Dataconomy
JULY 3, 2025
Text mining is an ever-evolving field that offers businesses a powerful means to analyze vast amounts of unstructured text data. It’s fascinating how organizations harness advanced algorithms to transform raw text into actionable insights, helping them understand customer sentiments and market trends. With the rise of big data, text mining becomes crucial for any entity looking to stay competitive.
KDnuggets
JULY 3, 2025
Let's take a closer look at Google Colab's new AI features, and find out how you can use them to increase your daily data workflow productivity.
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Julien Simon
JULY 3, 2025
In this video, I introduce and demonstrate three production-grade models that Arcee AI recently opened and released on Hugging Face. Arcee-SuperNova-v1 (70B) is a merged model built from multiple advanced training approaches. At its core is a distilled version of Llama-3.1–405B-Instruct into Llama-3.1–70B-Instruct, using our DistillKit to preserve instruction-following strengths while reducing size.
Hacker News
JULY 3, 2025
Recent advancements in artificial intelligence (AI), particularly in large language models (LLMs) such as OpenAI-o1 and DeepSeek-R1, have demonstrated remarkable capabilities in complex domains such as logical reasoning and experimental coding. Motivated by these advancements, numerous studies have explored the application of AI in the innovation process, particularly in the context of scientific research.
Speaker: Jason Chester, Director, Product Management
In today’s manufacturing landscape, staying competitive means moving beyond reactive quality checks and toward real-time, data-driven process control. But what does true manufacturing process optimization look like—and why is it more urgent now than ever? Join Jason Chester in this new, thought-provoking session on how modern manufacturers are rethinking quality operations from the ground up.
JULY 3, 2025
LLMs — the data models powering your favorite AI chatbots — don't just have social and racial biases, a new report finds, but inherent biases against democratic institutions. A recent study , published by researchers at the MIT Sloan School of Management , analyzed how six popular LLMs (including ChatGPT, Gemini, and DeepSeek) portray the state of press freedom — and, indirectly, trust in the media — in responses to user prompts.
Dataconomy
JULY 3, 2025
Autonomous AI agents represent a significant leap in AI technology, enabling machines to complete tasks without ongoing human oversight. These agents are designed to make decisions, learn from their environments, and adapt to new situations, which enhances efficiency in various applications. As businesses increasingly integrate these intelligent systems, the implications for operational processes, customer experience, and productivity are profound.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Towards AI
JULY 3, 2025
Last Updated on July 4, 2025 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts, This week’s issue zooms in on what happens when you go one layer deeper, whether it’s understanding MCP for smarter tool integrations, or hand-coding backprop to finally grasp what your model’s doing under the hood.
ODSC - Open Data Science
JULY 3, 2025
Agentic AI is no longer just a buzzword — it’s quickly becoming the new foundation for how we build with AI. That’s why we’re so excited to bring you the Agentic AI Summit this July 16th-31st, a virtual gathering of builders, engineers, researchers, and innovators all focused on one thing — making AI that does, not just says. This isn’t your typical AI conference.
JULY 3, 2025
Skip to main content Skip to secondary menu Skip to primary sidebar Skip to footer Geeky Gadgets The Latest Technology News Home Top News AI Apple Android Technology Guides Gadgets Hardware Gaming Autos Deals About How AI’s Greatest Strengths Are Becoming Its Biggest Weaknesses 9:08 am July 3, 2025 By Julian Horsey What if the very tools designed to transform communication and decision-making could also be weaponized against us?
AWS Machine Learning Blog
JULY 3, 2025
In the telecommunications industry, managing complex network infrastructures requires processing vast amounts of data from multiple sources. Network engineers often spend considerable time manually gathering and analyzing this data, taking away valuable hours that could be spent on strategic initiatives. This challenge led Swisscom , Switzerland’s leading telecommunications provider, to explore how AI can transform their network operations.
