Wed.Feb 21, 2024

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Understanding Python Closures: Deep Dive into Functional Programming

Analytics Vidhya

Introduction Python’s elegance lies in its syntax and rich set of programming constructs, among which closures stand out as a powerful tool for encapsulation and code organization. Closures enable functions to retain access to variables from their enclosing scope, fostering modularity and enhancing code clarity. In this exploration of closures, we unravel their inner workings […] The post Understanding Python Closures: Deep Dive into Functional Programming appeared first on Analytics

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Microsoft is quadrupling its AI and cloud investment in Spain

AI News

Microsoft has announced plans to significantly boost its investment in AI and cloud infrastructure in Spain, with a commitment to quadruple its spending during 2024-2025 to reach $2.1 billion. This substantial increase marks the largest investment by Microsoft in Spain since its establishment in the country 37 years ago. The tech giant is set to unveil new data centres in Madrid and has outlined its intention to construct additional centres in Aragon, catering to European companies and public en

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You can now Prepare for any Interview using Liftoff AI Mock Interview Platform

Analytics Vidhya

Do you get nervous thinking about job interviews? Mock interviews can help you overcome that fear. Introducing Liftoff AI – an intelligent platform that boosts your confidence for interviews. Whether you’re experienced or just starting, Liftoff gives you the tools and tips to do great in your next interview and get your dream job. What […] The post You can now Prepare for any Interview using Liftoff AI Mock Interview Platform appeared first on Analytics Vidhya.

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Otter AI Review: Is It the Most Accurate AI Transcriber?

Unite.AI

Are you tired of juggling pens, papers, and digital notes during meetings, only to end up with a disorganized mess? Taking notes during meetings can often feel like a chore, especially when trying to participate in discussions and capture crucial information simultaneously actively. The struggle is real, from deciphering your handwriting to missing key points while you scribble.

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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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Google Unveils Gemma: A New Era of Open-Source AI Models

Analytics Vidhya

Google has announced the launch of Gemma, a groundbreaking addition to its array of AI models. Developed with the aim of fostering responsible AI development, Gemma stands as a testament to Google’s commitment to making AI accessible to all. Let’s delve into the intricacies of this new release and its potential impact on the tech […] The post Google Unveils Gemma: A New Era of Open-Source AI Models appeared first on Analytics Vidhya.

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Adobe Introduces AI Assistant to Communicate with PDF Files

Analytics Vidhya

In a bid to revolutionize the way users engage with PDF documents, Adobe has rolled out an innovative AI assistant feature embedded within its Reader and Acrobat applications. This transformative tool aims to streamline document analysis and comprehension by generating summaries, answering queries, and offering tailored insights—all within the familiar interface of Acrobat and Reader. […] The post Adobe Introduces AI Assistant to Communicate with PDF Files appeared first on Analytics Vidhy

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Empowering Large Vision Models (LVMs) in Domain-Specific Tasks through Transfer Learning

Unite.AI

Computer vision is a field of artificial intelligence that aims to enable machines to understand and interpret visual information, such as images or videos. Computer vision has many applications in various domains, such as medical imaging, security, autonomous driving, and entertainment. However, developing computer vision systems that perform well on different tasks and domains is challenging, requiring a lot of labeled data and computational resources.

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Hugging Face Releases World’s Largest Open Synthetic Dataset

Analytics Vidhya

Hugging Face introduces Cosmopedia v0.1, marking a significant leap in the realm of synthetic datasets. Boasting over 30 million samples and a staggering 25 billion tokens, this dataset, generated by Mixtral, aims to compile global knowledge sourced from diverse web datasets. Let’s delve into the details of this groundbreaking development. Also Read: Mistral AI Introduces […] The post Hugging Face Releases World’s Largest Open Synthetic Dataset appeared first on Analytics Vidhy

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Nvidia’s Defining Moment: Today’s Earnings Report and Future Trajectory

Unite.AI

As the tech world eagerly awaits the latest financial revelations, Nvidia stands at the forefront, not just as a market leader, but as a symbol of innovation and growth in the ever-evolving technology sector. Known predominantly for its groundbreaking graphics processing units (GPUs), Nvidia has transcended its role from a gaming-centric company to a titan in the realm of artificial intelligence (AI) and data processing.

