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Microsoft Bing team open sources the word embedding model Harrier, which supports over 100 languages and performs excellently in the MTEB v2 benchmark. The model is trained on 2 billion examples and GPT-5 synthetic data, using a 32,000 token context window, with 2.7 billion parameters, significantly improving the accuracy and flexibility of multilingual tasks.
Anthropic hires Eric Boyd from Microsoft to manage infrastructure for AI product Claude amid surging demand, addressing service instability issues.....
Microsoft is researching high-temperature superconductivity to enable zero-resistance current transmission, revolutionizing cloud power distribution for AI's high demands. This technology eliminates energy loss and heat buildup, extends transmission distances, and may replace copper/aluminum wiring, offering efficient data center solutions.....
Microsoft is accelerating its in-house development of cutting-edge AI models, aiming to lead in text, image, and audio processing by 2027 to challenge OpenAI and Anthropic, shifting from external collaborations to strengthening core proprietary technology.....
Microsoft has launched a new speech-to-text model called MAI-Transcribe-1, which achieved an average word error rate of only 3.9% across 25 languages, becoming the most accurate transcription model in the world. The model performed excellently in the FLEURS benchmark test, especially showing outstanding results in 11 core languages such as English. This is the third product in Microsoft's MAI series, following the release of a speech synthesis and image generation model.