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Are you looking for handy quick references for a variety of topics on data science, machine learning, Python programming, data engineering, and AI? Do you want to stay updated while enhancing your skills in these areas? The collection of cheat sheets that KDnuggets has created over the…
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Transformer models are crucial in machine learning for language and vision processing tasks. Transformers, renowned for their effectiveness in sequential data handling, play a pivotal role in natural language processing and computer vision. They are designed to process input data in parallel, making them highly efficient for large datasets. Regardless, traditional Transformer architectures must improve…
In our recent paper, published in Nature Human Behaviour, we provide a proof-of-concept demonstration that deep reinforcement learning (RL) can be used to find economic policies that people will vote for by majority in a simple game. The paper thus addresses a key challenge in AI research - how to train AI systems that align…
My learnings from Databricks customer engagements Figure 1: a technical diagram of how to write apache spark. Image by author.At Databricks, I help large retail organizations deploy and scale data and machine learning pipelines. Here are the 8 most important spark tips/tricks I’ve learned in the field. Throughout this post, we assume a general working…
The use of diffusion models for interactive image generation is a burgeoning area of research. These models are lauded for creating high-quality images from various prompts and finding applications in digital art, virtual reality, and augmented reality. However, their real-time interaction capabilities are limited, particularly in dynamic environments like the Metaverse and video game graphics. …
Understanding the physical world is a critical skill that most people deploy effortlessly. However, this still poses a challenge to artificial intelligence; if we’re to deploy safe and helpful systems in the real world, we want these models to share our intuitive sense of physics. But before we can build those models, there is another…
A comprehensive guide to the best open-source GIS software 11 min read · 14 hours ago Photo by Louis Hansel on UnsplashMore than 10 years when I started my data career as a GIS (Geographic Information System) analyst, two pieces of do-it-all GIS software were prominent. 10 years later, it is still…
Researchers from Alibaba, Zhejiang University, and Huazhong University of Science and Technology have come together and introduced a groundbreaking video synthesis model, I2VGen-XL, addressing key challenges in semantic accuracy, clarity, and spatio-temporal continuity. Video generation is often hindered by the scarcity of well-aligned text-video data and the complex structure of videos. To overcome these obstacles,…
Paving the way for generalised systems with more effective and efficient AI Starting this weekend, the thirty-ninth International Conference on Machine Learning (ICML 2022) is meeting from 17-23 July, 2022 at the Baltimore Convention Center in Maryland, USA, and will be running as a hybrid event. Researchers working across artificial intelligence, data science, machine vision,…
Here we won’t start from scratch. As stated earlier, we already developed the code that builds a Pyomo model of the TSP and solves it in sprint 3. And trust me, that was the hardest part. Now, we have the easier task of organizing what we did in a way that makes it general, hiding…