patient influx during peak flu season, enabling them to allocate resources efficiently and improve care. These scenarios are not hypothetical—they are becoming the norm in organizations leveraging artificial intelligence (AI) for real-time, actionable insights.

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Efficiently train models with large sequence lengths using Amazon SageMaker model parallel

AWS Machine Learning Blog

Large language models (LLMs) have witnessed an unprecedented surge in popularity, with customers increasingly using publicly available models such as Llama, Stable Diffusion, and Mistral. Across diverse industries—including healthcare, finance, and marketing—organizations are now engaged in pre-training and fine-tuning these increasingly larger LLMs, which often boast billions of parameters and larger input sequence length.

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Data for Good: How Open Data Science is Fueling Positive Change

ODSC - Open Data Science

Imagine having the power to predict the future. To know when people will get sick or if infrastructure will fail before it happens. This very superpower is emerging today through open data science — the use of publicly available data and tools by everyday citizens to drive social change. I know it sounds unbelievable, but stay with me here. Just ten years ago, the idea of ordinary people leveraging data science for humanitarian causes would have seemed like wishful thinking.

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Introduction to Writesonic AI (Everything You Need to Know)

Ofemwire

Writesonic AI is a game-changer for anyone looking to create high-quality content quickly. I’ve used it for blogs, marketing copy, and even brainstorming ideas, and it’s made my work so much easier. This tool doesn’t just generate words—it adapts to your tone, understands your needs, and delivers polished content that’s ready to use. What I love most is how it simplifies everything.

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Smart Tools & Strong Teams: A People-First Approach to AI in Sales

Speaker: Matt Sunshine, CEO at The Center for Sales Strategy

AI isn’t replacing salespeople—it’s empowering them. The most forward-thinking sales organizations are using AI to enhance human performance rather than eliminate it. From coaching and messaging to prospecting and pipeline accountability, artificial intelligence is giving managers and SDRs the new tools they need to work smarter, sell better, and close more.

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John Snow Labs Achieves CarbonNeutral® Certification for 2024, Championing Sustainability as a Pillar of Responsible AI

John Snow Labs

Working with Climate Action Veteran Natural Capital Partners, John Snow Labs Minimizes the Environmental Impact Associated with Building Large Language Models John Snow Labs , the AI for healthcare company providing state-of-the-art medical language models, announces today its CarbonNeutral® company certification for 2024. This certification was done by Natural Capital Partners, an independent global leader in sustainability solutions.

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Getting started with Amazon Bedrock Agents custom orchestrator

AWS Machine Learning Blog

Generative AI agents are designed to interact with their environment to achieve specific objectives, such as automating repetitive tasks and augmenting human capabilities. By orchestrating multistep workflows that adapt to evolving goals in real time, these agents increase productivity, reduce errors, and deliver more personalized experiences. To manage these complex workflows effectively, agents rely on an orchestration strategy that coordinates interactions with various tools, knowledge source

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Enhanced IDS Framework with usfAD for Detecting Unknown Attacks

Marktechpost

Intrusion detection systems (IDS) encounter significant challenges in detecting zero-day or unknown cyberattacks, which are not included in the training data. These attacks do not have any identifiable pattern and cannot be easily detected by traditional techniques. The lack of annotated samples of attacks, the highly dynamic nature of attack methodologies, and the problem of high-dimensional datasets further pose a challenge to the problem.

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34K GitHub Stars Later: Didier Rodrigues Lopes’s OpenBB Success

Analytics Vidhya

In this episode of Leading with Data, we feature Didier Rodrigues Lopes, the Founder and CEO of OpenBB, a trailblazer in the field of AI-powered research and analytics. With over 34K GitHub stars in under three years, Didier shares his journey of transforming a personal project into a thriving open-source business that empowers financial research […] The post 34K GitHub Stars Later: Didier Rodrigues Lopes’s OpenBB Success appeared first on Analytics Vidhya.

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AI-Enabled Robotics Software for Manufacturing Automation: Speeding Time-to-Value

Robots are a cornerstone of a smart factory, automating a wide range of manufacturing tasks that are monotonous, physically straining, or even hazardous. However, real-world robotics deployments have not lived up to the revolutionary potential the industrial sector had originally envisioned. Robot implementations are typically confined to specific applications, carry high costs, and are time-consuming.

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Unlocking near real-time analytics with petabytes of transaction data using Amazon Aurora Zero-ETL integration with Amazon Redshift and dbt Cloud

Flipboard

While customers can perform some basic analysis within their operational or transactional databases, many still need to build custom data pipelines that use batch or streaming jobs to extract, transform, and load (ETL) data into their data warehouse for more comprehensive analysis. Zero-ETL integration with Amazon Redshift reduces the need for custom pipelines, preserves resources for your transactional systems, and gives you access to powerful analytics.

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Exploring the Latest Features of Claude 3.5 and What We Can Do With Them

Analytics Vidhya

Anthropic’s Claude 3.5 is one of the latest updates in the field of generative AI. This new and improved GenAI chatbot introduces powerful features that extend its usability across various domains. With new features like prompt advising, artifacts, and tools to interact with computer files, Claude 3.5 aims to serve businesses, developers, researchers, and general […] The post Exploring the Latest Features of Claude 3.5 and What We Can Do With Them appeared first on Analytics Vidhya.

