Analytics Vidhya

JUNE 19, 2025

If the Godfather of AI, tells you to “train to be a plumber” you know that you got to pay attention, atleast thats what got me hooked. In a recent conversation, Geoffrey Hinton discussed the various possibilities in the upcoming era of superintelligent AI and if you are wondering how did this conversation go about, […] The post 7 Key Highlights from Geoffrey Hinton on Superintelligent AI appeared first on Analytics Vidhya.

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insideBIGDATA

JUNE 18, 2025

SAN MATEO, CA – June 18, 2025 — Analytics automation company Savant Labs today launched its Summer 2025 Release, including their Agentic Analytics Suite and Intelligence Graph, one-click integration with Anthropic Claude, and migration tools to help enterprises modernize from legacy self-service analytics platforms.

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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.

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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".

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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.

AI

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.

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insideBIGDATA

JUNE 17, 2025

OpenAI announced it has won a $200 million, one-year pilot project contract with the U.S.

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Hacker News

JUNE 18, 2025

Building on the recent empirical work of Kwa et al.

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Flipboard

JUNE 18, 2025

Skip to main content Skip to secondary menu Skip to primary sidebar Skip to footer Geeky Gadgets The Latest Technology News Home Top News AI Apple Android Technology Guides Gadgets Hardware Gaming Autos Deals About Self-Evolving AI : New MIT AI Rewrites its Own Code and it’s Changing Everything 1:13 pm June 18, 2025 By Julian Horsey What if artificial intelligence could not only learn but also rewrite its own code to become smarter over time?

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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

AI

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.

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Machine Learning Research at Apple

JUNE 20, 2025

Accommodating human preferences is essential for creating aligned LLM agents that deliver personalized and effective interactions. Recent work has shown the potential for LLMs acting as writing agents to infer a description of user preferences. Agent alignment then comes from conditioning on the inferred preference description. However, existing methods often produce generic preference descriptions that fail to capture the unique and individualized nature of human preferences.

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insideBIGDATA

JUNE 20, 2025

AI advancements will fundamentally change how enterprises use and manage data, making it essential to embrace and understand this transformation. For organizations looking to adopt AI at scale, the state of their databases is a critical success factor. Poor data quality, weak governance.

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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

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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.

AI

Flipboard

JUNE 17, 2025

Social networks are bolstering their terms of service against scrapers and bots that crawl the website to train AI models.

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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.

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Machine Learning Machine Learning 215

Machine Learning Mastery

JUNE 19, 2025

MLOps, or machine learning operations, is all about managing the end-to-end process of building, training, deploying, and maintaining machine learning models.

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Machine Learning Machine Learning Python 139

insideBIGDATA

JUNE 19, 2025

". the report finds that while 58% of organizations have implemented or optimized data observability programs – systems that monitor detect, and resolve data quality and pipeline issues in real-time – 42% still say they do not trust the outputs.

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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?

databricks

JUNE 18, 2025

At Ibotta, our mission is to Make Every Purchase Rewarding.

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Flipboard

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.

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KDnuggets

JUNE 19, 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 Forget Streamlit: Create an Interactive Data Science Dashboard in Excel in Minutes In this tutorial, we will show how to create an interactive data science dashboard in Excel in minutes without Streamlit.

Data Science 227

Data Science Natural Language Processing Machine Learning Machine Learning 227

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).

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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!

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.

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Machine Learning Research at Apple

JUNE 20, 2025

Normalizing Flows (NFs) are likelihood-based models for continuous inputs. They have demonstrated promising results on both density estimation and generative modeling tasks, but have received relatively little attention in recent years. In this work, we demonstrate that NFs are more powerful than previously believed. We present TarFlow: a simple and scalable architecture that enables highly performant NF models.

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Flipboard

JUNE 17, 2025

A new study used machine learning to pinpoint the lifestyle and health factors most strongly associated with cognitive performance across the lifespan.

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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.

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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

learn data science

MAY 6, 2025

Weve released Exploratory v12.3 last week, and its packed with powerful new improvements to help you work even faster with AI Prompt for data wrangling. Heres whatsnew: Preview Pane for AIPrompt Now you can see how your data will look before running the AI-generated Rscript. The new Preview pane shows the result instantly, so you can explore and validate the transformation before applyingit.

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