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.

An Interview Study by UC Berkeley Researchers Explain the Process of Operationalizing Machine Learning or MLOps that Expose Variables that Govern the Success of...

AI Paper Summary
As Machine Learning becomes increasingly prevalent in software, a new subfield known as MLOps (short for ML Operations) has evolved to organize the "collection...

Penn State Researchers Propose ‘ESFPNet,’ An Effective Deep Learning Network for Real-Time Lesion Segmentation in Autofluorescence Bronchoscopic Video

AI Paper Summary
The leading cancer mortality globally is Lung Cancer. A key objective for increasing lung cancer survival is discovering the illness early, allowing for the...

Meet ‘SegNeXt,’ A simple Convolutional Neural Network Architecture For Semantic Segmentation

AI Paper Summary
Semantic segmentation, which tries to give a semantic category to each pixel, has gotten a lot of interest in the last decade as one...

Latest Computer Vision Research From China Proposes a LiDAR-Inertial-Visual Fusion Framework Termed R3LIVE++ to Achieve Robust and Accurate State Estimation While Simultaneously Reconstructing the...

AI Paper Summary
Simultaneous localization and mapping (SLAM) is a system that estimates sensor postures while concurrently reconstructing a 3D map of the surrounding environment using a...

Here is Another Breakthrough in Text-to-Image Synthesis, Called StoryDALL-E, Which Adapts Pretrained Text-to-Image Transformers for Story Continuation

AI Paper Summary
Text-to-image synthesis algorithms, such as DALL-E, have demonstrated an extraordinary capacity to turn an input caption into a cohesive picture. Several latest techniques have...

Researchers Develop MassMIND: Massachusetts Maritime INfrared Dataset Consisting of Images Captured in Long Wave Infrared (LWIR) Spectrum

AI Paper Summary
Advances in deep learning algorithms have resulted in an exponential increase in research on land vehicle autonomy in recent years. Publicly available labeled datasets,...

Researchers at Los Alamos National Laboratory Explore New Ways to Compare Neural Networks and Expose How Artificial Intelligence (AI) Works

AI Paper Summary
There is evidence that neural networks rely on comparable characteristics for categorization across designs and weight initializations. Previous research has presented the universality hypothesis,...

Latest Computer Vision Research From China Proposes a Point-Track-Transformer (PTT) Module for Point Cloud-Based 3D Single Object Tracking Task

AI Paper Summary
Single Object Tracking (Sot) With Lidar Points Has Many Applications In Robotics And Automatic Driving. For example, the autonomous pedestrian following robot should be...

Researchers propose ‘DualNets,’ a novel general continual learning framework comprising a fast learning and a slow learning system

AI Paper Summary
Humans have a unique ability to learn and retain knowledge throughout their lives in order to execute various cognitive tasks. Surprisingly, such talent is...

Researchers develop Genomepy which helps you to get the right Genomic Data for your analysis

AI Paper Summary
In biological research, data analysis is becoming increasingly important. Any researcher will require external information such as a reference genome or a specific gene...

Researchers From POSTECH And NVIDIA Created Two Large-Scale Implicit Datasets, Namely PeRFception-CO3D and PeRFception-ScanNet, That Cover Object-Centric And Scene-Centric Environments

AI Paper Summary
In recent years, advances in implicit representations have shown tremendous accuracy, variety, and resilience in expressing 3D scenes by mapping low dimensional coordinates to...

Researchers from UC Berkeley and Amazon Introduce an Unsupervised AI Method for Synthesizing Realistic Photos from Scene Sketches

AI Paper Summary
Sketching is a natural means of representing visual signals. With a few light strokes, humans could understand and envision a photo from a sketch....
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