Let us know what topics you'd like to see discussed at a figure Research@ event
@googleai
-
Research@ Accra Showcases AI Applications Across Multiple Domains
By
–
Last week we hosted Research@ Accra in Ghana—it was an inspiring day of lightning talks & interactive demos where researchers explored important topics like weather impact, building detection, food security, maternal health, & automatic speech recognition.
-
Google Maps Improves Route Suggestions Using Inverse Reinforcement Learning
By
–
Presenting world-scale inverse reinforcement learning (IRL) in Google Maps. Learn how RHIP, a new IRL algorithm, along with advances in graph compression & parallelization led to relative improvement in the quality of suggested routes in Google Maps. → https://
goo.gle/3EBAc75 -
Google Chirp: Next-Gen Speech Recognition for Under-Resourced Languages
By
–
For the next episode of #ResearchBytes, check out Chirp, the next generation of speech-to-text models from Google Research! Chirp can perform automatic speech recognition on under-resourced and widely spoken languages. Watch to learn more ↓
-
Differential Privacy Composition Cost in Multi-Step ML
By
–
When applying #DifferentialPrivacy to multi-step #ML algorithms, there is a privacy loss that scales with each step, known as the cost of composition. Learn about a new paradigm that avoids this composition cost for significant improvements in utility. ↓
https://
goo.gle/44NMl3z -
TensorFlow TPU Framework Enables Large-Scale Turbulent Flow Simulations
By
–
Introducing a new simulation framework that leverages advances on @TensorFlow and TPU architecture to enable efficient large-scale simulations of turbulent flows (e.g., for cloud formation, wildfires, and more) at unprecedented scale. Learn more at https://
goo.gle/45WU93Q -
Google Sponsors Deep Learning Indaba 2023 Conference
By
–
We’re proud to be a Sponsor of the annual @DeepIndaba meeting, held this week at the University of Ghana in Accra, Ghana. Registered for #Indaba2023? We hope you’ll visit the Google booth to learn more about our ML research! Learn more about Indaba → https://
deeplearningindaba.com/2023/ -
Kaggle Competition: Optimizing AI Model Runtime Performance
By
–
Announcing a new @Kaggle competition for optimizing programs for AI model workloads, with winners invited to present at the #NeurIPS2023 ML for Systems workshop! Learn more and enter the competition → https://
kaggle.com/competitions/p
redict-ai-model-runtime
… #Kaggle #AI #ML #efficiency -
WeatherBench 2: Next Generation Data-Driven Weather Forecasting Benchmark
By
–
The weather forecast is improving… literally! Introducing WeatherBench 2, a benchmark for the next generation of data-driven, global weather forecast models, providing data, tools, & an evaluation platform. Learn how to use it and check out the website →https://t.co/xDUZ3pfLvX pic.twitter.com/CGBchDANM0
— Google AI (@GoogleAI) 31 août 2023The weather forecast is improving… literally! Introducing WeatherBench 2, a benchmark for the next generation of data-driven, global weather forecast models, providing data, tools, & an evaluation platform. Learn how to use it and check out the website →
https://
goo.gle/3YVUGAU -
Google Improves Live Caption Stability With New Flicker Metric
By
–
Live caption systems often update predictions as new content is received, which can cause “flickers” of text instability that impair the reading experience. Read how we improve text stability in live captions w/ a new flicker metric & stability algorithm ↓
https://
goo.gle/47VrtKn