Machine Learning

A basic understanding of NeRF’s workings through visual representations Who should read this article? This article aims to provide a basic beginner level understanding of NeRF’s workings through visual representations. While various blogs offer detailed explanations of NeRF, these are often geared toward readers with a strong technical background in volume rendering and 3D graphics. …

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 »

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 fine-tuned version of Gemini Pro for more advanced reasoning, planning, understanding and more. This is …

Google’s most capable AI model yet Read More »

In 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. Image by author In A/B testing, you often have to balance statistical power and how long the test takes. You want a strong test that can find any …

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 »

Master fine-tuning Transformers, comparing deep learning architectures, and deploying sentiment analysis models Photo by Nathan Dumlao on Unsplash This project provides a detailed, step-by-step guide to fine-tuning a Transformer model for sentiment classification while taking you through the entire Machine Learning pipeline. Curious for more? The COMPLETE project repository awaits you in the Bibliography section …

Sentiment Analysis with Transformers: A Complete Deep Learning Project — PT. I | by Leo Anello 💡 | Jan, 2025 Read More »

Company Published 22 December 2023 Authors By Jeff Dean, Chief Scientist, Google DeepMind & Google Research, Demis Hassabis, CEO, Google DeepMind, and James Manyika, SVP, Google Research, Technology & Society This has been a year of incredible progress in the field of Artificial Intelligence (AI) research and its practical applications. As ongoing research pushes AI …

2023: A Year of Groundbreaking Advances in AI and Computing Read More »

Even with zero math background Photo by Antoine Dautry on Unsplash Do you want to become a Data Scientist or machine learning engineer, but you feel intimidated by all the math involved? I get it. I’ve been there. I dropped out of High School after 10th grade, so I never learned any math beyond trigonometry …

How To Learn Math for Machine Learning, Fast | by Marina Wyss – Gratitude Driven | Jan, 2025 Read More »

Research Published 2 January 2024 Authors Gamaleldin Elsayed and Michael Mozer New research shows that even subtle changes to digital images, designed to confuse computer vision systems, can also affect human perception Computers and humans see the world in different ways. Our biological systems and the artificial ones in machines may not always pay attention …

Images altered to trick machine vision can influence humans too Read More »