storage technology

30 articles about storage technology in AI news

CATCHES Launches Generative AI Fashion Sizing Technology

CATCHES has launched a new generative AI technology designed to address fashion sizing challenges. The system aims to create more accurate and personalized size recommendations, potentially reducing returns and improving customer experience.

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The Trillion-Dollar AI Infrastructure Boom: How Data Center Spending Is Reshaping Technology

AI infrastructure spending is accelerating at unprecedented rates, with data center capital expenditures projected to reach $800 billion by 2026 and surpass $1 trillion annually by 2027, signaling a fundamental transformation in global technology investment.

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Elon Musk: US Grid Capacity Could Double with Battery Storage

Elon Musk highlighted that the US peak power output is ~1.1 TW, but average is 0.5 TW, suggesting batteries could double grid energy delivery by charging at night and discharging during the day.

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Mediagenix Enhances Content Personalization with AI Semantic Search for Better Discovery

Media technology company Mediagenix has integrated AI-powered semantic search into its content management platform to improve content discovery and personalization for broadcasters and media companies. This represents a practical application of embedding technology in the media sector.

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Modulate's Voice API Disrupts AI Transcription Market with 10-90x Cost Reduction

Startup Modulate has launched a voice transcription API that's 10-90x cheaper than established players like Deepgram and AssemblyAI. This dramatic price reduction could fundamentally reshape the economics of voice AI applications and make transcription technology accessible to a much broader market.

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Logira: The eBPF Auditor Bringing Transparency to AI Agent Operations

Logira, a new open-source tool, uses eBPF technology to provide OS-level runtime auditing for AI agents like Claude Code, addressing the critical need for visibility into what automated systems actually do during execution.

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XSKY's Hong Kong IPO Signals China's AI Infrastructure Boom

Beijing-based AI storage provider XSKY has filed for a Hong Kong IPO after reaching profitability with RMB 811 million revenue in 2025's first nine months. Backed by Tencent and Boyu Capital, the company's move highlights growing demand for specialized AI infrastructure as computational needs explode.

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Building a Multimodal Product Similarity Engine for Fashion Retail

The source presents a practical guide to constructing a product similarity engine for fashion retail. It focuses on using multimodal embeddings from text and images to find similar items, a core capability for recommendations and search.

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Building a Memory Layer for a Voice AI Agent: A Developer's Blueprint

A developer shares a technical case study on building a voice-first journal app, focusing on the critical memory layer. The article details using Redis Agent Memory Server for working/long-term memory and key latency optimizations like streaming APIs and parallel fetches to meet voice's strict responsiveness demands.

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Travis Kalanick's 30-Hour AI Interview on Uber's Founding Tech Culture

Travis Kalanick used AI to interview Uber's first CTO, Oscar Salazar, for over 30 hours. The session documented foundational engineering standards, hiring/firing principles, and cultural traits from Uber's startup phase.

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Azure ML Workspace with Terraform: A Technical Guide to Infrastructure-as-Code for ML Platforms

The source is a technical tutorial on Medium explaining how to deploy an Azure Machine Learning workspace—the central hub for experiments, models, and pipelines—using Terraform for infrastructure-as-code. This matters for teams seeking consistent, version-controlled, and automated cloud ML infrastructure.

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Zilan Lin on AI-Driven Motion Design and Redefining Luxury Visuals for the Gen Z Era

An interview with creative director Zilan Lin explores how AI-powered motion design tools are being used to create more dynamic, authentic, and culturally relevant visual content for luxury brands targeting Gen Z consumers.

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Nemotron ColEmbed V2: NVIDIA's New SOTA Embedding Models for Visual Document Retrieval

NVIDIA researchers have released Nemotron ColEmbed V2, a family of three models (3B, 4B, 8B parameters) that set new state-of-the-art performance on the ViDoRe benchmark for visual document retrieval. The models use a 'late interaction' mechanism and are built on top of pre-trained VLMs like Qwen3-VL and NVIDIA's own Eagle 2. This matters because it directly addresses the challenge of retrieving information from visually rich documents like PDFs and slides within RAG systems.

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Renewables Hit 49.4% of Global Electricity Capacity in 2025, Adding 692 GW as Solar Powers AI Growth

Renewable energy reached 49.4% of global electricity capacity in 2025, adding 692 GW in a single year. Solar contributed 511 GW, becoming the primary driver as energy demands from AI compute surge.

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Morgan Stanley Predicts 10x Compute Spike to Double AI Intelligence, Highlights 18 GW Energy Crisis

Morgan Stanley forecasts a massive AI leap from a 10x increase in training compute, but warns of an 18-gigawatt U.S. power shortfall by 2028. The report claims GPT-5.4 matches human experts with 83% on GDPVal.

