Machine Learning

composers are known to reuse motifs (i.e., characteristic note progressions or melodic fragments) across their works. For example, famous Hollywood composers such as John Williams (Superman, Star Wars, Harry Potter) and Hans Zimmer (Inception, Interstellar, The Dark Knight) deftly recycle motifs to create instantly recognizable, signature soundtracks. In this article, we show how to do …

Eulerian Melodies: Graph Algorithms for Music Composition Read More »

Image by Author | ChatGPT   Machine learning has powerful applications across various domains, but effectively deploying machine learning models in real-world scenarios often necessitates the use of a web framework. Django, a high-level web framework for Python, is particularly popular for creating scalable and secure web applications. When paired with libraries like scikit-learn, Django …

Building Machine Learning Application with Django Read More »

Acknowledgements This work was developed by the Gemini Robotics team: Abbas Abdolmaleki, Saminda Abeyruwan, Joshua Ainslie, Jean-Baptiste Alayrac, Montserrat Gonzalez Arenas, Ashwin Balakrishna, Nathan Batchelor, Alex Bewley, Jeff Bingham, Michael Bloesch, Konstantinos Bousmalis, Philemon Brakel, Anthony Brohan, Thomas Buschmann, Arunkumar Byravan, Serkan Cabi, Ken Caluwaerts, Federico Casarini, Christine Chan, Oscar Chang, London Chappellet-Volpini, Jose Enrique …

Gemini Robotics 1.5 brings AI agents into the physical world Read More »

Never miss a new edition of The Variable, our weekly newsletter featuring a top-notch selection of editors’ picks, deep dives, community news, and more. AI-powered tools tend to generate extreme reactions: on one side we have the “It’s magic!” and “best thing ever!” crowd. On the other, we find the “we’re doomed!” camp. These aren’t static …

TDS Newsletter: To Better Understand AI, Look Under the Hood Read More »

Image by Editor | ChatGPT   # Introduction  Hallucinations — the bane of the language model (LM) and its users — are the plausible-sounding but factually incorrect statements produced by LMs. These hallucinations are problematic because they can erode user trust, propagate misinformation, and mislead downstream decisions even when the output is expressed with high confidence. …

Why Do Language Models Hallucinate? Read More »

We’re expanding our risk domains and refining our risk assessment process. AI breakthroughs are transforming our everyday lives, from advancing mathematics, biology and astronomy to realizing the potential of personalized education. As we build increasingly powerful AI models, we’re committed to responsibly developing our technologies and taking an evidence-based approach to staying ahead of emerging …

Strengthening our Frontier Safety Framework Read More »

days, people are taking more loans than ever. For anyone who wants to build their own house, home loans are available and if you own a property, you can get a property loan. There are also agriculture loans, education loans, business loans, gold loans, and many more. In addition to these, for buying items like …

The Kolmogorov–Smirnov Statistic, Explained: Measuring Model Power in Credit Risk Modeling Read More »

Image by Author | Ideogram   # Introduction  When you’re new to analyzing with Python, pandas is usually what most analysts learn and use. But Polars has become super popular and is faster and more efficient. Built in Rust, Polars handles data processing tasks that would slow down other tools. It is designed for speed, memory …

Beginner’s Guide to Data Analysis with Polars Read More »

Our new method could help mathematicians leverage AI techniques to tackle long-standing challenges in mathematics, physics and engineering. For centuries, mathematicians have developed complex equations to describe the fundamental physics involved in fluid dynamics. These laws govern everything from the swirling vortex of a hurricane to airflow lifting an airplane’s wing. Experts can carefully craft …

Discovering new solutions to century-old problems in fluid dynamics Read More »

language models has made many Natural Processing (NLP) tasks appear effortless. Tools like ChatGPT sometimes generate strikingly good responses, leading even seasoned professionals to wonder if some jobs might be handed over to algorithms sooner rather than later. Yet, as impressive as these models are, they still stumble on tasks requiring precise, domain-specific extraction. Motivation: …

Deploying a PICO Extractor in Five Steps Read More »