Fri.Oct 25, 2024

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AI is helping brands avoid controversial influencer partnerships  

AI News

Influencer partnerships can be great for brands looking to pump out content that promotes their products and services in an authentic way. These types of engagements can yield significant brand awareness and brand sentiment lift, but they can be risky too. Social media stars are unpredictable at the best of times, with many deliberately chasing controversy to increase their fame.

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Enhancing Workplace Safety With AI-Based Material-Handling Automation

Aiiot Talk

Material-handling activities can be dangerous because they require repetitive tasks that may cause strain or injuries. Additionally, employees must learn specifics such as proper lifting techniques and ergonomic posture principles to increase their chances of staying safe on the job. Understandably, many executives wonder if there is an easier, more effective way.

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10 Best AI SDR Tools (October 2024)

Unite.AI

The landscape of sales development is undergoing a transformation, powered by artificial intelligence that's redefining how businesses connect with potential customers. AI SDRs (Sales Development Representatives) have emerged as sophisticated systems that automate and enhance the traditional role of human SDRs, handling everything from initial prospecting and lead qualification to scheduling appointments and managing follow-ups.

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US Copyright Office Grants DMCA Exemption for Ice Cream Machines

Extreme Tech

What a delicious decision.

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AI in Marketing & Sales: Today’s Tools, Tomorrow’s Potential

Speaker: Kevin Burke

AI is reshaping marketing and sales, empowering professionals to work smarter, faster, and more effectively. This webinar will provide a practical introduction to AI, focusing on its current applications, transformative potential, and strategies for successful implementation in your organization. Using real-world examples and actionable insights, we’ll examine how businesses are leveraging AI to increase efficiency, enhance personalization, and drive measurable results.

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AI in the Clinical Setting: Understanding Nurses’ Skepticism and Finding the Way Forward

Unite.AI

As a result of widespread burnout and labor shortages, the ever-changing healthcare space is always searching for the ‘next big thing’ to support workforce enablement, and AI is currently the leading contender. AI adoption is becoming increasingly prevalent in clinical settings and is here to stay, with industry executives reporting it is the most exciting and most improved technology for a fourth consecutive year.

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Ajay Kumar, CEO of SLK Software – Interview Series

Unite.AI

Ajay Kumar is the CEO of SLK Software. Ajay is passionate about making a positive client impact while leading P&L’s across all verticals of SLK. An industry veteran, Ajay brings an entrepreneurial conviction, to grow and scale the business performance and give back to the community. SLK's AI-powered platforms and accelerators are designed to automate and streamline processes, helping businesses reach the market more quickly.

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7 Open-Source Machine Learning Projects You Can Contribute To Today

Machine Learning Mastery

Are you a machine learning enthusiast looking to level up your skills? If so, contributing to open-source machine learning projects is one of the best ways to improve your coding skills.

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Zhipu AI Releases GLM-4-Voice: A New Open-Source End-to-End Speech Large Language Model

Marktechpost

In the evolving landscape of artificial intelligence, one of the most persistent challenges has been bridging the gap between machines and human-like interaction. Modern AI models excel in text generation, image understanding, and even creating visual content, but speech—the primary medium of human communication—presents unique hurdles. Traditional speech recognition systems, though advanced, often struggle with understanding nuanced emotions, variations in dialect, and real-time adjustments.

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Samsung Is Finally Upgrading the Galaxy A Series Camera After 5 Years: Leak

Extreme Tech

Samsung might even provide Android updates for six years.

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AI for Paralegals: Everything You Need to Know (and How to Use It Safely)

Speaker: Joe Stephens, J.D., Attorney and Law Professor

Ready to cut through the AI hype and learn exactly how to use these tools in your legal work? Join this webinar to get practical guidance from attorney and AI legal expert, Joe Stephens, who understands what really matters for legal professionals! What You'll Learn: Evaluate AI Tools Like a Pro 🔍 Learn which tools are worth your time and how to spot potential security and ethics risks before they become problems.

