Mon.Jul 15, 2024

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How to Calculate Algorithm Efficiency?

Analytics Vidhya

Introduction Have you ever wondered what makes some algorithms faster and more efficient than others? It all boils down to two crucial factors: time and space complexity. Think of time complexity as the clock ticking away, measuring how long an algorithm takes to complete based on the size of its input. On the other hand, […] The post How to Calculate Algorithm Efficiency?

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In-Paint3D: Image Generation using Lightning Less Diffusion Models

Unite.AI

The advent of deep generative AI models has significantly accelerated the development of AI with remarkable capabilities in natural language generation, 3D generation, image generation, and speech synthesis. 3D generative models have transformed numerous industries and applications, revolutionizing the current 3D production landscape. However, many current deep generative models encounter a common roadblock: complex wiring and generated meshes with lighting textures are often incompatible with t

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6 Practical Ways to Clean Up Your Database Using SQL REPLACE()

Analytics Vidhya

Introduction Ever had a bunch of text in your database that needed a quick fix? That’s where the SQL REPLACE function comes in handy! It lets you swap out all instances of a specific substring with a new one, making data cleanup a breeze. Imagine you have a typo scattered throughout your data—REPLACE can handle […] The post 6 Practical Ways to Clean Up Your Database Using SQL REPLACE() appeared first on Analytics Vidhya.

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From complexity to clarity: Future pathways for VMware clients

IBM Journey to AI blog

Today, VMware clients might be facing transformational decisions amidst an evolving landscape following Broadcom’s acquisition of VMware and in search of the best pathways to serve their business needs. However, this process can be complex and challenging, with the potential impacts of choosing the right offerings, adapting to licensing modifications and navigating the partnership impacts.

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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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YOLOv10: Revolutionizing Real-Time Object Detection

Analytics Vidhya

Introduction Imagine walking into a room and instantly recognizing every object around you: the chairs, the tables, the laptop on the desk, and even the cup of coffee in your hand. Now, imagine a computer doing the same thing, in the blink of an eye. This is the magic of computer vision, and one of […] The post YOLOv10: Revolutionizing Real-Time Object Detection appeared first on Analytics Vidhya.

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Top 10 DAX Functions in Power BI

Analytics Vidhya

Introduction Power BI uses a set of functions, operators, and constants called DAX to perform dynamic computations and analysis. One can enhance their Power BI competency by using DAX features that help in data modeling and reporting. This article examines the top DAX features that any Power BI user should know. What is Power BI? […] The post Top 10 DAX Functions in Power BI appeared first on Analytics Vidhya.

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The Role of Decentralized AI in Enhancing Cybersecurity

Unite.AI

In the digital realm, where interconnectivity is the norm, cybersecurity has become a pressing issue. The once-revered traditional centralized systems, designed to safeguard sensitive information, have proven to be inadequate in the face of escalating cyber threats. However, decentralized AI, a product of blockchain technology, offers a revolutionary shift in cybersecurity.

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What are Langchain Document Loaders?

Analytics Vidhya

Introduction LLMs (large language models) are becoming increasingly relevant in various businesses and organizations. Their ability to understand and analyze data and make sense of complex information can drive innovation, improve operational efficiency, and deliver personalized experiences across various industries. Integrating with various tools allows us to build LLM applications that can automate tasks, provide […] The post What are Langchain Document Loaders?

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Taming the Wild West of AI-generated search results

IBM Journey to AI blog

Companies are racing to integrate generative AI into their search engines, hoping to revolutionize the way users access information. However, this uncharted territory comes with a significant challenge: ensuring the accuracy and reliability of AI-generated search results. As AI models grapple with “ hallucinations “—producing content that fills in gaps with inaccurate information—the industry faces a critical question: How can we harness the potential of AI while minimizi

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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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Paper Summary: Princes and Merchants: European City Growth Before the Industrial Revolution

AI Impacts

by J. Bradford de Long and Andrei Shleifer. (1993) [link]. Summary: Freer societies have faster economic growth. One of the oldest themes in economics is the incompatibility of despotism and development. Economies in which security of property is lacking – because of either the possibility of arrest, ruin, or execution at the command of the ruling prince or the possibility of ruinous taxation – should experience relative stagnation.

