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OmniVoice, an open‑source TTS system from Xiaomi AI Lab, uses a minimalist bidirectional Transformer and LLM‑enhanced pre‑training to synthesize high‑quality speech in over 600 languages, outperforming commercial systems while offering fine‑grained control and fully public code and models.
The 2026 Bluetooth Asia Conference in Shenzhen showcased Xiaomi's Auracast™ broadcast audio, Channel Sounding ranging and HDT high‑throughput technologies across gym silent‑TV, high‑speed‑rail sharing, multilingual conference translation and smart‑home IoT demos, highlighting the shift from point‑to‑point to multi‑device Bluetooth audio broadcasting.
The article details how Xiaomi's Vision Forge AI engine creates a high‑fidelity, lively 3D pet avatar from a single photo, integrates it into the SU7 cockpit with precise matting and motion, and explains the underlying model architecture, reinforcement‑learning enhancements, and inference optimizations that make the feature both realistic and responsive.
The article details how Xiaomi‑Robotics‑0 achieves precise earphone‑to‑case insertion after only 20 hours of post‑training, outlines the sub‑millimetre precision challenges, presents a triple‑strategy (asynchronous execution, adaptive loss re‑weighting, Λ‑shape attention mask and random masking) to avoid the "lazy effect", and releases the full pipeline and code as open source for the robotics community.
Xiaomi's MiMo‑V2.5 series, including V2.5‑Pro, TTS, and ASR models, opens public testing, offering enhanced reasoning, longer context, superior agent stability, and multimodal perception while delivering token‑efficient pricing and benchmark results that rival top models such as Claude Opus 4.6 and GPT‑5.4.
The article introduces SVOR, a Xiaomi‑developed video object removal framework that tackles shadow residues, motion jitter, and mask defects with MUSE, DA‑Seg, and a two‑stage training pipeline, achieves new SOTA on multiple benchmarks, and clinches first place in the CVPR 2026 video removal contest, with all code and models released publicly.
Xiaomi’s AI team announced seven ACL 2026 papers that span low‑bit KV‑cache quantization for 8.3× faster LLM inference, OCR‑free multi‑page document VQA, a new attention‑basin analysis, non‑autoregressive spoken dialogue generation, a comprehensive mobile‑agent benchmark, a success‑rate‑aware training policy, and a progressive universal information‑extraction framework.
Xiaomi’s ultra‑electrolysis washing technology, validated by experts as internationally leading, combines high‑performance BDD coating, a dual‑BDD PEM module, and an integrated water‑path control system to deliver 99.99% sterilization, low energy consumption, anti‑scale stability and superior color protection for modern consumers.
The article details Xiaomi Robotics’ redesign of the CyberOne bionic hand—compressing its volume by 60%, boosting degrees of freedom by 64%, expanding full‑palm tactile coverage to 8200 mm², achieving over 150,000 grasp cycles, and introducing a bionic sweat‑gland cooling system to improve reliability for factory use.
Xiaomi unveiled MiMo‑V2‑Omni, a full‑modal agent base that unifies text, image, video and audio perception with tool‑calling and GUI actions, outperforming leading models such as Gemini 3 Pro and Claude Opus 4.6 on benchmarks, and offering a 256K‑context API for diverse real‑world tasks.
