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

Data ScienceDecember 25, 2023189Views 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, 2023234Views 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, 2023208Views 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, 2023215Views 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, 2023226Views 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, 2023244Views 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…

A Comprehensive Overview of Gaussian Splatting | by Kate Yurkova | Dec, 2023

Data ScienceDecember 24, 2023200Views 0Likes 0Comments

Additionally, Gaussian splatting doesn’t involve any neutral network at all. There isn’t even a small MLP, nothing “neural”, a scene is essentially just a set of points in space. This in itself is already an attention grabber. It is quite refreshing to see such a method gaining popularity in our AI-obsessed world with research companies…

Meet HOI-Diff: Text-Driven Synthesis of 3D Human-Object Interactions Using Diffusion Models

AI NewsDecember 24, 2023229Views 0Likes 0Comments

In response to the challenging task of generating realistic 3D human-object interactions (HOIs) guided by textual prompts, researchers from Northeastern University, Hangzhou Dianzi University, Stability AI, and Google Research have introduced an innovative solution called HOI-Diff. The intricacies of human-object interactions in computer vision and artificial intelligence have posed a significant hurdle for synthesis tasks.…

The virtuous cycle of AI research

OpenAIDecember 24, 2023210Views 0Likes 0Comments

We recently caught up with Petar Veličković, a research scientist at DeepMind. Along with his co-authors, Petar is presenting his paper The CLRS Algorithmic Reasoning Benchmark at ICML 2022 in Baltimore, Maryland, USA. My journey to DeepMind... Throughout my undergraduate courses at the University of Cambridge, the inability to skilfully play the game of Go…

Enhanced Large Language Models as Reasoning Engines | by Anthony Alcaraz | Dec, 2023

Data ScienceDecember 24, 2023203Views 0Likes 0Comments

The recent exponential advances in natural language processing capabilities from large language models (LLMs) have stirred tremendous excitement about their potential to achieve human-level intelligence. Their ability to produce remarkably coherent text and engage in dialogue after exposure to vast datasets seems to point towards flexible, general purpose reasoning skills. However, a growing chorus of…