10 Generative AI Key Concepts Explained
KDnuggets
JUNE 4, 2025
In this article we explore 10 generative AI concepts that are key to understanding, whether you are an engineer, user, or consumer of generative AI.
Sat.May 31, 2025 - Fri.Jun 06, 2025
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Researchers Use AI in Pursuit of ALS Treatments
insideBIGDATA
JUNE 3, 2025
Potential treatments for amyotrophic lateral sclerosis (ALS) and other neurodegenerative diseases may already be out there in the form of drugs prescribed for other conditions.
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The Data + AI Summit 2025: Your Guide to the Smartest Scene in Finance
databricks
JUNE 3, 2025
The Big Picture: Why You Should Care Forget stuffy boardrooms and endless PowerPoints.
Inside the LLM system that reads emails like a cybersecurity analyst
Dataconomy
JUNE 3, 2025
Phishing emails, those deceptive messages designed to steal sensitive information, remain a significant cybersecurity threat. As attackers devise increasingly sophisticated tactics, traditional detection methods often fall short. Researchers from the University of Auckland, have introduced a novel approach to combat this issue. Their paper, titled “ MultiPhishGuard: An LLM-based Multi-Agent System for Phishing Email Detection ,” authored by Yinuo Xue, Eric Spero, Yun Sing Koh, and Gi
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!
Top 5 Alternative Data Career Paths and How to Learn Them for Free
KDnuggets
JUNE 5, 2025
How about some alternative options for a data career? Learn about five non-standard career paths, required skills, and how to learn them for free.
IBM Unveils watsonx AI Labs in New York City
insideBIGDATA
JUNE 2, 2025
IBM (NYSE:IBM) announcedwatsonx AI Labs, a developer-first hub in New York City designed for AI builders and AI adoption at scale. watsonx AI Labs connects IBM's enterprise resources and expertise with AI developers building AI applications for business.
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Improve Vision Language Model Chain-of-thought Reasoning
Machine Learning Research at Apple
JUNE 4, 2025
Chain-of-thought (CoT) reasoning in vision language models (VLMs) is crucial for improving interpretability and trustworthiness. However, current training recipes often relying on datasets dominated by short annotations with minimal rationales. In this work, we show that training VLM on short answers leads to poor generalization on reasoning tasks that require more detailed explanations.
5 Error Handling Patterns in Python (Beyond Try-Except)
KDnuggets
JUNE 6, 2025
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 5 Error Handling Patterns in Python (Beyond Try-Except) Stop letting errors crash your app. Master these 5 Python patterns that handle failures like a pro!
Postman Unveils Agent Mode: AI-Native Development Revolutionizes API Lifecycle
insideBIGDATA
JUNE 4, 2025
POST/CON, LOS ANGELES June 4, 2025 Postman, API collaboration platform maker, today announced Agent Mode, anAI-native assistant designed to deliver productivity gains across the API lifecycle.
10 MLOps Tools for Machine Learning Practitioners to Know
Machine Learning Mastery
JUNE 5, 2025
Machine learning is not just about building models.
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.
How I Automated My Machine Learning Workflow with Just 10 Lines of Python
JUNE 6, 2025
The world’s leading publication for data science, AI, and ML professionals. Sign in Sign out Contributor Portal Latest Editor’s Picks Deep Dives Contribute Newsletter Toggle Mobile Navigation LinkedIn X Toggle Search Search Data Science How I Automated My Machine Learning Workflow with Just 10 Lines of Python Use LazyPredict and PyCaret to skip the grunt work and jump straight to performance.
Cysteine depletion triggers adipose tissue thermogenesis and weight loss
Hacker News
JUNE 5, 2025
Caloric restriction and methionine restriction-driven enhanced lifespan and healthspan induces ‘browning’ of white adipose tissue, a metabolic response that increases heat production to defend core body temperature. However, how specific dietary amino acids control adipose thermogenesis is unknown. Here, we identified that weight loss induced by caloric restriction in humans reduces thiol-containing sulfur amino acid cysteine in white adipose tissue.
Apache Iceberg™ v3: Moving the Ecosystem Towards Unification
databricks
JUNE 2, 2025
Apache Iceberg v3, now approved by the Apache Iceberg community, introduces advanced new features and data types.
10 Awesome OCR Models for 2025
KDnuggets
JUNE 6, 2025
Stay ahead in 2025 with the latest OCR models optimized for speed, accuracy, and versatility in handling everything from scanned documents to complex layouts.
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.
