<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>News &amp; Industry — The Latent Daily</title><description>Breaking AI news, model releases, big tech moves, funding and the business of AI.</description><link>https://thelatentdaily.com/</link><language>en-us</language><atom:link href="https://thelatentdaily.com/rss/news-industry.xml" rel="self" type="application/rss+xml"/><item><title>Liquid AI releases LFM2.5-24B-A2B, a reasoning model for on-device agents</title><link>https://thelatentdaily.com/news/liquid-ai-lfm25-24b-a2b-agents/</link><guid isPermaLink="true">https://thelatentdaily.com/news/liquid-ai-lfm25-24b-a2b-agents/</guid><description>Liquid AI introduced LFM2.5-24B-A2B, a 24B-parameter reasoning model with just 2B active parameters, built to run fast, private agents on local hardware.</description><pubDate>Sun, 18 Oct 2026 08:50:00 GMT</pubDate><category>Model Releases</category><category>liquid-ai</category><category>lfm2-5</category><category>local-ai</category><category>agents</category><category>small-models</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>IBM ships Granite Switch 4.1, bundling chat, decision and speech models in one endpoint</title><link>https://thelatentdaily.com/news/ibm-granite-switch-4-1-release/</link><guid isPermaLink="true">https://thelatentdaily.com/news/ibm-granite-switch-4-1-release/</guid><description>IBM released Granite Switch 4.1 in 8B and 30B sizes, combining a base model with Decision and Guardian adapters and a speech recognition model in one deployment.</description><pubDate>Sun, 18 Oct 2026 08:47:00 GMT</pubDate><category>Product Launches</category><category>ibm</category><category>granite</category><category>enterprise-ai</category><category>speech</category><category>open-weights</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Black Forest Labs releases FLUX.3 Image Klein with bounding-box layout control</title><link>https://thelatentdaily.com/news/flux-3-image-klein-open-checkpoints/</link><guid isPermaLink="true">https://thelatentdaily.com/news/flux-3-image-klein-open-checkpoints/</guid><description>FLUX.3 Image Klein, an open image model from Black Forest Labs, handles text-to-image and multi-reference editing and adds layout control via bounding boxes.</description><pubDate>Sun, 18 Oct 2026 08:35:00 GMT</pubDate><category>Model Releases</category><category>black-forest-labs</category><category>flux-3</category><category>image-generation</category><category>diffusers</category><category>open-weights</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Mistral launches Timestral, its first family of time-series forecasting models</title><link>https://thelatentdaily.com/news/mistral-timestral-forecasting-models/</link><guid isPermaLink="true">https://thelatentdaily.com/news/mistral-timestral-forecasting-models/</guid><description>Mistral released Timestral, four zero-shot forecasting models from 5M to 209M parameters that it says rank first on the GIFT-Eval, TIME and fev-bench leaderboards.</description><pubDate>Sun, 18 Oct 2026 08:30:00 GMT</pubDate><category>Model Releases</category><category>mistral-ai</category><category>timestral</category><category>forecasting</category><category>time-series</category><category>foundation-models</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Meta releases Muse Spark Open, an 816B open-weight multimodal model for coding</title><link>https://thelatentdaily.com/news/meta-muse-spark-open-weights/</link><guid isPermaLink="true">https://thelatentdaily.com/news/meta-muse-spark-open-weights/</guid><description>Meta published Muse Spark Open, a mixture-of-experts model with roughly 816B parameters, 42B active per token, multimodal input and a 1M-token context window.</description><pubDate>Sun, 18 Oct 2026 08:00:00 GMT</pubDate><category>Model Releases</category><category>meta</category><category>muse-spark-open</category><category>open-weights</category><category>multimodal</category><category>coding</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Reflection releases Beam, a 501B open-weight coding model under Apache 2.0</title><link>https://thelatentdaily.com/news/reflection-beam-open-weight-model/</link><guid isPermaLink="true">https://thelatentdaily.com/news/reflection-beam-open-weight-model/</guid><description>Reflection, a new US lab, put out Beam: a 501B mixture-of-experts model with 23B active parameters, a 1M-token context and an Apache 2.0 license.</description><pubDate>Sun, 18 Oct 2026 07:30:00 GMT</pubDate><category>Model Releases</category><category>reflection-ai</category><category>beam</category><category>open-weights</category><category>coding</category><category>agents</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Weekly Recap: Gemini 4 Argon, Mistral Large 4 and a flood of open-weight models</title><link>https://thelatentdaily.com/digests/weekly-recap-2026-w42/</link><guid isPermaLink="true">https://thelatentdaily.com/digests/weekly-recap-2026-w42/</guid><description>The week of October 12 to 18, 2026 in AI: Google ships Gemini 4 Argon, Mistral releases Large 4, NVIDIA launches RTX Spark laptops and open-weight giants arrive.