Mon.Jun 10, 2024

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What is Labeled Data?

Analytics Vidhya

Introduction Many contemporary technologies, especially machine learning, rely heavily on labeled data. In supervised learning, models train using previous input-output pairs to generate predictions or classifications, relying on datasets where each element has an annotation with a label providing background information or indicating expected results.

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Seven top central processing unit (CPU) use cases

IBM Journey to AI blog

The central processing unit (CPU) is the computer’s brain, assigning and processing tasks and managing essential operational functions. Computers have been so seamlessly integrated with modern life that sometimes we’re not even aware of how many CPUs are in use around the world. It’s a staggering amount—so many CPUs that a conclusive figure can only be approximated.

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How to Use DDL Commands in SQL

Analytics Vidhya

Introduction SQL (Structured Query Language) is an important topic to understand while working with databases. It allows us to interact with databases efficiently. Data Definition Language (DDL) commands stand out among its many functions. These commands help define and manage the structure of database objects, making them essential for any database system.

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Digital Humans Are Not Just AI with a Face

Unite.AI

Digital humans used to be simple chatbots that often misunderstood questions, which many people found frustrating. Now, they've evolved into advanced virtual agents that can communicate as effectively as the best customer service representatives, possess expert-level knowledge, and look strikingly like real humans. These advanced digital beings do much more than just add a face to customer service; they are revolutionizing how we think about and use artificial intelligence.

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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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Understanding SQL Not Equal Operator

Analytics Vidhya

Introduction In SQL, comparison operators are crucial for querying databases. They help compare values and filter data based on conditions. The SQL Not Equal operator is one of the most used. It excludes specific data from query results, making it vital for database management. This operator refines data retrieval, ensuring you get relevant information.

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What is A* Algorithm? 

Analytics Vidhya

Introduction The A* (A-star) algorithm is primarily used for pathfinding and graph traversal. It is famous for its efficiency in determining the shortest path. Fields such as artificial intelligence, robotics, and game development rely on this algorithm. The A* algorithm’s key strength lies in its systematic exploration of a graph or grid. Starting from an […] The post What is A* Algorithm?

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5 SLA metrics you should be monitoring

IBM Journey to AI blog

In business and beyond, communication is king. Successful service level agreements (SLAs) operate on this principle, laying the foundation for successful provider-customer relationships. A service level agreement (SLA) is a key component of technology vendor contracts that describes the terms of service between a service provider and a customer. SLAs describe the level of performance to be expected, how performance will be measured and repercussions if levels are not met.

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What is a Vector Database?

Analytics Vidhya

Introduction The use of vector databases has revolutionized data administration. They primarily address the requirements of contemporary applications handling high-dimensional data. Traditional databases use tables and rows to store and query structured data. Vector databases manage data using high-dimensional vectors or numerical arrays representing intricate characteristics of diverse data types like text, photos, or user […] The post What is a Vector Database?

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Can LLM-based eval replace human evaluation?

Ehud Reiter

I’ve had several chats over the past month about whether LLM-based evaluation can replace human evaluation. Ie, evaluate texts by asking GPT (etc) to assess their quality, instead of people. Of course the LLM evaluation must be done well, for example LLMs should not be asked to evaluate their own output (ie, do not ask GPT4 to evaluate text produced by GPT4).

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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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Introduction to Seasonality in Time Series

Analytics Vidhya

Introduction Trends that repeat themselves over days or months are called seasonality in time series. Seasonal changes, festivals, and cultural events often bring about these variances. Understanding these patterns is essential since they greatly influence corporate results and decision-making. By analyzing these trends, businesses may more successfully plan, forecast, and adapt to predictable changes throughout […] The post Introduction to Seasonality in Time Series appeared first on Anal

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Med-Gemini: Transforming Medical AI with Next-Gen Multimodal Models

Unite.AI

Artificial intelligence (AI) has been making waves in the medical field over the past few years. It's improving the accuracy of medical image diagnostics, helping create personalized treatments through genomic data analysis, and speeding up drug discovery by examining biological data. Yet, despite these impressive advancements, most AI applications today are limited to specific tasks using just one type of data, like a CT scan or genetic information.

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Apple Joins the AI League with Apple Intelligence

Analytics Vidhya

Apple finally jumped into the AI game with Apple Intelligence, a new feature announced at WWDC 2024. The company promises a powerful and personal AI assistant that integrates across iPhones, iPads and Macs. Here’s a quick breakdown of the key features. Overview Siri with a New Look Apple Intelligence brings a significant upgrade to Siri. […] The post Apple Joins the AI League with Apple Intelligence appeared first on Analytics Vidhya.

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Josh Wong, Founder & CEO of ThinkLabs AI – Interview Series

Unite.AI

Josh Wong is the Founder and CEO of ThinkLabs AI. He previously worked at GE Vernova as a General Manager, Grid Orchestration. Josh Wong attended the University of Waterloo. ThinkLabs AI is a specialized AI development and deployment company. Its mission is to empower critical industries and infrastructure with trustworthy AI aimed at achieving global energy sustainability.

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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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Understanding the Importance of Synthetic Data

Analytics Vidhya

Introduction We all know about Artificial Intelligence, don’t we? It is revolutionizing the technological landscape worldwide and is expected to grow enormously within the next decade. As AI marks its presence in industries worldwide, it goes without saying that we are looking at a world where life without AI will seem impossible. AI is making […] The post Understanding the Importance of Synthetic Data appeared first on Analytics Vidhya.

