Author: Mohammad Arshad

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Arshad is an intern at MarktechPost. He is currently pursuing his Int. MSc Physics from the Indian Institute of Technology Kharagpur. Understanding things to the fundamental level leads to new discoveries which lead to advancement in technology. He is passionate about understanding the nature fundamentally with the help of tools like mathematical models, ML models and AI.

CMU Researchers Introduce MultiModal Graph Learning (MMGL): A New Artificial Intelligence Framework for Capturing Information from Multiple Multimodal Neighbors with Relational Structures Among Them

Multimodal graph learning is a multidisciplinary field combining concepts from machine learning, graph theory, and data fusion to tackle complex problems involving diverse data...

Researchers from UC Berkeley Propose RingAttention: A Memory-Efficient Artificial Intelligence Approach to Reduce the Memory Requirements of Transformers

A type of deep learning model architecture is called Transformers in the context of many state-of-the-art AI models. They have revolutionized the field of...

Fondant AI Releases Fondant-25M Dataset of Image-Text Pairs with a Creative Commons License

Handling and analysis of vast amounts of data is called Large-scale data processing. It involves extracting valuable insights, making informed decisions, and solving complex...

University of Sharjah Researchers Develop Artificial Intelligence Solutions for Inclusion of Arabic and Its Dialects in Natural Language Processing

Arabic is the national language of more than 422 million people and is ranked the fifth most extensively used language globally. However, it has...

UCSD and ByteDance Researchers Present ActorsNeRF: A Novel Animatable Human Actor NeRF Model that Generalizes to Unseen Actors in a Few-Shot Setting

Neural Radiance Fields (NeRF) is a powerful neural network-based technique for capturing 3D scenes and objects from 2D images or sparse 3D data.NeRF employs...

Researchers from ITU Denmark Introduce Neural Developmental Programs: Bridging the Gap Between Biological Growth and Artificial Neural Networks

The human brain is an extraordinarily complex organ, often considered one of the most intricate and sophisticated systems in the known universe. The brain...

Meet ConceptGraphs: An Open-Vocabulary Graph-Structured Representation for 3D Scenes

Capturing and encoding information about a visual scene, typically in the context of computer vision, artificial intelligence, or graphics, is called Scene representation. It...

Beyond the Fitzpatrick Scale: This AI Paper From Sony Introduces a Multidimensional Approach to Assess Skin Color Bias in Computer Vision

Discrimination based on color continues to persist in many societies worldwide despite the progress in civil rights and social justice movements. They can harm...

Deep Learning in Optical Metrology: How Can DYnet++ Enhance Single-Shot Deflectometry for Complex Surfaces?

Fuel cells are electrochemical devices that convert the chemical energy from a fuel and an oxidizing agent like Oxygen into electrical energy through a...

This AI Paper Dives into Embodied Evaluations: Unveiling the Tong Test as a Novel Benchmark for Progress Toward Artificial General Intelligence

Unlike narrow or specialized AI systems designed for specific tasks, Artificial General Intelligence (AGI)  can perform a wide range of functions that aim to...

Meet OpenCopilot: Create Custom AI Copilots for Your Own SaaS Product (like Shopify Sidekick)

An AI Copilot is an artificial intelligence system that assists developers, programmers, or other professionals in various tasks related to software development, coding, or...

Google DeepMind Introduces a New AI Tool that Classifies the Effects of 71 Million ‘Missense’ Mutations 

The greatest challenge in human genetics is arguably the complexity of the human genome and the vast diversity of genetic factors that contribute to...