</description><pubDate>Sun, 18 Oct 2026 07:00:00 GMT</pubDate><category>Weekly Recap</category><category>digest</category><category>weekly</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Daily Digest: Two giant open-weight models, Timestral forecasting and RTX Spark laptops</title><link>https://thelatentdaily.com/digests/daily-digest-2026-10-18/</link><guid isPermaLink="true">https://thelatentdaily.com/digests/daily-digest-2026-10-18/</guid><description>The AI stories that mattered on October 18, 2026: Reflection Beam and Meta Muse Spark Open, Mistral Timestral, FLUX.3, NVIDIA RTX Spark and more.</description><pubDate>Sun, 18 Oct 2026 06:30:00 GMT</pubDate><category>Daily Digest</category><category>digest</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Preview, beta, GA: how AI product launches actually work</title><link>https://thelatentdaily.com/articles/how-ai-product-launches-work/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/how-ai-product-launches-work/</guid><description>Waitlists, research previews, staged rollouts and general availability: a guide to the stages every AI product goes through and what each one means for users.</description><pubDate>Sun, 18 Oct 2026 05:59:00 GMT</pubDate><category>Product Launches</category><category>product-launches</category><category>explainer</category><category>enterprise</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>How Big Tech plays the AI game: five strategies compared</title><link>https://thelatentdaily.com/articles/big-tech-ai-strategies-compared/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/big-tech-ai-strategies-compared/</guid><description>Microsoft, Google, Meta, Amazon and Apple are all betting on AI, but in very different ways. A guide to their partnerships, models, chips and distribution.</description><pubDate>Sun, 18 Oct 2026 05:58:00 GMT</pubDate><category>Big Tech</category><category>big-tech</category><category>microsoft</category><category>google</category><category>meta</category><category>amazon</category><category>apple</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Why Google, Amazon, Microsoft and Meta design their own AI chips</title><link>https://thelatentdaily.com/articles/why-big-tech-builds-its-own-ai-chips/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/why-big-tech-builds-its-own-ai-chips/</guid><description>TPU, Trainium, Maia and MTIA: the biggest AI buyers are designing custom silicon. Here is why, what these chips do, and why NVIDIA still dominates.</description><pubDate>Sun, 18 Oct 2026 05:57:00 GMT</pubDate><category>Big Tech</category><category>big-tech</category><category>chips</category><category>nvidia</category><category>google</category><category>amazon</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>From seed to mega-round: how AI startup funding works</title><link>https://thelatentdaily.com/articles/how-ai-startup-funding-works/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/how-ai-startup-funding-works/</guid><description>Why AI startups raise unusually large rounds, what seed, Series A and growth rounds mean, and how compute costs change the economics of venture funding.</description><pubDate>Sun, 18 Oct 2026 05:56:00 GMT</pubDate><category>Startups &amp; Funding</category><category>startups-funding</category><category>explainer</category><category>venture-capital</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Compute is the new capital: why AI startups raise GPUs, not just cash</title><link>https://thelatentdaily.com/articles/compute-is-the-new-capital-ai-startups/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/compute-is-the-new-capital-ai-startups/</guid><description>For AI startups, access to GPUs can matter more than money. How cloud deals, credits and chip reservations shape who can build frontier models.</description><pubDate>Sun, 18 Oct 2026 05:55:00 GMT</pubDate><category>Startups &amp; Funding</category><category>startups-funding</category><category>compute</category><category>gpus</category><category>cloud</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>A practical framework for rolling out generative AI in a company</title><link>https://thelatentdaily.com/articles/framework-for-enterprise-ai-rollout/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/framework-for-enterprise-ai-rollout/</guid><description>Governance, use-case selection, pilots, measurement and scale: a step-by-step framework for introducing generative AI at work without losing control.</description><pubDate>Sun, 18 Oct 2026 05:54:00 GMT</pubDate><category>Business &amp; Enterprise</category><category>enterprise</category><category>governance</category><category>risk-management</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Build, buy or fine-tune? How companies choose their AI approach</title><link>https://thelatentdaily.com/articles/build-buy-or-fine-tune-enterprise-ai/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/build-buy-or-fine-tune-enterprise-ai/</guid><description>Off-the-shelf assistants, API integrations, retrieval-augmented generation, fine-tuning or your own model: the trade-offs in cost, control and time to value.</description><pubDate>Sun, 18 Oct 2026 05:53:00 GMT</pubDate><category>Business &amp; Enterprise</category><category>enterprise</category><category>rag</category><category>fine-tuning</category><category>strategy</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Why AI is driving record spending on data centers and power</title><link>https://thelatentdaily.com/articles/ai-data-center-capex-explained/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/ai-data-center-capex-explained/</guid><description>Chips, buildings, cooling and electricity: what AI infrastructure spending pays for, why it keeps growing, and what the energy demand projections say.