Author name: aifuturethinkers.com

Stable Diffusion 1.5/2.0/2.1/XL 1.0, DALL-E, Imagen… In the past years, Diffusion Models have showcased stunning quality in image generation. However, while producing great quality on generic concepts, these struggle to generate high quality for more specialised queries, for example generating images in a specific style, that was not frequently seen in the training dataset. We …

Six Ways to Control Style and Content in Diffusion Models Read More »

How we’re applying the latest AI developments to help fight climate change and build a more sustainable, low-carbon world AI is a powerful technology that will transform our future, so how can we best apply it to help combat climate change and find sustainable solutions? Our climate & sustainability lead, Sims Witherspoon, who recently spoke …

Using AI to fight climate change Read More »

Which Outcome Matters? Here is a common scenario : An A/B test was conducted, where a random sample of units (e.g. customers) were selected for a campaign and they received Treatment A. Another sample was selected to receive Treatment B. “A” could be a communication or offer and “B” could be no communication or no …

The Gamma Hurdle Distribution | Towards Data Science Read More »

Our next iteration of the FSF sets out stronger security protocols on the path to AGI AI is a powerful tool that is helping to unlock new breakthroughs and make significant progress on some of the biggest challenges of our time, from climate change to drug discovery. But as its development progresses, advanced capabilities may …

Updating the Frontier Safety Framework Read More »

Metric collection is an essential part of every machine learning project, enabling us to track model performance and monitor training progress. Ideally, Metrics should be collected and computed without introducing any additional overhead to the training process. However, just like other components of the training loop, inefficient metric computation can introduce unnecessary overhead, increase training-step …

Efficient Metric Collection in PyTorch: Avoiding the Performance Pitfalls of TorchMetrics Read More »

In December, we kicked off the agentic era by releasing an experimental version of Gemini 2.0 Flash — our highly efficient workhorse model for developers with low latency and enhanced performance. Earlier this year, we updated 2.0 Flash Thinking Experimental in Google AI Studio, which improved its performance by combining Flash’s speed with the ability …

2.0 Flash, Flash-Lite, Pro Experimental Read More »

In the world of machine learning, we obsess over model architectures, training pipelines, and hyper-parameter tuning, yet often overlook a fundamental aspect: how our features live and breathe throughout their lifecycle. From in-memory calculations that vanish after each prediction to the challenge of reproducing exact feature values months later, the way we handle features can …

ML Feature Management: A Practical Evolution Guide Read More »

Research Published 28 July 2023 Authors Yevgen Chebotar, Tianhe Yu Robotic Transformer 2 (RT-2) is a novel vision-language-action (VLA) model that learns from both web and robotics data, and translates this knowledge into generalised instructions for robotic control High-capacity vision-language models (VLMs) are trained on web-scale datasets, making these systems remarkably good at recognising visual …

RT-2: New model translates vision and language into action Read More »

Simple methods to replace cluttered bar charts with crisp, reader-friendly visuals. Photo by Steffen Petermann on Unsplash (a bubble’s added by me) Statue can be found in Weimar — Park an der Ilm (but Shakespeare obviously doesn’t speak) Welcome to the ninth post in my “Plotly with code” series! If you missed the first one, …

Awesome Plotly with code series (Part 9): To dot, to slope or to stack? | by Jose Parreño | Feb, 2025 Read More »

Technologies Published 29 August 2023 Authors Sven Gowal, Pushmeet Kohli New tool helps watermark and identify synthetic images created by Imagen AI-generated images are becoming more popular every day. But how can we better identify them, especially when they look so realistic? Today, in partnership with Google Cloud, we’re launching a beta version of SynthID, …

Identifying AI-generated images with SynthID Read More »