Mon.Jun 17, 2024

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5 Free Templates for Data Science Projects on Jupyter Notebook

KDnuggets

Boost your data science project with these templates.

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What is Regression Analysis?

Analytics Vidhya

Introduction A fundamental component of statistical technique, regression analysis is essential for examining and measuring connections between variables. Its uses are numerous and diverse, from forecasting financial trends to evaluating medical results. This in-depth manual explores the essence of regression analysis, explaining its various kinds, applications, and underlying concepts.

Analytics 319
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A Tour of Python NLP Libraries

KDnuggets

Exploring the available text Python packages for your data workflow.

Python 337
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Understanding the Log-normal Distribution

Analytics Vidhya

Introduction The log-normal distribution is a fascinating statistical concept commonly used to model data that exhibit right-skewed behavior. This distribution has wide-ranging applications in various fields, such as biology, finance, and engineering. In this article, we will delve into the log-normal distribution, its key parameters, and how to interpret them, as well as explore some […] The post Understanding the Log-normal Distribution appeared first on Analytics Vidhya.

Analytics 319
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What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

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What Data Scientists Should Know About OpenUSD

KDnuggets

Let's dive into what data scientists should know about OpenUSD and how it can enhance their workflows.

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A Step-by-Step Guide: Building an AI Chat App with Alibaba Cloud

Analytics Vidhya

Introduction In today’s data-driven world, machine learning and AI have become vital business apparatuses, revolutionizing forms, and driving advancement. Be that as it may, executing these advances viably regularly presents challenges in terms of framework, adaptability, and fetching. Enter Alibaba Cloud PAI EAS (Flexible Calculation Benefit), a cutting-edge arrangement custom-fitted to address these obstacles.

More Trending

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How to Create 3D Pie Charts?

Analytics Vidhya

Introduction Data visualization is an important step toward discovering insights and patterns. Among the various tools at our disposal are charts, which explain complicated information simply and straightforwardly. The 3D pie chart is a very handy graphic. Traditional pie charts demonstrate how different categories contribute to a whole, while 3D pie charts offer depth and […] The post How to Create 3D Pie Charts?

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I Took the Google Data Analytics Certification Where 2,148,697 Have Already Enrolled

KDnuggets

These were my thoughts on the certification.

Analytics 248
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Shreds.AI Launches an AI Capable of Generating Complex Software

insideBIGDATA

Shreds.AI, an AI capable of generating complex, business-grade software from simple descriptions in record time, today announced its formal beta launch. Shreds.AI slashes the time to market for software, along with team sizes and costs, by over 80% compared to traditional software development methods. It also solves the software obsolescence problem, increases software lifespan by more than 60% with automatic maintenance and makes it easy to switch software technology, for example, from PHP to J

AI 195
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6 Startups Redefining 3D Workflows with OpenUSD and Generative AI

KDnuggets

Driving the next era of advanced 3D solutions with OpenUSD

AI 213
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Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

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Brain circuit scores identify clinically distinct biotypes in depression/anxiety

Hacker News

There is an urgent need to derive quantitative measures based on coherent neurobiological dysfunctions or ‘biotypes’ to enable stratification of patients with depression and anxiety. We used task-free and task-evoked data from a standardized functional magnetic resonance imaging protocol conducted across multiple studies in patients with depression and anxiety when treatment free (n = 801) and after randomization to pharmacotherapy or behavioral therapy (n = 2

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Generating audio for video

DeepMind

Video-to-audio research uses video pixels and text prompts to generate rich soundtracks

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EU to greenlight Chat Control tomorrow

Hacker News

The Belgian EU Council presidency seems set to have bulk Chat Control searches of our private communications greenlighted by EU governments on Wednesday 19 June.

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IBM’s InstructLab: A New Era For AI Model Creation And Performance

MoorInsights for Forbes

IBM and its Red Hat unit have introduced a novel way to align and iterate LLMs that uses open-source principles and enables community contributions.

AI 139
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How to Modernize Manufacturing Without Losing Control

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

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How innovative is China in nuclear power?

Hacker News

Though China built upon a foreign base of technology, it has become the world’s leading proponent of nuclear energy. Chinese firms are well ahead of their Western peers, supported by a whole-of-government strategy that provides extensive financing and systemic coordination.

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Conformer-Based Speech Recognition on Extreme Edge-Computing Devices

Machine Learning Research at Apple

This paper was accepted at the Industry Track at NAACL 2024. With increasingly more powerful compute capabilities and resources in today’s devices, traditionally compute-intensive automatic speech recognition (ASR) has been moving from the cloud to devices to better protect user privacy. However, it is still challenging to implement on-device ASR on resource-constrained devices, such as smartphones, smart wearables, and other small home automation devices.

