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FouriScale: A Unique AI Technique Improving the Production of High Resolution Images with Previously Trained Diffusion Models

High-resolution image synthesis has always been a challenge in digital imagery due to issues such as the emergence of repetitive patterns and structural distortions. While pre-trained diffusion models have been effective, they often result in artifacts when it comes to high-resolution image generation. Despite various attempts, such as enhancing the convolutional layers of these models,…

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Experts from Stanford and Google AI have unveiled MELON, an AI methodology that can ascertain object-centric camera positions completely from scratch, while simultaneously creating a 3D reproduction of the object.

In the field of computer science, accurately reconstructing 3D models from 2D images—a problem known as pose inference—presents complex challenges. For instance, the task can be vital in producing 3D models for e-commerce or assisting in autonomous vehicle navigation. Existing methods rely on gathering the camera poses prior, or harnessing generative adversarial networks (GANs), but…

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A fresh approach relies on collective input from the public to assist in the education of robots.

A team of researchers from MIT, Harvard University, and the University of Washington have developed a novel reinforcement learning technique using crowdsourced feedback. The technique allows AI to learn complex tasks more quickly and without relying on an expertly designed reward function. The conventional reward function designed by dedicated human experts has been replaced by…

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What lies ahead for generative artificial intelligence?

MIT's Generative AI Week began with a symposium on November 28, titled “Generative AI: Shaping the Future”. The keynote speaker was Rodney Brooks, co-founder of iRobot and former director of the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. During his address, Brooks cautioned against overestimating the capabilities of generative AI, which forms the basis…

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Infographic: Obstacles of Implementing AI in a Healthcare System

The infographic article is centered on the challenges posed by the adoption and integration of Artificial Intelligence (AI) in contemporary health systems. It discusses various factors like budget constraints, lack of AI policy, shortage of expertise, privacy and security concerns as well as data issues that may hinder successful AI deployment. One of the first challenges…

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Nvidia Unveils Latest AI Superchip, Quantum Computing Solutions, and Tools for Humanoid Robots

On March 20, 2024, Nvidia, a US-based chipmaker touted as a leader in the artificial intelligence sector, announced several ground-breaking technologies at an annual developer conference. The company, currently valued over $2 trillion, continues to push boundaries in the world of artificial intelligence and robotics, showcasing its commitment to industry leadership. Among their announcements, Nvidia revealed…

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Scientists from Western and Chinese regions establish ‘red lines’ for AI development.

Renowned AI experts congregated at the second International Dialogue on AI Safety in Beijing last week to determine ‘red lines’ that must not be crossed in artificial intelligence (AI) development. These restrictions were proposed to limit existential risks associated with AI advancements. … Esteemed personalities who attended included Turing Award laureates Yoshua Bengio and Geoffrey Hinton,…

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DeepMind teams up with Liverpool FC to enhance corner techniques.

DeepMind, an artificial intelligence company, has collaborated with Liverpool Football Club to develop TacticAI, an AI system designed to revolutionize football tactics, starting with corner kicks. The AI draws inspiration from the unforgettable play in the 2019 UEFA Champions League semi-finals, which resulted in a legendary goal from Origi. TacticAI will attempt to recreate such…

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Hidet: A Deep Learning Compiler Based on Open-Source Python

The deep learning field has been calling for optimized inference workloads more than ever, and this need has been met with Hidet. Hidet is an open-source deep learning compiler, developed by the dedicated team of engineers at CentML Inc, and is written in Python, aiming to refine the compilation process. This compiler offers total support…

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Comparing GitHub Copilot and ChatGPT: Which AI Instrument is Superior for Programming Development?

In the world of software development, the decision between using GitHub Copilot and ChatGPT can play a significant role in improving your efficiency and stimulating innovation. Each tool comes with its unique set of features, advantages, and disadvantages which are crucial for developers to understand in order to choose the tool that fits their specific…

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This AI Article Suggests Uni-SMART: Transforming the Review of Scientific Literature through Multimodal Data Fusion

The rapid increase in available scientific literature presents a challenging environment for researchers. Current Language Learning Models (LLMs) are proficient at extracting text-based information but struggle with important multimodal data, including charts and molecular structures, found in scientific texts. In response to this problem, researchers from DP Technology and AI for Science Institute, Beijing, have…

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