Fri.Jun 07, 2024

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Evolution of AI in Medicine with Dr. Rodolphe Katra

Analytics Vidhya

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 268
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DuckDuckGo releases portal giving private access to AI models

AI News

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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Text Mining in Python

Analytics Vidhya

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.

Python 265
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Is the Risk of AI Worth the Reward?

Unite.AI

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.

AI 162
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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI pr

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What is Network Analysis?

Analytics Vidhya

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.

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OpenBioLLM-70B: India’s Contribution to Cutting-Edge Biomedical Language Models

Analytics Vidhya

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

AI 191
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Newsletter #39: Build With AssemblyAI's Integrations

AssemblyAI

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

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How to Build RAG Chatbot for Insurance?

Analytics Vidhya

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?

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How Do You Measure Student Success in Robotics?

Aiiot Talk

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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Leading the Development of Profitable and Sustainable Products

Speaker: Jason Tanner

While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.

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Message-Passing Monte Carlo (MPMC): A New State-of-the-Art Machine Learning Model that Generates Low-Discrepancy Points

Marktechpost

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.

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Why Accelerated Data Processing Is Crucial for AI Innovation in Every Industry

NVIDIA

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.

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Researchers at UC Berkeley Propose a Neural Diffusion Model that Operates on Syntax Trees for Program Synthesis

Marktechpost

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.

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Databricks Marketplace Welcomes 42 New Data Providers in Q1 2024

databricks

In June 2023, we launched Databricks Marketplace as an open marketplace for all your data, analytics, and AI needs, powered by the open.

AI 100
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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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Sharpening LLMs: The Sharpest Tools and Essential Techniques for Precision and Clarity

Marktechpost

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.

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The AI Revolution Won’t Be Monopolized

Explosion

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.

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Zyphra Introduces Zyda Dataset: A 1.3 Trillion Token Dataset for Open Language Modeling

Marktechpost

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.

NLP 110
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NASA Celebrates Successful PREFIRE Climate Mission Launch

Extreme Tech

On Wednesday, the second of two 6U CubeSats entered orbit, signaling the start of a nearly year-long radiation watch at the poles.

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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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Taming Long Audio Sequences: Audio Mamba Achieves Transformer-Level Performance Without Self-Attention

Marktechpost

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

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NASA Brings Colorful Nebulas Into Your Home Using AR

Extreme Tech

The Chandra X-ray Observatory has spent 25 years investigating stunning celestial bodies. Now you can plop them down on your kitchen table.

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Meet Qwen2-72B: An Advanced AI Model With 72B Parameters, 128K Token Support, Multilingual Mastery, and SOTA Performance

Marktechpost

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.

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Intel Reveals Gaudi 3 Pricing, and It's Roughly Half the Cost of Nvidia Blackwell, Hopper

Extreme Tech

The company is hoping aggressive pricing will allow it to get a beachhead in the AI arms race.

AI 109
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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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SaySelf: A Machine Learning Training Framework That Teaches LLMs To Express More Accurate Fine-Grained Confidence Estimates

Marktechpost

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.

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Report: AMD Will Launch X870 Motherboards After Ryzen 9000 CPUs

Extreme Tech

The company will apparently go to market with existing 600-series motherboards.

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This AI Research Discusses Achieving Efficient Large Language Models (LLMs) by Eliminating Matrix Multiplication for Scalable Performance

Marktechpost

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.

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RNN: Basic Recursive Neural Network for sentiment analysis in PyTorch

Towards AI

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.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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CheckMate: An Adaptable AI Platform for Evaluating Language Models by Their Interactions with Human Users

Marktechpost

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.

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Boeing Starliner Reaches ISS With a Few New Glitches

Extreme Tech

NASA and Boeing say the problems won't affect Starliner's return trip.

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10 GPTs for Software Developers

Marktechpost

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.