</description><pubDate>Sun, 18 Oct 2026 05:52:00 GMT</pubDate><category>Markets &amp; Economy</category><category>markets</category><category>data-centers</category><category>energy</category><category>capex</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Will AI boost productivity? What the economic research says</title><link>https://thelatentdaily.com/articles/ai-and-productivity-what-economists-say/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/ai-and-productivity-what-economists-say/</guid><description>Field experiments show large gains for some workers; macro estimates are far more cautious. A plain-English guide to the evidence on AI and productivity.</description><pubDate>Sun, 18 Oct 2026 05:51:00 GMT</pubDate><category>Markets &amp; Economy</category><category>economy</category><category>productivity</category><category>research</category><category>future-of-work</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Cloud, chips and distribution: the anatomy of an AI partnership</title><link>https://thelatentdaily.com/articles/anatomy-of-ai-partnerships/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/anatomy-of-ai-partnerships/</guid><description>Why AI labs sign deals with cloud providers, chipmakers and device makers, what each side gets, and the patterns behind the biggest partnerships in AI.</description><pubDate>Sun, 18 Oct 2026 05:50:00 GMT</pubDate><category>Partnerships &amp; Deals</category><category>partnerships</category><category>big-tech</category><category>cloud</category><category>distribution</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Why AI companies are signing content deals with publishers</title><link>https://thelatentdaily.com/articles/ai-content-licensing-deals-explained/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/ai-content-licensing-deals-explained/</guid><description>News archives, forums and media libraries are being licensed to AI developers. What these deals include, why they happen and how they relate to copyright fights.</description><pubDate>Sun, 18 Oct 2026 05:49:00 GMT</pubDate><category>Partnerships &amp; Deals</category><category>partnerships</category><category>copyright</category><category>publishers</category><category>training-data</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>The annual reports that explain the state of AI</title><link>https://thelatentdaily.com/articles/essential-annual-ai-reports/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/essential-annual-ai-reports/</guid><description>Where to find reliable data on AI progress, investment, energy and policy: a guide to the most useful annual reports and what each one is best for.</description><pubDate>Sun, 18 Oct 2026 05:38:00 GMT</pubDate><category>Books &amp; Reports</category><category>reports</category><category>data</category><category>research</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>LLaVA explained: how to give a language model eyes cheaply</title><link>https://thelatentdaily.com/research/llava-visual-instruction-tuning-explained/</link><guid isPermaLink="true">https://thelatentdaily.com/research/llava-visual-instruction-tuning-explained/</guid><description>The 2023 LLaVA paper connected a vision encoder to an open language model and trained it on AI-generated visual instructions, creating an open multimodal assistant.</description><pubDate>Sun, 18 Oct 2026 05:15:00 GMT</pubDate><category>Multimodal AI</category><category>research</category><category>llava</category><category>multimodal</category><category>open-source</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>The Pile explained: the open dataset that helped democratize language models</title><link>https://thelatentdaily.com/research/the-pile-dataset-explained/</link><guid isPermaLink="true">https://thelatentdaily.com/research/the-pile-dataset-explained/</guid><description>EleutherAI&apos;s 825 GB Pile combined 22 diverse text sources into an open training set. What it contained, why diversity mattered and the copyright questions it raised.</description><pubDate>Sun, 18 Oct 2026 05:09:00 GMT</pubDate><category>Datasets</category><category>research</category><category>datasets</category><category>training-data</category><category>eleutherai</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Open-source alternatives to popular AI tools</title><link>https://thelatentdaily.com/articles/open-source-alternatives-to-popular-ai-tools/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/open-source-alternatives-to-popular-ai-tools/</guid><description>Free and open-source options for chat, image generation, transcription, automation and coding assistance — what they are, what you need to run them, and the trade-offs.</description><pubDate>Sun, 18 Oct 2026 04:59:00 GMT</pubDate><category>Alternatives</category><category>alternatives</category><category>open-source</category><category>local-ai</category><category>self-hosted</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Switching AI tools? How to evaluate an alternative before you move</title><link>https://thelatentdaily.com/articles/how-to-evaluate-an-ai-tool-alternative-before-switching/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/how-to-evaluate-an-ai-tool-alternative-before-switching/</guid><description>A step-by-step plan to compare a new AI tool with the one you use today: define success, run a side-by-side trial, check data migration, costs and exit options.