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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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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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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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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How Planview built a scalable AI Assistant for portfolio and project management using Amazon Bedrock

AWS Machine Learning Blog

This post is co-written with Lee Rehwinkel from Planview. Businesses today face numerous challenges in managing intricate projects and programs, deriving valuable insights from massive data volumes, and making timely decisions. These hurdles frequently lead to productivity bottlenecks for program managers and executives, hindering their ability to drive organizational success efficiently.

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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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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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15 Modern Use Cases for Enterprise Business Intelligence

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?

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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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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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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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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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From Diagnosis to Delivery: How AI is Revolutionizing the Patient Experience

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

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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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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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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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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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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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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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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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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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US Copyright Office Grants DMCA Exemption for Ice Cream Machines

Extreme Tech

What a delicious decision.

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The Tumultuous IT Landscape Is Making Hiring More Difficult

After a year of sporadic hiring and uncertain investment areas, tech leaders are scrambling to figure out what’s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!

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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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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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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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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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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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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.

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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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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