The Synthetic Data Trap: How Your AI Strategy Is Training You To Be Average
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @demishassabis @Ronald_vanLoon @TamaraMcCleary @geoffreyhinton @goodfellow_ian @jeffdean @erikbryn http://
ow.ly/4Ym930sQ3r5
MACHINE LEARNING
-
The Synthetic Data Trap: AI Strategy and Average Performance
By
–
-
AI Models Spatial Reasoning Leaderboard Challenge
By
–
Each model sees only text — no images — and must track every rotation and translation step-by-step to predict where things end up. Explore the leaderboard → http://
leaderboard.snorkel.ai/category/spati
al
… -
Google Earth AI Enables Multi-Modal Earth Analysis and Visualizations
By
–
Google Earth AI gives a multi-modal view of the earth that enables all kinds of interesting analyses and visualizations.
— Jeff Dean (@JeffDean) 23 octobre 2025
Read more about how Google and our external partners are using this at:https://t.co/NizMhs2mMl
Brief video: https://t.co/0WJCMRKKjF https://t.co/JdGhWDsDogGoogle Earth AI gives a multi-modal view of the earth that enables all kinds of interesting analyses and visualizations. Read more about how Google and our external partners are using this at: https://
blog.google/technology/res
earch/new-updates-and-more-access-to-google-earth-ai/
… Brief video: https://
youtu.be/UZ4RaLGDXI4 -
Using AI Well: 3 Essential Steps to Consider
By
–
You’re Using AI — But Are You Using It Well? 3 Steps To Consider
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @Scobleizer @AndrewYNg @drfeifei @KirkDBorne @fchollet @rowancheung @antgrasso http://
ow.ly/NLba30sQ3r4 -
Google Earth AI Advances Geospatial Models for Critical Insights
By
–
Earlier this year, we introduced Google Earth AI, our family of geospatial AI models and reasoning agents that provides users with actionable insights to help tackle the planet's most critical needs.
— Google AI (@GoogleAI) 23 octobre 2025
Today, we're announcing advancements in Earth AI's innovations and… pic.twitter.com/PENkA0fcaUEarlier this year, we introduced Google Earth AI, our family of geospatial AI models and reasoning agents that provides users with actionable insights to help tackle the planet's most critical needs. Today, we're announcing advancements in Earth AI's innovations and
-
Meta’s Soft Tokens Enable LLMs to Invent Recursive Representations
By
–
This paper from Meta about "Soft Tokens" in RL is interesting; it allows LLMs to invent their own non-discrete (recursive) representations in order to solve problems better… Results are mixed though: it's only a few percent better on GSM8k from pass@4 onwards, and pass@32 just
-
Deploying Machine Learning Models on Arduino Microcontrollers
By
–
From Blink to Think: Deploying ML on Arduino! At LearnOpenCV, we’ve always believed that AI shouldn’t be limited to powerful GPUs or cloud servers. It should run everywhere – even on the tiniest boards.
Our latest article of the edge devices series, explores exactly that idea. -
Neural Operators and TensorLy Ecosystem at PyTorch Conference
By
–
It was wonderful to have @JeanKossaifi and David present the poster on Neural Operators and tensorly at @PyTorch yesterday. There is no ai+science without neural operators. Check out our rich ecosystem.
-
New AI Model for Drug Design Integrates Advanced Physics Predictions
By
–
Proud to have contributed to this https://
caltech.edu/about/news/new
-ai-model-for-drug-design-brings-more-physics-to-bear-in-predictions
…