Mon.Jun 17, 2024

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NVIDIA presents latest advancements in visual AI

AI News

NVIDIA researchers are presenting new visual generative AI models and techniques at the Computer Vision and Pattern Recognition (CVPR) conference this week in Seattle. The advancements span areas like custom image generation, 3D scene editing, visual language understanding, and autonomous vehicle perception. “Artificial intelligence, and generative AI in particular, represents a pivotal technological advancement,” said Jan Kautz, VP of learning and perception research at NVIDIA.

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What is Regression Analysis?

Analytics Vidhya

Introduction A fundamental component of statistical technique, regression analysis is essential for examining and measuring connections between variables. Its uses are numerous and diverse, from forecasting financial trends to evaluating medical results. This in-depth manual explores the essence of regression analysis, explaining its various kinds, applications, and underlying concepts.

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How IBM helps Wimbledon use generative AI to drive personalized fan engagement

IBM Journey to AI blog

For two weeks in July, the All England Lawn Tennis Club (AELTC) hosts Wimbledon, the most prestigious tournament in the sport. IBM has been partnering with the Club for more than three decades, enhancing coverage of The Championships and engaging fans with rich data-driven insights. This year, some of the most compelling stories of the tournament will be told with the help of IBM® watsonx™ , the enterprise-ready generative AI platform.

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Understanding the Log-normal Distribution

Analytics Vidhya

Introduction The log-normal distribution is a fascinating statistical concept commonly used to model data that exhibit right-skewed behavior. This distribution has wide-ranging applications in various fields, such as biology, finance, and engineering. In this article, we will delve into the log-normal distribution, its key parameters, and how to interpret them, as well as explore some […] The post Understanding the Log-normal Distribution appeared first on Analytics Vidhya.

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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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6 hard truths CEOs must confront in the generative AI era

IBM Journey to AI blog

The rise of generative AI is a make-or-break moment for CEOs. All eyes are on them and the decisions they make now to steer their organizations into the future. There is an exciting canvas of opportunity ahead with generative AI: improving productivity across virtually every enterprise function, delivering exciting new kinds of customer experiences, and powering the development of new digital products and services—all underpinned by transformed technology delivery.

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Navigating the Ethics of Digital Humans

Unite.AI

With the emergence of any new technology, ethical challenges arise. The rise of digital humans is no exception. Gartner predicts that by 2035, the digital human economy will become a $125-billion market that will continue to grow further. When deployed at such scale, the digital human economy is here to dramatically change how businesses (and our society) operate.

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How to Create 3D Pie Charts?

Analytics Vidhya

Introduction Data visualization is an important step toward discovering insights and patterns. Among the various tools at our disposal are charts, which explain complicated information simply and straightforwardly. The 3D pie chart is a very handy graphic. Traditional pie charts demonstrate how different categories contribute to a whole, while 3D pie charts offer depth and […] The post How to Create 3D Pie Charts?

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How to Create WebVTT Files for Videos in Node.js

AssemblyAI

WebVTT.vtt or Web Video Text Tracks Format is a widely used and supported format for subtitles in videos. This is what the first lines of the WebVTT file for this YouTube video look like: WEBVTT 00:00.170 --> 00:04.234 AssemblyAI is building AI systems to help you build AI applications 00:04.282 --> 00:08.106 with spoken data. We create superhuman AI models for speech In this guide, you'll learn how to create WebVTT files for videos using Node.js and the AssemblyAI API.

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Generating audio for video

DeepMind

Video-to-audio research uses video pixels and text prompts to generate rich soundtracks

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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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How to Create SRT Files for Videos in Node.js

AssemblyAI

SRT.srt is a widely used and supported format for subtitles in videos. This is what the first lines of the SRT file for this YouTube video look like: 1 00:00:00,170 --> 00:00:04,234 AssemblyAI is building AI systems to help you build AI applications 2 00:00:04,282 --> 00:00:08,106 with spoken data. We create superhuman AI models for speech In this guide, you'll learn how to create SRT files for videos using Node.js and the AssemblyAI API.

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Pascal Bornet, Author of IRREPLACEABLE & Intelligent Automation – Interview Series

Unite.AI

Pascal Bornet is a pioneer in Intelligent Automation (IA) and the author of the best-seller book “ Intelligent Automation.” He is regularly ranked as one of the top 10 global experts in Artificial Intelligence and Automation. He is a member of the Forbes Technology Council. Bornet is also a senior executive with 20+ years of experience leading digital transformations for corporates.

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Lamini AI’s Memory Tuning Achieves 95% Accuracy and Reduces Hallucinations by 90% in Large Language Models

Marktechpost

Lamini AI has introduced a groundbreaking advancement in large language models (LLMs) with the release of Lamini Memory Tuning. This innovative technique significantly enhances factual accuracy and reduces hallucinations in LLMs, considerably improving existing methodologies. The method has already demonstrated impressive results, achieving 95% accuracy compared to the 50% typically seen with other approaches and reducing hallucinations from 50% to a mere 5%.

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NVIDIA Research Wins CVPR Autonomous Grand Challenge for End-to-End Driving

NVIDIA

Making moves to accelerate self-driving car development, NVIDIA was today named an Autonomous Grand Challenge winner at the Computer Vision and Pattern Recognition (CVPR) conference, running this week in Seattle. Building on last year’s win in 3D Occupancy Prediction , NVIDIA Research topped the leaderboard this year in the End-to-End Driving at Scale category with its Hydra-MDP model, outperforming more than 400 entries worldwide.

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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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Satellite Data Could Warn Us Of Earthquakes Days in Advance

Extreme Tech

So-called earthquake precursors have been detected by European and Chinese satellites up to 19 days ahead of the actual event.

