JULY 1, 2025
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Dataconomy
JULY 1, 2025
Real-time analytics is transforming the way businesses interact with their data, enabling them to make informed decisions swiftly and effectively. By analyzing data as it streams into a system, organizations can gain instantaneous insights into operations, customer behavior, and more. This capability is essential in today’s fast-paced environment, where timely information can make all the difference in achieving a competitive edge.
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ODSC - Open Data Science
JULY 1, 2025
As artificial intelligence continues its rapid evolution, organizations across industries are wrestling with a familiar conundrum: how to access and leverage data while preserving privacy and complying with stringent regulations. Enter synthetic data — a transformative approach to AI development that addresses these challenges head-on. At the forefront of this movement is Alexandra Ebert, Chief AI and Data Democratization Officer at MOSTLY AI, a global leader in privacy-preserving synthetic dat
Data Science Dojo
JULY 1, 2025
Agentic AI communication protocols are at the forefront of redefining intelligent automation. Unlike traditional AI, which often operates in isolation, agentic AI systems consist of multiple autonomous agents that interact, collaborate, and adapt to complex environments. These agents, whether orchestrating supply chains, powering smart homes, or automating enterprise workflows, must communicate seamlessly to achieve shared goals.
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.
Dataconomy
JULY 1, 2025
According to 9to5Google , Google issued company-wide AI coding guidance to its software engineers, detailing best practices for AI adoption in their work, following CEO Sundar Pichai’s April 2025 statement that over 30% of Google’s code is AI-generated. The guidance, formally released today, was preceded by an email to all software engineers on Monday, providing recommendations and best practices for integrating AI into their workflows.
NYU Center for Data Science
JULY 1, 2025
Neural networks struggle to learn complex behaviors that come naturally to animals, especially when those behaviors involve sophisticated decision-making over long time scales. Research by NYU Center for Neural Science Postdoctoral Researcher David Hocker , NYU Center for Neural Science Assistant Professor of Neural Science Christine M. Constantinople , and CDS Associate Professor of Neural Science and Data Science Cristina Savin shows that the solution lies in mimicking how animals actually lea
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Machine Learning Research at Apple
JULY 1, 2025
Recent works have shown a surprising result: a small fraction of Large Language Model (LLM) parameter outliers are disproportionately important to the quality of the model. LLMs contain billions of parameters, so these small fractions, such as 0.01%, translate to hundreds of thousands of parameters. In this work, we present an even more surprising finding: Pruning as few as a single parameter can destroy an LLM's ability to generate text -- increasing perplexity by 3 orders of magnitude and redu
JULY 1, 2025
A healthy diet has been associated with a reduced risk of dementia. Here we devised a Machine learning-assisted Optimizing Dietary intERvention against demeNtia risk (MODERN) diet based on data from 185,012 UK Biobank participants, 1,987 of whom developed all-cause dementia over 10 years. We first identified 25 food groups associated with dementia in a food-wide association analysis.
databricks
JULY 1, 2025
Today, we’re introducing the Databricks AI Governance Framework (DAGF v1.0), a structured and practical approach to governing AI adoption across the enterprise.
Towards AI
JULY 1, 2025
Last Updated on July 2, 2025 by Editorial Team Author(s): Poojan Vig Originally published on Towards AI. On June 25, 2025, Google dropped a nuclear bomb on the AI coding assistant market. While developers have been shelling out $20-$200 monthly for Claude Code, GitHub Copilot, and other AI tools, Google just released Gemini CLI — a terminal-based AI assistant that matches (and often beats) these expensive tools for the revolutionary price of $0.
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!
JULY 1, 2025
LOG IN SIGN UP SEARCH View More Results SEARCH LOG IN Space Tech Nature Earth History People Health Core Sciences Visual Stories Newsletters AI Automation Computing Energy Internet Materials Robotics AI Automation Computing Energy Internet Materials Robotics Cosmos » Computing Quantum AI used in world-first semiconductor fabrication July 2, 2025 Evrim Yazgin Cosmos science journalist By Evrim Yazgin Engineers at Australia’s national science agency, CSIRO, have performed a world-first use o
Hacker News
JULY 1, 2025
Skip to content Explore Topics Architecture and Hardware Artificial Intelligence and Machine Learning Computer History Computing Applications Computing Profession Data and Information Education HCI Philosophy of Computing Security and Privacy Society Software Engineering and Programming Languages Systems and Networking Theory Latest Issue Latest Issue July 2025 , Vol. 68 No. 7 Previous Issue June 2025 , Vol. 68 No. 6 Explore the archive Search Open Membership Navigation Settings Sign Out Sign In
Analytics Vidhya
JULY 1, 2025
Have you ever used vibe coding to write code? Taking a sip of your coffee while AI is coding for you? I’m sure you have done it. Now, think what if tasks like writing test cases, upgrading packages took care of themselves, while you focus on logic? Seems astonishing, right? Now this is possible with […] The post Jules – Google’s FREE AI Coding Agent is UNREAL appeared first on Analytics Vidhya.