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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 Instant Images using Leonardo AI ?

Analytics Vidhya

Introduction Ever wished for a specific picture but couldn’t find it online? Well, AI image generators might just be the solution. With tools like Leonardo AI, you can describe what you want, and poof! The image appears. From making logos to creating party invites, these generators cover a lot. In this article, I will take […] The post How to Create Instant Images using Leonardo AI ?

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Shining Brighter Together: Google’s Gemma Optimized to Run on NVIDIA GPUs

NVIDIA

NVIDIA, in collaboration with Google, today launched optimizations across all NVIDIA AI platforms for Gemma — Google’s state-of-the-art new lightweight 2 billion – and 7 billion -parameter open language models that can be run anywhere, reducing costs and speeding innovative work for domain-specific use cases. Teams from the companies worked closely together to accelerate the performance of Gemma — built from the same research and technology used to create the Gemini models — with NVIDIA Te

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How to use AutoGen Studio Locally using LM Studio or Text-Generation-Web-UI

Analytics Vidhya

Introduction AutoGen Studio, powered by the AutoGen framework, is a revolutionary platform for developing AI agents that seamlessly collaborate to accomplish tasks. In this blog post, we will explore the capabilities of AutoGen Studio and integrate it with free alternatives of OpenAI like Text Generation Web UI and LM Studio. By the end of this […] The post How to use AutoGen Studio Locally using LM Studio or Text-Generation-Web-UI appeared first on Analytics Vidhya.

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Cornell Researchers Introduce Graph Mamba Networks (GMNs): A General Framework for a New Class of Graph Neural Networks Based on Selective State Space Models

Marktechpost

Graph-based machine learning is undergoing a significant transformation, largely propelled by the introduction of Graph Neural Networks (GNNs). These networks have been pivotal in harnessing the complexity of graph-structured data, offering innovative solutions across various domains. Despite their initial success, traditional GNNs face critical challenges, particularly those relying on local message-passing mechanisms.

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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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Wipro and Intel Forge Alliance to Fuel AI Chip Innovation

Analytics Vidhya

Wipro Limited, a leading IT company, has unveiled an expanded collaboration with Intel Foundry, aimed at accelerating innovation in AI chip design. This alliance signifies a strategic move to cater to the burgeoning demand for advanced artificial intelligence technologies. Let’s explore the industry implications of this partnership. Also Read: SoftBank Plans $100 Billion AI Chip […] The post Wipro and Intel Forge Alliance to Fuel AI Chip Innovation appeared first on Analytics Vidhya.

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Transform Your Understanding of Attention: EPFL’s Cutting-Edge Research Unlocks the Secrets of Transformer Efficiency!

Marktechpost

Integrating attention mechanisms into neural network architectures in machine learning has marked a significant leap forward, especially in processing textual data. At the heart of these advancements are self-attention layers, which have revolutionized our ability to extract nuanced information from sequences of words. These layers excel in identifying the relevance of different parts of the input data, essentially focusing on the ‘important’ parts to make more informed decisions.

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30+ MCQs on Python OOPs Concepts

Analytics Vidhya

Welcome to the Python OOPs Concepts MCQs! Object-Oriented Programming (OOP) is a powerful paradigm in Python that allows you to create classes and objects, encapsulate data and methods, and implement inheritance, polymorphism, and abstraction. These questions will test your understanding of various OOP concepts in Python, including classes, objects, inheritance, encapsulation, and polymorphism.

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A New AI Research Introduces a Unique Approach to Indirect Reasoning (IR) Using Contrapositive and Contradiction Ideas for Automated Reasoning

Marktechpost

With the rapid increase in the popularity of Artificial Intelligence (AI) and Large Language Models (LLMs), there has been a growing interest in augmenting the reasoning capabilities of LLMs to handle increasingly complex tasks. Existing methods, such as Chain-of-Thought and Self-Consistency, mostly function inside the Direct Reasoning (DR) paradigm.

