Wed.Jun 11, 2025

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Introducing Agent Bricks: Auto-Optimized Agents Using Your Data

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

Analytics 331
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Bridging the Gap: New Datasets Push Recommender Research Toward Real-World Scale

KDnuggets

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 Bridging the Gap: New Datasets Push Recommender Research Toward Real-World Scale Publicly available datasets in recommender research currently shaping the field.

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Mosaic AI Announcements at Data + AI Summit 2025

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

AI 273
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Why You Need RAG to Stay Relevant as a Data Scientist

KDnuggets

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 Why You Need RAG to Stay Relevant as a Data Scientist How retrieval-augmented generation (RAG) reduces LLM costs, minimises hallucinations, and keeps you employable in the age of AI.

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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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Announcing Lakebase Public Preview

databricks

At the Data and AI Summit, we introduced a new category of operational databases called lakebases for building intelligent applications.

Database 353
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Run LLMs Locally for Free Using Google’s Latest App!

Analytics Vidhya

The world of AI has just taken a gigantic leap forward by Edge Gallery Google. Just in the last week, Google quietly launched AI Edge Gallery, a democratizing application for AI. Google Edge AI enables the execution of powerful language models directly on our smartphones, eliminating dependency on the cloud and offering no subscription fees. […] The post Run LLMs Locally for Free Using Google’s Latest App!

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Top 7 MCP Clients for AI Tooling

KDnuggets

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 Top 7 MCP Clients for AI Tooling The most popular clients that seamlessly and reliably work with MCP servers ranging from IDEs to chatbots and plugins.

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What Is a Lakebase?

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

Database 212
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EchoLeak – 0-Click AI Vulnerability Enabling Data Exfiltration from 365 Copilot

Hacker News

New! Platform Platform AI Runtime Protection Runtime Security for your AI applications and agents Aim for End Users Allow your employees to securely adopt AI AI Agent Security Enterprise-grade security for your AI agents AI Security Posture Management Secure your AI dev lifecycle, from training to inference Latest from our blog The Agentic AI Revolution is Here MCP Explained: The Security Essentials of Proactive AI Go to Blog Use Cases Use Cases Discover Shadow AI AI Adoption Acceleration End-to

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MLflow 3.0: Unified AI Experimentation, Observability, and Governance

databricks

MLflow has become the foundation for MLOps at scale, with over 30 million monthly downloads and contributions from over 850 developers worldwide powering ML and

ML 209
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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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Browser-Based XGBoost: Train Models Without Jupyter or IDEs

Analytics Vidhya

Nowadays, machine learning has become an integral part of various industries such as finance, healthcare, software, and data science. However, to develop a good and working ML model, setting up the necessary environments and tools is essential, and sometimes it may create many problems as well. Now, imagine training models like XGBoost directly in your […] The post Browser-Based XGBoost: Train Models Without Jupyter or IDEs appeared first on Analytics Vidhya.

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Announcing General Availability of Databricks Apps

databricks

We’re excited to announce the General Availability of Databricks Apps, enabling customers to securely build, deploy, and scale interactive data and AI-powered applications natively on

AI 176
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Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents

Hacker News

Today's AI systems have human-designed, fixed architectures and cannot autonomously and continuously improve themselves. The advance of AI could itself be automated. If done safely, that would accelerate AI development and allow us to reap its benefits much sooner. Meta-learning can automate the discovery of novel algorithms, but is limited by first-order improvements and the human design of a suitable search space.

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Can AI Truly Develop a Memory That Adapts Like Ours?

Flipboard

Exploring Titans: A new architecture equipping LLMs with human-inspired memory that learns and updates itself during test-time.

AI 159
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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

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Stop Writing Messy Python: A Clean Code Crash Course

KDnuggets

Writing Python that works is easy. But writing Python that's clean, readable, and maintainable? That's what this crash course is for.

Python 211
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Uptime Industries wants to boost localized AI usage with an ‘AI-in-a-box’ called Lemony AI

Flipboard

Uptime Industries is taking a bet on on-premise AI infrastructure with an “AI-in-a-box” handheld device called Lemony AI. The size of a sandwich, Lemony AI can supposedly run a large language model (LLM), AI agents and AI workflows all on one node.

