🚘 Uber Continues its Open-Source ML Traction
Was this email forwarded to you? Sign up here 📝 EditorialWhen we think about active contributors to open-source machine learning (ML), we immediately gravitate towards big tech platforms providers like Google, Facebook, and Microsoft. We do not immediately associate companies like Uber with open-source ML contributions. However, the transportation giant has quietly become one of the most active sources of innovation for open-source ML projects. In the last few years, Uber has open-sourced over a dozen of ML projects in diverse areas such as low-code ML (Ludwig), distributed training (Horovod), probabilistic programming (Pyro), debugging (Manifold). Just this week, Uber released a new version of Orbit, a very innovative time-series forecasting framework based on Bayesian methods. Uber’s contribution to the open-source ML space should not come as a surprise. After all, Uber has been running one of the largest ML infrastructures in the world, powered by their famous Michelangelo architecture. The importance and speed of Uber’s open-source ML contributions are undoubtedly impressive, but they aren’t an exception by any stretch. In the last few years, several tech firms like LinkedIn, Netflix, Airbnb, Lyft, and others have become highly active, open-sourcing several of the ML technologies they have incubated internally. Many can make the case that some of these open-source initiatives haven’t received the regular contributions and maintenance needed for mainstream adoption. However, it is unquestionable that those open-source releases have helped accelerate the innovation in large-scale ML architectures and pushed many ML startups to build on the foundation sets by these tech giants. 🔺🔻 TheSequence Scope is our Sunday free digest. To receive high-quality educational content about the most relevant concepts, research papers, and developments in the ML world every Tuesday and Thursday, please subscribe to TheSequence Edge 🔺🔻 🗓 Next week in TheSequence Edge: Edge#157: we explore CI/CD in ML Solutions; we discuss Amazon’s continual learning architecture that manages the ML models lifecycle; we overview CML, an open-source library for enabling CI/CD in ML pipelines. Edge#158: we finalize our MLOps series with deep dive into Aporia, an ML Observability platform. Now, let’s review the most important developments in the AI industry this week 🔎 ML ResearchImproving Reinforcement Learning with Lookahead Policy Carnegie Mellon University published a paper detailing a technique to improve reinforcement learning agents with policies that look into the future to formulate better actions →read more on Carnegie Mellon University blog Scaling Vision Transformers Google Research published a paper detailing a mixture of experts (MoE) technique to scale the training of large vision models →read more on Google Research blog Computer Vision for Amazon Product Pages Amazon Research published a paper detailing a computer vision method used to identify and correct mistakes in its product catalog pages →read more on Amazon Research blog 🤖 Cool AI Tech ReleasesUber Orbit 1.1 Uber released the new version of Orbit, an open-source Bayesian time-series forecasting library →read more on Uber Engineering blog 🛠 Real World MLAirbnb Conversational Agents Airbnb published a blog post with insights about the architecture powering its conversational AI engine →read more on Airbnb blog Data Science Experimentation at Netflix Netflix published a new blog post providing more details about the architecture and techniques used to streamline experimentation across its data science pipelines →read more on Netflix Tech blog Low Code ML at Ulta Beauty Beauty products company Ulta Beauty details its approach to low code AI to improve the personalization of the user experience →read more in this coverage from VentureBeat 🐦 Follow us on Twitter, where we share all our recommendations in bite-sized form 💸 Money in AIAIOps
AI/ML/data
AI-powered
|
Older messages
📥 Download your AI Infrastructure report from Forrester Research*
Friday, January 14, 2022
Courtesy of Run:AI
📌 Event: Join us at apply() – the ML Data Engineering Community Meetup
Thursday, January 13, 2022
It's free
📊 👩💻🥸 Edge#156: The ML Powering LinkedIn’s Recruiting Recommendation System
Thursday, January 13, 2022
Deep dive into an incredibly sophisticated series of search and recommendation algorithms
🅰️/🅱️ Edge#155: A/B Testing for ML Models
Tuesday, January 11, 2022
⏱ Last two days to subscribe to TheSequence with a unique 60% discount. Share with your colleagues! And thank you for your constant support ⏱ 💡 ML Concept of the Day: A/B Testing for ML Models
⏱ Three more days – only $20/YEAR
Monday, January 10, 2022
Hi there, We experienced an overwhelming reaction from people coming back from holidays and missing our 60% discount offer by a few hours. So we decided to give everybody three more days to subscribe
You Might Also Like
Import AI 399: 1,000 samples to make a reasoning model; DeepSeek proliferation; Apple's self-driving car simulator
Friday, February 14, 2025
What came before the golem? ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
Defining Your Paranoia Level: Navigating Change Without the Overkill
Friday, February 14, 2025
We've all been there: trying to learn something new, only to find our old habits holding us back. We discussed today how our gut feelings about solving problems can sometimes be our own worst enemy
5 ways AI can help with taxes 🪄
Friday, February 14, 2025
Remotely control an iPhone; 💸 50+ early Presidents' Day deals -- ZDNET ZDNET Tech Today - US February 10, 2025 5 ways AI can help you with your taxes (and what not to use it for) 5 ways AI can help
Recurring Automations + Secret Updates
Friday, February 14, 2025
Smarter automations, better templates, and hidden updates to explore 👀 ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
The First Provable AI-Proof Game: Introducing Butterfly Wings 4
Friday, February 14, 2025
Top Tech Content sent at Noon! Boost Your Article on HackerNoon for $159.99! Read this email in your browser How are you, @newsletterest1? undefined The Market Today #01 Instagram (Meta) 714.52 -0.32%
GCP Newsletter #437
Friday, February 14, 2025
Welcome to issue #437 February 10th, 2025 News BigQuery Cloud Marketplace Official Blog Partners BigQuery datasets now available on Google Cloud Marketplace - Google Cloud Marketplace now offers
Charted | The 1%'s Share of U.S. Wealth Over Time (1989-2024) 💰
Friday, February 14, 2025
Discover how the share of US wealth held by the top 1% has evolved from 1989 to 2024 in this infographic. View Online | Subscribe | Download Our App Download our app to see thousands of new charts from
The Great Social Media Diaspora & Tapestry is here
Friday, February 14, 2025
Apple introduces new app called 'Apple Invites', The Iconfactory launches Tapestry, beyond the traditional portfolio, and more in this week's issue of Creativerly. Creativerly The Great
Daily Coding Problem: Problem #1689 [Medium]
Friday, February 14, 2025
Daily Coding Problem Good morning! Here's your coding interview problem for today. This problem was asked by Google. Given a linked list, sort it in O(n log n) time and constant space. For example,
📧 Stop Conflating CQRS and MediatR
Friday, February 14, 2025
Stop Conflating CQRS and MediatR Read on: my website / Read time: 4 minutes The .NET Weekly is brought to you by: Step right up to the Generative AI Use Cases Repository! See how MongoDB powers your