We’re sharing how Meta is applying machine learning (ML) and diversity algorithms to improve notification quality and user experience. We’ve introduced a diversity-aware notification ranking framework to reduce uniformity and deliver a more varied and engaging mix of notifications. This new framework reduces the volume of notifications and drives higher engagement rates through more diverse [...] Read More... The post A New Ranking Framework for Better Notification Quality on Instagram ...| Engineering at Meta
The Kotlin incremental compiler has been a true gem for developers chasing faster compilation since its introduction in build tools. Now, we’re excited to bring its benefits to Buck2 – Meta’s buil…| Engineering at Meta
In this post, we explore the ways we’re evolving Meta’s data warehouse to facilitate productivity and security to serve both human users and AI agents. We detail how we’re developing agents that help users making data access requests to get to the data they need, and that help data owners process requests and maintain security. [...] Read More... The post Creating AI agent solutions for warehouse data access and security appeared first on Engineering at Meta.| Engineering at Meta
We’re exploring Meta’s Federation Platform, a scalable set of tools for managing compliance-related tasks, along with Privacy Waves, our method for batching these tasks and ensuring accountability. Together, the Federation Platform and Privacy Waves create a structured, effective, and sustainable approach to operationalizing privacy work, enabling Meta to safeguard user data for the billions of [...] Read More... The post Federation Platform and Privacy Waves: How Meta distributes compl...| Engineering at Meta
The state of the research Diff Risk Score (DRS) is an AI-powered technology built at Meta that predicts the likelihood of a code change causing a production incident, also known as a SEV. Built on a fine-tuned Llama LLM, DRS evaluates code changes and metadata to produce a risk score and highlight potentially risky code [...] Read More... The post Diff Risk Score: AI-driven risk-aware software development appeared first on Engineering at Meta.| Engineering at Meta
What if you could control any device using only subtle hand movements? New research from Meta’s Reality Labs is pointing even more firmly toward wrist-worn devices using surface electromyography (s…| Engineering at Meta
ExecuTorch is the PyTorch inference framework for edge devices developed by Meta with support from industry leaders like Arm, Apple, and Qualcomm. Running machine learning (ML) models on-device is increasingly important for Meta’s family of apps (FoA). These on-device models improve latency, maintain user privacy by keeping data on users’ devices, and enable offline functionality. [...] Read More... The post Accelerating on-device ML on Meta’s family of apps with ExecuTorch appeared f...| Engineering at Meta
Meta has developed Privacy Aware Infrastructure (PAI) and Policy Zones to enforce purpose limitations on data, especially in large-scale batch processing systems. Policy Zones integrates with Meta’s exabyte-scale data warehouse and processing systems, using runtime enforcement and SQL parsing to propagate and enforce privacy annotations across millions of daily data flows per day, performing trillions [...] Read More... The post Policy Zones: How Meta enforces purpose limitation at scale ...| Engineering at Meta
Hardware faults can have a significant impact on AI training and inference. Silent data corruptions (SDCs), undetected data errors caused by hardware, can be particularly harmful for AI systems that rely on accurate data for training as well as providing useful outputs. We are sharing methodologies we deploy at various scales for detecting SDC across [...] Read More... The post How Meta keeps its AI hardware reliable appeared first on Engineering at Meta.| Engineering at Meta
Meta has developed an open-source AI tool to design concrete mixes that are stronger, more sustainable, and ready to build with faster—speeding up construction while reducing environmental impact. …| Engineering at Meta
We are proud to announce that Meta has officially joined the Kotlin Foundation as a gold member, marking a significant milestone in our ongoing commitment to Kotlin and the broader Android developm…| Engineering at Meta
Five years ago, we created the Facebook AI Research (FAIR) group to advance the state of the art of AI through open research for the benefit of all — it’s an effort to understand the nature o…| Engineering at Meta
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Meta and Quansight have improved key libraries in the Python Ecosystem. There is plenty more to do and we invite the community to help with our efforts. We’ll look at two key efforts in Python’s p…| Engineering at Meta