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Use Claude 3.5 Sonnet With Audio Data & Latest Speech-to-Text Tutorials

AssemblyAI

🚀New: Claude 3 Models available in LeMUR We've added Anthropic's latest  Claude 3  model family into our  LeMUR  framework. This upgrade provides our users with access to more advanced AI capabilities for audio data analysis. Key features include:   Four new models available:   Claude 3.5 Sonnet: Most intelligent to date, outperforming Claude 3 Opus with the speed and cost of Claude 3 Sonnet  Claude 3 Opus: Excels at complex analysis and multi

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Alex Fink, Tech Executive, Founder & CEO of the Otherweb – Interview Series

Unite.AI

Alex Fink is a Tech Executive and the Founder and CEO of the Otherweb , a Public Benefit Corporation that uses AI to help people read news and commentary, listen to podcasts and search the web without paywalls, clickbait, ads, autoplaying videos, affiliate links, or any other ‘junk' content. Otherweb is available as an app (iOS and Android), a website, a newsletter, or a standalone browser extension.

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Are bigger language models always better?

IBM Journey to AI blog

In the race to dominate AI , bigger is usually better. More data and more parameters create larger AI systems, that are not only more powerful but also more efficient and faster, and generally create fewer errors than smaller systems. The tech companies seizing the news headlines reinforce this trend. “The system that we have just deployed is, scale-wise, about as big as a whale,” said Microsoft CTO Kevin Scott about the supercomputer that powers Chat GPT-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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Speed Meets Quality: How Adversarial Diffusion Distillation (ADD) is Revolutionizing Image Generation

Unite.AI

Artificial Intelligence (AI) has brought profound changes to many fields, and one area where its impact is intensely clear is image generation. This technology has evolved from generating simple, pixelated images to creating highly detailed and realistic visuals. Among the latest and most exciting advancements is Adversarial Diffusion Distillation (ADD) , a technique that merges speed and quality in image generation.

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Jensen Huang, Mark Zuckerberg to Discuss Future of Graphics and Virtual Worlds at SIGGRAPH 2024

NVIDIA

NVIDIA founder and CEO Jensen Huang and Meta founder and CEO Mark Zuckerberg will hold a public fireside chat on Monday, July 29, at the 50th edition of the SIGGRAPH graphics conference in Denver. The two leaders will discuss the future of AI and simulation and the pivotal role of research at SIGGRAPH, which focuses on the intersection of graphics and technology.

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Pathways to optimize, migrate, and modernize your VMware workloads on AWS

IBM Journey to AI blog

Our clients have unique transformation journeys based on their business strategy and business outcomes. As technology evolves and business needs change, it is essential for businesses to make sure that their infrastructure aligns with strategic goals, such as optimizing costs, improving performance or embracing a cloud-first approach. IBM Consulting® recognizes that VMware® clients face transformational decisions amidst an evolving landscape following Broadcom’s acquisition of VM

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CAMEL-AI Unveils CAMEL: Revolutionary Multi-Agent Framework for Enhanced Autonomous Cooperation Among Communicative Agents

Marktechpost

CAMEL-AI has recently announced the release of CAMEL , a groundbreaking communicative agent framework designed to enhance the scalability and autonomous cooperation among language model agents. The rapid progression of conversational and chat-based language models has ushered in the era of complex problem-solving capabilities. However, these advancements have predominantly depended on substantial human input to guide and direct conversations, posing a challenge in efficiency and scalability.

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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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Global effort produces first-ever decline in harmful HCFC levels

IBM Journey to AI blog

As much of the world’s nations struggle to make sufficient progress on reducing carbon emissions, new research has emerged showing that global collaboration can in fact reverse some of the harmful effects of human activity. A study published in the journal Nature Climate Change documented the first significant drop in atmospheric levels of hydrochlorofluorocarbons (HCFCs), harmful gases known to deplete the planet’s ozone layer.

