Author: Divyesh Vitthal Jawkhede

Divyesh Vitthal Jawkhede
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Divyesh is a consulting intern at Marktechpost. He is pursuing a BTech in Agricultural and Food Engineering from the Indian Institute of Technology, Kharagpur. He is a Data Science and Machine learning enthusiast who wants to integrate these leading technologies into the agricultural domain and solve challenges.

Are LLMs Ready for Real-World Path Planning? A Critical Evaluation

AI Paper Summary
Large Language Models (LLMs) are advanced AI systems trained on large amounts of data to understand and generate human-like language. As large language models...

This AI Paper Proposes a Novel Neural-Symbolic Framework that Enhances LLMs’ Spatial Reasoning Abilities

AI Paper Summary
In today's world, large language models have shown great performance on various tasks and demonstrated different reasoning capabilities. This is important for advancing Artificial...

Unraveling Multimodal Dynamics: Insights into Cross-Modal Information Flow in Large Language Models

AI Paper Summary
Multimodal large language models (MLLMs) showed impressive results in various vision-language tasks by combining advanced auto-regressive language models with visual encoders. These models generated...

Understanding the Agnostic Learning Paradigm for Neural Activations

AI Paper Summary
ReLU stands for Rectified Linear Unit. It is a simple mathematical function widely used in neural networks. The ReLU regression has been widely studied...

MBA-SLAM: A Novel AI Framework for Robust Dense Visual RGB-D SLAM, Implementing both an Implicit Radiance Fields Version and an Explicit Gaussian Splatting Version

Editors Pick
SLAM (Simultaneous Localization and Mapping) is one of the important techniques used in robotics and computer vision. It helps machines understand where they are...

StereoAnything: A Highly Practical AI Solution for Robust Stereo Matching

AI Paper Summary
Computer vision is revolutionizing due to the development of foundation models in object recognition, image segmentation, and monocular depth estimation, showing strong zero- and...

SemiKong: An Open Source Foundation Model for Semiconductor Manufacturing Process

AI Paper Summary
Semiconductors are essential in powering various electronic devices and driving development across telecommunications, automotive, healthcare, renewable energy, and IoT industries. In semiconductor manufacturing and...

Researchers at the University of Tokyo Propose FlexFlood: A Data Updating Algorithm that Ensures Fast Search Even if Data Distribution Changes

AI Paper Summary
Filtering, scanning, and updating data are important operations in databases, and many data structures are used to perform these operations. In real-world situations, it's...

OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic Synthesis

AI Paper Summary
Logic synthesis is one of the important steps in designing digital circuits, in which high-level descriptions are turned into detailed gate-level designs. The development...

Balancing Accuracy and Speed in RAG Systems: Insights into Optimized Retrieval Techniques

AI Paper Summary
In recent times, Retrieval-augmented generation (RAG) has become popular due to its ability to solve challenges using Large Language Models, such as hallucinations and...

Microsoft Released LLM2CLIP: A New AI Technique in which a LLM Acts as a Teacher for CLIP’s Visual Encoder

AI Paper Summary
In today's world, CLIP is one of the most important multimodal foundational models. It combines visual and textual signals into a shared feature space...

From Edges to Nodes: SEGMN’s Comprehensive Approach to Graph Similarity

AI Paper Summary
In today's world, Graph similarity computation (GSC) plays an important role in various applications such as code detection, molecular graph similarity, image matching, etc.,...
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