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