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This AI Paper Introduces GAVEL: A System Combining Large Language Models and Evolutionary Algorithms for Creative Game Design

Marktechpost

Artificial intelligence (AI) is a multifaceted field involving technologies and methodologies designed to create systems capable of performing tasks that typically require human intelligence. These tasks range from simple pattern recognition to complex decision-making processes. AI applications, including autonomous vehicles, healthcare diagnostics, financial analysis, and game development, are widespread.

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From Tinder to Legal AI – LegalFly Bags €15m

Artificial Lawyer

Swipe right for contract approval…? A team previously with Tinder has raised €15m in a Series A round for their genAI-based contract review and drafting.

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Meet Gauge: A New AI Startup Building Open Source Tools to Solve the Microservices/Monolith Dilemma

Marktechpost

To succeed, startups need to move rapidly. Code sprawl and tightly coupled services are inevitable outcomes of prioritizing velocity above code quality as they expand. Because of this, implementing even minor features or refactorings becomes a huge hassle. At this point, many startups have started looking into microservices. Unfortunately, this is the equivalent of constructing a new home for the sink in an unclean kitchen.

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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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How Mixbook used generative AI to offer personalized photo book experiences

AWS Machine Learning Blog

This post is co-written with Vlad Lebedev and DJ Charles from Mixbook. Mixbook is an award-winning design platform that gives users unrivaled creative freedom to design and share one-of-a-kind stories, transforming the lives of more than six million people. Today, Mixbook is the #1 rated photo book service in the US with 26 thousand five-star reviews.

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Ten Tasks Achievable with GPT-4 that were not Possible with GPT-3.5

Marktechpost

GPT-4 introduces a range of advancements that empower it to perform tasks previously unattainable by its predecessor, GPT-3.5. Here, Let’s explore ten functions that highlight the enhanced capabilities of GPT-4, showcasing its potential across various domains. Advanced Multimodal Capabilities GPT-4 integrates advanced multimodal functionalities, allowing it to process and generate content that includes text, images, and even videos.

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Video auto-dubbing using Amazon Translate, Amazon Bedrock, and Amazon Polly

AWS Machine Learning Blog

This post is co-written with MagellanTV and Mission Cloud. Video dubbing, or content localization, is the process of replacing the original spoken language in a video with another language while synchronizing audio and video. Video dubbing has emerged as a key tool in breaking down linguistic barriers, enhancing viewer engagement, and expanding market reach.

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IBM Researchers Propose ExSL+granite-20b-code: A Granite Code Model to Simplify Data Analysis by Enabling Generative AI to Write SQL Queries from Natural Language Questions

Marktechpost

Researchers at IBM address the difficulty of extracting valuable insights from large databases, especially in businesses. The massive volume and variety of data make it difficult for employees to locate the necessary information. Writing SQL code required to retrieve data across multiple schemas and tables can be complex. This limitation hampers the ability of businesses to make strategic decisions by fully leveraging their data.

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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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How to Call Machine Learning Algorithms on R for Spatial Analysis.

Towards AI

Author(s): Stephen Chege-Tierra Insights Originally published on Towards AI. R has become ideal for GIS, especially for GIS machine learning as it has topnotch libraries that can perform geospatial computation. R has simplified the most complex task of geospatial machine learning and data science. As GIS is slowly embracing data science, mastery of programming is very necessary regardless of your perception of programming.

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The Real Deal on Language Model Optimizers: Performance and Practicality

Marktechpost

Training large-scale language models presents significant challenges, primarily due to the increasing computational costs and energy consumption as model sizes grow. This challenge is critical for the advancement of AI research because optimizing training efficiency allows for the development and deployment of more sophisticated language models without prohibitive resource requirements.

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Significance of Image Labeling in AI

Towards AI

Last Updated on July 17, 2024 by Editorial Team Author(s): Rayan Potter Originally published on Towards AI. The capability of AI to see and perceive its surroundings has myriad advantages. In this blog, we will explore further the invaluable role image labeling plays in training AI to see like humans. Image labeling plays an invaluable role in AI by training machine learning models to identify an image and classes of objects within it.