Meta AI announces first AI-powered speech translation system for an unwritten language
Meta AI pioneers speech-to-speech translation for languages that are spoken but not typically written, for real life and the metaverse.Read More
New Amex ML model helps reduce account login fraud
Amex recently developed an end-to-end ML modeling solution which can predict if an account login is from a genuine customer.Read More
7 Best Midweek Deals on Cameras, Lenses, and Bags (2022)
Some of our favorite camera gear is on sale, just in time to capture the dazzling colors of autumn.
Iran’s Internet Blackouts Are Part of a Global Menace
Repressive regimes are teaching each other how to control protesters’ web access with increasingly surgical precision.
War Is an Ecological Disaster—but Ukraine Can Build Back Greener
Russia’s invasion is reversing years of environmental progress. But the world can help Ukraine reconstruct its damaged landscape and energy systems.
Sometimes It’s OK to Cheat in Video Games
If you stumble on one you just can’t beat, there is no other choice but to watch others do it online.
The Best Digital Resources for When Your Pet Runs Away
From microchips to trackers, these tools can save you some heartache and help bring your fur babies back home.
AI material that learns behaviors and adapts to changing conditions
Just like a pianist who learns to play their instrument without looking at the keys or a basketball player who puts in countless hours to throw a seemingly effortless jump shot, UCLA mechanical engineers have designed a new class of material that can learn behaviors over time and develop a “muscle memory” of its own, …
Read more “AI material that learns behaviors and adapts to changing conditions”
The Calibration Generalization Gap
This paper was accepted at the Workshop on Distribution-Free Uncertainty Quantification at ICML 2022. Calibration is a fundamental property of a good predictive model: it requires that the model predicts correctly in proportion to its confidence. Modern neural networks, however, provide no strong guarantees on their calibration— and can be either poorly calibrated or well-calibrated …
Orchestrating Data/ML Workflows at Scale With Netflix Maestro
by Jun He, Akash Dwivedi, Natallia Dzenisenka, Snehal Chennuru, Praneeth Yenugutala, Pawan Dixit At Netflix, Data and Machine Learning (ML) pipelines are widely used and have become central for the business, representing diverse use cases that go beyond recommendations, predictions and data transformations. A large number of batch workflows run daily to serve various business needs. …
Read more “Orchestrating Data/ML Workflows at Scale With Netflix Maestro”