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20 GitHub Repositories to Master Natural Language Processing (NLP)

Marktechpost

Natural Language Processing (NLP) is a rapidly growing field that deals with the interaction between computers and human language. As NLP continues to advance, there is a growing need for skilled professionals to develop innovative solutions for various applications, such as chatbots, sentiment analysis, and machine translation. To help you on your journey to mastering NLP, we’ve curated a list of 20 GitHub repositories that offer valuable resources, code examples, and pre-trained models.

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G.Skill and Kingston Both Hit 12,000 MT/s DDR5 Speeds on Intel Arrow Lake

Extreme Tech

None of us will see these speeds in our gaming PCs any time soon, though.

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This AI Paper from Meta AI Unveils Dualformer: Controllable Fast and Slow Thinking with Randomized Reasoning Traces, Revolutionizing AI Decision-Making

Marktechpost

A major challenge in AI research is how to develop models that can balance fast, intuitive reasoning with slower, more detailed reasoning in an efficient way. Human cognition operates by using two systems: System 1, which is fast and intuitive, and System 2, which is slow but more analytical. In AI models, this dichotomy between the two systems mostly presents itself as a trade-off between computational efficiency and accuracy.

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120 Astronomers Urge FCC to Look at Effects of Satellite Constellations on Space, Environment

Extreme Tech

'We should look before we leap.

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4 HR Priorities for 2025 to Supercharge Your Employee Experience

Speaker: Carolyn Clark and Miriam Connaughton

Forget predictions, let’s focus on priorities for the year and explore how to supercharge your employee experience. Join Miriam Connaughton and Carolyn Clark as they discuss key HR trends for 2025—and how to turn them into actionable strategies for your organization. In this dynamic webinar, our esteemed speakers will share expert insights and practical tips to help your employee experience adapt and thrive.

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Salesforce AI Research Introduces a Novel Evaluation Framework for Retrieval-Augmented Generation (RAG) Systems based on Sub-Question Coverage

Marktechpost

Retrieval-augmented generation (RAG) systems blend retrieval and generation processes to address the complexities of answering open-ended, multi-dimensional questions. By accessing relevant documents and knowledge, RAG-based models generate answers with additional context, offering richer insights than generative-only models. This approach is useful in fields where responses must reflect a broad knowledge base, such as legal research and academic analysis.

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Webb Telescope Spots First Brown Dwarfs Outside Our Galaxy

Extreme Tech

The space telescope peered into the Small Magellanic Cloud to identify these sub-stellar objects.

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Distill Your LLMs and Surpass Their Performance

Explosion

In her presentation at InfoQ Dev Summit, Ines Montani provided the audience with practical solutions for using the latest state-of-the-art models in real-world applications and distilling their knowledge into smaller and faster components.

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AMD Ryzen 7 9800X3D to Offer Up to 5.3GHz Boost Clock

Extreme Tech

It's much higher than those of its Zen 4 predecessor.

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Trial Prep: What Attorneys Really Want (And How to Deliver It)

Speaker: Joe Stephens, J.D., Attorney and Law Professor

Get ready to uncover what attorneys really need from you when it comes to trial prep in this new webinar! Attorney and law professor, Joe Stephens, J.D., will share proven techniques for anticipating attorney needs, organizing critical documents, and transforming complex information into compelling case presentations. Key Learning Objectives: Organization That Makes Sense 🎯 Learn how to structure and organize case materials in ways that align with how attorneys actually work and think.

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Can AI Agents Transform Information Retrieval? This AI Paper Unveils Agentic Information Retrieval for Smarter, Multi-Step Interactions

Marktechpost

One of the fundamental challenges in IR is that the classic systems are not designed to handle dynamic, multi-step tasks. Current IR frameworks rely on an immutable, predefined architecture that enables only single-step interactions; users must explicitly revise queries to get the desired results. Conventional models thus lag far behind as users increasingly request systems that are more sophisticated and context-sensitive for tasks that require real-time decision-making or iterative reasoning.