</description><pubDate>Sun, 18 Oct 2026 04:58:00 GMT</pubDate><category>Alternatives</category><category>alternatives</category><category>buying-guide</category><category>enterprise</category><category>evaluation</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>How to run a local LLM with Ollama: installation to first chat</title><link>https://thelatentdaily.com/guides/run-local-llm-with-ollama-guide/</link><guid isPermaLink="true">https://thelatentdaily.com/guides/run-local-llm-with-ollama-guide/</guid><description>Install Ollama, download an open model, chat in the terminal or a web interface, pick a model that fits your memory and use the local API from your own code.</description><pubDate>Sun, 18 Oct 2026 04:47:00 GMT</pubDate><category>Local &amp; On-device AI</category><category>local-ai</category><category>ollama</category><category>open-weights</category><category>privacy</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>10 open-source AI projects every developer should know</title><link>https://thelatentdaily.com/articles/open-source-ai-projects-every-developer-should-know/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/open-source-ai-projects-every-developer-should-know/</guid><description>From Hugging Face Transformers to llama.cpp, vLLM, Ollama, LangChain and ComfyUI: the open-source projects that form the backbone of today&apos;s AI development.</description><pubDate>Sun, 18 Oct 2026 04:41:00 GMT</pubDate><category>Open-source Projects of the Week</category><category>open-source</category><category>developers</category><category>tools</category><category>github</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Why NVIDIA dominates AI: chips, CUDA and the software moat</title><link>https://thelatentdaily.com/articles/why-nvidia-dominates-ai-cuda-moat/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/why-nvidia-dominates-ai-cuda-moat/</guid><description>NVIDIA&apos;s lead in AI rests on more than fast GPUs: the CUDA software ecosystem, networking, full systems and developer habits. How the moat formed and its limits.</description><pubDate>Sun, 18 Oct 2026 04:38:00 GMT</pubDate><category>Chips &amp; GPUs</category><category>nvidia</category><category>cuda</category><category>chips</category><category>markets</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>How to audit an AI system for fairness: a practical checklist</title><link>https://thelatentdaily.com/articles/how-to-audit-an-ai-system-for-fairness/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/how-to-audit-an-ai-system-for-fairness/</guid><description>A step-by-step approach to assessing whether an AI system treats people fairly: scoping, data review, disaggregated testing, documentation and ongoing monitoring.</description><pubDate>Sun, 18 Oct 2026 04:25:00 GMT</pubDate><category>Ethics &amp; Bias</category><category>fairness</category><category>audit</category><category>governance</category><category>compliance</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>AI and copyright: the legal battles over training data, explained</title><link>https://thelatentdaily.com/articles/ai-copyright-training-data-lawsuits-explained/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/ai-copyright-training-data-lawsuits-explained/</guid><description>Can AI companies train on copyrighted books, news and images? The key lawsuits, the fair use and text-and-data-mining debates, and how licensing deals fit in.</description><pubDate>Sun, 18 Oct 2026 04:23:00 GMT</pubDate><category>Copyright &amp; Law</category><category>copyright</category><category>training-data</category><category>lawsuits</category><category>fair-use</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Which jobs are most exposed to generative AI? What the research says</title><link>https://thelatentdaily.com/articles/which-jobs-are-most-exposed-to-ai/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/which-jobs-are-most-exposed-to-ai/</guid><description>Clerical work, writing, coding and customer service rank high for AI exposure — but exposure is not replacement. What the ILO and economists find about jobs and AI.</description><pubDate>Sun, 18 Oct 2026 04:21:00 GMT</pubDate><category>Jobs &amp; Future of Work</category><category>future-of-work</category><category>jobs</category><category>research</category><category>economy</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Editorial: Open and closed AI both matter — the debate needs nuance</title><link>https://thelatentdaily.com/articles/editorial-open-and-closed-ai-both-matter/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/editorial-open-and-closed-ai-both-matter/</guid><description>Open-weight models bring transparency, competition and access; closed models offer control and safety layers. Why framing it as a binary fight serves no one.</description><pubDate>Sun, 18 Oct 2026 04:08:00 GMT</pubDate><category>Opinion &amp; Editorials</category><category>opinion</category><category>editorial</category><category>open-source</category><category>policy</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>How AI is used in banking and finance</title><link>https://thelatentdaily.com/articles/how-ai-is-used-in-banking-and-finance/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/how-ai-is-used-in-banking-and-finance/</guid><description>Fraud detection, credit decisions, customer service, trading, compliance and wealth management: where banks and fintechs use AI, and the rules that constrain it.