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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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Machine Learning and Operations Research for Optimizing Assortment Size

Towards AI

Last Updated on February 22, 2024 by Editorial Team Author(s): Alexandre Warembourg Originally published on Towards AI. Explore my journey in tackling a multi-objective constrained optimization problem to achieve assortment reduction without losing customers and revenue using genetic algorithms and machine learning.Source : Dall-E In retail, assortment planning is critical.

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Enabling Seamless Neural Model Interoperability: A Novel Machine Learning Approach Through Relative Representations

Marktechpost

In the cutting-edge sphere of machine learning, manipulating and comprehending data within vast, high-dimensional spaces are formidable challenges. At the heart of numerous applications, from the nuanced realms of image and text analysis to the intricate networks of graph-based tasks, lies the endeavor to distill the essence of data into latent representations.

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Gemma: Introducing new state-of-the-art open models

DeepMind

Gemma is a family of lightweight, stateu002Dofu002Dthe art open models built from the same research and technology used to create the Gemini models.

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Meet BootsTAP: An Effective Method for Leveraging Large-Scale, Unlabeled Data to Improve TAP (Tracking-Any-Point) Performance

Marktechpost

In the past few years, generalist AI systems have shown remarkable progress in the field of computer vision and natural language processing and are widely used in many real-world settings, such as robotics, video generation, and 3D asset creation. Their capabilities lead to better efficiency and an enhanced user experience. However, their applications in these fields are limited by the lack of physical and spatial reasoning of these models.

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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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Top Important Computer Vision Papers for the Week from 12/02 to 18/02

Towards AI

Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Computer Vision Research Every week, several top-tier academic conferences and journals showcased innovative research in computer vision, presenting exciting breakthroughs in various subfields such as image recognition, vision model optimization, generative adversarial networks (GANs), image segmentation, video analysis, and more.

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Meta Reality Labs Introduce Lumos: The First End-to-End Multimodal Question-Answering System with Text Understanding Capabilities

Marktechpost

Artificial intelligence has significantly advanced in developing systems that can interpret and respond to multimodal data. At the forefront of this innovation is Lumos, a groundbreaking multimodal question-answering system designed by researchers at Meta Reality Labs. Unlike traditional systems, Lumos distinguishes itself by its exceptional ability to extract and understand text from images, enhancing the input to Multimodal Large Language Models (MM-LLMs).

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Keeping up with ML Research: A Tool to Navigate the ML Innovation Maze

Towards AI

Author(s): Alessandro Amenta Originally published on Towards AI. Image generated with DALL-E 3 In the fast-paced world of Machine Learning (ML) research, keeping up with the latest findings is crucial and exciting, but let’s be honest — it’s also a challenge. With a constant stream of advancements and new publications, it’s tough to pinpoint the research that matters to you.

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AWS AI Labs Introduce CodeSage: A Bidirectional Encoder Representation Model for Source Code

Marktechpost

In the evolving landscape of artificial intelligence, the quest to refine the interaction between machines and programming languages is more intense than ever. This exploration delves into the nuanced realm of code representation learning, a field that bridges human and computational understanding of programming languages. Traditional approaches, while foundational, have encountered limitations, notably in model scale and data scope, which impede the nuanced comprehension required for advanced c

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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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Textured Solar Cells Could Capture 66% More Sunlight

Extreme Tech

A theoretical study out of Turkey shows that braille-like bumps would allow light to enter the cell from a wider range of directions.

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This AI Paper Unveils a New Method for Statistically-Guaranteed Text Generation Using Non-Exchangeable Conformal Prediction

Marktechpost

Natural language generation (NLG) is a critical area in AI, enabling applications such as machine translation (MT), language modeling (LM), summarization, and more. Recent advancements in large language models (LLMs) like GPT-4, BLOOM, and LLaMA have revolutionized how we interact with AI, using stochastic decoding to generate fluent and diverse text.

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Announcing the General Availability of Azure Private Link and Azure Storage firewall support for Databricks SQL Serverless

databricks

We are excited to announce the upcoming general availability of Azure Private Link support for Databricks SQL (DBSQL) Serverless, planned in April 2024.

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