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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.

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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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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.

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Elon Musk Reportedly Doing Something Horrid to Power His AI Data Center

Flipboard

It's no secret that Elon Musk's wealth is staggering. At the time of writing, he's worth over $325 billion. To give that number a sense of scale, that's $62 billion more than the total annual salary of every worker in Michigan combined all 4.3 million of them. So why is he powering his data centers with rinky-dink portable generators? New aerial surveillance footage obtained by the Southern Environmental Law Center has found that Musk's artificial intelligence company, xAI, is using 35 methane

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Automation, Evolved: Your New Playbook For Smarter Knowledge Work

Speaker: Frank Taliano

Document-heavy workflows slow down productivity, bury institutional knowledge, and drain resources. But with the right AI implementation, these inefficiencies become opportunities for transformation. So how do you identify where to start and how to succeed? Learn how to develop a clear, practical roadmap for leveraging AI to streamline processes, automate knowledge work, and unlock real operational gains.

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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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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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All About Open AI’s Latest GPT 4.1 Family

Analytics Vidhya

Following Metas lead, OpenAI has dropped not one, but three powerful new models. Meet the GPT4.1 series, featuring GPT4.1, GPT4.1 mini, and GPT4.1 nano. These models are a major leap forward in AIs ability to understand, generate, and interact in real-world applications. Though available only via API, these models are built for practical performance: faster […] The post All About Open AIs Latest GPT 4.1 Family appeared first on Analytics Vidhya.

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IEA warns: AI could double global data center energy use by 2030

Dataconomy

Artificial intelligence might be the next big thing in clean energy or the next big problem. The International Energy Agency (IEA) has released its first major report on how the AI boom is reshaping global electricity demand, and the numbers are staggering. The headline? By 2030, data centers, supercharged by AI workloads, are projected to consume as much electricity as Japan does today.

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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.

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Keysource and ADCC are now officially part of the Salute brand following completed acquisition

insideBIGDATA

NEW YORK and LONDON April 10, 2025 Salute, a lifecycle data center services company, will acquire Keysource Group, a European provider of data center and critical environment solutions, and Advanced Data Center Consulting Group (ADCC), a provider of AI-focused training and consulting. Salute said the acquisitions deepen their regional and technical capabilities.

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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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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 300
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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.

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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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Understanding RAG Part IX: Fine-Tuning LLMs for RAG

Machine Learning Mastery

Be sure to check out the previous articles in this series:

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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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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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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.

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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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ByteDance VAPO: The AI upgrade you’ll hear about soon

Dataconomy

ByteDance Seed researchers rolled out Value Augmented Proximal Policy Optimization (VAPO), a reinforcement learning training framework designed to sharpen large language models’ reasoning on complex, lengthy tasks, achieving new state-of-the-art results on the AIME24 benchmark. Training LLMs for intricate reasoning using value-based reinforcement learning previously faced significant hurdles.

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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!

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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.

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The Laws Of Automation, NTT Research Details ‘Physics Of AI’ Group

Adrian Bridgwater for Forbes

NTT Research, Inc. is aiming to law down the laws of AI physics, economics, motion and mathematics with its newly formed Physics of Artificial Intelligence Group.

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The Easiest Way to Create Real-Time AI Voice Agents

KDnuggets

Forget Alexa — now you can build your own real-time AI voice assistant in just minutes!

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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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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Out-of-distribution (OOD)

Dataconomy

Out-of-distribution (OOD) samples pose a significant challenge in the realm of machine learning, particularly for deep neural networks. These instances differ from the training data and can lead to unreliable predictions. Understanding how to identify and manage OOD data is essential in building robust AI systems capable of handling diverse and unforeseen inputs.

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Multilingual Invoice Parsing project with LLaMA 4, OCR, and Python

Towards AI

Last Updated on April 14, 2025 by Editorial Team Author(s): Mouez Yazidi Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Mouez Yazidi Follow Published in Towards AI 8 min read1 day ago 10 1 Listen Share More Hi, Im Mouez Yazidi, an AI & NLP Engineer. Today, I will explain how Artificial Intelligence and Large Language Models (LLMs) are revolutionizing OCR (Optical Character Recognition) tasks.

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Sysdig Founder: Cloud Developers Can Fix Runtime Security

Adrian Bridgwater for Forbes

Software system security is trying to be more automated through AI and self-service technologies that developers themselves can apply.

AI 199
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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 225
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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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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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Machine learning lifecycle

Dataconomy

The machine learning lifecycle is an intricate series of stages that guides the development and deployment of machine learning models. Through understanding each phase, teams can effectively harness data to create solutions that address specific problems. Numerous factors contribute to the success of this process, making it essential for data scientists and stakeholders to comprehend the lifecycle comprehensively.

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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 96
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SandboxAQ Using NVIDIA DGX to Build Large Quantitative Models

insideBIGDATA

SandboxAQ today announced a collaboration with NVIDIA across biopharma, chemicals, advanced materials, financial services, cybersecurity, navigation, and medical imaging. SandboxAQ, a member of theNVIDIA Inception program, is leveraging theNVIDIA DGX Cloud AI platform on Google Cloud to build.

AI 195
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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?