How much information do LLMs really memorize? Now we know, thanks to Meta, Google, Nvidia and Cornell
JUNE 5, 2025
Most people interested in generative AI likely already know that Large Language Models (LLMs) like those behind ChatGPT, Anthropics Claude, and Googles Gemini are trained on massive datasets: trillions of words pulled from websites, books, codebases, and, increasingly, other media such as
Tracking Copilot vs. Codex vs. Cursor vs. Devin PR Performance
Hacker News
JUNE 4, 2025
AI Coding Agents Tracking the performance of the various coding agents. Agents Click on each agent to learn more about them. Click on each metric to explore the queries live. Coding Agent Total PRs Merged PRs Success Rate GitHub Copilot {{COPILOT_TOTAL}} {{COPILOT_MERGED}} {{COPILOT_RATE}} OpenAI Codex {{CODEX_TOTAL}} {{CODEX_MERGED}} {{CODEX_RATE}} Cursor Agents {{CURSOR_TOTAL}} {{CURSOR_MERGED}} {{CURSOR_RATE}} Devin {{DEVIN_TOTAL}} {{DEVIN_MERGED}} {{DEVIN_RATE}} Codegen {{CODEGEN_TOTAL}} {{C
Announcing Storage-Optimized Endpoints for Vector Search
databricks
JUNE 6, 2025
Most enterprises sit on a massive amount of unstructured data—documents, images, audio, video—yet only a fraction ever turns into actionable insight.
RLHF 101: A Technical Tutorial on Reinforcement Learning from Human Feedback
ML @ CMU
JUNE 1, 2025
Reinforcement Learning from Human Feedback (RLHF) is a popular technique used to align AI systems with human preferences by training them using feedback from people, rather than relying solely on predefined reward functions. Instead of coding every desirable behavior manually (which is often infeasible in complex tasks) RLHF allows models, especially large language models (LLMs), to learn from examples of what humans consider good or bad outputs.
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
Can AI Score Higher Than Humans on Emotional Intelligence?
JUNE 6, 2025
LLMs outperformed people on tests of emotional intelligence. Can a machine process emotional information better than humans?
The Gutting of America's Medical Research
Hacker News
JUNE 4, 2025
Some cuts have been starkly visible, but the countrys medical grant-making machinery has also radically transformed outside the public eye.
Apache Iceberg v3: Moving the Ecosystem Towards Unification
databricks
JUNE 2, 2025
Apache Iceberg v3, now approved by the Apache Iceberg community, introduces advanced new features and data types.
WEF outlines 23 transformative tech combinations across eight domains
Dataconomy
JUNE 3, 2025
The World Economic Forum (WEF) released a report outlining how combinations of emerging technologies are transforming industries. Business leaders can use this report to inform investment strategies and ecosystem positioning, while policymakers can use it to understand technology intersections. Developed with Capgemini, the Technology Convergence Report introduces the 3C Frameworkcombination, convergence, and compoundingdesigned to help decision-makers identify emerging technology intersections
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.
A multimodal vision foundation model for clinical dermatology
JUNE 5, 2025
Diagnosing and treating skin diseases require advanced visual skills across domains and the ability to synthesize information from multiple imaging modalities. While current deep learning models excel at specific tasks such as skin cancer diagnosis from dermoscopic images, they struggle to meet the complex, multimodal requirements of clinical practice.
(On | No) Syntactic Support for Error Handling
Hacker News
JUNE 3, 2025
Go team plans around error handling support
The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity
Machine Learning Research at Apple
JUNE 4, 2025
Recent generations of frontier language models have introduced Large Reasoning Models (LRMs) that generate detailed thinking processes before providing answers. While these models demonstrate improved performance on reasoning benchmarks, their fundamental capabilities, scal- ing properties, and limitations remain insufficiently understood. Current evaluations primarily fo- cus on established mathematical and coding benchmarks, emphasizing final answer accuracy.
Build a Conversational AI Agent with Rasa
Analytics Vidhya
JUNE 6, 2025
Customer-facing conversational AI assistants don’t operate in a vacuum. They are embedded within well-defined business processes. That’s why these systems are expected to reliably and consistently guide users through each step of a predetermined workflow. However, existing agentic frameworks that leverage a concept of tool calling or function calling to interact with systems (such as […] The post Build a Conversational AI Agent with Rasa appeared first on Analytics Vidhya.
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
Teaching AI models what they don’t know
JUNE 2, 2025
A team of MIT researchers founded Themis AI to quantify AI model uncertainty and address knowledge gaps.
AI Malware Is Here: New Report Shows How Fake AI Tools Are Spreading Ransomware
Hacker News
JUNE 1, 2025
Cisco Talos has uncovered new threats, including ransomware like CyberLock and Lucky_Gh0$t, and a destructive malware called Numero, all disguised as legitimate AI tool installers to target victims.
Iceberg v3: Moving the Ecosystem Towards Unification
databricks
JUNE 2, 2025
Iceberg v3, now approved by the Apache Iceberg community, introduces advanced new features and data types.
AI Engineer 2025 - Improving RecSys & Search with LLM techniques
Eugene Yan
JUNE 3, 2025
Recsys & search are converging with LLMs via semantic IDs, data augmentation, and unified foundation models.
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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