Mon.Jan 15, 2024

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IMF: AI could boost growth but worsen inequality

AI News

The International Monetary Fund (IMF) predicts that AI could boost global productivity and growth, but may displace jobs and worsen inequality. In a new analysis, IMF economists examined AI’s potential impact on the global labour market. While many studies foresee jobs being automated by AI, the technology will often complement human work instead.

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What Does Quantum Computing Hold for Generative AI?

Unite.AI

Generative AI , such as large language models (LLMs) like ChatGPT, is experiencing unprecedented growth, as showcased in a recent survey by McKinsey Global. These models, designed to generate diverse content ranging from text and visuals to audio, find applications in healthcare, education, entertainment, and businesses. However, the expansive benefits of generative AI are accompanied by significant financial and environmental challenges.

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How To Create 3D Images For Instagram Using Bing AI?

Analytics Vidhya

Introduction In the realm of artificial intelligence, Bing AI has emerged as a powerful tool, offering many features that can revolutionize how we interact with digital content. One such feature is the ability to create 3D images, which has significant implications for social media platforms. The importance of 3D images in social media cannot be […] The post How To Create 3D Images For Instagram Using Bing AI?

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AI-Driven Platform Could Streamline Drug Development

Unite.AI

Researchers at the University of Cambridge have developed an AI-driven platform that dramatically accelerates the prediction of chemical reactions, a crucial step in drug discovery. Moving away from traditional trial-and-error methods, this innovative approach combines automated experiments with machine learning. This advancement, validated on over 39,000 pharmaceutically relevant reactions, could significantly streamline the process of creating new drugs.

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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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Kill Processes in Linux: Understanding the Kill Command

Analytics Vidhya

Introduction In the world of Linux, managing processes is a crucial task for system administrators and users alike. Sometimes, it becomes necessary to terminate or kill processes in Linux, causing issues or consuming excessive resources. This article will explore understanding the kill command in Linux, providing you with the knowledge and tools to manage your […] The post Kill Processes in Linux: Understanding the Kill Command appeared first on Analytics Vidhya.

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Chinese Government and Military Acquire Nvidia Chips Amidst US Export Ban

Analytics Vidhya

In a bold move, Chinese military bodies, state-run AI research institutes, and universities have managed to acquire Nvidia chips, defying the US export ban. Despite multiple restrictions, the demand for these high-end chips remains robust, raising questions about the efficacy of US efforts to cut off China’s access to advanced semiconductors. Also Read: Game Changer […] The post Chinese Government and Military Acquire Nvidia Chips Amidst US Export Ban appeared first on Analytics Vidh

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5 key areas for governments to responsibly deploy generative AI

IBM Journey to AI blog

In 2024, the ongoing process of digitalization further enhances the efficiency of government programs and the effectiveness of policies, as detailed in a previous white paper. Two critical elements driving this digital transformation are data and artificial intelligence (AI). AI plays a pivotal role in unlocking value from data and gaining deeper insights into the extensive information that governments collect to serve their citizens.

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Mastering f-strings in Python: The Ultimate Guide to String Formatting

Analytics Vidhya

Introduction String formatting is an essential aspect of programming, allowing us to manipulate and present data in a readable and organized manner. In Python, several methods are available for string formatting, each with its advantages and use cases. One such method is f-strings, which provide a concise and efficient way to format strings. In this […] The post Mastering f-strings in Python: The Ultimate Guide to String Formatting appeared first on Analytics Vidhya.

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Unlocking value: Top digital transformation trends

IBM Journey to AI blog

While digital transformation has been a trend for some years, emerging technologies have made this movement even more important. Companies are rethinking their business models to become more digital and competitive. They face an ever-increasing cadre of startups and established organizations, all of whom are also trying to keep up to date on digital transformation trends to achieve a competitive edge.