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AI Set To Take Center Stage at Today’s Apple WWDC Conference

Unite.AI

Apple's annual Worldwide Developers Conference (WWDC) is set to take center stage today with AI expected to be the main focus. The WWDC event serves as a platform for Apple to showcase its latest software innovations and features, making it a highly anticipated gathering for developers and tech enthusiasts alike. This year's conference promises to be particularly groundbreaking, as Apple is poised to unveil its ambitious AI initiative and its integration across the company's ecosystem, including

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Researchers at the University of Illinois have developed AI Agents that can Autonomously Hack Websites and Find Zero-Day Vulnerabilities

Marktechpost

We all know AI is getting smarter every day, but you’ll never guess what these researchers just accomplished. A team from the University of Illinois has unleashed AI agents that can autonomously hack websites and exploit real-world zero-day vulnerabilities – security holes that even the developers don’t know about yet. That’s right, the age of AI hacking is here.

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Apple WWDC: Unleashing the Power of AI and Spatial Computing with Groundbreaking Updates

Unite.AI

The recent Apple Worldwide Developers Conference (WWDC) showcased significant updates across Apple's platforms, introducing new features and enhancements designed to elevate user experience and developer capabilities. The event highlighted advancements in AI, updates to various operating systems, and notable improvements in Apple’s hardware and services.

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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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Top Artificial Intelligence AI Courses from GitLab

Marktechpost

GitLab offers AI features like code suggestions, vulnerability explanations, and DevSecOps automation, which streamline development processes. These features leverage AI to enhance code quality, improve security, and accelerate deployment. GitLab’s AI courses provide practical guidance on utilizing these features effectively, enabling developers to leverage AI for more efficient and secure software development.

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Legal Profession Split on How to Regulate AI Use

Artificial Lawyer

A survey of UK lawyers by Thomson Reuters has found a divided picture over how AI should be regulated, with 44% of inhouse lawyers seeking Government regulation, but with 50% of them seeking a more…

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Micro Agent: An AI Agent that Writes and Fixes Code for You

Marktechpost

Developers frequently encounter the issue of AI-generated code not working as expected. AI language models can produce code snippets, but these often require multiple rounds of debugging and refinement. This slows down the development, making the process time-consuming. Traditional tools and methods offer some relief but aren’t fully effective.

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Thomson Reuters Contradicts Stanford GenAI Study – ‘We Are 90% Accurate’

Artificial Lawyer

Thomson Reuters has contradicted the findings of a recent Stanford HAI study into its genAI research capability within Westlaw Precision, and stated ‘our thorough internal.

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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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From Low-Level to High-Level Tasks: Scaling Fine-Tuning with the ANDROIDCONTROL Dataset

Marktechpost

Large language models (LLMs) have shown promise in powering autonomous agents that control computer interfaces to accomplish human tasks. However, without fine-tuning on human-collected task demonstrations, the performance of these agents remains relatively low. A key challenge lies in developing viable approaches to build real-world computer control agents that can effectively execute complex tasks across diverse applications and environments.

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Really? AI Revolution is Losing Steam?

Towards AI

Author(s): Kelvin Lu Originally published on Towards AI. Photo by Viktor Kirichenko on Unsplash Over the past few months, several significant developments have occurred: Nvidia unveiled BlackWell, Microsoft launched Phi-3, and Meta introduced Llama 3. We also saw the debut of Sora, GPT-4o, and Gemini. Amid these exciting announcements, there was a less positive piece of news: Stability AI’s CEO stepped down.

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Can Machines Plan Like Us? NATURAL PLAN Sheds Light on the Limits and Potential of Large Language Models

Marktechpost

Natural language processing (NLP) involves using algorithms to understand and generate human language. It is a subfield of artificial intelligence that aims to bridge the gap between human communication and computer understanding. This field covers language translation, sentiment analysis, and language generation, providing essential tools for technological advancements and human-computer interaction.

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Announcing General Availability of Predictive Optimization

databricks

We're excited to announce the General Availability of Databricks Predictive Optimization. This capability intelligently optimizes your table data layouts for faster queries and.

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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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History, AI, and Non-Consumption: Part II, The Innovation Paradox

Towards AI

Last Updated on June 10, 2024 by Editorial Team Author(s): Adel Zaalouk Originally published on Towards AI. In part I of this series, we delved into the history of AI, journeying through periods of both promise and stagnation known as “AI Winters.” Today, we’re zooming in on the “why” behind these winters, examining the concept of “nonconsumption” and how it relates to AI’s adoption.

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Microsoft to Update Recall After Experts Point Out Glaring Security Risks

Extreme Tech

The AI-powered 'photographic memory' feature will incorporate just-in-time decryption and Windows Hello authentication to keep the creeps at bay.

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What I Learned From Creating an AI of Myself

Towards AI

Last Updated on June 10, 2024 by Editorial Team Author(s): Sarah Cordivano Originally published on Towards AI. And why customized AIs make me optimistic for the future Have you ever wanted to clone yourself? I don’t mean physically, but rather technologically. Extract the expertise and knowledge you’ve spent a lifetime accumulating and “open source” it.

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