Fri.Jul 18, 2025

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Multiplatform Matrix Multiplication Kernels

Hacker News

We implemented a sophisticated matrix multiplication engine in CubeCL that rivals the performance of cuBLAS and CUTLASS while supporting a wider range of GPUs. Leveraging double buffering, tensor cores, and vectorization, it compiles seamlessly to CUDA, ROCm, WebGPU, Metal, and Vulkan backends without relying on proprietary or third-party binaries. Matrix multiplication is central to modern AI workloads, especially transformers, and optimizing it ourselves was essential to enable kernel fusion a

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A data-to-forecast machine learning system for global weather

Flipboard

Weather forecasting traditionally relies on numerical weather prediction (NWP) systems that integrate global observations, data assimilation (DA), and physics-based models. However, further advances are increasingly constrained by high computational costs, the underutilization of vast observational datasets, and challenges in obtaining finer resolution.

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WiBD Poland – Virtual Speed Mentoring Event

Women in Big Data

On June 26th we hosted our inaugural and super inspiring 2-hour virtual speed mentoring session, bringing together fantastic mentors and eager mentees from diverse backgrounds. Each mentee had the opportunity to connect with three mentors, gaining personalized insights on careers in Big Data, AI, and Data Science. The event kicked off with a panel discussion tackling four key questions, followed by dynamic 1:1 mentoring rotations.

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Career in Data Analytics – Skills And Roles

Pickl AI

Summary: Discover what a career in data analytics looks like in 2025. This guide covers major roles, core skills, industry demand, salary expectations, education paths, and certifications. Find step-by-step strategies on how to become a data analyst, including without prior experience, and see why this profession is future-proof and lucrative. Introduction Are you searching for a dynamic, future-proof career that sits at the heart of business innovation and decision-making?

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Precision in Motion: Why Process Optimization Is the Future of Manufacturing

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.

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What Does Python’s __slots__ Actually Do?

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Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter What Does Python’s __slots__ Actually Do? Learn how Python __slots__ reduces memory and boosts speed with real benchmarks from a data science project used in Allegro’s hiring challenge.

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13 Open-Source Tools to Explore the Agentic AI Ecosystem

ODSC - Open Data Science

As generative AI evolves, the rise of agentic AI  — autonomous systems that understand, plan, and act using large language models (LLMs)  — is rapidly reshaping how developers and data professionals think about automation. These agents aren’t just chatbots; they’re autonomous, tool-using entities capable of executing multi-step tasks, reasoning over data, and adapting over time.

AI

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Transforming Patient Referrals: Providence Uses Databricks MLflow to Accelerate Automation Across 1,000+ Clinics

databricks

Skip to main content Login Why Databricks Discover For Executives For Startups Lakehouse Architecture Mosaic Research Customers Customer Stories Partners Cloud Providers Databricks on AWS, Azure, GCP, and SAP Consulting & System Integrators Experts to build, deploy and migrate to Databricks Technology Partners Connect your existing tools to your Lakehouse C&SI Partner Program Build, deploy or migrate to the Lakehouse Data Partners Access the ecosystem of data consumers Partner Solutions

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Advancing EEG based stress detection using spiking neural networks and convolutional spiking neural networks

Flipboard

Accurate and efficient analysis of Electroencephalogram (EEG) signals is crucial for applications like neurological diagnosis and Brain-Computer Interfaces (BCI). Traditional methods often fall short in capturing the intricate temporal dynamics inherent in EEG data. This paper explores the use of Convolutional Spiking Neural Networks (CSNNs) to enhance EEG signal classification.

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Three CDS Researchers Featured in Major Story on LLMs’ Impact on NLP

NYU Center for Data Science

Large language models have fundamentally transformed how computers understand human language, making years of specialized research obsolete almost overnight. Three current and former CDS researchers played key roles in documenting this seismic shift, earning prominent spots in a major new oral history about the dramatic evolution of the field of natural language processing (NLP).

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Will Agentic AI Replace Traditional Data Analyst Roles?        

Analytics Vidhya

What if your next teammate never sleeps, never misses a deadline, and can crunch terabytes while you grab coffee, would you celebrate the help or fear for your job? That question leads us straight to the big one: Will Agentic AI Replace Traditional Data Analyst Roles? In this article you’ll discover how autonomous agents are […] The post Will Agentic AI Replace Traditional Data Analyst Roles?

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Airflow Best Practices for ETL/ELT Pipelines

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!

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Exhausted man defeats AI model in world coding championship

Hacker News

“Humanity has prevailed (for now!),” writes winner after 10-hour coding marathon against OpenAI.

AI
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Orchestrating Mental Health Advice Via Multiple AI-Based Personas Diagnosing Human Psychological Disorders

Flipboard

In today’s column, I examine a newly identified innovative approach to using generative AI and large language models (LLMs) for medical-related diagnoses, and I then performed a simple mini-experiment to explore the efficacy in a mental health therapeutic analysis context.

AI
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From Linear Regression to XGBoost: A Side-by-Side Performance Comparison

Machine Learning Mastery

Regression is undoubtedly one of the most mainstream tasks machine learning models can address.

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Statistical Decision Theory: Using a 1940s Idea to Fix a Problem in 21st Century AI

Flipboard

In this article the authors’ raise questions regarding how so-called “foundation models” are built and evaluated.

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Whats New in Apache Airflow 3.0 –– And How Will It Reshape Your Data Workflows?

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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Netlight CodePub x Women in Big Data Munich: A Night to Remember!

