Analytics Vidhya
JUNE 7, 2024
In the latest episode of the Leading with Data podcast, we had the privilege of hosting Dr. Katra, the Global VP of AI at Medtronic. Dr. Rodolphe Katra is an innovative leader with over two decades of expertise in engineering and strategic management within the medical technology sector. A pioneer in the application of AI […] The post Evolution of AI in Medicine with Dr.
AI News
JUNE 7, 2024
DuckDuckGo has released a platform that allows users to interact with popular AI chatbots privately, ensuring that their data remains secure and protected. The service, accessible at Duck.ai , is globally available and features a light and clean user interface. Users can choose from four AI models: two closed-source models and two open-source models.
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Analytics Vidhya
JUNE 7, 2024
We know that various forms of written communication, like social media and emails, generate vast volumes of unstructured textual data. This data contains valuable insights and information. However, manually extracting relevant insights from large amounts of raw text is highly labor-intensive and time-consuming. Text mining addresses this challenge. Using computer techniques it refers to automatically […] The post Text Mining in Python appeared first on Analytics Vidhya.
Unite.AI
JUNE 7, 2024
When I reflect on the fictional content I have encountered involving AI, I would estimate it to be over 90% dystopian. Ironically, because large language models are trained on content from the internet, they are not just biased towards problematic aspects of society, but even themselves. The concept of self-loathing AI is humorous and brings to mind Marvin from Hitchhiker’s Guide to the Galaxy.
Speaker: Conrado Morlan
In this engaging and witty talk, we’ll explore how artificial intelligence can transform the daily tasks of product managers into streamlined, efficient processes. Using the lens of a superhero narrative, we’ll uncover how AI can be the ultimate sidekick, aiding in decision-making, enhancing productivity, and boosting innovation. Attendees will leave with practical tools and actionable insights, motivated to embrace AI and leverage its potential in their work. 🦸 🏢 Key objectives:
Analytics Vidhya
JUNE 7, 2024
Introduction Network analysis is essential for examining and interpreting the interactions between elements in complex systems. It is applied in several domains. This approach sheds light on linked systems’ structure, dynamics, and usefulness, whether biological networks, computer systems, or social networks. This article examines the basic ideas, uses, and important network analysis techniques.
Artificial Intelligence Zone brings together the best content for AI and ML professionals from the widest variety of thought leaders.
Analytics Vidhya
JUNE 7, 2024
Introduction The field of medical AI has witnessed remarkable advancements in recent years, with the development of powerful language models and datasets driving progress. In this article, we will explore the journey of MedMCQA, a groundbreaking medical question-answering dataset, and its role in shaping the landscape of medical AI. We will examine the challenges faced […] The post OpenBioLLM-70B: India’s Contribution to Cutting-Edge Biomedical Language Models appeared first on Analy
AssemblyAI
JUNE 7, 2024
Hey 👋, this weekly update contains the latest info on our new product features, tutorials, and our community. Join Us On Discord Build With AssemblyAI's Integrations Make the most of your audio data by using AssemblyAI with top platforms and tools. Discover our wide range of integrations to improve your speech AI workflows with these use cases: LangChain : Develop applications that analyze and understand audio dialogues using AssemblyAI’s speech-to-text
Analytics Vidhya
JUNE 7, 2024
Introduction Insurance is a document-heavy industry with numerous terms and conditions, making it challenging for policyholders to find accurate answers to their queries regarding policy details or the claims process. This often leads to higher customer churn due to frustration and misinformation. This article explores how to address this issue using Generative AI by building […] The post How to Build RAG Chatbot for Insurance?
Aiiot Talk
JUNE 7, 2024
Learning about robotics can be a rewarding yet challenging experience. The field is ever-evolving and there’s always something new to pickup. As with any discipline, students need to track how far they’ve come, establish benchmarks and measure progress. It’s the only way they can master the skills required to design, build and program robots. Here’s how to go about it.
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The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. With Logi Symphony, we aim to turn these challenges into opportunities. Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights.
Marktechpost
JUNE 7, 2024
Monte Carlo (MC) methods rely on repeated random sampling, so they are widely utilized for simulating and approximating complicated real-world systems. These techniques work especially well for financial mathematics, numerical integration, and optimization issues, particularly those about risk and derivative pricing. However, for complex issues in Monte Carlo, an unfeasibly large number of samples are required to obtain high precision.
NVIDIA
JUNE 7, 2024
Across industries, AI is supercharging innovation with machine-powered computation. In finance, bankers are using AI to detect fraud more quickly and keep accounts safe, telecommunications providers are improving networks to deliver superior service, scientists are developing novel treatments for rare diseases, utility companies are building cleaner, more reliable energy grids and automotive companies are making self-driving cars safer and more accessible.
Marktechpost
JUNE 7, 2024
Large language models (LLMs) have revolutionized code generation, but their autoregressive nature poses a significant challenge. These models generate code token by token, without access to the program’s runtime output from the previously generated tokens. This lack of a feedback loop, where the model can observe the program’s output and adjust accordingly, makes it difficult to correct errors.
Extreme Tech
JUNE 7, 2024
The Chandra X-ray Observatory has spent 25 years investigating stunning celestial bodies. Now you can plop them down on your kitchen table.
Speaker: Pulkit Agrawal
Digital Adoption Platforms (DAPs) are revolutionizing the way organizations interact with and optimize their software applications. As digital transformation continues to accelerate, DAPs have become essential tools for enhancing user engagement and software efficiency. This session is your guide into the robust world of DAPs, exploring their origins, evolution, and the current trends shaping their development.