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How Data Annotation Fuels AI-Driven Marketing Strategies

Aiiot Talk

Data annotation might sound technical, but it’s the secret sauce behind successful AI-driven marketing strategies. In this article, we’ll dig into how it supercharges AI marketing and share how it can help your business. Data annotation is about labelling data so AI can learn from it and make better decisions. It’s like training a pet to respond to commands; it performs better by showing it correctly.

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CMU Researchers Provide an In-Depth Study to Formulate and Understand Hallucination in Diffusion Models through Mode Interpolation

Marktechpost

A major challenge in diffusion models, especially those used for image generation, is the occurrence of hallucinations. These are instances where the models produce samples entirely outside the support of the training data, leading to unrealistic and non-representative artifacts. This issue is critical because diffusion models are widely employed in tasks such as video generation, image inpainting, and super-resolution.

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AMD's New Ryzen AI 9 300-Series CPUs Won't Offer Copilot+ Features at Launch

Extreme Tech

Microsoft's new 'AI PC' features will be coming to AMD's Zen 5 laptops later this year

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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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A Comprehensive Introduction to Instruction Fine-Tuning for LLMs

Towards AI

Last Updated on June 18, 2024 by Editorial Team Author(s): Youssef Hosni Originally published on Towards AI. Instruction tuning is a process used to enhance large language models (LLMs) by refining their ability to follow specific instructions. OpenAI’s work on InstructGPT first introduced instruction fine-tuning. InstructGPT was trained to follow human instructions better by fine-tuning GPT-3 on datasets where humans rated the model’s responses, which was a major step towards producing ChatGPT.

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Revolutionizing Personalized Medicine: The Promise and Challenges of Causal Machine Learning in Clinical Care

Marktechpost

Recent advancements in ML are revolutionizing how we evaluate treatments by predicting the causal impact of treatments on patient outcomes, known as causal ML. This approach leverages data from randomized controlled trials (RCTs) and real-world data sources like clinical registries and electronic health records to estimate the effects of treatments.

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How IBM helps Wimbledon use generative AI to drive personalised fan engagement

IBM Journey to AI blog

For two weeks in July, the All England Lawn Tennis Club (AELTC) hosts Wimbledon, the most prestigious tournament in the sport. IBM has been partnering with the Club for more than three decades, enhancing coverage of The Championships and engaging fans with rich data-driven insights. This year, some of the most compelling stories of the tournament will be told with the help of IBM® watsonx™ , the enterprise-ready generative AI platform.

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From Phantoms to Facts: DPO Fine-Tuning Minimizes Hallucinations in Radiology Reports, Boosting Clinical Trust

Marktechpost

Generative vision-language models (VLMs) have revolutionized radiology by automating the interpretation of medical images and generating detailed reports. These advancements hold promise for reducing radiologists’ workloads and enhancing diagnostic accuracy. However, VLMs are prone to generating hallucinated content—nonsensical or incorrect text—which can lead to clinical errors and increased workloads for healthcare professionals.

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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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Immutable backup strategies with cloud storage

IBM Journey to AI blog

Cyberthreats, once a mostly predictable risk limited to isolated incidents, are now pervasive. Attackers aided by advancements in AI and global connectivity are continually seeking out vulnerabilities in security defenses so they can access critical infrastructure and customer data. Eventually, an attack will compromise an administrative account or a network component, or exploit a software vulnerability, ultimately gaining access to production infrastructure.

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Sketchpad: An AI Framework that Gives Multimodal Language Models LMs a Visual Sketchpad and Tools to Draw on the Sketchpad

Marktechpost

One of the main challenges in current multimodal language models (LMs) is their inability to utilize visual aids for reasoning processes. Unlike humans, who draw and sketch to facilitate problem-solving and reasoning, LMs rely solely on text for intermediate reasoning steps. This limitation significantly impacts their performance in tasks requiring spatial understanding and visual reasoning, such as geometry, visual perception, and complex math problems.

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Can AI Bots Run for Mayor? Wyoming Is About to Find Out

Extreme Tech

A man in Cheyenne is trying to put his chatbot, which was built from OpenAI's GPT-4, on this year's ballot.

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Chameleon Paper Explained

Towards AI

Last Updated on June 18, 2024 by Editorial Team Author(s): Louis-François Bouchard Originally published on Towards AI. How to Build a Multimodal LLM like GPT-4o? These past weeks have been exciting, with the release of various revolutionary multimodal models, like GPT-4o or, even more interestingly, Meta’s open-source alternative, Chameleon. Even though it’s a mouthful, all future models will be multimodal.

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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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US Surgeon General Wants Social Media Platforms to Have Their Own Warning Labels

Extreme Tech

The labels would alert users, particularly those in their teenage years, to social media's psychological risks.

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How Twilio used Amazon SageMaker MLOps pipelines with PrestoDB to enable frequent model retraining and optimized batch transform

AWS Machine Learning Blog

This post is co-written with Shamik Ray, Srivyshnav K S, Jagmohan Dhiman and Soumya Kundu from Twilio. Today’s leading companies trust Twilio’s Customer Engagement Platform (CEP) to build direct, personalized relationships with their customers everywhere in the world. Twilio enables companies to use communications and data to add intelligence and security to every step of the customer journey, from sales and marketing to growth and customer service, and many more engagement use cases in a flexib

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Introduction to Adversarial Attack In Computer Vision

Towards AI

Last Updated on June 18, 2024 by Editorial Team Author(s): Vincent Liu Originally published on Towards AI. Source: image by author. Video source: DAVIS¹ Since we started to leverage the power of models in data science, the digital world has been evolving at an incredible speed. Nowadays we have a variety of models based on text, audio, image, and other domain-specific type of data.