240 A Practical Guide to Multimodal Data Analytics
KDnuggets
JUNE 17, 2025
BigQuery's ObjectRef unifies structured and unstructured data, enabling multimodal analytics via SQL and Python.
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Building Effective AI Agents
Hacker News
JUNE 17, 2025
Discover how Anthropic approaches the development of reliable AI agents. Learn about our research on agent capabilities, safety considerations, and technical framework for building trustworthy AI.
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AMD Announces New GPUs, Development Platform, Rack Scale Architecture
insideBIGDATA
JUNE 14, 2025
AMD issued a raft of news at their Advancing AI 2025 event this week, an update on the company’s response to NVIDIA’s 90-plus percent market share dominance in the GPU and AI markets. And the company offered a sneak peak at what to expect from their next generation of EPYC CPUs and Instinct GPUs.
Announcing managed MCP servers with Unity Catalog and Mosaic AI Integration
databricks
JUNE 18, 2025
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
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.
Positional Encodings in Transformer Models
Machine Learning Mastery
JUNE 14, 2025
This post is divided into five parts; they are: • Understanding Positional Encodings • Sinusoidal Positional Encodings • Learned Positional Encodings • Rotary Positional Encodings (RoPE) • Relative Positional Encodings Consider these two sentences: "The fox jumps over the dog" and "The dog jumps over the fox".
Agentic AI: A Self-Study Roadmap
KDnuggets
JUNE 17, 2025
A comprehensive guide to building AI systems that can plan, reason, and act autonomously — from basic tool-using agents to sophisticated multi-agent collaborations.
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Q-learning is not yet scalable
Hacker News
JUNE 14, 2025
Q-learning is not yet scalable Seohong Park UC Berkeley June 2025 Does RL scale? Over the past few years, weve seen that next-token prediction scales, denoising diffusion scales, contrastive learning scales, and so on, all the way to the point where we can train models with billions of parameters with a scalable objective that can eat up as much data as we can throw at it.
AI Agents in Analytics Workflows: Too Early or Already Behind?
JUNE 13, 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 AI Agents in Analytics Workflows: Too Early or Already Behind? A look at how AI agents are reshaping the data analytics workflow and whether you’re ahead or behind the curve.
From 10s to 2s: Complete p95 Latency Reduction Roadmap Using Cloud Run and Redis
Analytics Vidhya
JUNE 18, 2025
Imagine looking for a flight on a travel website and waiting for 10 seconds as the results load up. Feels like an eternity, right? Modern travel search platforms must return results almost instantly, even under heavy load. Yet, not long ago, our travel search engine’s API had a p95 latency hovering around 10 seconds. This […] The post From 10s to 2s: Complete p95 Latency Reduction Roadmap Using Cloud Run and Redis appeared first on Analytics Vidhya.
NotebookLM + Deep Research: The Ultimate Learning Hack
KDnuggets
JUNE 17, 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 NotebookLM + Deep Research: The Ultimate Learning Hack Let’s unlock smarter, faster learning by combining NotebookLM with deep research strategies.
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.
OpenAI Wins $200M Contract Targeting Defense Department Efficiency
insideBIGDATA
JUNE 17, 2025
OpenAI announced it has won a $200 million, one-year pilot project contract with the U.S.
Foundations of Computer Vision
Hacker News
JUNE 15, 2025
Preface Foundations of Computer Vision Twitter LinkedIn Preface Copyright Notation 1 The Challenge of Vision Foundations 2 A Simple Vision System 3 Looking at Images 4 Computer Vision and Society Image Formation 5 Imaging 6 Lenses 7 Cameras as Linear Systems 8 Color Foundations of Learning 9 Introduction to Learning 10 Gradient-Based Learning Algorithms 11 The Problem of Generalization 12 Neural Networks 13 Neural Networks as Distribution Transformers 14 Backpropagation Foundations of Image Proc
Scale AI confirms ‘significant’ investment from Meta, says CEO Alexandr Wang is leaving
JUNE 13, 2025
Data-labeling company Scale AI confirmed on Friday that it has received a “significant” investment from Meta that values the startup at $29 billion.
Andrej Karpathy on the Rise of Software 3.0
Analytics Vidhya
JUNE 19, 2025
Let’s talk about the future of software, and trust me, it’s happening right now! I recently caught Andrej Karpathy’s keynote at AI Startup School in San Francisco, and wow, I had to share what I learned. Karpathy, who has previously worked at Tesla, OpenAI, and Stanford, gave us an insider look at Software 3.0, the next big evolution in programming.
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
Automating GitHub Workflows with Claude 4
KDnuggets
JUNE 13, 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 Automating GitHub Workflows with Claude 4 Learn how to set up the Claude App in your GitHub repository and invoke it directly through comments.
Voltage Park Partners with VAST Data
insideBIGDATA
JUNE 17, 2025
AI operating system company VAST Data, the AI Operating System company, today announced that Voltage Park, the enterprise-grade AI factory company, has partnered with VAST to deliver the high-performance data services required for demanding AI workloads. Voltage Park has deployed.