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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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Apple to Shut Down AI Team in San Diego

Analytics Vidhya

In an unexpected turn of events, tech giant Apple has announced the shutdown of its Data Operations Annotations team in San Diego, sending shockwaves through the AI community. With 121 employees facing a tough choice between relocation and potential job loss, the decision comes as part of a broader reorganization within the company. Let’s delve […] The post Apple to Shut Down AI Team in San Diego appeared first on Analytics Vidhya.

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How IBM process mining unleashed new efficiencies in BoB-Cardif Life

IBM Journey to AI blog

Enterprises now recognize the importance of leveraging innovative technologies to drive digital transformation and achieve cost efficiency. However, a lack of precise top-level planning and a narrow focus on technology without integration with business needs led to significant investments with suboptimal results for many companies. The path of digital transformation is fraught with challenges.

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Comprehensive Guide to Excel Interview Questions

Analytics Vidhya

Introduction Excel, a powerful tool in the world of data analysis and business, is a must-have skill for many job roles. This article aims to provide a comprehensive guide to Excel interview questions, covering basic, average, and advanced levels. Whether you’re a beginner or an expert, this guide will help you prepare for your next […] The post Comprehensive Guide to Excel Interview Questions appeared first on Analytics Vidhya.

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CodePal Review: Can I Instantly Generate Code with AI?

Unite.AI

In today's digital age, coding has become an essential skill across various industries. From app development to web design, coding is at the heart of many technological advancements. However, if you're like me, not everyone has the time to learn coding from scratch. As someone with a background in design and little to no experience in coding (I took one Computer Science course when I was in college), CodePal caught my attention.

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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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Quiz of the Day (MLOps) #9

Analytics Vidhya

Ready to challenge your knowledge! This quiz series features 10 thought-provoking questions on MLOps Interview Questions and MLOps Guide. Whether you’re an expert or a curious learner, our quizzes cater to all levels. Embark on this journey of continuous learning and test your knowledge across pivotal topics shaping the future of analytics and technology.

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Navigating the Future: AI’s Impact on Remote Work Dynamics and Innovation

Unite.AI

The landscape of work has undergone a significant transformation in recent years, with remote work emerging as a prevalent mode of operation. As organizations adapt to this new normal, the integration of artificial intelligence (AI) into remote work environments has played a pivotal role in reshaping dynamics, driving innovation, and streamlining operations.

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Direct Preference Optimization (DPO): Andrew Ng’s Perspective on the Next Big Thing in AI

Analytics Vidhya

In the dynamic realm of language model development, a recent groundbreaking paper titled “Direct Preference Optimization (DPO)” by Rafael Rafailov, Archit Sharma, Eric Mitchell, Stefano Ermon, Chris Manning, and Chelsea Finn, has captured the attention of AI luminaries like Andrew Ng. This article delves into the revolutionary aspects of DPO and its potential to redefine […] The post Direct Preference Optimization (DPO): Andrew Ng’s Perspective on the Next Big Thing in AI

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Bringing the full power of Copilot to more people and businesses

Microsoft AI

As we kick off a new year, we’re thrilled to see people increasingly using and loving Microsoft Copilot for work and life. Our goal is to empower every person and every organization on the planet to achieve more by bringing Copilot, the everyday AI companion, to millions of people around the world. We have reached.

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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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AI Will Now Manage Bengaluru Traffic

Analytics Vidhya

Bengaluru, known for its bustling streets and chronic traffic issues, is set to undergo a transformative change. The city’s traffic department has launched an application, named ASTraM (Actionable Intelligence for Sustainable Traffic Management), for better traffic management. The AI-powered app revolutionizes traffic management by providing real-time insights and strategic solutions to address the city’s notorious […] The post AI Will Now Manage Bengaluru Traffic appeared firs

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CMU AI Researchers Unveil TOFU: A Groundbreaking Machine Learning Benchmark for Data Unlearning in Large Language Models

Marktechpost

LLMs are trained on vast amounts of web data, which can lead to unintentional memorization and reproduction of sensitive or private information. This raises significant legal and ethical concerns, especially regarding violating individual privacy by disclosing personal details. To address these concerns, the concept of unlearning has emerged. This approach involves modifying models after training to deliberately ‘forget’ certain elements of their training data.

