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Extracting Training Data From Fine-Tuned Stable Diffusion Models

Unite.AI

New research from the US presents a method to extract significant portions of training data from fine-tuned models. This could potentially provide legal evidence in cases where an artist's style has been copied, or where copyrighted images have been used to train generative models of public figures, IP-protected characters, or other content. From the new paper: original training images are seen in the row above, and the extracted images are depicted in the row below.

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Bridging code and conscience: UMD’s quest for ethical and inclusive AI

AI News

As artificial intelligence systems increasingly permeate critical decision-making processes in our everyday lives, the integration of ethical frameworks into AI development is becoming a research priority. At the University of Maryland (UMD), interdisciplinary teams tackle the complex interplay between normative reasoning, machine learning algorithms, and socio-technical systems.

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Image Editing with Gaussian Splatting

Unite.AI

A new collaboration between researchers in Poland and the UK proposes the prospect of using Gaussian Splatting to edit images, by temporarily interpreting a selected part of the image into 3D space, allowing the user to modify and manipulate the 3D representation of the image, and then applying the transformation. To change the orientation of the cat's head, the relevant section is moved into 3D space via Gaussian Splatting, and then manipulated by the user.

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New IBM study: How business leaders can harness the power of gen AI to drive sustainable IT transformation

IBM Journey to AI blog

As organizations strive to balance productivity, innovation and environmental responsibility, the need for sustainable IT practices is even more pressing. A new global study from the IBM Institute for Business Value reveals that emerging technologies, particularly generative AI, can play a pivotal role in advancing sustainable IT initiatives. However, successful transformation of IT systems demands a strategic and enterprise-wide approach to sustainability.

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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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7 LLM Parameters to Enhance Model Performance (With Practical Implementation)

Analytics Vidhya

Introduction Let’s say you’re interacting with an AI that not only answers your questions but understands the nuances of your intent. It crafts tailored, coherent responses that almost feel human. How does this happen? Most people don’t even realize the secret lies in LLM parameters. If you’ve ever wondered how AI models like ChatGPT generate […] The post 7 LLM Parameters to Enhance Model Performance (With Practical Implementation) appeared first on Analytics Vidhya.

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Harnessing AI for Climate Change Mitigation: Predictive Analytics and Modeling

Aiiot Talk

AI enthusiasts in all sectors are finding creative ways to implement artificial intelligence’s predictive analytics and modelling capabilities to mitigate climate change. What are some examples across industries where effective installation yields results? Smart Grid Management in the Energy Sector “Urban planners, electricians and engineers are collaborating to grow the grid’s capacity and resilience to support modern demands and green generators.

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Automating Email Sorting and Labelling with CrewAI

Analytics Vidhya

Introduction Never would have the inventor of email –Ray Tomlinson– thought of how far this piece of tech would reach in the future. Today, email is the prime pillar of corporate and professional communications and is used in innumerable facets of the working world. And this has propelled the creation of a whole set of […] The post Automating Email Sorting and Labelling with CrewAI appeared first on Analytics Vidhya.

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How IBM Data Product Hub helps you unlock business intelligence potential

IBM Journey to AI blog

Business intelligence (BI) users often struggle to access the high-quality, relevant data necessary to inform strategic decision making. These professionals encounter a range of issues when attempting to source the data they need, including: Data accessibility issues: The inability to locate and access specific data due to its location in siloed systems or the need for multiple permissions, resulting in bottlenecks and delays.

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AI-powered meeting company Supernormal launches customizable Voice Agents

AssemblyAI

Supernormal  is an AI-powered meeting platform that helps users automate meeting notes, build agendas, extract insights, and scale tasks. The team recently launched Voice Agents, a new tool for creating customizable conversational agents. Here, the Supernormal team discusses the inspiration behind the latest product, some initial post-launch metrics, and what’s next for its AI products.

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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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TransAgents: A New Approach to Machine Translation for Literary Works

Unite.AI

Translating literary classics like War and Peace into other languages often results in losing the author's unique style and cultural nuances. Addressing this longstanding challenge in literary translation is essential to preserving the essence of works while making them accessible globally. TransAgents introduces a pioneering approach to machine translation.