Speaker: Kenten Danas, Senior Manager, Developer Relations
ETL and ELT are some of the most common data engineering use cases, but can come with challenges like scaling, connectivity to other systems, and dynamically adapting to changing data sources. Airflow is specifically designed for moving and transforming data in ETL/ELT pipelines, and new features in Airflow 3.0 like assets, backfills, and event-driven scheduling make orchestrating ETL/ELT pipelines easier than ever!
Dataconomy
JULY 3, 2025
Business intelligence dashboards (BI dashboards) have transformed the way organizations analyze data and track progress. These powerful tools enable users to consolidate information from diverse sources and visualize key performance indicators (KPIs) through interactive displays. By simplifying data analysis, BI dashboards empower businesses to make informed decisions, respond to trends swiftly, and ultimately drive growth.
Towards AI
JULY 3, 2025
Last Updated on July 4, 2025 by Editorial Team Author(s): Parsa Kohzadi Originally published on Towards AI. AI won’t take your job, but someone who knows AI might! 🔗Available for non-Medium members here. 🌐 “Will AI replace humans?” That’s the question everyone’s been asking themselves lately. The short answer? No—AI won’t replace humans.
Hacker News
JULY 3, 2025
Today, we open sourced our Zero-Knowledge Proof (ZKP) libraries, fulfilling a promise and building on our partnership with Sparkasse to support EU age assurance.
JULY 3, 2025
This post is divided into three parts; they are: • Why Skip Connections are Needed in Transformers • Implementation of Skip Connections in Transformer Models • Pre-norm vs Post-norm Transformer Architectures Transformer models, like other deep learning models, stack many layers on top of each other.
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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.
Machine Learning Research at Apple
JULY 3, 2025
The recent rapid adoption of large language models (LLMs) highlights the critical need for benchmarking their fairness. Conventional fairness metrics, which focus on discrete accuracy-based evaluations (i.e., prediction correctness), fail to capture the implicit impact of model uncertainty (e.g., higher model confidence about one group over another despite similar accuracy).
JULY 3, 2025
Some of the most powerful supercomputers in the world are designed to simulate complex astrophysical processes, like what's happening inside a giant star as it's going supernova. But researchers have developed a new machine learning algorithm that was able to accurately simulate galaxy evolution with fewer computer resources and dramatically more quickly than a supercomputer, which could take years to fully process.
Dataconomy
JULY 3, 2025
A philosophical divergence between Meta CEO Mark Zuckerberg and Chief AI Scientist Yann LeCun regarding artificial intelligence strategy and timelines became evident last week with the announcement of Meta Superintelligence Labs , generating uncertainty about the company’s future AI direction. This division within Meta’s AI teams centers on fundamental approaches to AI development.
JULY 3, 2025
Researchers have used machine learning to dramatically speed up the processing time when simulating galaxy evolution coupled with supernova …
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.
Machine Learning Research at Apple
JULY 3, 2025
Large-scale models are routinely trained on a mixture of different data sources. Different data mixtures yield very different downstream performances. We propose a novel architecture that can instantiate one model for each data mixture without having to re-train the model. Our architecture consists of a bank of expert weights, which are linearly combined to instantiate one model.
JULY 3, 2025
Skip to Content MIT Technology Review Featured Topics Newsletters Events Audio Sign in Subscribe MIT Technology Review Featured Topics Newsletters Events Audio Sign in Subscribe Opinion Don’t let hype about AI agents get ahead of reality There is enormous potential for this technology, but only if we deploy it responsibly. By Yoav Shoham archive page July 3, 2025 Sarah Rogers/MITTR | Getty Google’s recent unveiling of what it calls a “new class of agentic experiences” feels like a turning point.
Towards AI
JULY 3, 2025
Last Updated on July 4, 2025 by Editorial Team Author(s): Adi Insights and Innovations Originally published on Towards AI. Financial reports are critical for assessing a company’s health. They span hundreds of pages, making it difficult to extract specific insights efficiently. Analysts and investors spend hours sifting through balance sheets, income statements and footnotes just to answer simple questions such as — What was the company’s revenue in 2024?
