Author: Mohammad Arshad

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.

Microsoft AI for Good Introduces Pytorch-Wildlife: An Open-Source Deep Learning Platform Built on PyTorch

Human activities increasingly threaten wildlife's role in maintaining ecosystem balance, highlighting the critical need for large-scale biodiversity monitoring. Addressing the logistical challenges of fieldwork...

Hierarchical Graph Masked AutoEncoders (Hi-GMAE): A Novel Multi-Scale GMAE Framework Designed to Handle the Hierarchical Structures within Graph

In graph analysis, the need for labeled data presents a significant hurdle for traditional supervised learning methods, particularly within academic, social, and biological networks....

FairProof: An AI System that Uses Zero-Knowledge Proofs to Publicly Verify the Fairness of a Model while Maintaining Confidentiality

The proliferation of machine learning (ML) models in high-stakes societal applications has sparked concerns regarding fairness and transparency. Instances of biased decision-making have led...

The AI-Powered Code Revolution: Bridging Traditional and Neurosymbolic Programming

Generative AI models, particularly Large Language Models (LLMs), have seen a surge in adoption across various industries, transforming the software development landscape. As enterprises...

DataSP: A Differentiable All-to-All Shortest Path Machine Learning Algorithm to Facilitate Learning Latent Costs from Trajectories

In traffic management and urban planning, the ability to learn optimal routes from demonstrations conditioned on contextual features holds significant promise. As underscored by...

Stylus: An AI Tool that Automatically Finds and Adds the Best Adapters (LoRAs, Textual Inversions, Hypernetworks) to Stable Diffusion based on Your Prompt

Adopting finetuned adapters has become a cornerstone in generative image models, facilitating customized image creation while minimizing storage requirements. This transition has catalyzed the...

ChatBI: A Comprehensive and Efficient Technology for Solving the Natural Language to Business Intelligence NL2BI Task

The rapid advancement of Large Language Models (LLMs) has sparked interest among researchers in academia and industry alike. Both the Natural Language Processing (NLP)...

LLMClean: An AI Approach for the Automated Generation of Context Models Utilizing Large Language Models to Analyze and Understand Various Datasets

The burgeoning expansion of the data landscape, propelled by the Internet of Things (IoT), presents a pressing challenge: ensuring data quality amidst the deluge...

MIT Researchers Propose Finch: A New Programming Language that Supports both Flexible Control Flow and Diverse Data Structures

The foundational importance of arrays in computer science cannot be overstated. Arrays and lists are the bedrock of data structures, often the first concepts...

This AI Paper from MIT and Harvard Demonstrates an AI Approach to Automated in Silico Hypothesis Generation and Testing Made Possible Through the Use...

Recent advancements in econometric modeling and hypothesis testing have witnessed a paradigm shift towards integrating machine learning techniques. While strides have been made in...

This AI Paper from China Introduces TinyChart: An Efficient Multimodal Large Language Models MLLMs for Chart Understanding with Only 3B Parameters

Charts have become indispensable tools for visualizing data in information dissemination, business decision-making, and academic research. As the volume of multimodal data grows, a...

FlashSpeech: A Novel Speech Generation System that Significantly Reduces Computational Costs while Maintaining High-Quality Speech Output

In recent years, speech synthesis has undergone a profound transformation thanks to the emergence of large-scale generative models. This evolution has led to significant...

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