Mon.Jun 17, 2024

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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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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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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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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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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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A Step-by-Step Guide: Building an AI Chat App with Alibaba Cloud

Analytics Vidhya

Introduction In today’s data-driven world, machine learning and AI have become vital business apparatuses, revolutionizing forms, and driving advancement. Be that as it may, executing these advances viably regularly presents challenges in terms of framework, adaptability, and fetching. Enter Alibaba Cloud PAI EAS (Flexible Calculation Benefit), a cutting-edge arrangement custom-fitted to address these obstacles.

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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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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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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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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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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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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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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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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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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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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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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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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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Why Promotional Products Are Essential for Your Business

Aiiot Talk

For both new and existing businesses, standing out from the crowd is more critical than ever. With so much competition, you have to work harder to differentiate yourself and encourage engagement. One powerful and overlooked strategy involves using promotional products. While they may initially seem like an unnecessary expense, they have many great advantages for your company.

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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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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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Generating audio for video

DeepMind

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

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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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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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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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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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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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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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Enhancing Visual Search with Aesthetic Alignment: A Reinforcement Learning Approach Using Large Language Models and Benchmark Evaluations

Marktechpost

Computer vision focuses on enabling devices to interpret & understand visual information from the world. This involves various tasks such as image recognition, object detection, and visual search, where the goal is to develop models that can process and analyze visual data effectively. These models are trained on large datasets, often containing noisy labels and diverse data quality.

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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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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.

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Advancements in Multilingual Speech-to-Speech Translation and Membership Inference Attacks: A Comprehensive Review

Marktechpost

In artificial intelligence, integrating large language models (LLMs) and speech-to-speech translation (S2ST) systems has led to significant breakthroughs. Two recent studies shed light on these advancements: one focusing on a novel attack method against LLMs and the other on a cutting-edge S2ST system. Let’s synthesize the findings from these research papers to highlight the progress and potential implications of AI-driven language processing.

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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.