WhatsApp is introducing Scam Alert, an optional on-device ML feature that detects scam messages without sending any message content to servers, using a transparent model that can be independently…
Meta introduces a multi-stage sequence model and dense tokenization with target-aware attention to scale sequence learning for ads ranking, achieving lifts in conversions and clicks.
Meta has improved the training efficiency of its Generative Ads Recommendation Model (GEM) by doubling end-to-end training efficiency to 20–25% Model FLOPs Utilization (MFU) while scaling training…
Hierarchical Interest Representation is a research area for Meta Ads. We’re exploring an upstream representation layer over the universe of Ads entities – users, advertisers, products, services –…
This year marks Meta’s 10th consecutive year as a sponsor of the Python Software Foundation (PSF) , the charitable organization dedicated to advancing, supporting, and protecting the open-source…
Privacy controls — systems that enforce retention, access, allowed-purpose, downstream-sharing, or anonymization policies — require a reliable understanding of data to function.
Smart glasses like the Ray-Ban Meta and Oakley Meta Vanguards need to pack enough energy to power features like cameras, speakers, AI workloads, and even a display.
Adopting AV1 for real-time communication at Meta has been a multi-year effort spanning codec selection, device eligibility, rate control, and error resilience.
We’re introducing Instantaneous PowerLoss Storm, a new testing paradigm within Meta’s infrastructure for handling and mitigating instant or zero-notice power loss in our data centers.
Meta· 6 days ago