Edge AI in Manufacturing: Compact Models for Instant Predictive Maintenance
A practical guide to deploying compact AI models on factory floor hardware for instant predictive maintenance, resilient operations, and safer uptime decisions.
A practical guide to deploying compact AI models on factory floor hardware for instant predictive maintenance, resilient operations, and safer uptime decisions.
A practical enterprise guide to neuromorphic processing architectures, GPU energy pressure, cooling constraints, sparse AI workloads, and realistic adoption paths.
A practical enterprise analysis of Mora’s rebrand from Index and its MCP integrations with Claude and Cursor, covering workflow architecture, governance, and rollout strategy.
A board-level guide to cyber-enabled invoice and payment fraud, including business email compromise, supplier impersonation, approval controls, and payment monitoring.
A practical WAAP 101 guide covering web application and API protection, WAF, bot defense, API discovery, DDoS, business logic risk, and implementation.
A practical enterprise guide to AI hallucination liability, customer response guardrails, legal exposure, financial risk, brand protection, monitoring, and remediation.
A practical, detailed guide to generating high-quality videos with the LTX 2.3 video model, including planning, prompting, camera motion, continuity, and final delivery checks.
On 2 August 2026 a model called MAI Realtime surfaced as a hidden early-access entry in Microsoft’s MAI Playground, described in reporting as a bidirectional full-duplex system with two voices, seventeen languages, two selectable turn-taking modes and partner access already granted. Microsoft has confirmed none of it: no model card, no benchmark, no price, no availability date. This guide separates what was actually reported from what is inference, explains why full duplex is an architectural change rather than a latency improvement, and sets out where MAI Realtime would sit against MAI-Voice-2, MAI-Transcribe-1.5 and the GPT-Realtime model currently doing the speech-to-speech work inside Azure’s Voice Live API. It covers the OpenAI dependency this closes, what the existing MAI price points imply, the 200-millisecond turn-taking budget that decides whether a voice agent feels human, where voice deployments actually fail in production, the EU AI Act transparency obligations that became applicable the same day, voice as biometric data under GDPR, the TCPA position on synthetic voices, and a ninety-day plan whose value does not depend on MAI Realtime ever shipping.
Voice dictation is the one item on Meta’s leaked Meta AI web feature list that still has not shipped, while Research, Reasoning, Presentation and scheduled tasks all landed. That gap is the story: Meta has a full speech stack, a 1,600-language ASR system and dictation on Quest, yet the meta.ai prompt box still only accepts typing. Here is what Meta is actually building, why voice dictation is a different feature from voice mode, how browser dictation gets implemented, and the privacy question a microphone on a web page raises.