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The risks behind the generative AI craze: Why caution is growing

AI News

In the near future, Silicon Valley might look back at recent events as the point where the generative AI craze went too far. This past summer, investors questioned whether top AI stocks could sustain their sky-high valuations, given the lack of returns on massive AI spending. As Autumn approaches, major AI sectors—such as chips, LLMs, and AI devices—received renewed confidence.

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Microsoft’s Drasi: An Open-Source Tool for Efficient Change Management Systems

Analytics Vidhya

Introduction Today, data systems evolve quickly, demanding efficient monitoring and response. Real-time change detection is essential to keeping systems stable, preventing failures, and ensuring business continuity. Microsoft’s open-source tool, Drasi, addresses this need by effortlessly detecting, monitoring, and responding to data changes across platforms, including relational and graph databases.

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LOONG: A New Autoregressive LLM-based Video Generator That can Generate Minute-Long Videos

Marktechpost

Video Generation by LLMs is an emerging field with a promising growth trajectory. While Autoregressive Large Language Models (LLMs) have excelled in generating coherent and lengthy sequences of tokens in natural language processing, their application in video generation has been limited to short videos of a few seconds. To address this, researchers have introduced Loong, an auto-regressive LLM-based video generator capable of generating videos that span minutes.

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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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Brave New World: Leo AI and Ollama Bring RTX-Accelerated Local LLMs to Brave Browser Users

NVIDIA

Editor’s note: This post is part of the AI Decoded series , which demystifies AI by making the technology more accessible, and showcases new hardware, software, tools and accelerations for GeForce RTX PC and NVIDIA RTX workstation users. From games and content creation apps to software development and productivity tools, AI is increasingly being integrated into applications to enhance user experiences and boost efficiency.

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How MNOs Are Leveraging AI to Revolutionize the Telecom Industry

Unite.AI

For more than three decades, mobile network operators (MNOs) have been channeling their research and development efforts into five key areas: messaging, roaming, policy, signaling, and clearing. Given the vast quantities of data processed through these systems, it's only natural that MNOs are increasingly focusing on leveraging artificial intelligence (AI) to enhance features, maximize resource efficiency, and safeguard customer data, all while fulfilling their service commitments.

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What Is an NPU?

Extreme Tech

What does 'NPU' stand for, and what can it do? Do you need one? Here's what you need to know about this emerging technology.

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Top 6 Books on Retrieval Augmented Generation (RAG)

Analytics Vidhya

Introduction Retrieval-Augmented Generation (RAG) is one of the latest technologies in AI and it is revolutionizing how organizations use their data to build smart AI solutions. But where should you start? Fortunately, there are excellent books available to guide you on this journey. To help you, in this article, we’ll focus on the six best […] The post Top 6 Books on Retrieval Augmented Generation (RAG) appeared first on Analytics Vidhya.

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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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YOLO11 Released by Ultralytics: Unveiling Next-Gen Features for Real-time Image Analysis and Autonomous Systems

Marktechpost

Ultralytics has once again set a new standard in computer vision with the introduction of YOLO11 , the latest addition to its groundbreaking YOLO series. Renowned for its real-time object detection expertise, YOLO11 elevates the capabilities of its predecessors by combining speed, precision, and versatility. Featuring a restructured architecture and enhanced data processing techniques, it delivers unmatched performance in identifying complex visual patterns across various applications.

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Depth Pro: Sharp Monocular Metric Depth in Less Than a Second

Machine Learning Research at Apple

We present a foundation model for zero-shot metric monocular depth estimation. Our model, Depth Pro, synthesizes high-resolution depth maps with unparalleled sharpness and high-frequency details. The predictions are metric, with absolute scale, without relying on the availability of metadata such as camera intrinsics. And the model is fast, producing a 2.25-megapixel depth map in 0.3 seconds on a standard GPU.

