How to Market Yourself as a Data Professional on LinkedIn
KDnuggets
MAY 26, 2025
Want recruiters and collaborators to find you? Fix your LinkedIn, even if you hate self-promotion.
Sat.May 24, 2025 - Fri.May 30, 2025
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Unlocking intelligent agents through connected data
MAY 26, 2025
Agentic AI is one of the latest concepts in artificial intelligence, now gaining real traction beyond its early buzz.
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Selecting the Right Feature Engineering Strategy: A Decision Tree Approach
MAY 27, 2025
In machine learning model development, feature engineering plays a crucial role since real-world data often comes with noise, missing values, skewed distributions, and even inconsistent formats.
How good are large language models at playing games?
Dataconomy
MAY 28, 2025
Video games, with their demands on perception, memory, and strategic planning, seem like a natural arena for testing the capabilities of modern Large Language Models (LLMs). However, researchers have found that simply “dropping” LLMs into popular games often fails to provide an effective evaluation. A new benchmark, LMGAME-BENCH, developed by a team from UC San Diego, MBZUAI, and UC Berkeley, aims to change that by creating a more reliable and insightful way to assess how well LLMs c
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.
Behavioral responses of domestic cats to human odor
Hacker News
MAY 30, 2025
People all around the world live with cats and cats engage in many social behaviors toward their owners. Olfaction is one of the most important sensory abilities in cats, yet its role in recognizing humans remains unclear. In this study, we assessed the role and characteristics of olfaction in the discrimination of known or unknown humans by cats using ethological methods.
AI vs. Humans: Six Ways People Break AI (and How to Fix It)
ODSC - Open Data Science
MAY 30, 2025
AI doesnt struggle with logic or computation. It struggles withpeople. For all the hype, most AI failures arent about the models themselves but how they interact with people. AI is precise, structured, and operates within the boundaries of its training. Humans? Were unpredictable, creative, and often ambiguous in ways AI isnt builtfor. If youve ever seen an otherwise capable AI system confidently generate nonsense or react in an unexpected way, chances are the issue isnt just the modelits how it
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AI First Puts Humans First
O'Reilly Media
MAY 28, 2025
While I prefer AI native to describe the product development approach centered on AI that were trying to encourage at OReilly, Ive sometimes used the term AI first in my communications with OReilly staff. And so I was alarmed and dismayed to learn that in the press, that term has now come to mean using AI to replace people. Many Silicon Valley investors and entrepreneurs even seem to view putting people out of work as a massive opportunity.
Sqawk: A fusion of SQL and Awk: Applying SQL to text-based data files
Hacker News
MAY 26, 2025
A fusion of SQL and awk: Applying SQL to text-based data files - jgarzik/sqawk
Debit card holds in the age of instant payments: A data systems breakdown
Dataconomy
MAY 27, 2025
Debit cards were designed to offer fast, seamless access to money. But despite the rise of instant payment technologies , many transactions still encounter holds temporary authorization requirements that freeze funds before final settlement. These holds often confuse users, especially when transactions appear pending long after the purchase. Understanding the underlying structure of debit holds helps consumers better navigate delays and potential overdraft risks.
How Rufus doubled their inference speed and handled Prime Day traffic with AWS AI chips and parallel decoding
MAY 28, 2025
Large language models (LLMs) have revolutionized the way we interact with technology, but their widespread adoption has been blocked by high inference latency, limited throughput, and high costs associated with text generation. These inefficiencies are particularly pronounced during high-demand events like Amazon Prime Day, where systems like Rufusthe Amazon AI-powered shopping assistantmust handle massive scale while adhering to strict latency and throughput requirements.
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!
CLIP-UP: A Simple and Efficient Mixture-of-Experts CLIP Training Recipe with Sparse Upcycling
Machine Learning Research at Apple
MAY 26, 2025
Mixture-of-Experts (MoE) models are crucial for scaling model capacity while controlling inference costs. While integrating MoE into multimodal models like CLIP improves performance, training these models is notoriously challenging and expensive. We propose CLIP-Upcycling (CLIP-UP), an efficient alternative training strategy that converts a pre-trained dense CLIP model into a sparse MoE architecture.
Compiler Explorer and the Promise of URLs That Last Forever
Hacker News
MAY 28, 2025
How we're preserving 12,000 legacy links as Google's URL shortener rides into the sunset
Is artificial intelligence actually killing all the entry-level tech jobs?
Dataconomy
MAY 28, 2025
The question of whether and when AI will begin to replace human labor has long been a subject of intense debate. Researchers at SignalFire , a data-driven venture capital firm that tracks workforce trends across more than 600 million professionals and 80 million companies on LinkedIn, believe they may be witnessing the initial signs of AIs impact on employment dynamics.
Less is more: Meta study shows shorter reasoning improves AI accuracy by 34%
MAY 28, 2025
Researchers from Metas FAIR team and The Hebrew University of Jerusalem have discovered that forcing large language models to think less actually improves their performance on complex reasoning tasks.
Whats New in Apache Airflow 3.0 –– And How Will It Reshape Your Data Workflows?
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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.
The Art of Writing Readable Python Functions
KDnuggets
MAY 28, 2025
If your functions need comments to be understood, its probably time for a rewrite. Learn the key habits that make Python functions readable by design.