AI 177
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Text-to-LoRA: Hypernetwork that generates task-specific LLM adapters (LoRAs)

Hacker News

Hypernetworks that adapt LLMs for specific benchmark tasks using only textual task description as the input - SakanaAI/text-to-lora

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AI is changing how employees train—and starting to reduce how much training they need

Flipboard

SEARCH Home News Fortune 500 FORTUNE SEA 500 Fortune 500 Europe Fortune Global 500 Fortune China 500 Great Place to Work More Rankings Tech AI Innovation Cybersecurity Finance Personal Finance Real Estate Economy Investing Banking Crypto Leadership Success Future of Work Workplace Culture C-Suite CEO Initiative Lifestyle Arts & Entertainment Travel & Leisure Well Education Multimedia Live Media Magazine Newsletters Video Podcasts Home News FORTUNE 500 FORTUNE 500 FORTUNE SEA 500 Fortune

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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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Top 11 AI Workshops that You Must Attend in 2025

Analytics Vidhya

Over the past few months, the AI landscape has shifted dramatically. OpenAI’s GPT-4o update brought in seamless voice, vision, and text capabilities to a single model. Google’s Gemini raised the bar for long-context reasoning. Apple is moving in, hinting at deep GenAI integrations across devices. These feature updates signal a new standard for what modern […] The post Top 11 AI Workshops that You Must Attend in 2025 appeared first on Analytics Vidhya.

AI 137
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Step-by-Step Guide to Deploying Machine Learning Models with FastAPI and Docker

Flipboard

You've trained your machine learning model, and it's performing great on test data.

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Here’s How You Can Get Data from Multiple Sources on Power BI

Analytics Vidhya

You have Power BI on your system, and you wonder, “Can I actually fetch data from more than one source?” Like maybe six different sources, or some Excel files, with an SQL database, or even pull in some live exchange rates from the web? Let me answer that in short – yes, you totally can. […] The post Here’s How You Can Get Data from Multiple Sources on Power BI appeared first on Analytics Vidhya.

Power BI 160
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Why high quality data annotation is the backbone of AI training?

Dataconomy

AI doesn’t learn in a bubble. It needs clearly labeled data to train and predict effectively. If the labels are wrong, noisy, or inconsistent, model performance suffers, sometimes in ways you can’t see until production. Working with a skilled data annotation company can make the difference between a model that works and one that doesn’t. Labeling isn’t just a step in the pipeline.

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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

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Institutional Books: A 242B token dataset from Harvard Library's collections

Hacker News

Large language models (LLMs) use data to learn about the world in order to produce meaningful correlations and predictions. As such, the nature, scale, quality, and diversity of the datasets used to train these models, or to support their work at inference time, have a direct impact on their quality. The rapid development and adoption of LLMs of varying quality has brought into focus the scarcity of publicly available, high-quality training data and revealed an urgent need to ground the stewards

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Zero-click AI data leak flaw uncovered in Microsoft 365 Copilot

Flipboard

A new attack dubbed 'EchoLeak' is the first known zero-click AI vulnerability that enables attackers to exfiltrate sensitive data from Microsoft 365 …

AI 139
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Chatterbox TTS

Hacker News

SoTA open-source TTS. Contribute to resemble-ai/chatterbox development by creating an account on GitHub.

AI 130
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Data dredging

Dataconomy

Data dredging is a term that raises important conversations about the integrity of research practices. In an age where vast amounts of data are generated and analyzed, the potential for uncovering misleading relationships becomes significant. Researchers may uncover statistically significant results without any prior hypothesis, leading to questions on the viability and ethics of their findings.

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Maximizing Profit and Productivity: The New Era of AI-Powered Accounting

Speaker: Yohan Lobo and Dennis Street

In the accounting world, staying ahead means embracing the tools that allow you to work smarter, not harder. Outdated processes and disconnected systems can hold your organization back, but the right technologies can help you streamline operations, boost productivity, and improve client delivery. Dive into the strategies and innovations transforming accounting practices.

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Training AI to Detect Disease: Stand Up To Cancer’s Julian Adams

Flipboard

Menu Search Topics Data, AI, & Machine Learning Innovation Leadership Managing Technology Marketing Operations Social Responsibility Strategy Workplace, Teams, & Culture All Topics Trending AI & Machine Learning Organizational Culture Hybrid Work Our Research Big ideas Research Projects Artificial Intelligence and Business Strategy Responsible AI Strategic Measurement Future of Leadership All Research Projects Spotlight Most Popular AI in Action Hybrid Work Coaching for the Future

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Data catalog

Dataconomy

Data catalogs play a pivotal role in modern data management strategies, acting as comprehensive inventories that enhance an organization’s ability to discover and utilize data assets. By providing a centralized view of metadata, data catalogs facilitate better analytics, data governance, and decision-making processes. Let’s explore what data catalogs are and how they support organizations in managing their data effectively.

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Shaped (YC W22) 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 art can't match human creativity, yet — researchers

Flipboard

Generative AI models are bad at representing things that require human senses, like smell and touch. Their creativity is 'hollow and shallow,' say experts.

AI 159
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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?