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Intel Core Ultra 9 285K CPU: One Step Forward, One Step Back

Extreme Tech

It's worse than Raptor Lake in gaming but faster in some compute workloads—making it far from a slam-dunk upgrade for most.

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Decoding Similarity: A Framework for Analyzing Neural and Model Representations

Marktechpost

To determine if two biological or artificial systems process information similarly, various similarity measures are used, such as linear regression, Centered Kernel Alignment (CKA), Normalized Bures Similarity (NBS), and angular Procrustes distance. Despite their popularity, the factors contributing to high similarity scores and what defines a good score remain to be determined.

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Unlocking FHIR for Data and AI in a Meaningful Way

databricks

Discover how the Databricks and XponentL partnership is allowing customers to unlock their FHIR needs. Learn more about dbignite. Imagine you’re feeling.

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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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CMU Researchers Propose API-Based Web Agents: A Novel AI Approach to Web Agents by Enabling them to Use APIs in Addition to Traditional Web-Browsing Techniques

Marktechpost

AI agents have become essential tools for navigating web environments and performing online shopping, project management, and content browsing. Typically, these agents simulate human actions, such as clicks and scrolls, on websites primarily designed for visual, human interaction. Although practical, this method of web navigation poses limitations for machine efficiency, especially when tasks involve interacting with complex, image-heavy interfaces.

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Microsoft's Windows 11 Virtual Machines Have Vanished Into Thin Air, Nowhere to Be Seen

Extreme Tech

Microsoft’s Windows 11 dev environment VMs expired and went offline for download on Oct. 23, seemingly because of technical issues.

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Can LLMs Follow Instructions Reliably? A Look at Uncertainty Estimation Challenges

Marktechpost

Large Language Models (LLMs) have potential applications in education, healthcare, mental health support, and other domains. However, their accuracy and consistency in following user instructions determine how valuable they are. Even small departures from directions might have serious repercussions in high-stakes situations, such as those involving delicate medical or psychiatric guidance.

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New Framework Improves Multi-Modal AI Performance Across Diverse Tasks

NYU Center for Data Science

Multi-modal AI models often perform worse than uni-modal models, contrary to expectations. A new framework developed by researchers at CDS aims to resolve this paradox. CDS PhD student Taro Makino , along with fellow NYU PhD student Divyam Madaan , CDS Professor of Computer Science and Data Science Kyunghyun Cho , and Sumit Chopra from the NYU Grossman School of Medicine, proposed a novel approach for supervised multi-modal learning called inter- & intra-modality modeling (I2M2) that capture

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Optimizing The Modern Developer Experience with Coder

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.

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LongPiBench: A Comprehensive Benchmark that Explores How Even the Top Large Language Models have Relative Positional Biases

Marktechpost

Accurate assessment of Large Language Models is best done with complex tasks involving long input sequences. Input sequence can exceed even 200,000 tokens in complex tasks such as repository analysis and information retrieval.LLMs, in response, have evolved, too, to accommodate context lengths of up to 1 million tokens. While examining the performance of capable LLMs on tasks involving long context lengths, researchers noticed a few underlying problems.

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EU AI Act: Key Implications and What Companies Must Know

Viso.ai

The European Union Artificial Intelligence Act (EU AI Act) is the first comprehensive legal framework to regulate the design, development, implementation, and use of AI systems within the European Union. The primary objectives of this legislation are to: Ensure the safe and ethical use of AI Protect fundamental rights Foster innovation by setting clear rules— most importantly for high-risk AI applications The AI Act brings structure into the legal landscape for companies that are directly or ind

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FedPart: A New AI Technique for Enhancing Federated Learning Efficiency through Partial Network Updates and Layer Selection Strategies

Marktechpost

Federated Learning is a distributed method of Machine Learning that puts user privacy first by storing data locally and never centralizing it on a server. Numerous applications have successfully used this technique, especially those requiring sensitive data like healthcare and banking. Each training round in classical federated learning involves a complete update of all model parameters by the local models on each client device.