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FTC sues Adobe for hiding fees and inhibiting cancellations

Hacker News

The Federal Trade Commission is taking action against software maker Adobe and two of its executives, Maninder Sawhney and David Wadhwani, for deceiving consumers by hiding the early terminati

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Comparative Analysis of Personalized Voice Activity Detection Systems: Assessing Real-World Effectiveness

Machine Learning Research at Apple

Voice activity detection (VAD) is a critical component in various applications such as speech recognition, speaker identification, and hands-free communication systems. With the increasing demand for personalized and context-aware technologies, the need for effective personalized VAD systems has become paramount. In this paper, we present a comparative analysis of Personalized Voice Activity Detection (PVAD) systems to assess their real-world effectiveness.

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Automation, Evolved: Your New Playbook for Smarter Knowledge Work

Speaker: Frank Taliano

Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.

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Monopolies across the grocery supply chain squeeze consumers, small businesses

Hacker News

Monopolies across the grocery supply chain squeeze consumers and small-business owners alike. Big Data will only entrench those dynamics further.

Big Data 182
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How IBM helps Wimbledon use generative AI to drive personalized fan engagement

IBM Journey to AI blog

For two weeks in July, the All England Lawn Tennis Club (AELTC) hosts Wimbledon, the most prestigious tournament in the sport. IBM has been partnering with the Club for more than three decades, enhancing coverage of The Championships and engaging fans with rich data-driven insights. This year, some of the most compelling stories of the tournament will be told with the help of IBM® watsonx™ , the enterprise-ready generative AI platform.

AI 127
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Amazon-Powered AI Cameras Used to Detect Emotions of Unwitting UK Train Passengers

Hacker News

CCTV cameras and AI are being combined to monitor crowds, detect bike thefts, and spot trespassers.

AI 182
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How Twilio used Amazon SageMaker MLOps pipelines with PrestoDB to enable frequent model retraining and optimized batch transform

AWS Machine Learning Blog

This post is co-written with Shamik Ray, Srivyshnav K S, Jagmohan Dhiman and Soumya Kundu from Twilio. Today’s leading companies trust Twilio’s Customer Engagement Platform (CEP) to build direct, personalized relationships with their customers everywhere in the world. Twilio enables companies to use communications and data to add intelligence and security to every step of the customer journey, from sales and marketing to growth and customer service, and many more engagement use cases in a flexib

ML 126
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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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What is intelligent life? Portia Spiders and GPT

Hacker News

Our human minds hold us back from truly understanding the many brilliant ways that other creatures solve their problems

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Analysis of Sudoku play patterns

FlowingData

Vivek Rao likes to play Sudoku, enough that he collected data on his gameplay and analyzed his strategies : In January 2023, I made a breakthrough. I started tracking what grids I fill out and how I fill them out1. And in the weeks after, I started to analyze my performance to look for patterns and ways I could speed up. As a throwback to my high school self, I decided to analyze 100 easy sudokus to see what I could learn about my performance.

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TDK claims solid state battery breakthrough

Hacker News

Apple supplier says new tech has 100 times the capacity of its current batteries.

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A Comprehensive Introduction to Instruction Fine-Tuning for LLMs

Towards AI

Last Updated on June 18, 2024 by Editorial Team Author(s): Youssef Hosni Originally published on Towards AI. Instruction tuning is a process used to enhance large language models (LLMs) by refining their ability to follow specific instructions. OpenAI’s work on InstructGPT first introduced instruction fine-tuning. InstructGPT was trained to follow human instructions better by fine-tuning GPT-3 on datasets where humans rated the model’s responses, which was a major step towards producing ChatGPT.

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Maximizing Profit and Productivity: The New Era of AI-Powered Accounting

Speaker: Yohan Lobo and Dennis Street

In the accounting world, staying ahead means embracing the tools that allow you to work smarter, not harder. Outdated processes and disconnected systems can hold your organization back, but the right technologies can help you streamline operations, boost productivity, and improve client delivery. Dive into the strategies and innovations transforming accounting practices.

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Getting 50% (SoTA) on Arc-AGI with GPT-4o

Hacker News

You can just draw more samples

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Chameleon Paper Explained

Towards AI

Last Updated on June 18, 2024 by Editorial Team Author(s): Louis-François Bouchard Originally published on Towards AI. How to Build a Multimodal LLM like GPT-4o? These past weeks have been exciting, with the release of various revolutionary multimodal models, like GPT-4o or, even more interestingly, Meta’s open-source alternative, Chameleon. Even though it’s a mouthful, all future models will be multimodal.

AI 116
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High-severity vulnerabilities affect a wide range of Asus router models

Hacker News

Many models receive patches; others will need to be replaced.

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Introduction to Adversarial Attack In Computer Vision

Towards AI

Last Updated on June 18, 2024 by Editorial Team Author(s): Vincent Liu Originally published on Towards AI. Source: image by author. Video source: DAVIS¹ Since we started to leverage the power of models in data science, the digital world has been evolving at an incredible speed. Nowadays we have a variety of models based on text, audio, image, and other domain-specific type of data.

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The 2nd Generation of Innovation Management: A Survival Guide

Speaker: Chris Townsend, VP of Product Marketing, Wellspring

Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?