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Human-centred mechanism design with Democratic AI

OpenAIDecember 25, 2023131Views 0Likes 0Comments

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…

1.5 Years of Spark Knowledge in 8 Tips | by Michael Berk | Dec, 2023

Data ScienceDecember 25, 2023121Views 0Likes 0Comments

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…

UC Berkeley Researchers Introduce StreamDiffusion: A Real-Time Diffusion-Pipeline Designed for Interactive Image Generation

AI NewsDecember 25, 2023144Views 0Likes 0Comments

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. …

Intuitive physics learning in a deep-learning model inspired by developmental psychology

OpenAIDecember 25, 2023113Views 0Likes 0Comments

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…

Creating Maps with QGIS. A comprehensive guide to the best… | by Jake Teo | Dec, 2023

Data ScienceDecember 25, 2023115Views 0Likes 0Comments

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…

Alibaba Researchers Propose I2VGen-xl: A Cascaded Video Synthesis AI Model which is Capable of Generating High-Quality Videos from a Single Static Image

AI NewsDecember 24, 2023133Views 0Likes 0Comments

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,…

DeepMind’s latest research at ICML 2022

OpenAIDecember 24, 2023124Views 0Likes 0Comments

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,…

A classy approach to solving Traveling Salesman Problems effectively with Python | by Carlos J. Uribe

Data ScienceDecember 24, 2023120Views 0Likes 0Comments

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…

Google Researchers Unveil DMD: A Groundbreaking Diffusion Model for Enhanced Zero-Shot Metric Depth Estimation

AI NewsDecember 24, 2023124Views 0Likes 0Comments

Although it would be helpful for applications like autonomous driving and mobile robotics, monocular estimation of metric depth in general situations has been difficult to achieve. Indoor and outdoor datasets have drastically different RGB and depth distributions, which presents a challenge. Another issue is the inherent scale ambiguity in photos caused by not knowing the…

Perceiver AR: general-purpose, long-context autoregressive generation

OpenAIDecember 24, 2023129Views 0Likes 0Comments

Over the last few years, autoregressive Transformers have brought a steady stream of breakthroughs in generative modeling. These models generate each element of a sample – the pixels of an image, the characters of a text (typically in “token” chunks), the samples of an audio waveform, and so on – by predicting one element after…