Hacker News
JULY 1, 2025
Multiple parallel Claude-Code sessions power a self-improving AI factory where agents write, review, and refine code.
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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.
Dataconomy
JULY 1, 2025
Security information management (SIM) plays a crucial role in the protection of sensitive data and maintaining the integrity of organizational security frameworks. As cyber threats grow increasingly sophisticated, the demand for effective data analysis and incident response systems becomes more pressing. By systematically gathering and analyzing security-related data from multiple sources, SIM ensures that organizations can monitor their security posture effectively and respond promptly to emerg
JULY 1, 2025
From government services and enterprise productivity to healthcare, media, and education, the real value will come from AI that is context-aware, locally relevant, and seamlessly embedded into everyday systems.
Precisely
JULY 1, 2025
Over the past few weeks, I’ve been exploring ways to streamline access to Precisely’s APIs using AI-first tooling. One promising approach has been to leverage the Model Context Protocol (MCP)—an open standard developed by Anthropic—to connect APIs with modern large language model (LLM) interfaces, such as Claude Desktop. Today, I’d like to share a lightweight setup that enables developers—and even non-developers—to interact with our APIs using natural language prompts.
Dataconomy
JULY 1, 2025
Relational databases serve as the backbone for modern data management, allowing organizations to store and retrieve information efficiently. With their structured approach to data, these databases enable not only easy access but also meaningful relationships between different data points. As businesses increasingly rely on data-driven decisions, understanding how relational databases operate is essential.
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.
JULY 1, 2025
For those who follow the world of AI development closely — especially but not exclusively AI coding — one of the hottest topics over the past couple of months has been Model Context Protocol.
Dataconomy
JULY 1, 2025
Serverless databases represent a transformative shift in how applications manage data storage. By leveraging the principles of serverless computing, organizations can streamline their workflows, minimize costs, and enhance efficiency. The allure of a frictionless setup, where developers can focus on writing code rather than managing infrastructure, has made serverless databases a popular choice in the cloud landscape.
JULY 1, 2025
Recommendation systems are prevalent on the Internet but are prone to feedback loops that cause “echo chamber” effects.
phData
JULY 1, 2025
Hundreds, maybe even thousands, of queries are running in your Snowflake AI Data Cloud account daily. With all these queries running, it’s difficult to determine who’s using them and what they’re for. This is an especially difficult scenario for companies that use a chargeback model for their departments. To alleviate this issue, Snowflake has developed query tags.
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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 1, 2025
Microsoft says its diagnostic health care tool is not only making house calls, it’s doing a better job than physicians.
Hacker News
JULY 1, 2025
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JULY 1, 2025
How are devs at AI startups and in Big Tech using AI tools, and what do they think of them?
Hacker News
JULY 1, 2025
Hacker News new | past | comments | ask | show | jobs | submit login Ask HN: Who wants to be hired? (July 2025) 67 points by whoishiring 10 hours ago | hide | past | favorite | 170 comments Share your information if you are looking for work. Please use this format: Location: Remote: Willing to relocate: Technologies: Résumé/CV: Email: Please only post if you are personally looking for work.
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.
JULY 1, 2025
New reasoning models have something interesting and compelling called “chain of thought.” What that means, in a nutshell, is that the engine spits out a line of text attempting to tell the user what the LLM is “thinking about” as it completes a task.
MoorInsights for Forbes
JULY 1, 2025
Sony's over-the-counter hearing aids are becoming better and more accessible for a broader audience of consumers than previous generations of hearings aids.
JULY 1, 2025
At the intersection of artificial intelligence and music creation there are two schools of thought.
Iguazio
JULY 1, 2025
Customer service chatbots and co-pilots and smart call center analysis applications are prime use cases for AI and generative AI. These AI systems and agents can provide real-time recommendations, support customer service at scale, generate insights that can be used in downstream applications to reduce churn and increase revenue, and more. How can customer service organizations grow and optimize their use of data and AI?
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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