Is There a Half-Life for the Success Rates of AI Agents?
Hacker News
JUNE 18, 2025
Building on the recent empirical work of Kwa et al.
Mastodon updates its terms to prohibit AI model training
JUNE 17, 2025
Social networks are bolstering their terms of service against scrapers and bots that crawl the website to train AI 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.
New Tools In The Data Mechanics Workshop
Adrian Bridgwater for Forbes
JUNE 18, 2025
As data now becomes a more tangible thing, asset and enitty in enterprise technology alongside, we can consider its use as more than just information.
The 7 Most Useful Jupyter Notebook Extensions for Data Scientists
KDnuggets
JUNE 18, 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 The 7 Most Useful Jupyter Notebook Extensions for Data Scientists In this article, we will explore seven different Jupyter Notebook extensions that will improve your work.
FedEx Deploys Hellebrekers Robotic Sorting Arm in Germany
insideBIGDATA
JUNE 13, 2025
Frankfurt a. M., June 13, 2025 — Federal Express said it has introduced an AI-powered sorting robot at its air network location in Cologne, Germany, the first of its kind in the European FedEx network.
Accumulation of cognitive debt when using an AI assistant for essay writing task
Hacker News
JUNE 15, 2025
This study explores the neural and behavioral consequences of LLM-assisted essay writing. Participants were divided into three groups: LLM, Search Engine, and Brain-only (no tools). Each completed three sessions under the same condition. In a fourth session, LLM users were reassigned to Brain-only group (LLM-to-Brain), and Brain-only users were reassigned to LLM condition (Brain-to-LLM).
The 2nd Generation of Innovation Management: A Survival Guide
Speaker: Chris Townsend, VP of Product Marketing, Wellspring
Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?
Advanced Feature Engineering Using Scikit-Learn Pipelines with Pandas’ ColumnTransformer and NumPy Arrays - MachineLearningMastery.com
JUNE 13, 2025
Advanced Feature Engineering Using Scikit-Learn Pipelines with Pandas’ ColumnTransformer and NumPy Arrays Image by Editor Pandas, NumPy, and …
LangGraph Studio
Analytics Vidhya
JUNE 20, 2025
Have you ever found it frustrating to build AI agents that perform multiple tasks? LangGraph Studio is here to solve this problem by offering a visual and interactive way to design, manage, and debug agents. Built on the LangGraph framework, this desktop tool lets you create agent workflows using a simple drag-and-drop interface. You can […] The post LangGraph Studio appeared first on Analytics Vidhya.
Polars for Pandas Users: A Blazing Fast DataFrame Alternative
KDnuggets
JUNE 16, 2025
Learn how to migrate from Pandas to Polars with practical examples, side-by-side code comparisons, and strategies to unlock performance improvements on your existing data workflows.
Leveraging Agentic AI in Games
databricks
JUNE 17, 2025
Introduction Studios have years of experience building sophisticated, dynamic systems that work within the constraints of game development.
Apache Airflow® Best Practices: DAG Writing
Speaker: Tamara Fingerlin, Developer Advocate
In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!
Reasoning by Superposition: A Perspective on Chain of Continuous Thought
Hacker News
JUNE 18, 2025
Large Language Models (LLMs) have demonstrated remarkable performance in many applications, including challenging reasoning problems via chain-of-thoughts (CoTs) techniques that generate ``thinking tokens'' before answering the questions. While existing theoretical works demonstrate that CoTs with discrete tokens boost the capability of LLMs, recent work on continuous CoTs lacks a theoretical understanding of why it outperforms discrete counterparts in various reasoning tasks such as dir
Unpacking the bias of large language models
JUNE 17, 2025
In a new study, researchers discover the root cause of a type of bias in LLMs, paving the way for more accurate and reliable AI systems.
How Multimodal LLMs Work – The Vision Story
Analytics Vidhya
JUNE 17, 2025
Multimodal Large Language Models (MLLMs) have lately become the talk of the AI universe. It is dynamically reshaping how AI systems understand and interact with our complex, multi-sensory world. These multi-sensory inputs that we get can also be coined as our different modalities (images, audio, etc.). From Google’s latest Veo 3, generating state-of-the-art videos to […] The post How Multimodal LLMs Work – The Vision Story appeared first on Analytics Vidhya.
Top 5 Frameworks for Distributed Machine Learning
KDnuggets
JUNE 20, 2025
Use these frameworks to optimize memory and compute resources, scale your machine learning workflow, speed up your processes, and reduce the overall cost.
How to Achieve High-Accuracy Results When Using LLMs
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
A Comprehensive Guide to RAG Developer Stack
Analytics Vidhya
APRIL 3, 2025
Building a RAG (Retrieval-Augmented Generation) application isnt just about plugging in a few toolsits about choosing the right stack that makes retrieval and generation not just possible but efficient and scalable. Lets say youre working on something like Smart Chat with PDFan AI app that lets users interact with PDFs conversationally. Its not as simple […] The post A Comprehensive Guide to RAG Developer Stack appeared first on Analytics Vidhya.
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