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AI Can Learn to Deceive: Anthropic Research

Analytics Vidhya

In a startling revelation, researchers at Anthropic have uncovered a disconcerting aspect of Large Language Models (LLMs) – their capacity to behave deceptively in specific situations, eluding conventional safety measures. The study delves into the nuances of AI behavior and raises critical questions about the potential risks associated with advanced language models.

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This AI Paper from Apple Unveils AlignInstruct: Pioneering Solutions for Unseen Languages and Low-Resource Challenges in Machine Translation

Marktechpost

Machine translation, an integral branch of Natural Language Processing, is continually evolving to bridge language gaps across the globe. One persistent challenge is the translation of low-resource languages, which often need more substantial data for training robust models. Traditional translation models, primarily based on large language models (LLMs), perform well with languages abundant in data but need help with underrepresented languages.

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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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World Economic Forum Highlights AI as a Global Threat

Analytics Vidhya

The World Economic Forum (WEF) has recently unveiled its 19th Global Risks Report, shedding light on the emergence of artificial intelligence (AI) and quantum computing as significant global threats. In this comprehensive analysis, we delve into the multifaceted implications outlined by the WEF, ranging from adverse outcomes to potential disruptions across industries.

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This AI Paper from China Unveils ‘Activation Beacon’: A Groundbreaking AI Technique to Expand Context Understanding in Large Language Models

Marktechpost

Large language models (LLMs) face a hurdle in handling long contexts due to their constrained window length. Although the context window length can be extended through fine-tuning, this incurs significant training and inference time costs, adversely affecting the LLM’s core capabilities. Current LLMs, such as Llama-1 and Llama-2, have fixed context lengths, hindering real-world applications.

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Google Cloud Revolutionizes Retail with GenAI Products

Analytics Vidhya

In a bid to reshape the retail landscape, Google Cloud has introduced cutting-edge generative AI (GenAI) products at the National Retail Federation’s annual conference in NYC. These innovative solutions aim to personalize online shopping experiences and optimize back-office operations, signaling Google’s strong push into the GenAI market.

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Meet MedGAN: A Deep Learning Model based on Wasserstein Generative Adversarial Networks and Graph Convolutional Networks for Novel Molecule Design

Marktechpost

The growing urgency for innovative drugs in various medical fields, such as antibiotics, cancer treatments, autoimmune disorders, and antiviral therapies, underscores the need for increased research and development efforts. Drug discovery, a complex process involving exploring a vast chemical space, can benefit from computational methods and, more recently, deep learning.

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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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The Ultimate Guide to Acing Your Git Interview Questions in 2024

Analytics Vidhya

Introduction In today’s software development landscape, Git has become an essential tool for version control. Whether you are a beginner or an experienced developer, having a strong understanding of Git is crucial for success. This article will explore 40 Git interview questions to help you prepare for your next job interview in 2024. Also Read: […] The post The Ultimate Guide to Acing Your Git Interview Questions in 2024 appeared first on Analytics Vidhya.

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This AI Paper Demonstrates How Decoder-Only Transformers Mimic Infinite Multi-State Recurrent Neural Networks RNNs and Introduces TOVA for Enhanced Efficiency

Marktechpost

Transformers have taken over from recurrent neural networks (RNNs) as the preferred architecture for natural language processing (NLP). Transformers stand out conceptually because they directly access each token in a sequence, unlike RNNs that rely on maintaining a recurring state of past inputs. Decoders have emerged as a prominent variant within the realm of transformers.

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What are the Differences Between Yield and Return in Python?

Analytics Vidhya

Introduction Python is a versatile programming language that offers a variety of features to make coding easier and more efficient. Two such features are yield and return, which are often used interchangeably but have distinct differences. In this blog, we will explore the power of yield and return in Python and understand when to use […] The post What are the Differences Between Yield and Return in Python?

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