</description><pubDate>Sun, 18 Oct 2026 04:04:00 GMT</pubDate><category>Finance &amp; Fintech</category><category>finance</category><category>banking</category><category>fraud-detection</category><category>fintech</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Generative AI for insurance teams: practical use cases and guardrails</title><link>https://thelatentdaily.com/articles/generative-ai-in-insurance-claims-practical-guide/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/generative-ai-in-insurance-claims-practical-guide/</guid><description>Where generative AI helps insurance teams today — claims summaries, policy Q&amp;A, correspondence, underwriting research — and the guardrails needed for regulated work.</description><pubDate>Sun, 18 Oct 2026 04:01:00 GMT</pubDate><category>Insurance</category><category>insurance</category><category>generative-ai</category><category>enterprise</category><category>governance</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>AI contract review: a practical guide for legal teams</title><link>https://thelatentdaily.com/articles/ai-contract-review-guide-for-legal-teams/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/ai-contract-review-guide-for-legal-teams/</guid><description>How to review contracts faster and safely with AI: build a clause playbook, choose tools, test accuracy, protect confidentiality and keep lawyers in control.</description><pubDate>Sun, 18 Oct 2026 03:59:00 GMT</pubDate><category>Legal</category><category>legal</category><category>contracts</category><category>enterprise</category><category>how-to</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>How AI is used in architecture and construction</title><link>https://thelatentdaily.com/articles/how-ai-is-used-in-architecture-and-construction/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/how-ai-is-used-in-architecture-and-construction/</guid><description>Generative design, building information modeling, site monitoring, energy optimization and safety: where AI helps architects and builders design and build better.</description><pubDate>Sun, 18 Oct 2026 03:44:00 GMT</pubDate><category>Architecture &amp; Real Estate</category><category>architecture</category><category>construction</category><category>generative-design</category><category>bim</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>AI in real estate: valuations, listings and the risks for buyers</title><link>https://thelatentdaily.com/articles/ai-in-real-estate-valuations-listings-and-risks/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/ai-in-real-estate-valuations-listings-and-risks/</guid><description>Automated valuations, AI listing descriptions, virtual staging, property search and tenant screening: how AI is used in real estate and the fair housing concerns.</description><pubDate>Sun, 18 Oct 2026 03:43:00 GMT</pubDate><category>Architecture &amp; Real Estate</category><category>real-estate</category><category>valuations</category><category>fair-housing</category><category>proptech</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>How AI is used in manufacturing: quality, maintenance and smart factories</title><link>https://thelatentdaily.com/articles/how-ai-is-used-in-manufacturing/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/how-ai-is-used-in-manufacturing/</guid><description>Visual inspection, predictive maintenance, digital twins, process optimization, robotics and supply chains: the main AI applications in manufacturing, and the barriers.</description><pubDate>Sun, 18 Oct 2026 03:42:00 GMT</pubDate><category>Manufacturing &amp; Industry 4.0</category><category>manufacturing</category><category>industry-4-0</category><category>quality-control</category><category>robotics</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>How AI is used in logistics and supply chains</title><link>https://thelatentdaily.com/articles/how-ai-is-used-in-logistics-and-supply-chains/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/how-ai-is-used-in-logistics-and-supply-chains/</guid><description>Route optimization, demand forecasting, warehouse robotics, freight matching and risk monitoring: how AI moves goods more efficiently and what it means for workers.</description><pubDate>Sun, 18 Oct 2026 03:36:00 GMT</pubDate><category>Transportation &amp; Logistics</category><category>logistics</category><category>supply-chain</category><category>route-optimization</category><category>robotics</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Buying AI for the public sector: a procurement guide</title><link>https://thelatentdaily.com/articles/ai-procurement-guide-for-public-sector/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/ai-procurement-guide-for-public-sector/</guid><description>How public bodies can buy AI responsibly: defining the problem, assessing risks, contract clauses on data and audits, transparency, testing and ongoing monitoring.</description><pubDate>Sun, 18 Oct 2026 03:33:00 GMT</pubDate><category>Government &amp; 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