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.

Meet ‘EDGE’: A Diffusion Based AI Model That Generates Realistic And Long-Form Dance Sequences Conditioned On Music

AI Paper Summary
Many cultures place a high value on dance as a means of expression, communication, and social connection. However, producing new dances or dance animations...

Researchers At Stanford Have Developed A New Artificial Intelligence (AI) Benchmark To Understand Large Language Models (LLMs)

AI Paper Summary
Benchmarks orient AI. They encapsulate ideals and priorities that describe how the AI community should progress. When properly developed and analyzed, they allow the...

Latest Artificial Intelligence (AI) Study from Harvard Find Ways to Maximize the Accuracy of Image Segmentation by Machine Learning Algorithms in Multiplexed Tissue Images...

AI Paper Summary
Cell types, basement membranes, and connective structures that organize tissues and tumors can be found in length ranges ranging from microscopic organelles to whole...

Baidu Researchers Propose ‘HETERPS’ for Distributed Deep Learning with Reinforcement Learning-Based Scheduling in Heterogeneous Environments

AI Paper Summary
Deep Neural Networks (DNNs) have succeeded greatly in several fields, including advertising systems, computer vision, and natural language processing. Large models with lots of...

OneFormer: An Universal Image Segmentation Framework That Unifies Segmentation With A Multi-Task Train-Once Design

AI Paper Summary
Pixels are divided into many segments during the process of image segmentation. Such categorization may be instance-based or semantic (e.g., road, sky, building). A...

Check Out TorchOpt: An Efficient Library For Differentiable Optimization Built Upon PyTorch

AI Paper Summary
Differentiable optimization-based algorithms, such as MAML, OptNet, and MGRL, have flourished recently. Meta-gradient, or the gradient term of outer-loop variables obtained by differentiating through...

Meet Paella, a Novel AI Text-to-Image Model That Uses a Speed-Optimized Architecture Allowing to Sample a Single Image in Less Than 500 ms While...

AI Paper Summary
Recent advances in the diversity, quality, and variety of created pictures result from research on text-to-image generation. However, these models' remarkable output quality has...

AI Researchers from China Suggest a Robust Foundation for Multimodal Connection Extraction Based on an Implicit Fine-Grained Multimodal Alignment and Transformer

AI Paper Summary
The goal of relation extraction (RE), which is helpful for many knowledge-driven activities, is to determine the semantic relationships between two elements in a...

This Artificial Intelligence AI Research Proposes A Novel NIR-VIS Face Generation Method To Address The Problem of Insufficient NIR-VIS Data For The Cross-Modality Face...

AI Paper Summary
Face recognition across Near Infrared (NIR) and VIS images have recently gained increasing attention in the computer vision community to overcome the problem that...

Computer Science Researchers at Bytedance Developed Monolith: a Collisionless Optimised Embedding Table for Deep Learning-Based Real-Time Recommendations in a Memory-Efficient Way

AI Paper Summary
Over the past decade, a surge in the number of businesses powered by recommendation techniques has been observed. Delivering personalized content for each user...

Researchers From Microsoft and TUDelft Propose An Artificial Intelligence (AI) Based Approach That Creates Synthetic Expression-Based Face Wrinkles

AI Paper Summary
Synthetic data has frequently been used for a range of computer vision tasks, such as object identification, scene comprehension, eye tracking, hand tracking, and...

Researchers At Stanford Have Developed An Artificial Intelligence (AI) Approach Called ‘MEND’ For Fast Model Editing At Scale

AI Paper Summary
Large models have improved performance on a wide range of modern computer vision and, in particular, natural language processing problems. However, issuing patches to...
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