Julien Simon
JULY 3, 2025
In this new video, I introduce two new research-oriented models that Arcee AI recently released on Hugging Face. Homunculus is a 12 billion-parameter instruction model distilled from Qwen3–235B onto the Mistral AI Nemo backbone. It was purpose-built to preserve Qwen’s two-mode interaction style — /think (deliberate chain-of-thought) and /nothink (concise answers) — while running on a single consumer GPU, and even on CPU as demonstrated in the video.
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In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate
JULY 3, 2025
Events Email Briefings Home politics business technology net zero gulf africa security media The CEO Signal Events Email Briefings Podcast About Speakers Bureau Careers Privacy © 2025 Semafor Inc. Home politics business technology net zero gulf africa security media The CEO Signal Events Newsletters Podcast About Speakers Bureau Careers Privacy © 2025 Semafor Inc.
Dataconomy
JULY 3, 2025
Tables in computing play a crucial role in structuring and organizing vast amounts of data, enhancing the ability to retrieve, analyze, and manage information efficiently. They serve not only as a way to present data but also as a foundational component in various applications, such as databases, web development, and data analysis. What is a table in computing?
JULY 3, 2025
Skip to main content Skip to secondary menu Skip to primary sidebar Skip to footer Geeky Gadgets The Latest Technology News Home Top News AI Apple Android Technology Guides Gadgets Hardware Gaming Autos Deals About Implement Automated Claude Code Hooks Notifications for Smarter Workflows 7:05 am July 4, 2025 By Julian Horsey Have you ever found yourself anxiously checking your computer, waiting for a long-running task to finish?
Julien Simon
JULY 3, 2025
In this fun demonstration, you can witness the impressive capabilities of Arcee AI’s AFM-4.5B-Preview, Arcee’s first foundation model, across diverse domains. The demo showcases the model tackling complex knowledge questions, creating sophisticated creative writing, and addressing specialized domain-specific applications in healthcare, finance, technology, and education.
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.
Towards AI
JULY 3, 2025
Last Updated on July 4, 2025 by Editorial Team Author(s): Sai Bhargav Rallapalli Originally published on Towards AI. Introduction: Why Adaptive RAG is a Game-Changer for AI Retrieval When you ask your AI assistant a question, have you ever wondered how it decides whether to answer quickly from its memory or deep-dive into a knowledge base? This isn’t magic.
Machine Learning Research at Apple
JULY 3, 2025
State-Space Models (SSMs), and particularly Mamba, have recently emerged as a promising alternative to Transformers. Mamba introduces input selectivity to its SSM layer (S6) and incorporates convolution and gating into its block definition. While these modifications do improve Mamba's performance over its SSM predecessors, it remains largely unclear how Mamba leverages the additional functionalities provided by input selectivity, and how these interact with the other operations in the Mamba arch
ODSC - Open Data Science
JULY 3, 2025
Salesforce is rapidly scaling its use of AI to automate core business functions, with CEO Marc Benioff revealing that AI now performs between 30% and 50% of the company’s work. The announcement highlights how leading tech firms are reshaping their operations to reduce costs and boost productivity by embedding AI into their workflows. In an interview with Bloomberg, Benioff called the shift a “digital labor revolution,” underscoring the enterprise software company’s aggressive pivot toward AI. “
JULY 3, 2025
Skip to content Menu Today's paper Long Island Sports News Restaurants Opinion Business Things to Do Schools Obituaries Newsday TV Search TOGETHER LI Opinion Commentary Guest Essays Exploring interpretable machine learning Automated narration. Learn more A sign at Cold Spring Harbor Laboratory. Credit: Barry Sloan By Nirali Somia Guest essay Updated July 3, 2025 8:56 pm Share This guest essay reflects the views of Nirali Somia, a graduate student at Cold Spring Harbor Laboratory.
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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