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30 articles about search technology in AI news

Coresight Research Report: Technology and Resilience as Path to Stronger Retail Margins

Coresight Research has published a report titled 'Supply Chain Insights for Food, Drug and Mass Retail: Technology, Resilience and the Path to Stronger Margins.' The research focuses on how strategic tech adoption can fortify operations and profitability in key retail segments.

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Product Quantization: The Hidden Engine Behind Scalable Vector Search

The article explains Product Quantization (PQ), a method for compressing high-dimensional vectors to enable fast and memory-efficient similarity search. This is a foundational technology for scalable AI applications like semantic search and recommendation engines.

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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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The Self-Improving AI Era Begins: GPT-5.4 and Autonomous Research Breakthroughs

OpenAI's GPT-5.4 release and Andrej Karpathy's autonomous AI research experiment signal a paradigm shift where AI systems can now improve their own underlying technology. This marks the beginning of closed-loop AI self-improvement.

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AI Safety Test Reveals Critical Gaps in LLM Responses to Technology-Facilitated Abuse

A groundbreaking study evaluates how large language models respond to technology-facilitated abuse scenarios. Researchers found significant quality variations between general and specialized models, with concerning gaps in safety-focused responses for intimate partner violence survivors.

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Large Memory Models: New Architecture Beyond RAG and Vector Search

Researchers with 160+ Nature and ICLR publications have built Large Memory Models (LMMs), a new architecture designed to emulate human memory processes, offering an alternative to RAG and vector search paradigms.

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ECLASS-Augmented Semantic Product Search

Researchers systematically evaluated LLM-assisted dense retrieval for semantic product search on industrial electronic components. Augmenting embeddings with ECLASS hierarchical metadata created a crucial semantic bridge, achieving 94.3% Hit_Rate@5 versus 31.4% for BM25.

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Anthropic Launches STEM Fellows Program to Pair Experts with AI Research

Anthropic announced the Anthropic STEM Fellows Program, a new initiative to bring science and engineering experts into its research teams for collaborative, months-long projects aimed at accelerating progress with AI.

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Research Paper Proposes Security Framework for Autonomous AI Agents in Commerce

A Systematization of Knowledge (SoK) paper analyzes the emerging threat landscape for autonomous LLM agents conducting commerce. It identifies 12 attack vectors across five dimensions and proposes a layered defense architecture. This is a foundational security analysis for a nascent but high-stakes technology.

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Researchers Achieve Ultra-Long-Horizon Agentic Science with Cohesive AI Agents

A research team has developed AI agents capable of executing and maintaining coherent, long-horizon scientific research workflows. This addresses a core challenge in creating autonomous systems for complex discovery.

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Google DeepMind Researcher: LLMs Can Never Achieve Consciousness

A Google DeepMind researcher has publicly argued that large language models, by their algorithmic nature, can never become conscious, regardless of scale or time. This stance challenges a core speculative narrative in AI discourse.

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New Research Proposes Lightweight Method to Fix Stale Semantic IDs in

Researchers propose a method to update 'stale' Semantic IDs in generative retrieval systems without full retraining. Their alignment technique improves key metrics and reduces compute costs by ~8-9x, addressing a core challenge in dynamic recommendation environments.

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Shopify Engineering Teases 'Autoresearch' Beyond Model Training in 2026 Preview

Shopify Engineering has previewed a 2026 perspective suggesting 'autoresearch'—automated research processes—will have applications extending beyond just training AI models. This signals a broader operational automation strategy for the e-commerce giant.

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AI Agent Research Faces Human Evaluation Bottleneck

A prominent AI researcher argues that human-based evaluation is fundamentally flawed for testing autonomous AI agents, as humans cannot perceive or replicate agent logic, creating a major research bottleneck.

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New Research: How Online Marketplaces Can Use Demand Allocation to Control Seller Inventory

Researchers propose a model where a marketplace platform, by controlling the timing and predictability of order allocation to sellers, can influence their safety-stock inventory and their choice to use platform fulfillment services. This identifies demand allocation as a key operational lever for digital marketplaces.

