Welcome to the Machine Learning Hub, your one-stop destination for all things related to machine learning!
Get ready to embark on an exciting journey into the realm of AI and discover how machines can learn and make intelligent decisions. Our blog articles are crafted with simplicity and clarity in mind, making complex machine learning concepts easy to understand for everyone. Whether you’re a beginner or an experienced practitioner, we’ve got you covered with informative and insightful content. Explore the fascinating world of algorithms, models, and data as we delve into supervised and unsupervised learning, reinforcement learning, and more. Discover practical applications in various domains like healthcare, finance, and autonomous vehicles. From introductory guides to advanced techniques, we’re here to help you demystify machine learning and unlock its potential. Join us on this journey as we unravel the secrets of machine learning and empower you to build intelligent systems that can analyze data, make predictions, and drive innovation.
Let’s shape the future together with the power of machine learning!
Feeling inspired to write your first TDS post? We’re always open to contributions from new authors. We seem to be in that sweet spot on the calendar between the end of summer and the final rush before things slow down for the holiday season—in other words, it’s the perfect time of year for learning, tinkering, and …
Technologies Published 30 October 2024 Authors Zalán Borsos, Matt Sharifi and Marco Tagliasacchi Our pioneering speech generation technologies are helping people around the world interact with more natural, conversational and intuitive digital assistants and AI tools. Speech is central to human connection. It helps people around the world exchange information and ideas, express emotions and …
By combining Mesop’s simple yet powerful UI components with Plotly’s comprehensive charting capabilities, you can build a dynamic, interactive app to showcase data visualizations in Python. Mesop is a Python-native framework developed for rapid AI and web app development that allows you to build sophisticated interfaces without the need for traditional frontend skills; Plotly is, …
Hands-On Data Visualization with Google Mesop | by Alan Jones | Oct, 2024 Read More »
Today, we’re releasing two updated production-ready Gemini models: Gemini-1.5-Pro-002 and Gemini-1.5-Flash-002 along with: >50% reduced price on 1.5 Pro (both input and output for prompts <128K) 2x higher rate limits on 1.5 Flash and ~3x higher on 1.5 Pro 2x faster output and 3x lower latency Updated default filter settings These new models build on …
The real barrier isn’t technical skills — it’s time to think Despite the transformative potential of tools like ChatGPT, most knowledge workers I’ve spoken to don’t use it at all. Those who do primarily stick to basic tasks like summarization. Only a little over 5% of ChatGPT’s user base pays for plus — a small …
Research Published 26 September 2024 Authors Anna Goldie and Azalia Mirhoseini Our AI method has accelerated and optimized chip design, and its superhuman chip layouts are used in hardware around the world In 2020, we released a preprint introducing our novel reinforcement learning method for designing chip layouts, which we later published in Nature and …
How to gain insights from survey data and extract topics using embeddings and Large Language Models Photo by Olav Ahrens Røtne on Unsplash It has been exactly 4 months since I changed jobs and have had the time to settle in and continue my little side projects. The latest one was a survey analyser tool, …
This morning, Co-founder and CEO of Google DeepMind and Isomorphic Labs Sir Demis Hassabis, and Google DeepMind Director Dr. John Jumper were co-awarded the 2024 Nobel Prize in Chemistry for their work developing AlphaFold, a groundbreaking AI system that predicts the 3D structure of proteins from their amino acid sequences. David Baker was also co-awarded …
Demis Hassabis & John Jumper awarded Nobel Prize in Chemistry Read More »
CLASSIFICATION ALGORITHM Dissecting the math (with visuals) of a tiny neural network Ever feel like neural networks are showing up everywhere? They’re in the news, in your phone, even in your social media feed. But let’s be honest — most of us have no clue how they actually work. All that fancy math and strange …
This work was made possible by core research and engineering efforts from Andrea Agostinelli, Zalán Borsos, George Brower, Antoine Caillon, Cătălina Cangea, Noah Constant, Michael Chang, Chris Deaner, Timo Denk, Chris Donahue, Michael Dooley, Jesse Engel, Christian Frank, Beat Gfeller, Tobenna Peter Igwe, Drew Jaegle, Matej Kastelic, Kazuya Kawakami, Pen Li, Ethan Manilow, Yotam Mann, …
New generative AI tools open the doors of music creation Read More »
