Sat.Apr 12, 2025 - Fri.Apr 18, 2025

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News Bytes 20250414: Argonne’s AI-based Reactor Monitor, AI on the Moon, TSMC under $1B Penalty Threat, HPC-AI in Growth Mode

insideBIGDATA

A happy Tax Day (U.S.) Eve to you! Its been an eventful week in the HPC-AI industry, heres a rapid (8:39) run-down of recent news, including: Argonne's AI-based reactor digital twin, AI factory on the moon?, TSMC may face US$1B U.S. export penalty, Chinese AI order of Nvidia H20 GPUs, HPC-AI market growth.

AI 352
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Understanding Aggregate Trends for Apple Intelligence Using Differential Privacy

Machine Learning Research at Apple

At Apple, we believe privacy is a fundamental human right. And we believe in giving our users a great experience while protecting their privacy. For years, weve used techniques like differential privacy as part of our opt-in device analytics program. This lets us gain insights into how our products are used, so we can improve them, while protecting user privacy by preventing Apple from seeing individual-level data from those users.

Analytics 353
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Generative AI Data Scientist: A Booming New Job Role

Analytics Vidhya

Summary Introduction Generative AI (GenAI) has evolved from experimental research to enterprise-grade applications in record time. The rise of tools like ChatGPT, AI-powered copilots, and custom AI agents across industries, has led to the emergence of a bunch of new roles and teams in organizations. One such booming new career path is that of a […] The post Generative AI Data Scientist: A Booming New Job Role appeared first on Analytics Vidhya.

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NoProp: Training Neural Networks without Back-propagation or Forward-propagation

Hacker News

The canonical deep learning approach for learning requires computing a gradient term at each layer by back-propagating the error signal from the output towards each learnable parameter. Given the stacked structure of neural networks, where each layer builds on the representation of the layer below, this approach leads to hierarchical representations.

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Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

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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RISA Labs Raises $3.5M to Fight Treatment Delays with AI-Powered Workflow Automation in Oncology

insideBIGDATA

Palo Alto, California April 17, 2025: RISA Labs has raised a $3.5M funding round to help healthcare organizations eliminate one of the most persistent barriers to timely cancer care: prior authorization delays. RISA Labs has already proven that faster care is possible by dramatically reducing manual workflows and administrative burden.

AI 195
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Sam Altman's new social network threatens Elon Musk's empire

Flipboard

Sam Altman is coming for Elon Musk. The OpenAI CEO’s latest venture is a new social media platform to rival X, which Musk acquired in October 2022 for $44 billion. Both titans anticipate that social media platforms can give them an edge in training and marketing their AI products ChatGPT and Grok respectively. One [.]Read More.

AI 147

More Trending

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AI Con USA 2025: An Intelligence-Driven Future

KDnuggets

AI Con USA, the premier event for artificial intelligence and machine learning professionals, is set to take place from June 813, 2025.

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SoundHound AI Named a Market Leader for AIOps by ISG Research

insideBIGDATA

Santa Clara, CA, April 15, 2025 SoundHound AI, Inc. (Nasdaq: SOUN), a voice artificial intelligence company, announced that its generative AI-enabled AIOps platform, Autonomics, has been named a market leader in the 2025 ISG Buyers Guide for AIOps.

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AI “interns” are too big to ignore  

Flipboard

The Fast Company Impact Council is an invitation-only membership community of leaders, experts, executives, and entrepreneurs who share their insights with our audience. Members pay annual dues for access to peer learning, thought leadership opportunities, events and more. It’s been five years since the intense early days of the COVID-19 pandemic and the first round of lockdowns that mandated work-from-home for companies around the world.

AI 116
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Training your AI, not just your team: A marketer’s guide to smarter campaigns

Dataconomy

So, you’re a marketer trying to stay ahead in an industry where AI is rewriting the rules every day. You’ve trained your team, perfected your processes, and yetsomething’s still missing. Your campaigns feel generic despite using “AI-powered” tools You’re spending more time fixing AI outputs than actually strategizing That promised efficiency boost?

AI 113
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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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Control Your Spotify Playlist with an MCP Server

KDnuggets

Use AI to control Spotify playback, search for songs, and manage your queue for a personalized experience.

AI 309
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Cross Entropy Loss in Language Model Evaluation

Analytics Vidhya

Cross entropy loss stands as one of the cornerstone metrics in evaluating language models, serving as both a training objective and an evaluation metric. In this comprehensive guide, we’ll explore what cross entropy loss is, how it works specifically in the context of large language models (LLMs), and why it matters so much for understanding […] The post Cross Entropy Loss in Language Model Evaluation appeared first on Analytics Vidhya.

Analytics 125
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From Data Points to Decision Boundaries: A Hands-On Guide to Predictive Maintenance using PCA

Towards AI

Author(s): Luis Ramirez Originally published on Towards AI. For industrial equipment the default approach is preventive maintenance, which involves servicing equipment on a fixed schedule, such as monthly or semi-annually. While better than reactive maintenance (fixing equipment after failure), this one-size-fits-all strategy has significant drawbacks.

