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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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2023: A Year of Groundbreaking Advances in AI and Computing

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 …

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

ContentsEven with zero math backgroundDo You Even Need to Know Math for ML?What to LearnResourcesHow to StudyAgain, Math (Probably) Won’t Get You a Job 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 …

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Images altered to trick machine vision can influence humans too

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 …

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Predicting a Ball Trajectory. Polynomial Fit in Python with NumPy | by Florian Trautweiler | Jan, 2025

Polynomial Fit in Python with NumPy Ball Tracking and Trajectory Prediction In a previous project I visualized the trajectory of a ball that I threw vertically into the air with a real-time position, velocity and acceleration plot. Extending upon this project, I wanted to calculate and visualize a trajectory prediction based on a simple physics …

Predicting a Ball Trajectory. Polynomial Fit in Python with NumPy | by Florian Trautweiler | Jan, 2025 Read More »

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How to Tell Among Two Regression Models with Statistical Significance | by LucianoSphere (Luciano Abriata, PhD) | Jan, 2025

Diving into the F-test for nested models with algorithms, examples and code When analyzing data, one often needs to compare two regression models to determine which one fits best to a piece of data. Often, one model is a simpler version of a more complex model that includes additional parameters. However, more parameters do not …

How to Tell Among Two Regression Models with Statistical Significance | by LucianoSphere (Luciano Abriata, PhD) | Jan, 2025 Read More »

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