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Rethinking Reproducibility As the New Frontier in AI Research

Unite.AI

Reproducibility, integral to reliable research, ensures consistent outcomes through experiment replication. In the domain of Artificial Intelligence (AI) , where algorithms and models play a significant role, reproducibility becomes paramount. Multiple factors contribute to the reproducibility crisis in AI research.

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UCLA Researchers Propose PhyCV: A Physics-Inspired Computer Vision Python Library

Marktechpost

Artificial intelligence is making noteworthy strides in the field of computer vision. Integrating computer vision with other technologies is opening various gates to new potentials and scopes for AI. This unique library uses algorithms based on the laws and equations of physics to analyze pictorial data.

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AI News Weekly - Issue #339: Next DeepMind's Algorithm To Eclipse ChatGPT - Jun 29th 2023

AI Weekly

In the News Next DeepMind's Algorithm To Eclipse ChatGPT IN 2016, an AI program called AlphaGo from Google’s DeepMind AI lab made history by defeating a champion player of the board game Go. The study reveals that 20% of male users are already using AI to improve their online dating experiences. Powered by pluto.fi

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Google DeepMind Presents MoNE: A Novel Computer Vision Framework for the Adaptive Processing of Visual Tokens by Dynamically Allocating Computational Resources to Different Tokens

Marktechpost

One of the significant challenges in AI research is the computational inefficiency in processing visual tokens in Vision Transformer (ViT) and Video Vision Transformer (ViViT) models. Each token is dynamically routed to an appropriate expert using the Expert Preferred Routing (EPR) algorithm.

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This AI Paper Introduces BioCLIP: Leveraging the TreeOfLife-10M Dataset to Transform Computer Vision in Biology and Conservation

Marktechpost

Many branches of biology, including ecology, evolutionary biology, and biodiversity, are increasingly turning to digital imagery and computer vision as research tools. The researchers have identified two main obstacles to creating a vision foundation model in biology.

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AI trends in 2023: Graph Neural Networks

AssemblyAI

What is the current role of GNNs in the broader AI research landscape? Let’s take a look at some numbers revealing how GNNs have seen a spectacular rise within the research community. We find that the term Graph Neural Network consistently ranked in the top 3 keywords year over year.

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AI News Weekly - Issue #351: AI-focused tech firms locked in ‘race to the bottom’, warns MIT professor - Sep 21st 2023

AI Weekly

pitneybowes.com In The News How Google taught AI to doubt itself Today let’s talk about an advance in Bard, Google’s answer to ChatGPT, and how it addresses one of the most pressing problems with today’s chatbots: their tendency to make things up. [Get your FREE eBook.] Get your FREE eBook.] You can also subscribe via email.

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