IBM Journey to AI blog

JUNE 17, 2024

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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AI News

JUNE 17, 2024

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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Analytics Vidhya

JUNE 17, 2024

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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IBM Journey to AI blog

JUNE 17, 2024

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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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

Analytics Vidhya

JUNE 17, 2024

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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Analytics Vidhya

JUNE 17, 2024

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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AssemblyAI

JUNE 17, 2024

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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Analytics Vidhya

JUNE 17, 2024

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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Unite.AI

JUNE 17, 2024

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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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?

Business Intelligence

AssemblyAI

JUNE 17, 2024

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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Aiiot Talk

JUNE 17, 2024

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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IBM Journey to AI blog

JUNE 17, 2024

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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Marktechpost

JUNE 17, 2024

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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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

AI

IBM Journey to AI blog

JUNE 17, 2024

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

JUNE 17, 2024

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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Marktechpost

JUNE 17, 2024

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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Aiiot Talk

JUNE 17, 2024

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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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.

Business Intelligence

Marktechpost

JUNE 17, 2024

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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DeepMind

JUNE 17, 2024

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

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Marktechpost

JUNE 17, 2024

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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Towards AI

JUNE 17, 2024

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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Marktechpost

JUNE 17, 2024

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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AWS Machine Learning Blog

JUNE 17, 2024

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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Extreme Tech

JUNE 17, 2024

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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Marktechpost

JUNE 17, 2024

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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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.

Generative AI

Towards AI

JUNE 17, 2024

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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Marktechpost

JUNE 17, 2024

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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Towards AI

JUNE 17, 2024

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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