Mon.Nov 11, 2024

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Do LLMs Remember Like Humans? Exploring the Parallels and Differences

Unite.AI

Memory is one of the most fascinating aspects of human cognition. It allows us to learn from experiences, recall past events, and manage the world's complexities. Machines are demonstrating remarkable capabilities as Artificial Intelligence (AI) advances, particularly with Large Language Models (LLMs). They process and generate text that mimics human communication.

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A Guide to Flax: Building Efficient Neural Networks with JAX

Analytics Vidhya

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. Flax’s seamless integration with JAX enables automatic differentiation, Just-In-Time (JIT) compilation, and support for hardware accelerators, making it ideal for both experimental research and production.

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Alix Melchy, VP of AI at Jumio – Interview Series

Unite.AI

Alix Melchy is the VP of AI at Jumio, where he leads teams of machine learning engineers across the globe with a focus on computer vision, natural language processing and statistical modeling. An experienced AI leader, Melchy has a passion for turning AI-innovation into enterprise-grade AI systems, fostering the responsible practice of AI and shaping a secure digital landscape.

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Google DeepMind open-sources AlphaFold 3, ushering in a new era for drug discovery and molecular biology

Flipboard

Google DeepMind has unexpectedly released the source code and model weights of AlphaFold 3 for academic use, marking a significant advance that could accelerate scientific discovery and drug development.

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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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The Currency of Productivity: AI and the Human Element

Unite.AI

Within the last few years, the way we work has been completely overhauled by new workplace trends and technology. AI has rapidly redefined the rules of productivity in the business world ; emails, social media posts, images, presentations, and videos can all be generated within a matter of clicks, not days. But productivity is not defined by speed alone.

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Introducing PROC SIMSYSTEM in SAS Viya

SAS Software

When the SAS Global Forum 2020 conference was cancelled by the global COVID-19 pandemic, I felt sorry for the customers and colleagues who had spent months preparing their presentations. One presentation I especially wanted to attend was by Bucky Ransdell and Randy Tobias: "Introducing PROC SIMSYSTEM for Systematic Nonnormal Simulation". [.] The post Introducing PROC SIMSYSTEM in SAS Viya appeared first on SAS Blogs.

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OpenAI and rivals seek new path to smarter AI as current methods hit limitations

Flipboard

A dozen AI scientists, researchers and investors told Reuters they believe that these techniques, which are behind OpenAI's recently released o1 model, could reshape the AI arms race, and have implications for the types of resources that AI companies have an insatiable demand for, from energy to types of chips. But now, some of the most prominent AI scientists are speaking out on the limitations of this “bigger is better” philosophy.

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Apple Patents Sensor-Equipped Watch Bands That Capture Blood Pressure, Heart Failure

Extreme Tech

Putting sensors in the wearable's band could unlock a host of health-monitoring features—if the patented device ever becomes an actual product.

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The 6 Most Powerful AI Marketing Trends That Will Transform Your Business In 2025

Flipboard

The quiet hum of AI servers is rapidly drowning out the traditional drumbeat of marketing departments worldwide. As we venture deeper into 2025, this technological revolution isn't just changing how we market – it's fundamentally transforming what marketing means.

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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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Discover insights with the Amazon Q Business Microsoft Teams connector

AWS Machine Learning Blog

Microsoft Teams is an enterprise collaboration tool that allows you to build a unified workspace for real-time collaboration and communication, meetings, and file and application sharing. You can exchange and store valuable organizational knowledge within Microsoft Teams. Microsoft Teams data is often siloed across different teams, channels, and chats, making it difficult to get a unified view of organizational knowledge.

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A Practical Guide to Choosing the Right Algorithm for Your Problem: From Regression to Neural Networks

Flipboard

This article explains, through clear guidelines, how to choose the right machine learning (ML) algorithm or model for different types of real-world and business problems.

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Top 10 Marketplace Questions, Answered

databricks

Databricks Marketplace is an open marketplace for data, analytics, and AI, powered by the open-source Delta Sharing standard. Since the release of Databricks.

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What CEOs Aren’t Telling Their Teams About AI

Flipboard

Your boss just paid $495 for another AI conference ticket. Three of your coworkers got laid off last month. Your company's job posts now list AI proficiency as a requirement for every role. See where this is going? The numbers are brutal. McKinsey predicts 400 million jobs will be gone by 2030.

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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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Ukraine: Downed Russian Drone Is Full of Western Tech

Extreme Tech

Ukraine's intelligence agency says the aircraft uses chips from Texas Instruments, Micron, STMicroelectronics, and others.

