Research Published 14 November 2023 Authors Remi Lam on behalf of the GraphCast team Our state-of-the-art model delivers 10-day weather predictions at unprecedented accuracy in under one minute The weather affects us all, in ways big and small. It can dictate how we dress in the morning, provide us with green energy and, in the …
GraphCast: AI model for faster and more accurate global weather forecasting Read More »
There’s an acronym you’ve probably heard non-stop for the past few years: LLM, which stands for Large Language Model. In this article we’re going to take a brief look at what LLMs are, why they’re an extremely exciting piece of technology, why they matter to you and me, and why you should care about LLMs. …
Large Language Models: A Short Introduction | by Carolina Bento | Jan, 2025 Read More »
Experience AI’s course and resources are expanding on a global scale AI has the potential to drive one of the greatest social, economic and scientific transformations in history, and we need to ensure the technology benefits as many people as possible. One important way to do this is through access to AI education to develop …
Empowering the next generation for an AI-enabled world Read More »
From Data Lakehouses to Event-Driven Architecture — Master 12 data concepts and turn them into simple projects to stay ahead in IT. When I scroll through YouTube or LinkedIn and see topics like RAG, Agents or Quantum Computing, I sometimes get a queasy feeling about keeping up with these innovations as a data professional. But when I …
The Concepts Data Professionals Should Know in 2025: Part 1 | by Sarah Lea | Jan, 2025 Read More »
Acknowledgements: Lyria was made possible by key research and engineering contributions from Kazuya Kawakami, David Ding, Björn Winckler, Cătălina Cangea, Tobenna Peter Igwe, Will Grathwohl, Yan Wu, Yury Sulsky, Jacob Kelly, Charlie Nash, Conor Durkan, Yaroslav Ganin, Tom Eccles, Zach Eaton-Rosen, Jakob Bauer, Mikita Sazanovich, Morgane Rivière, Evgeny Gladchenko, Mikołaj Bińkowski, Ali Razavi, Jeff Donahue, …
This tutorial is part of a series where I’ll explore deep learning applications across various domains, each with its own project. The focus here is on learning deep Learning and image classification. We could have chosen to classify cats, dogs, or flowers, but for this project, we opted to work with satellite images as they …
Satellite Image Classification Using Deep Learning | By Leo Anello | Medium Read More »
Research Published 29 November 2023 Authors Amil Merchant and Ekin Dogus Cubuk AI tool GNoME finds 2.2 million new crystals, including 380,000 stable materials that could power future technologies Modern technologies from computer chips and batteries to solar panels rely on inorganic crystals. To enable new technologies, crystals must be stable otherwise they can decompose, …
Millions of new materials discovered with deep learning Read More »
ContentsA basic understanding of NeRF’s workings through visual representationsWho should read this article?What is NeRF and How Does It Work?Step 1: Multi-view input imagesStep2 to 4: Sampling, Pixel iteration, and Ray casting A basic understanding of NeRF’s workings through visual representations Who should read this article? This article aims to provide a basic beginner level …
ContentsMaking Gemini available to the worldGemini Pro in Google productsBuilding with GeminiGemini Ultra coming soon Making Gemini available to the world Gemini 1.0 is now rolling out across a range of products and platforms: Gemini Pro in Google products We’re bringing Gemini to billions of people through Google products. Starting today, Bard will use a …
ContentsIn A/B testing, you often have to balance statistical power and how long the test takes. Learn how Allocation, Effect Size, CUPED & Binarization can help you.Statistical Power: Importance and Influential FactorsAllocationEffect SizeVariance reduction (CUPED)BinarizationConclusions In A/B testing, you often have to balance statistical power and how long the test takes. Learn how Allocation, Effect …