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Dell's Agentic AI Strategy Prioritizes Enterprise Search Over Commerce

A report suggests Dell is prioritizing agentic AI for enterprise search applications over direct commerce. This reflects a pragmatic approach to deploying autonomous AI agents where they can deliver immediate operational value before tackling complex consumer transactions.

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Google's AutoWrite AI Generates Research Papers from Scratch

Google published a paper detailing AutoWrite, an AI system that can generate complete research papers from scratch. This represents a significant step toward automating the scientific writing process.

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Anthropic's 'Project Glassing' Opus-Beater Restricted to Security Researchers

Anthropic's new model, which outperforms Claude 3 Opus, is being released under 'Project Glassing' exclusively to vetted security researchers. This controlled rollout follows recent warnings from security experts about advanced AI risks.

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AI Research Loop Paper Claims Automated Experimentation Can Accelerate AI Development

A shared paper highlights research into using AI to run a mostly automated loop of experiments, suggesting a method to speed up AI research itself. The source notes a potential problem with the approach but does not specify details.

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OpenAI Reallocates Compute and Talent Toward 'Automated Researchers' and Agent Systems

OpenAI is reallocating significant compute resources and engineering talent toward developing 'automated researchers' and agent-based systems capable of executing complex tasks end-to-end, signaling a strategic pivot away from some existing projects.

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Developer Claims AI Search Equivalent to Perplexity Can Be Built Locally on a $2,500 Mac Mini

A developer asserts that the core functionality of Perplexity's $20-200/month AI search service can be replicated using open-source LLMs, crawlers, and RAG frameworks on a single Mac Mini for a one-time $2,5k hardware cost.

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Apple's On-Device Reranking Model for Private Visual Search: A Technical Breakdown

Analysis of Apple's Enhanced Visual Search system that uses multimodal features, geo-signals, and index debiasing to identify landmarks entirely on-device. This represents a significant advancement in privacy-preserving AI for visual recognition.

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Add Semantic Search to Claude Code with pmem: A Local RAG That Cuts Token Costs 75%

Install pmem, a local RAG MCP server, to give Claude Code instant semantic search over your entire project's history, slashing token usage for file retrieval.

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Google's TurboQuant AI Research Report Sparks Sell-Off in Micron, Samsung, and SK Hynix Memory Stocks

Google's TurboQuant research blog publication triggered immediate market reaction, with shares of major memory manufacturers dropping 2-4% as investors anticipate AI-driven efficiency gains reducing future memory demand.

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ReBOL: A New AI Retrieval Method Combines Bayesian Optimization with LLMs to Improve Search

Researchers propose ReBOL, a retrieval method using Bayesian Optimization and LLM relevance scoring. It outperforms standard LLM rerankers on recall, achieving 46.5% vs. 35.0% recall@100 on one dataset, with comparable latency. This is a technical advance in information retrieval.

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Chinese Researchers Develop Bionic Robotic Hand with Neuromorphic AI Skin for Local Sensory Processing

A research team in China has built a lifelike bionic hand integrated with neuromorphic electronic skin that processes tactile data using local AI models, aiming to reduce dependency on biological tissue.

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Bain & Company Research: Why Consumers Choose AI Chatbots Over Search Engines

Bain & Company research reveals a significant consumer preference shift toward AI chatbots for product discovery and purchase decisions. This has direct implications for luxury retail's digital strategy and customer experience design.

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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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Beijing Military Intelligent Technology Demonstrates Underwater 'Fish Drone' Prototype

A brief video shows a biomimetic underwater drone resembling a fish, attributed to Beijing Military Intelligent Technology. The prototype's technical specifications and operational status are unconfirmed.

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Ethan Mollick Uses GPT-4o Pro to Research Roman Aqueduct Labor Displacement, Finds Exponential Displacement Followed by S-Curve

Wharton professor Ethan Mollick had GPT-4o Pro research historical labor displacement from Roman aqueducts, finding an exponential doubling time followed by an S-curve saturation. The experiment demonstrates AI's emerging capability to conduct historical economic analysis with human verification.

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