Women in Big Data

July 3rd evening brought together an amazing community of women and non-binary folks in tech at Netlight Munich, and wow – the conversations, connections, and creativity that filled the room were absolutely electric! What made this night so special: Eye-Opening Moments: Anna Kikesheva brought fresh perspectives on intersectionality and yapping, that sparked important conversations long after her talk ended.

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From Reactive to Predictive: Forecasting Network Congestion with Machine Learning and INT

Flipboard

Learn how machine learning can predict network congestion before it happensThe post From Reactive to Predictive: Forecasting Network Congestion with …

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How to Share Data Bi-Directionally in Snowflake Between China and the US on AWS

phData

This article was co-written by Vinodh Kumar Govindarajan & Sandeep Manivannan. Global organizations often face steep regulatory and architectural roadblocks when sharing data between standard Snowflake accounts (in AWS, Azure, or GCP regions) and China-based Snowflake accounts. Unlike classic Snowflake-to-Snowflake sharing, direct sharing across this boundary simply isn’t possible due to the China region’s separation—operated independently by Digital China Cloud Technology Limited (DCC)—and

AWS
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Frequently Asked Questions about FHE

Flipboard

I work on homomorphic encryption (HE or FHE for “fully” homomorphic encryption) and I have written a lot about it on this blog (see the relevant tag). This article is a collection of short answers to questions I see on various threads and news aggregators discussing FHE. Facts If a service uses FHE and can respond to encrypted queries, can’t the service see your query?

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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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Arva AI (YC S24) Is Hiring an AI Research Engineer (London, UK)

Hacker News

Streamline your AML (Anti-Money Laundering) and KYB (Know Your Business) processes with Arva AI. Arva’s AI agents automate 80% of manual work, delivering faster, more accurate, and compliant financial crime investigations.

AI
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7 Python Web Development Frameworks for Data Scientists

Flipboard

Python web frameworks power everything from fast APIs and machine learning demos to complex web apps, interactive data apps, real-time applications, and production-ready deployments.

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Mango Health (YC W24) Is Hiring

Hacker News

About What Happens at YC? Apply YC Interview Guide FAQ People YC Blog Companies Startup Directory Founder Directory Launch YC Startup Jobs All Jobs ◦ Engineering ◦ Operations ◦ Marketing ◦ Sales Startup Job Guide YC Startup Jobs Blog Find a Co-Founder Library SAFE Resources Startup School Newsletter Requests for Startups For Investors Hacker News Bookface Open main menu Apply for F2025 batch.

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AI and drones still need help from humans to find missing flood victims

Flipboard

With humans and artificial intelligence working together, flood search-and-rescue teams can successfully use existing systems. For search and rescue, AI is not more accurate than humans, but it is far faster.

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A Guide to Debugging Apache Airflow® DAGs

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

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WiBD Munich x SAP & AWS: A Powerful Night of Community and Cloud Sustainability

Women in Big Data

Picture this: Over 80 women from diverse industries, companies, and career stages gathering after a full day of work or study—not just to network, but to connect deeply, support one another, and learn. Real talk. Real people. That’s the kind of energy that filled the flagship building of SAP Labs Campus Munich during our latest Women in Big Data Munich event, held in close collaboration with Amazon Web Services (AWS) and SAP.

AWS
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Fed’s Cook says the central bank is using AI in all these ways, but not for setting policy

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Federal Reserve Gov. Lisa Cook has described the U.S.

AI
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How a new malware attack turns Microsoft Teams against you

Dataconomy

The Matanbuchus malware loader has been distributed via social engineering on Microsoft Teams calls, impersonating IT helpdesk personnel to execute its payloads directly in memory and evade detection. First promoted on the dark web in early 2021, Matanbuchus operates as a malware-as-a-service offering, originally priced at $2,500. In June 2022, threat analyst Brad Duncan reported its involvement in delivering Cobalt Strike beacons during a significant malspam campaign.

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Using Gen AI for Early-Stage Market Research

Flipboard

Generative AI, particularly large language models (LLMs), offers a promising new tool for early-stage market research by simulating customer responses to product concepts.

AI
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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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This is how ChatGPT becomes an agent that can take action

Dataconomy

OpenAI has launched a new AI agent in ChatGPT designed to perform various computer-based tasks for users. The ChatGPT agent can manage calendars, create presentations, and execute code. The ChatGPT agent incorporates features from prior tools like Operator , which navigates websites, and Deep Research , which synthesizes information into concise reports.

AI
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Tiny AI Models Reveal How We Really Make Decisions

Flipboard

Tiny AI Models Reveal How We Really Make Decisions Featured Neuroscience · July 18, 2025 Summary: Decision-making often involves trial and error, but conventional models assume we always act optimally based on past experience. A new study used small, interpretable artificial neural networks to uncover how humans and animals actually make choices—revealing the suboptimal strategies we often use.

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Polarity

Dataconomy

Polarity is a captivating concept that resonates across multiple domains, acting as a key to understanding how disparate elements interact and influence one another. From the fundamental forces of nature to the dynamics of international relations, polarity can dictate behaviors and outcomes. In the realms of science, technology, and even social contexts, exploring polarity can unveil profound insights into both the material world and human interactions.

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AI has a hidden bias against non-native English authors, study finds

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Home Good News Discoveries Innovations Global Good Health Green Impact Space AI Celebrities GNI Subscribe AI has a hidden bias against non-native English authors, study finds A new study shows AI text detectors misidentify non-native English writing, risking unfair rejections in academic publishing. Joshua Shavit Published Jul 18, 2025 1:07 PM PDT Study reveals AI detection tools may unfairly target non-native English writers in academic publishing.

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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