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Market research is the backbone of customer-driven decision-making, yet gathering reliable insights has never been more challenging. At the same time, evolving privacy […] The post Transforming Market Research with Synthetic Panels appeared first on Analytics Vidhya.
The King RAGent is a powerful, open-source research assistant built on LangChain’s Retrieval-Augmented Generation (RAG) patterns. Whether […] The post The King RAGent: Your AI-Powered Research Assistant appeared first on Analytics Vidhya.
By highlighting the significant impact of these discoveries on current applications and […] The post 10 Must Read Machine Learning Research Papers appeared first on Analytics Vidhya.
Introduction Navigating the dense jungle of academic research can be a daunting task. With their intricate arguments and specialized language, research papers often leave readers needing help to grasp the core message.
“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.
Introduction A research analyst plays a pivotal role in organizations across various industries, offering insights that drive informed decisions. This comprehensive guide will walk you through the journey to becoming a […] The post How to Become a Research Analyst? But how can you embark on this exciting career path?
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.
In a groundbreaking development, researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have introduced a novel method leveraging artificial intelligence (AI) agents to automate the explanation of intricate neural networks.
This report explores how the state of supply chain network design has changed – including how the tools, maturity models, and market demands are transforming the network design practice. This report is useful if you are interested in: Exploring new network design insights and capabilities. Industry benchmarks.
Data management is the foundation of quantitative research. Quant researchers spend approximately 80% of their time on necessary but not impactful data management tasks such as data ingestion, validation, correction, and reformatting. As mentioned earlier, 80% of quantitative research work is attributed to data management tasks.
OpenAI has just launched its new AI research agent – Deep Research. As the name suggests, this new agent is capable of doing detailed research and creating analytical reports, comprehensive articles, technical papers, and more. In this article, […] The post OpenAI vs Google: Who Does Deep Research Better?
However, it is crucial to recognize the widespread experimentation and […] The post Top 10 Countries Leading in AI Research & Technology in 2024 appeared first on Analytics Vidhya. Countries like the US and China often steal the spotlight for their substantial contributions to the AI industry.
Every year, at the conference, a jury chooses the best […] The post 16 Best Research Papers on AI: ICLR 2024 Outstanding Paper Awards appeared first on Analytics Vidhya. This annual conference is a pioneer gathering of globally renowned professionals dedicated to the advancement of AI or Representation Learning (RL).
“The ability to easily pull relevant and trustworthy data from all your sources is essential for the strong execution of business intelligence initiatives,” said Howard Dresner, president, founder and chief research officer at Dresner Advisory Services. Download the research report to learn: Emerging business intelligence trends.
Introduction With the advancement of AI, scientific research has seen a massive transformation. It is […] The post What is PaperQA and How Does it Assist in Scientific Research? Millions of papers are published annually on different technologies and sectors. appeared first on Analytics Vidhya.
As the chief research officer at IDC, I lead a global team of analysts who develop research and provide advice to help our clients navigate the technology landscape. Our research indicates a scramble to identify and experiment with use cases in most business functions within an enterprise.
But don’t worry – a brilliant team of researchers has just dropped a game-changing paper that’s got the whole ML community buzzing. In the paper that recently won the ICML 2024 Best […] The post This Research Paper on Dataset Diversity Won the ICML 2024 Best Paper Award appeared first on Analytics Vidhya.
OpenAI has rolled out the Deep Research feature to all ChatGPT Plus subscribers; previously, it was available only to $200 Pro subscribers. This raises the question: is it worth investing $20 in a ChatGPT subscription, or can Grok 3 […] The post OpenAI vs Grok 3: Which is Better for Deep Research?
Leveraging research and commentary from industry analysts, this eBook explores how your sales team can get back valuable time by overcoming some pain points with your CRM, such as low adoption rates, integrations, and data quality.
Machine learning (ML) has become a cornerstone of modern technology, enabling businesses and researchers to make data-driven decisions with greater precision. However, with the vast number of ML models available, choosing the right one for your specific use case can be challenging.
Its usefulness across different industries and fields has allowed for more research and improvements. Image segmentation is another popular computer vision task that has applications with different models.
Creating publication-ready figures and tables is essential for academic research and data presentation. Python, with its robust ecosystem of libraries, offers a wide range of tools to help you generate high-quality, aesthetically pleasing, and customizable visuals for your research papers.
Therefore, to keep abreast of the most recent research, reviewing Papers on Hugging Face is essential. Hugging Face has created a unique space where researchers not only share their work but can also engage with the community by upvoting, commenting, and discussing with others. The field of artificial intelligence is changing rapidly.