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Eric Schmidt Estimates $5 Trillion Needed for 100 GW AI Data Center Power in U.S.

Former Google CEO Eric Schmidt estimates reaching 100 GW of AI data center power in the U.S. would cost ~$5 trillion over 5 years, consuming ~10% of U.S. electricity. This highlights the massive infrastructure investment required for continued AI scaling.

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How to Connect Gmail to Claude Code (And Why You Should Start Read-Only)

Multiple MCP servers now give Claude Code access to your inbox. Here's how to install them safely and the critical security trade-offs to consider.

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Zalando to Deploy Up to 50 AI-Powered Nomagic Robots in European Fulfillment Centers

Zalando is scaling its warehouse automation by installing up to 50 AI-powered Nomagic picking robots across European fulfillment centers. This move aims to enhance efficiency and handle complex items, reflecting a major investment in robotic fulfillment for fashion e-commerce.

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Frank AI Claims to Automate Customer Interviews at Scale, Cutting Research Time from 6 Weeks to 3 Days

Frank AI automates customer interviews via video, voice, or WhatsApp, generating insights overnight. The company claims this cuts research time from six weeks to three days and reduces costs versus traditional $500-$1,000 per interview.

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How Netflix's Recommendation Engine Works: A Technical Breakdown

An analysis of Netflix's AI-powered recommendation system that personalizes content discovery. This deep dive into collaborative filtering and ranking algorithms reveals principles applicable to luxury retail personalization.

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POP.STORE Launches ECHO-ME: An Agentic AI Commerce Platform for Creators

POP.STORE announced ECHO-ME, an agentic AI platform designed to autonomously run a creator's business operations. It monitors social channels, detects brand deals, and converts fan interactions into revenue, launching with 15,000 creators. This represents a shift from task automation to full business operation for the solo creator economy.

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SpaceX's Starlink Launches First Orbital Data Center Test with AI Compute Module

SpaceX has launched a prototype data center module to orbit aboard a Starlink mission, testing the viability of orbital computing infrastructure for AI and other workloads. This marks the first physical step toward off-planet data processing.

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Building Semantic Product Recommendation Systems with Two-Tower Embeddings

A technical guide explains how to implement a two-tower neural network architecture for product recommendations, creating separate embeddings for users and items to power similarity search and personalized ads. This approach moves beyond simple collaborative filtering to semantic understanding.

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Stanford's OpenJarvis: The Open-Source Framework Bringing Personal AI Agents to Your Device

Stanford researchers have released OpenJarvis, an open-source framework for building personal AI agents that operate entirely on-device. This local-first approach prioritizes privacy and autonomy while providing tools, memory, and learning capabilities.

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Mobile AI Revolution: Full LLMs Now Run Natively on Smartphones

A new React Native binding called llama rn enables developers to run full large language models like Llama, Qwen, and Mistral directly on mobile devices with just 4GB RAM. The framework leverages Metal and NPU acceleration for performance surpassing cloud APIs while maintaining complete offline functionality.

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OpenAI's Sora Integration: A Billion-User Gamble with Astronomical Costs

OpenAI is integrating its Sora video generation model directly into ChatGPT, potentially pushing weekly users past 1 billion. This ambitious move comes with staggering projected inference costs exceeding $225 billion by 2030, as video generation demands significantly more computational resources than text or images.

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BM25-V: A Sparse, Interpretable First-Stage Retriever for Image Search

Researchers propose BM25-V, a hybrid image retrieval system combining Sparse Auto-Encoders with classic BM25 scoring. It achieves high recall efficiently, enabling accurate two-stage pipelines with interpretable results.

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China's Solar Surge: How AI and Infrastructure Integration Are Powering a Renewable Revolution

China has achieved its 2030 target of 1.2 terawatts of installed wind and solar capacity six years early, largely by transforming everyday infrastructure like parking lots and rooftops into distributed power plants. This unprecedented deployment pace highlights a strategic fusion of industrial policy, digital management, and infrastructure repurposing.

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Crawlee: The Open-Source Web Scraping Library That Evades Modern Bot Detection

Crawlee, a 100% open-source Python library, enables developers to build web scrapers that bypass modern anti-bot systems with features like proxy rotation, headless browser support, and automatic retries.

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Open-Source Video Downloader Revolutionizes Content Accessibility Across 1000+ Platforms

A new open-source desktop application called ytDownloader enables users to download videos from over 1,000 websites without ads or browser extensions. The tool supports major platforms like YouTube, Instagram, and TikTok while operating under a GPL license for full transparency.

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