We’re sharing details about Strobelight, Meta’s profiling orchestrator. Strobelight combines several technologies, many open source, into a single service that helps engineers at Meta improve effic…| Engineering at Meta
Meta has been on a years-long undertaking to translate our entire Android codebase from Java to Kotlin. Today, despite having one of the largest Android codebases in the world, we’re well pas…| Engineering at Meta
Andromeda is Meta’s proprietary machine learning (ML) system design for retrieval in ad recommendation focused on delivering a step-function improvement in value to our advertisers and people. Thi…| Engineering at Meta
People upload hundreds of millions of videos to Facebook every day. Making sure every video is delivered at the best quality — with the highest resolution and as little buffering as possible — mean…| Engineering at Meta
At Meta, we’re always looking for ways to enhance the productivity of our engineers and developers. But how exactly do you measure developer productivity? On this episode of the Meta Tech Podcast P…| Engineering at Meta
At Meta, React and React Native are more than just tools; they are integral to our product development and innovation. With over five thousand people at Meta building products and experiences with …| Engineering at Meta
We’re sharing how we’re enabling production and delivery of AV1 for Facebook Reels and Instagram Reels. We believe AV1 is the most viable codec for Meta for the coming years. It offers higher quali…| Engineering at Meta
Improved video compression is important for delivering digital video files more quickly and with higher quality, while using less bandwidth and storage. Everything from 4K movie streaming to smartp…| Engineering at Meta
In our constant quest to prioritize efficiency, Instagram’s engineers have developed a way to process new videos that reduces the cost to produce basic video encodings by 94 percent. With this meth…| Engineering at Meta
Earlier this year, a small team of engineers at Meta started working on an idea for a new app. It would have all the features people expect from a text-based conversations app, but with one very ke…| Engineering at Meta
Marking a major investment in Meta’s AI future, we are announcing two 24k GPU clusters. We are sharing details on the hardware, network, storage, design, performance, and software that help us extr…| Engineering at Meta
At Meta, we support real-time communication (RTC) for billions of people through our apps, including WhatsApp, Instagram, and Messenger. We are working to make RTC accessible by providing a high-q…| Engineering at Meta
Training AI models at a large scale isn’t easy. Aside from the need for large amounts of computing power and resources, there is also considerable engineering complexity behind training very large …| Engineering at Meta
To comply with a new EU law, the Digital Markets Act (DMA), which comes into force on March 7th, we’ve made major changes to WhatsApp and Messenger to enable interoperability with third-party messa…| Engineering at Meta
WhatsApp has launched a new cryptographic security feature to automatically verify a secured connection based on key transparency. The feature requires no additional actions or steps from users an…| Engineering at Meta
We are beginning to upgrade people’s personal conversations on Messenger to use end-to-end encryption (E2EE) by default. Meta is publishing two technical white papers on end-to-end encryption: Our …| Engineering at Meta
To all the people and businesses around the world who depend on us, we are sorry for the inconvenience caused by today’s outage across our platforms. We’ve been working as hard as we can to restore…| Engineering at Meta
Now that our platforms are up and running as usual after yesterday’s outage, I thought it would be worth sharing a little more detail on what happened and why — and most importantly, how we’re lear…| Engineering at Meta
Code reviews are one of the most important parts of the software development process At Meta we’ve recognized the need to make code reviews as fast as possible without sacrificing quality We’re sha…| Engineering at Meta
We’re sharing lessons learned from shifting our Android development from Java to Kotlin. Kotlin is a popular language for Android development and offers some key advantages over Java. As of today,…| Engineering at Meta
At OCP Summit 2022, we’re announcing Grand Teton, our next-generation platform for AI at scale that we’ll contribute to the OCP community. We’re also sharing new innovations designed to support dat…| Engineering at Meta
