in-house ai

Microsoft’s decision to regroup its consumer and commercial Copilot teams under a single product leader is more than an org chart tweak — it’s a strategic signal that the company wants to fix a long-standing product fragmentation problem while accelerating a parallel bet: building increasingly...

Microsoft’s MAI-Image-1 landed as a clear product‑first play: a photorealism‑focused, low‑latency text‑to‑image model built entirely in‑house and already rolling into Bing Image Creator and Copilot’s Audio Expressions, signaling Microsoft’s intent to own more of the generative-AI stack while...

Kajima’s decision to move core application development in‑house — building what the company calls Kajima ChatAI and shifting systems that use critical internal data away from traditional vendor-led projects — marks a clear pivot from procurement-driven IT toward platform‑led, data‑centric...

Microsoft has announced MAI-Image-1 — its first fully in‑house text‑to‑image model — positioning the company to generate photorealistic images at speed and to fold that capability directly into Copilot and Bing Image Creator as part of a broader push away from exclusive dependence on third‑party...

Microsoft has announced MAI-Image-1, its first fully in-house text-to-image model, and begun public testing on benchmarking platforms while preparing integrations into Copilot and Bing Image Creator—an important step in Microsoft’s move from relying primarily on third‑party models to building...

Microsoft’s long-standing reliance on OpenAI for the “brains” behind Copilot and large parts of its AI stack has shifted into a more complex posture this year, as Microsoft unveils MAI‑Voice‑1 and MAI‑1‑preview — two first‑party models designed to reclaim latency, cost and product control while...

Microsoft’s new MAI family—MAI‑1‑preview and MAI‑Voice‑1—marks a deliberate pivot from dependency to orchestration: Microsoft is building first‑party foundation models tuned for product speed, cost and audio-first experiences while continuing to route high‑capability workloads to external...

Microsoft has quietly begun preparing the hardware and operational scaffolding to stop being a pure buyer of frontier AI models and instead build — and run — its own in‑house models at scale, telling employees it will invest heavily in dedicated chip clusters while keeping the OpenAI partnership...

Microsoft’s internal AI strategy has entered a new phase: after years of leaning on OpenAI for frontier models and privileged cloud access, the company is investing to build its own large-scale compute — including a dedicated AI chip cluster and first-party foundation models — as part of a...

Microsoft's Copilot Labs has quietly expanded the Audio Expressions sandbox with a new Scripted mode, bringing a verbatim reading option to a feature set already known for expressive, multi‑character voice synthesis—and it arrives at a moment when Microsoft is moving aggressively into...

CEDIA 2025’s floor hum was equal parts audiophile lust and pragmatic urgency: manufacturers showed TVs and speakers that think with you, while a hard calendar date—Windows 10’s end of support—made clear that households must plan hardware and software moves now. Rich’s on‑air roundup from Denver...

Google’s decision to replace the long-serving Google Assistant on Nest and Google Home devices with a Gemini-powered assistant — branded Gemini for Home and launching into early access on October 1, 2025 — is one of the most consequential shifts in the smart‑home assistant market in years...

Microsoft’s AI team has shipped two first‑party foundation models — MAI‑Voice‑1 and MAI‑1‑preview — a move that signals a deliberate strategic pivot from being primarily a host and integrator of external models toward building proprietary AI infrastructure optimized for Microsoft’s product...

Microsoft’s AI unit has shipped two first‑party foundation models — MAI‑Voice‑1 and MAI‑1‑preview — marking a clear acceleration of in‑house model development even as the company continues to integrate and promote OpenAI’s frontier models such as GPT‑5 across its product stack. The launches are...

Dr. Eunho Lee’s lab at SeoulTech has published a materials‑first strategy for building artificial synapses—organic, electrolyte‑gated transistors whose engineered side chains dramatically improve ion uptake—and at almost the same moment Microsoft pushed deeper into proprietary AI with two...

Chrome is quietly becoming an AI platform — and the consequences are already rippling through privacy, competition, and enterprise planning. Background / Overview The past week has delivered three tightly coupled developments that deserve close attention: Anthropic’s pilot of Claude for Chrome...

Microsoft has quietly but decisively moved from being a heavy consumer of third‑party AI models to a company shipping its own, first‑party foundation and voice models — and it has paired those models with an explicit expansion of internal, large‑scale training and inference infrastructure that...

Microsoft’s move to ship MAI‑Voice‑1 and MAI‑1‑preview marks a clear strategic inflection: the company is no longer only a buyer and integrator of frontier models but a serious producer of first‑party models engineered to run inside Copilot and across Microsoft’s consumer surfaces. Microsoft...

In Malaysia’s property sector a quiet but consequential shift is underway: instead of rushing to bolt global AI services into every workflow, a growing number of firms are adopting a go-local AI playbook — hosting open-source models on domestic or company-controlled infrastructure, fine-tuning...

Microsoft has quietly crossed a strategic Rubicon: after years of tight integration with OpenAI, the company has begun shipping its own first-party foundation models — notably MAI-Voice-1 and MAI-1-preview — and is positioning them inside Copilot and Azure as the start of a long-term bid to...