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Recent video-language models' (VidLMs) performance on various video-language tasks has been outstanding. Such multimodal models only come with drawbacks. For example, it is shown that vision-language models have difficulty understanding compositional and order relations in images,...
Language gives humans an extraordinary level of general intellect and sets them apart from all other creatures. Importantly, language not only helps people interact with others better, but it also improves our capacity to think. Before...

Researchers at Intel Labs Creates A New Data Science Pipeline That Accelerates Single-cell RNA-Seq Analysis

This Article is written as a summary by Marktechpost Staff based on the research article 'Intel Labs Accelerates Single-cell RNA-Seq Analysis'. All Credit For...

Stanford AIMI Releases Its Free Open-Source Repository Of Medical Datasets For Artificial Intelligence (AI) Research

Stanford is looking to democratize research on artificial intelligence and medicine by releasing the world's largest free repository of AI-ready annotated medical imaging datasets....

Facebook AI Releases An Image Similarity Data Set And Announces The Launch Of An Associated Competition With A $200,000 Prize Pool

Recently, Facebook released the Image Similarity data set and announced an associated competition hosted by DrivenData with a whopping $200,000 prize pool. The competition began on...

Top IoT Books To Read in 2021

The Second Machine Age: Work, Progress and Prosperity in a Time of Brilliant Technologies by Erik Brynjolfsson and Andrew McAfee In recent years, Google’s autonomous cars have logged thousands...

Optimizing Hyperparameters Using The Keras Tuner Framework

Hyperparameter optimization is an integral part of deep learning as a machine learning project is crucially dependent on the choice of good hyperparameters. Neural...

An MIT And IBM Research Group Has Proposed A Cross-Modal Auditory Localization Framework To Locate Moving Objects Using Stereo Sound Instead of Visual Input

Object localization means locating an instance of a particular moving object in a scene. This is done by using visual data as the input...

DeepMind Research Introduces Algorithms for Causal Reasoning in Probability Trees

For cutting-edge AI researchers looking for clean semantics models to represent the context-specific causal dependencies essential for causal induction, this DeepMind's algorithm encourages you to look at...

LiteDepthwiseNet: A Lightweight Neural Network for Hyperspectral Image Classification

What are Hyperspectral images? Hyperspectral images (HSIs) are a kind of optical remote sensing image with a high spectral resolution. Hyperspectral images (HSIs) have attracted...

Facebook AI Open-Sources Graph Transformer Networks (GTN) For Automatic Differentiation With Graphs

Graph Transformer Networks (GTN) is an open-source framework with weighted finite-state transducers (WFSTs), a powerful and expressive type of graph. GTN, just like PyTorch,...

LALE: A Python Library Simplifying Automated Machine Learning

Whenever any data scientist thinks of developing a pipeline, they try bringing automated machine learning into the picture to make the task easier. However,...

tsBNgen, a Python Library to Generate Synthetic Data From an Arbitrary Bayesian Network.

When we think of machine learning, the first step is to acquire and train a large dataset. However, many times the data isn’t available...

Libra: A Python Tool That Automates Machine Learning Process in a Few Lines of Code.

This python library 'Libra' automates the end-to-end machine learning process with just one line of code. Libra is built for both software developers and...

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