Marktechpost
JUNE 7, 2024
The ability to discern relevant and essential information from noise is paramount in AI, particularly within large language models (LLMs). With the surge of information and the complexity of tasks, there’s a need for efficient mechanisms to enhance the performance and reliability of these models. Let’s explore the essential tools & techniques for refining LLMs and delivering precise, actionable insights.
Extreme Tech
JUNE 7, 2024
On Wednesday, the second of two 6U CubeSats entered orbit, signaling the start of a nearly year-long radiation watch at the poles.
Marktechpost
JUNE 7, 2024
Audio classification has evolved significantly with the adoption of deep learning models. Initially dominated by Convolutional Neural Networks (CNNs), this field has shifted towards transformer-based architectures, which offer improved performance and the ability to handle various tasks through a unified approach. Transformers surpass CNNs in performance, creating a paradigm shift in deep learning, especially for functions requiring extensive contextual understanding and handling diverse input d
databricks
JUNE 7, 2024
In June 2023, we launched Databricks Marketplace as an open marketplace for all your data, analytics, and AI needs, powered by the open.
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In the fast-moving manufacturing sector, delivering mission-critical data insights to empower your end users or customers can be a challenge. Traditional BI tools can be cumbersome and difficult to integrate - but it doesn't have to be this way. Logi Symphony offers a powerful and user-friendly solution, allowing you to seamlessly embed self-service analytics, generative AI, data visualization, and pixel-perfect reporting directly into your applications.
Marktechpost
JUNE 7, 2024
Language Learning Models (LLMs), which are very good at reasoning and coming up with good answers, are sometimes honest about their mistakes and tend to hallucinate when asked questions they haven’t seen before. When the responses are more than just one token, it becomes much more important to determine how to get trustworthy confidence estimations from LLMs.
Explosion
JUNE 7, 2024
There hasn’t been a boom like the AI boom since the.com days. And it may look like a space destined to be controlled by a couple of tech giants. But Ines Montani thinks open source will play an important role in the future of AI.
Marktechpost
JUNE 7, 2024
Zyphra announced the release of Zyda , a groundbreaking 1.3 trillion-token open dataset for language modeling. This innovative dataset is set to redefine the standards of language model training and research, offering an unparalleled combination of size, quality, and accessibility. Zyda amalgamates several high-quality open datasets, refining them through rigorous filtering and deduplication.
Extreme Tech
JUNE 7, 2024
The company is hoping aggressive pricing will allow it to get a beachhead in the AI arms race.
Speaker: Gary Dmitriev
Our upcoming webinar aims to demystify the process of selecting and implementing automation tools for financial institutes. This session will provide your roadmap for vetting potential solutions, focusing on due diligence, vendor assessments, and aligning technology with strategic goals. We’ll also address the critical issue of innovation fatigue, offering tips on maintaining enthusiasm and momentum for new initiatives.
Marktechpost
JUNE 7, 2024
The Qwen Team recently unveiled their latest breakthrough, the Qwen2-72B. This state-of-the-art language model showcases advancements in size, performance, and versatility. Let’s look into the key features, performance metrics, and potential impact of Qwen2-72B on various AI applications. Qwen2-72B is part of the Qwen2 series, which includes a range of large language models (LLMs) with varying parameter sizes.
Towards AI
JUNE 7, 2024
Last Updated on June 10, 2024 by Editorial Team Author(s): Greg Postalian-Yrausquin Originally published on Towards AI. This is a quick example to demonstrate the use of RNN to classify a set of tweets into positive or negative feedback. The idea is to give a quick high-level view of how recursive neural networks are trained for datasets that have a continuous internal structure, such as text.
Marktechpost
JUNE 7, 2024
Most neural network topologies heavily rely on matrix multiplication (MatMul), primarily because it is essential to many basic processes. Vector-matrix multiplication (VMM) is commonly used by dense layers in neural networks, and matrix-matrix multiplication (MMM) is used by self-attention mechanisms. The heavy dependence on MatMul can largely be attributed to GPU optimization for these kinds of tasks.
Extreme Tech
JUNE 7, 2024
The company will apparently go to market with existing 600-series motherboards.
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In the rapidly evolving healthcare industry, delivering data insights to end users or customers can be a significant challenge for product managers, product owners, and application team developers. The complexity of healthcare data, the need for real-time analytics, and the demand for user-friendly interfaces can often seem overwhelming. But with Logi Symphony, these challenges become opportunities.
Marktechpost
JUNE 7, 2024
Large Language Models (LLMs) have advanced significantly in recent years. Models like ChatGPT and GPT-4 allow users to interact with and elicit natural language responses. To improve the human-machine interaction and accuracy of LLMs, it is essential to have a method to evaluate these interactions dynamically. While LLMs have shown remarkable capabilities in generating text, conventional evaluation methods fail to capture their performance in interactive human-machine interactions.
Extreme Tech
JUNE 7, 2024
NASA and Boeing say the problems won't affect Starliner's return trip.
Marktechpost
JUNE 7, 2024
OpenAI recently announced a revolutionary feature called GPTs. The concept of GPTs is very simple to explain: GPTs mean you can create a custom version of ChatGPT by combining instructions, extra knowledge on the subject matter, and some skills. Basically, GPTs are custom versions of ChatGPT that specialize in a specific subject matter, which could be writing, productivity, research & analysis, education, lifestyle, and more.
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