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, …

Transforming the future of music creation Read More »

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 …

A Beginner’s 12-Step Visual Guide to Understanding NeRF: Neural Radiance Fields for Scene Representation and View Synthesis | by Aqeel Anwar | Jan, 2025 Read More »

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 …

Google’s most capable AI model yet Read More »

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 …

4 Ways to Improve Statistical Power Read More »

Research Published 8 December 2023 Towards more multimodal, robust, and general AI systems Next week marks the start of the 37th annual conference on Neural Information Processing Systems (NeurIPS),the largest artificial intelligence (AI) conference in the world. NeurIPS 2023 will be taking place December 10-16 in New Orleans, USA. Teams from across Google DeepMind are …

Google DeepMind at NeurIPS 2023 Read More »

How I migrated an old solution to a more elegant, robust and scalable solution using text classification from openAI Photo by Hunter Harritt on Unsplash As mentioned in the previous article, I talked about how I learned the foundations of machine learning in order to solve a problem with text classification. Due to the lack …

Machine Learning + openAI: solving a text classification problem | by Ricardo Ribas Read More »

Research Published 14 December 2023 Authors Alhussein Fawzi and Bernardino Romera Paredes By searching for “functions” written in computer code, FunSearch made the first discoveries in open problems in mathematical sciences using LLMs Update: In December 2024, we published a report on arXiv showing how our method can be used to amplify human performance in …

FunSearch: Making new discoveries in mathematical sciences using Large Language Models Read More »