I am sure the quantum hype has reached every person in tech (and outside it, most probably). With some over-the-top claims, like “some company has proved quantum supremacy,” “the quantum revolution is here,” or my favorite, “quantum computers are here, and it will make classical computers obsolete.” I am going to be honest with you; …
Should Data Scientists Care About Quantum Computing? Read More »
In 1906, Dr. Alois Alzheimer peered through a microscope and spotted something unusual: clumps and tangles in a patient’s brain tissue. This groundbreaking observation marked the first identification of what we now know as Alzheimer’s disease. Fast forward to today, and we’re not just looking through microscopes anymore. We’re using artificial intelligence to peer into …
Join Nolan Fortman and Logan Kilpatrick as they dive into an unfiltered conversation with Chamath Palihapitiya, covering: open source AI, the massive compute buildout, where the AI value creation is, how to build for the age of AI, Deepseek, and much more!
Exploring AI safety, adaptability, and efficiency for the real world Next week marks the start of the 40th International Conference on Machine Learning (ICML 2023), taking place 23-29 July in Honolulu, Hawai’i. ICML brings together the artificial intelligence (AI) community to share new ideas, tools, and datasets, and make connections to advance the field. From …
Have you ever wondered what happens behind the scenes when you chat with an AI? While you’re getting instant answers, something else is happening: generative AI power consumption soars with each interaction. It turns out, that seemingly simple exchange is part of a massive, energy-hungry system that’s quietly reshaping our world – and our power …
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 …
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 …
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 …
