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July 13, 2023
Our privacy-preserving approach improves the robustness and fairness of an automatic speech recognition system by using an unsupervised clustering method.
June 22, 2021
Our latest AI advancements represent fundamental building blocks that could power entirely new future shopping experiences.
June 29, 2023
We're sharing details on how we've built AI-powered discovery features for Facebook and Instagram.
June 16, 2023
Voicebox is a state-of-the-art speech generative model based on a new method proposed by Meta AI called Flow Matching. By learning to solve a text-guided speech infilling task with a large scale of data, Voicebox outperforms single-purpose AI models across speech tasks through in-context learning.
June 13, 2023
I-JEPA learns by creating an internal model of the outside world, which compares abstract representations of images (rather than comparing the pixels themselves).
May 22, 2023
We expanded speech technology from about 100 languages to over 1,000 by building a single multilingual speech recognition model supporting over 1,100 languages.
May 18, 2023
Meta is executing on an ambitious plan to build the next generation of its infrastructure backbone – specifically for AI. This includes our first custom chip for running AI models, a new AI-optimized data center design, and phase 2 of our 16,000 GPU supercomputer for AI research.
The Meta Scalable Video Processor (MSVP) will support video on demand and live streaming, as well as generative AI and AR/VR content.
Meta’s RSC is one of the fastest AI supercomputers in the world. Today, we’re sharing how we are leveraging RSC’s power to accelerate AI research at scale and deliver impactful results in a fraction of the time.
In 2020, we initiated the Meta Training and Inference Accelerator (MTIA) family of chips to support our evolving AI workloads, starting with an inference accelerator ASIC for deep learning recommendation models (DLRMs).
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