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Meta now allows military agencies to access its AI software. It poses a moral dilemma for everybody who uses it

Flipboard

The tech giant previously prohibited people from using its AI software for military purposes. The shift poses challenges not just for the public – but militaries as well.

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Building an Interactive Chatbot For Pre-Existing Questions with LLM Integration to Chat with multiple CSV Files

Towards AI

Author(s): Ganesh Bajaj Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Streamlit UI-Image Illustrated by Author There are multiple types of Chatbots: Rule Based ChatbotRAG Based ChatbotHybrid Chatbot This article covers how to create a chatbot using streamlit that answers questions using a pre-existing question-answer dataset along with an LLM integration to a csv file.

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Research: How Gen AI Is Already Impacting the Labor Market

Flipboard

A study of over 1 million job listings posted before and after the introduction of major gen AI tools reveals the effect they’re having on gig workers.

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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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Why Do Neural Networks Hallucinate (And What Are Experts Doing About It)?

Towards AI

Last Updated on November 11, 2024 by Editorial Team Author(s): Vitaly Kukharenko Originally published on Towards AI. AI hallucinations are a strange and sometimes worrying phenomenon. They happen when an AI, like ChatGPT, generates responses that sound real but are actually wrong or misleading. This issue is especially common in large language models (LLMs), the neural networks that drive these AI tools.

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Ai-Da robot just sold an artwork for $1 million. Yes, it made history.

Flipboard

The AI artist's portrait of Alan Turing took 15 individual paintings and a lot of conversation. We're living in the age of AI artists and AI art museums, so the fact that an AI-powered robot just made bank at an art auction shouldn't come as a surprise. But we're talking bank.

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AI Agents

Towards AI

Author(s): Heidar (Amir) Pirzadeh Originally published on Towards AI. Today, AI agents are at the forefront of innovation across major companies. Imagine you’ve been tasked with transforming an existing SaaS business to be powered by AI agents. Don’t worry — I’m here to help you! But why should you trust me, well, I began working on AI agents eight years ago, long before they became a buzzword.

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Microsoft-backed startup debuts task optimized enterprise AI models that run on CPUs

Flipboard

A new enterprise AI focussed startup is emerging from stealth today with the promise of providing what it calls ‘task-optimized’ models that provide better performance at lower cost.

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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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Exploring DNA Classification with Next-Generation Sequencing (NGS) and Machine Learning

Towards AI

Last Updated on November 11, 2024 by Editorial Team Author(s): Souradip Pal Originally published on Towards AI. Unlocking insights into DNA sequences using machine learning and bioinformatics techniques. This member-only story is on us. Upgrade to access all of Medium. DNA is often described as the blueprint of life, encoding the genetic instructions for every living organism.

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Google DeepMind releases code behind its most advanced protein prediction program

Flipboard

Better late than never: Google DeepMind has today released the computer code underlying its latest AI protein prediction software to an eager …

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Top 10 Python Libraries for Data Analysis

Marktechpost

Python has become the go-to language for data analysis due to its elegant syntax, rich ecosystem, and abundance of powerful libraries. Data scientists and analysts leverage Python to perform tasks ranging from data wrangling to machine learning and data visualization. This article explores the top 10 Python libraries that are essential for data analysis, providing tools for efficient data exploration, manipulation, visualization, and model development. 1.

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Judge dismisses copyright lawsuit against OpenAI

Flipboard

Copying information is not the same as copying content. U.S. District Court Judge Colleen McMahon has dismissed a copyright lawsuit against OpenAI.

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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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SpaceX Wants to Give Mars Its Own Version of Starlink

Extreme Tech

'Marslink' would allow at least 4Mpbs of data to travel to the Red Planet and back.

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The Death of Critical Thinking Will Kill Us Long Before AI.

Flipboard

We have witnessed a multi-generational decline in reading comprehension. We read less, retain less of what we read, and struggle to engage in critical analysis. And if this trend continues, we risk undermining the very foundations of our society.

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Researchers from Georgia Tech and IBM Introduces KnOTS: A Gradient-Free AI Framework to Merge LoRA Models

Marktechpost

Model merging has emerged as a powerful technique for creating versatile, multi-task models by combining weights of task-specific models. This approach enables crucial capabilities such as skill accumulation, model weakness patching, and collaborative improvement of existing models. While model merging has shown remarkable success with full-rank finetuned (FFT) models, significant challenges arise when applying these techniques to parameter-efficient finetuning (PEFT) methods, particularly Low-R