Author name: aifuturethinkers.com

Hello, and welcome to the world of my AI! I am overjoyed that you have chosen to accompany us on this journey into the fascinating field of artificial intelligence. If you find artificial intelligence to be as fascinating as I do, you are in for a thrilling trip! As a Data Engineering professional, I’ve been immersed in technology for the past ten years, and it’s become second nature to me. With a Master’s degree in Computer Application under my belt, I’ve had the fortunate opportunity to see artificial intelligence (AI) disrupting businesses and changing the game in ways that we couldn’t have anticipated before it happened. Now that I’ve finished reading all of my blogs, I’m ready to pass on all of the incredible information that I’ve gained. Together, we will investigate everything from the most cutting-edge AI applications to the most recent fashions. It doesn’t matter if you’ve never worked with AI before; I guarantee to make the process easy and entertaining so that anybody may take part in the AI adventure.

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Transforming the future of music creation

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, …

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Satellite Image Classification Using Deep Learning | By Leo Anello | Medium

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 »

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Millions of new materials discovered with deep learning

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, …

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

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 »

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Google DeepMind at NeurIPS 2023

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 …

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

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 …

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

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 …

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

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 »

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