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How Microsoft’s TorchGeo Streamlines Geospatial Data for Machine Learning Experts

Unite.AI

In today’s data-driven world, geospatial information is essential for gaining insights into climate change, urban growth, disaster management, and global security. Despite its vast potential, working with geospatial data presents significant challenges due to its size, complexity, and lack of standardization. Machine learning can analyze these datasets yet preparing them for analysis can be time-consuming and cumbersome.

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Samsung Alleged to be Considering Selling Its Foundry Business

Extreme Tech

The company has been struggling with yields on its 3nm process, which are reported to be as low as 20%.

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Bringing the Cybersecurity Imperative Into Focus

Tech leaders today are facing shrinking budgets and investment concerns. This whitepaper provides insights from over 1,000 tech leaders on how to stay secure and attract top cybersecurity talent, all while doing more with less. Download today to learn more!

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What do Top Leaders have to Say About Agentic AI?

Analytics Vidhya

Introduction Agentic AI is an exciting concept! It’s all about creating AI that can work on its own, without us constantly telling it what to do. Think of it like having a super-smart assistant; it doesn’t just sit there waiting for orders, but predicts what you need and gets it done. This idea is getting […] The post What do Top Leaders have to Say About Agentic AI?

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FakeShield: An Explainable AI Framework for Universal Image Forgery Detection and Localization Using Multimodal Large Language Models

Marktechpost

The rapid advancement of generative AI has made image manipulation easier, complicating the detection of tampered content. While effective, current Image Forgery Detection and Localization (IFDL) methods need to work on two key challenges: the black-box nature of their detection principles and limited generalization across various tampering methods like Photoshop, DeepFake, and AIGC-Editing.

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The Critical Nuances of Today’s AI — and the Frontiers That Will Define Its Future

Towards AI

Last Updated on October 5, 2024 by Editorial Team Author(s): Shashwat Gupta Originally published on Towards AI. The current generation of artificial intelligence has undeniably transformed industries across the globe, from healthcare and finance to transportation and entertainment. Yet, despite these advancements, AI still faces significant limitations — particularly in adaptability, energy consumption, and the ability to learn from new situations without forgetting old information.

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Microdosing on Low-Hallucinogenic AI

Unite.AI

The Agentforce is here. Salesforce wrapped another edition of its annual Dreamforce conference this September. Joining the swarms of attendees — and the swarms of Waymos shuttling them around an extra-cleaned San Francisco — we each now have a swarm of agents at our fingertips to transform work, neatly controlled within the Salesforce ecosystem. While Dreamforce is always a spectacle for its marketing-honed pronouncements of the future, this year provided an unexpectedly compelling vision of how

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Driving Responsible Innovation: How to Navigate AI Governance & Data Privacy

Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL

Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations. Our expert speaker, Aindra Misra, will guide you through best practices for ensuring data protection while leveraging AI capabilities.

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Space Probe Maps Mercury's Magnetic Field in Just 30 Minutes

Extreme Tech

The BepiColombo mission won't be in Mercury's orbit for several years, but it was able to take some measurements during last year's flyby.

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Top 6 LLMs that Support Function Calling

Analytics Vidhya

Introduction OpenAI’s latest models, like GPT-o1 and GPT-4o, excel in delivering accurate, context-aware responses across diverse fields. A key factor behind the advancements in these Large Language Models (LLMs) is their enhanced utility and the significant reduction in common issues like hallucinations. Techniques like retrieval-augmented generation (RAG) enhance accuracy and reduce hallucinations by allowing models […] The post Top 6 LLMs that Support Function Calling appeared fir

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Exploring In-Context Reinforcement Learning in LLMs with Sparse Autoencoders

Marktechpost

Large language models (LLMs) have demonstrated remarkable in-context learning capabilities across various domains, including translation, function learning, and reinforcement learning. However, the underlying mechanisms of these abilities, particularly in reinforcement learning (RL), remain poorly understood. Researchers are attempting to unravel how LLMs learn to generate actions that maximize future discounted rewards through trial and error, given only a scalar reward signal.