The Blowtorch Theory: A New Model for Structure Formation in the Universe
Hacker News
MAY 28, 2025
How early, sustained, supermassive black hole jets carved out cosmic voids, shaped filaments, and generated magnetic fields
Failover
Dataconomy
MAY 30, 2025
Failover is a critical component of modern IT infrastructure, ensuring that systems remain operational even in the face of unexpected challenges. Imagine a scenario where a business’s primary server suddenly failswhether due to hardware malfunction or a power outagewithout a failover system in place, the organization would face significant downtime.
DeepDTAGen: a multitask deep learning framework for drug-target affinity prediction and target-aware drugs generation
MAY 29, 2025
Identifying novel drugs that can interact with target proteins is a highly challenging, time-consuming, and costly task in drug discovery and development. Numerous machine learning-based models have recently been utilized to accelerate the drug discovery process. However, these existing methods are primarily uni-tasking, either designed to predict drug-target interaction (DTI) or generate new drugs.
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.
Part 3: Building an AI-powered assistant for investment research with multi-agent collaboration in Amazon Bedrock and Amazon Bedrock Data Automation
AWS Machine Learning Blog
MAY 28, 2025
In the financial services industry, analysts need to switch between structured data (such as time-series pricing information), unstructured text (such as SEC filings and analyst reports), and audio/visual content (earnings calls and presentations). Each format requires different analytical approaches and specialized tools, creating workflow inefficiencies.
FlowTSE: Target Speaker Extraction with Flow Matching
Hacker News
MAY 28, 2025
Target speaker extraction (TSE) aims to isolate a specific speaker's speech from a mixture using speaker enrollment as a reference. While most existing approaches are discriminative, recent generative methods for TSE achieve strong results. However, generative methods for TSE remain underexplored, with most existing approaches relying on complex pipelines and pretrained components, leading to computational overhead.
Introducing Apache Spark 4.0
databricks
MAY 28, 2025
Apache Spark 4.0 marks a major milestone in the evolution of the Spark analytics engine.
Discover how nonprofits can utilize no-code machine learning with Amazon SageMaker Canvas
MAY 28, 2025
Nonprofit organizations are on the frontlines of addressing the worlds most pressing challenges and often doing so with limited resources. Machine learning (ML) has emerged as a powerful tool to help nonprofits expedite manual processes, quickly unlock insights from data, and accelerate mission outcomesfrom personalizing marketing materials for donors to predicting member churn and donation patterns.
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
Data masking
Dataconomy
MAY 30, 2025
Data masking is an innovative approach that allows organizations to utilize their sensitive data without exposing actual values. This technology is especially relevant in today’s data-driven landscape, where compliance and security are of utmost importance. By providing a framework for safeguarding data while maintaining its utility, data masking supports a seamless balance between operational efficiency and data protection.
Singularities in Space-Time Prove Hard to Kill
Hacker News
MAY 27, 2025
Black hole and Big Bang singularities break our best theory of gravity. A trilogy of theorems hints that physicists must go to the ends of space and time to find a fix.
Groq Named Inference Provider for Bell Canada’s Sovereign AI Network
insideBIGDATA
MAY 28, 2025
Groq announced a partnership with Bell Canada to power Bell AI Fabric, the countrys largest sovereign AI infrastructure project to establish a national AI network at six sites, targeting 500MW of hydro-powered.
Latest OpenAI models ‘sabotaged a shutdown mechanism’ despite commands to the contrary
MAY 26, 2025
Researchers observe the latest OpenAI models sabotaging shutdown attempts, despite explicit commands to allow such interruptions.
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.
World-Consistent Video Diffusion With Explicit 3D Modeling
Machine Learning Research at Apple
MAY 29, 2025
As diffusion models dominating visual content generation, efforts have been made to adapt these models for multi-view image generation to create 3D content. Traditionally, these methods implicitly learn 3D consistency by generating only RGB frames, which can lead to artifacts and inefficiencies in training. In contrast, we propose generating Normalized Coordinate Space (NCS) frames alongside RGB frames.
I used o3 to find a remote zeroday in the Linux SMB implementation
Hacker News
MAY 24, 2025
In this post I'll show you how I found a zeroday vulnerability in the Linux kernel using OpenAI's o3 model. I found the vulnerability with nothing more complicated than the o3 API - no scaffolding, no agentic frameworks, no tool use. Recently I've been auditing ksmbd for vulnerabilities.
Education as an export
FlowingData
MAY 28, 2025
The administration is making it more difficult if not impossible for foreign students to attend college and universities in the United States. Catherine Rampell, for Washington Post Opinion, argues that doing so is increasing trade deficits when treating education as an export. We also run a huge trade surplus in this sector, meaning that foreigners buy much more education from the United States than Americans buy from other countries.
Traditional diagnostic decision support systems outperform generative AI for diagnosing disease
MAY 29, 2025
Researchers compared their long-standing diagnostic decision support systems AI tool, DXplain, with modern large language models like ChatGPT and Gemini, finding DXplain performed slightly better. They say their findings suggest that combining DXplain with LLMs could enhance clinical diagnosis and improve both technologies.
A Guide to Debugging Apache Airflow® DAGs
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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
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