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Applications with Context Vectors

Machine Learning Mastery

This post is divided into two parts; they are: Contextual Keyword Extraction Contextual Text Summarization Contextual keyword extraction is a technique for identifying the most important words in a document based on their contextual relevance.

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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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From Idea to UI in Seconds: Meet OpenUI!

KDnuggets

From idea to prototype in seconds — OpenUI lets you build, edit, and export UIs using just natural language. No design skills required!

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Building an AI Agent with Llama 4 and AutoGen

Analytics Vidhya

Metas Llama 4 family of models is currently ruling the ever-advancing world of AI. These models are revolutionizing how we build intelligent systems with their native multimodal capabilities. When Llama 4 combines with AutoGen, it unlocks the full potential of building dynamic, responsive, and robust AI Agents. By leveraging the integration between Llama 4 and […] The post Building an AI Agent with Llama 4 and AutoGen appeared first on Analytics Vidhya.

AI 125
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Fennel Joins Databricks to Democratize Access to Machine Learning

databricks

Today, we are thrilled to welcome the Fennel team to Databricks.

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Regression

Dataconomy

Regression is a powerful statistical method that plays a critical role in machine learning, particularly when it comes to making predictions and understanding the relationships between variables. By analyzing past data, regression helps us draw insights and foresight into future trends, making it invaluable across numerous fields such as economics, medicine, and meteorology.

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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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3 APIs to Access Gemini 2.5 Pro

KDnuggets

The developer-friendly APIs provide free and easy access to Gemini 2.5 Pro for advanced multimodal AI tasks and content generation.

AI 268
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AI Data Platform Hammerspace Raises $100M

insideBIGDATA

AI data platform company Hammerspace announced that several venture investors have invested $100 million in growth capital in the company. Altimeter Capital, which inveted in Meta, MongoDB, NVIDIA, Snowflake and Uber, led the Series B round.

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Gartner’s 12 Emerging Tech Disruptors & Why ‘Technology Leaders Must Take Action Now’

Flipboard

A Gartner distinguished VP analyst offers TechRepublic readers advice about which early-stage technologies that will define the future of business systems to prioritize.

Big Data 115
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Wistia first to power video marketing with AI translation

Dataconomy

Wistia has become the first video marketing platform to offer a complete AI-powered localization solution, unveiling new features that translate and dub videos in over 30 languages with lip-sync capabilities. The tools, powered by HeyGens GenAI video technology, are now available to all Wistia customers on paid plans, marking a significant step forward in making global video communication seamless and accessible.

AI 103
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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?

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How to Write Efficient Dockerfiles for Your Python Applications

KDnuggets

Learn how to build faster, leaner, and more secure Python containers with these efficient Dockerfile strategies.

Python 257
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Detecting & Handling Data Drift in Production

Machine Learning Mastery

Machine learning models are trained on historical data and deployed in real-world environments.

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Traditional RAG vs Graph RAG

Towards AI

Author(s): Kalash Vasaniya Originally published on Towards AI. Why Graph RAG Outperforms Classical Retrieval: A Smarter Path to Context-Rich AnswersSource: From [link] If youre not a member but want to read this article, see this friend link here. Graph RAG is next-level for sure. top-k retrieval in RAG rarely works. Legacy RAG methods depend on selecting the k most relevant passages or chunks of text.

AI 103
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Explainable AI

Dataconomy

Explainable AI is transforming how we view artificial intelligence systems, specifically regarding their decision-making processes. As AI continues to permeate various sectors, the need for understanding how these systems arrive at specific outcomes grows ever more critical. explainable AI addresses this necessity, offering a framework that enhances fairness, accountability, and transparency in AI applications.

AI 91
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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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7 “Useless” Python Standard Library Functions You Should Know

KDnuggets

These oddball Python functions might seem pointless. until you realize how surprisingly useful they really are.

Python 250
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5 Lessons Learned Building RAG Systems

Machine Learning Mastery

Retrieval augmented generation (RAG) is one of 2025's hot topics in the AI landscape.

AI 223
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M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models

Hacker News

Effective reasoning is crucial to solving complex mathematical problems. Recent large language models (LLMs) have boosted performance by scaling test-time computation through long chain-of-thought reasoning. However, transformer-based models are inherently limited in extending context length due to their quadratic computational complexity and linear memory requirements.

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Why emergency readiness belongs in every data-driven workplace

Dataconomy

In an industry powered by automation, algorithms, and predictive models, the focus often lands on building smarter systems and faster solutions. But as we race to integrate AI into every aspect of life, theres a human component that tech cant replace: real-world readiness. While tech teams, analysts, and engineers often optimize environments for performance, uptime, and security, few consider what happens when the issue isnt software failurebut a human emergency.

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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!