Author: Aneesh Tickoo

Aneesh Tickoo
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Aneesh Tickoo is a consulting intern at MarktechPost. He is currently pursuing his undergraduate degree in Data Science and Artificial Intelligence from the Indian Institute of Technology(IIT), Bhilai. He spends most of his time working on projects aimed at harnessing the power of machine learning. His research interest is image processing and is passionate about building solutions around it. He loves to connect with people and collaborate on interesting projects.

A New AI Research Proposes A Simple Yet Effective Structure-Based Encoder For Protein Representation Learning According To Their 3D Structures

AI Paper Summary
Proteins, the energy of the cell, are involved in various applications, including material and treatments. They are made up of an amino acid chain...

This AI Paper Proposes a Novel Gradient-Based Method Called Cones to Analyze and Identify the Concept Neurons in Diffusion Models

AI Paper Summary
Complex structure of the brain enables it to perform amazing cognitive and creative tasks. According to research, concept neurons in the human medial temporal...

Researchers at Stanford developed an Artificial Intelligence (AI) Model called ‘RoentGen,’ based on Stable Diffusion and fine-tuned on a Large Chest X-ray and Radiology...

AI Paper Summary
Latent diffusion models (LDMs), a subclass of denoising diffusion models, have recently acquired prominence because they make generating images with high fidelity, diversity, and...

Meet StyleAvatar3D: A New AI Method for Generating Stylized 3D Avatars Using Image-Text Diffusion Models and a GAN-based 3D Generation Network

AI Shorts
Since the advent of large-scale image-text pairings and sophisticated generative model topologies like diffusion models, generative models have made tremendous progress in producing high-fidelity...

We know That LLMs Can Use Tools, But Did You Know They Can Also Make New Tools? Meet LLMs As Tool Makers (LATM): A...

AI Shorts
Large language models (LLMs) have excelled in a wide range of NLP tasks and have shown encouraging evidence of achieving some features of artificial...

This AI Paper Proposes Retentive Networks (RetNet) as a Foundation Architecture for Large Language Models: Achieving Training Parallelism, Low-Cost Inference, and Good Performance

AI Shorts
Transformer, which was first developed to address the sequential training problem with recurrent models, has since come to be accepted as the de facto...

Meet MultiDiffusion: A Unified AI Framework That Enables Versatile And Controllable Image Generation Using A Pre-Trained Text-to-Image Diffusion Model

AI Paper Summary
While diffusion models are now considered state-of-the-art, text-to-image generative models, they have emerged as a "disruptive technology" that exhibits previously unheard-of skills in creating...

A New AI Research Introduces Directional Stimulus Prompting (DSP): A New Prompting Framework to Better Guide the LLM in Generating the Desired Summary

AI Paper Summary
Natural language processing (NLP) has seen a paradigm shift in recent years, with the advent of Large Language Models (LLMs) that outperform formerly relatively...

Meet TableGPT: A Unified Fine-Tuned Framework that Enables LLMs to Understand and Operate on Tables Using External Functional Commands

AI Shorts
Tables are frequently used to represent the vast and complex world of data and serve as the basis for data-driven decision-making in various contexts,...

Researchers from KAIST and Google introduced collaborative score distillation (CSD): an AI method that extends the singular of the text-to-image diffusion model for consistent...

AI Shorts
Text-to-image diffusion models have been built up by employing billions of image-text pairings and effective topologies, demonstrating amazing capabilities in synthesizing high-quality, realistic, and...

Meet DreamTeacher: A Self-Supervised Feature Representation Learning AI Framework that Utilizes Generative Networks for Pre-Training Downstream Image Backbones

AI Shorts
Self-supervised representation learning is a successful method for developing the foundational skills of vision. This line of research is based on the idea that...

Meet DERA: An AI Framework For Enhancing Large Language Model Completions With Dialog-Enabled Resolving Agents

AI Paper Summary
Deep learning "large language models" have been developed to forecast natural language content based on input. Beyond only language modelling challenges, the usage of...
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