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Use Amazon Bedrock Agents for code scanning, optimization, and remediation

AWS Machine Learning Blog

Amazon Bedrock is a fully managed service that makes foundation models (FMs) from leading AI startups and Amazon available through an API, so you can choose from a wide range of FMs to find the model that best suits your use case. With the Amazon Bedrock serverless experience, you can get started quickly, privately customize FMs with your own data, integrate and deploy them into your application using Amazon Web Services (AWS) tools without having to manage any infrastructure.

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Streamlining naturalization applications with Amazon Bedrock

Flipboard

Public sector organizations worldwide face a common challenge: processing an ever-growing volume of document-heavy applications across various services. From naturalization procedures to asylum applications and university admissions, many crucial processes still rely on manual or partially manual methods, leading to significant backlogs, extended processing times, and increased costs.

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New Research-Backed Strategies to Empower Managers as Culture & Engagement Leaders

Speaker: Beth Sunshine, SVP, Up Your Culture

When culture isn’t consistently lived out across the organization, engagement suffers—and it often starts with a disconnect at the top. In this session, Beth Sunshine, SVP of Up Your Culture at The Center for Sales Strategy, will reveal how HR and executive leaders can close the gap between vision and execution by equipping frontline and mid-level managers to become culture carriers.

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The Sequence Chat: Why are Foundation Models so Hard to Explain and What are we Doing About it?

TheSequence

Created Using Midjourney Large foundation models are like black boxes! We regularly hear this statement associated with the limited interpretability in the current generation of large generative AI models across different modalities. But what really makes these models so difficult to interpret? Is it just size or there are other more intrinsic complexities?

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Search enterprise data assets using LLMs backed by knowledge graphs

Flipboard

Enterprises are facing challenges in accessing their data assets scattered across various sources because of increasing complexities in managing vast amount of data. Traditional search methods often fail to provide comprehensive and contextual results, particularly for unstructured data or complex queries. Search solutions in modern big data management must facilitate efficient and accurate search of enterprise data assets that can adapt to the arrival of new assets.

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RAG vs Agentic RAG: A Comprehensive Guide

Analytics Vidhya

Today, I am discussing RAG vs Agentic RAG. In this guide, I will provide you with the comparison and then proceed to the hands-on part. Firstly, let’s understand what RAG is. It is not a piece of old cloth but the framework LLM uses to get relevant, up-to-date, and context-specific information by combining retrieval and […] The post RAG vs Agentic RAG: A Comprehensive Guide appeared first on Analytics Vidhya.

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Create a generative AI assistant with Slack and Amazon Bedrock

Flipboard

Seamless integration of customer experience, collaboration tools, and relevant data is the foundation for delivering knowledge-based productivity gains. In this post, we show you how to integrate the popular Slack messaging service with AWS generative AI services to build a natural language assistant where business users can ask questions of an unstructured dataset.

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The AI Productivity Shift: Whats Working & Whats Next

85% of teams are using AI, but only 27% report clear productivity gains. Why? Because most are still stuck in surface-level adoption. In this expert panel, top voices in workplace strategy and remote innovation—Dr. Gleb Tsipursky, Phil Kirschner, Nadia Harris, and Eryn Peters—reveal how leading teams are cutting digital noise, training AI to fit their workflows, and building cultures that embrace change.

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300 data pipelines + 30,000 models = $100+ million in potential value

SAS Software

The ongoing impact of inflation on the economy is a persistent news headline. Organizations around the world are exploring how data and AI can help lower costs and improve efficiency. Georgia-Pacific, one of the world’s largest manufacturers of pulp and paper products, is ahead of the curve. They are poised [.

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Google launches the London AI Campus

Flipboard

The AI Campus is an educational pilot to support and diversify the next generation of local AI talent. Plus, a Google.

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Microsoft Promises It Isn't Using Office Docs to Train AI

Extreme Tech

All of the recent hullabaloo surrounding Microsoft 365's 'connected experiences' has been a misunderstanding, per the company.

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Inside Elon Musk’s Quest to Beat OpenAI at Its Own Game

Flipboard

Elon Musk spent the past year building his artificial intelligence startup xAI at breakneck speed. Now he has to turn it into a real business. Musk started xAI last summer in an effort to play catch-up with OpenAI, the ChatGPT developer he co-founded and left in 2018 after a power struggle.

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Speeding Robotics Automation with AI

The $53 trillion manufacturing economy in the US is undergoing a major automation paradigm shift due to Artificial Intelligence (AI). Thanks to new practical frameworks, automation projects that were once impossible or inefficient to implement are now being fast-tracked, and robotics automation is becoming increasingly relevant to a growing number of users and scenarios.

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Astrophysicist Glimpses 'Newborn' Transiting Exoplanet

Extreme Tech

The young and distant object offers researchers a never-before-seek peek at the early stages of a planet's life.

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‘Unprecedented’ climate extremes are everywhere. Our baselines for what’s normal will need to change

Flipboard

Extreme temperature and rainfall events are increasing around the world, including Australia.

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Webb Captures the Sombrero Galaxy in a New Light

Extreme Tech

Nice hat.

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