451 Group’s research indicates 57% of the enterprises currently using a data lake cite improved business agility as a benefit. To do so, modern enterprises leverage cloud data lakes as the platform used to store data for analytical purposes, combined with various compute engines for processing that data.
Setting new benchmarks for research collaboration, DeepSeek ingrained the AI community by open-sourcing both its 7B/67B Base and Chat models. Last year, the DeepSeek LLM made waves with its impressive 67 billion parameters, meticulously trained on an expansive dataset of 2 trillion tokens in English and Chinese comprehension.
Flax is an advanced neural network library built on top of JAX, aimed at giving researchers and developers a flexible, high-performance toolset for building complex machine learning models. This blog […] The post A Guide to Flax: Building Efficient Neural Networks with JAX appeared first on Analytics Vidhya.
Summary Introduction Generative AI (GenAI) has evolved from experimental research to enterprise-grade applications in record time. The rise of tools like ChatGPT, AI-powered copilots, and custom AI agents across industries, has led to the emergence of a bunch of new roles and teams in organizations.
In this episode of Leading with Data, we feature Didier Rodrigues Lopes, the Founder and CEO of OpenBB, a trailblazer in the field of AI-powered research and analytics.
In our 24-criterion evaluation of B2B marketing data providers, we identified the 11 most significant vendors — Data Axle, Dun & Bradstreet, Enlyft, Global Database, InsideView, Leadspace, Oracle, SMARTe, Spiceworks Ziff Davis, TechTarget, and ZoomInfo Technologies — and researched, analyzed, and scored them.
With this blog, I would like to show one small agent built-in with `LangGraph` and Google Gemini for research purposes. The objective is to demonstrate one research agent (Paper-to-Voice Assistant) who plans to summarize the research paper. This tool will use a vision model to infer the information.
One such breakthrough in AI is Phi-4, a 14-billion parameter model developed by Microsoft Research. The landscape of AI is evolving rapidly, and language models, particularly those designed for reasoning and problem-solving tasks, are at the heart of this revolution.
The most powerful VLMs available today remain proprietary, limiting open research exploration. Open models often lag due to dependency on synthetic data generated by proprietary models, restricting true openness.
Anthropic, a leading AI research company, has introduced a groundbreaking approach called Contextual Retrieval-Augmented Generation (RAG). In an era where artificial intelligence (AI) is tasked with navigating and synthesizing vast amounts of information, the efficiency and accuracy of retrieval methods are paramount.
According to the study conducted by Wakefield Research in 2021, only 22% of the data leaders surveyed have fully realized ROI in the past two years, with most data leaders (56%) having no consistent way of measuring it.
As GenAI models continue to grow, researchers are now working on extending their capabilities by incorporating multimodality. The human mind naturally perceives language, vision, smell, and touch, enabling us to understand our surroundings. We are particularly inclined toward linguistic thought and visual memory.
Creating AI agents that can interact with the real world is a great area of research and development. One useful application is building agents capable of searching the web to gather information and complete tasks. 70B appeared first on Analytics Vidhya.
Working with APIs in Google Colab is a common practice for data scientists, researchers, and developers. However, handling API keys, which are essentially passwords granting access to these services, requires careful consideration.
Introduction In the era of an evolving digital world, automation redefines how humans approach everyday tasks, including research, content creation and much more.
With more access to user reviews, analyst opinion, and industry research, decision-makers are more informed than ever while navigating what is now known as the “buyer’s journey.”. Recent digital transformation has shifted the B2B landscape by ushering in the era of buyer empowerment.
Adobe Research leads this groundbreaking research in collaboration with the Hong […] The post TransPixar AI: Adobes Answer to Hollywood-level VFX! Generative AI has given us all many superpowers, including the ability to generate professional-level content, code, images, and even videos! In 2025, it’s now the turn for VFX.
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Scene text recognition (STR) continues challenging researchers due to the diversity of text appearances in natural environments. It is one thing to detect text on images on documents and another thing when the text is in an image on a person’s T-shirt.
One such tool that has been a favourite among researchers and practitioners alike is PyLab. Python has become the lingua franca for scientific computing and data visualization, thanks in large part to its rich ecosystem of libraries.
Dig into this eBook to find out how to make cold calling a thing of the past with: Powerful sales engagement and automation Insights, signals, and deep prospect research Alternative touchpoints that keep the conversation alive
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