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.

In a Latest Machine Learning Research, Researchers Question the Ease of Leaking Data from Inverting Gradient Highlighting Dropout is not Enough to Prevent Leakage

AI Paper Summary
To develop a shared machine learning model, federated learning algorithms were created to take advantage of the cooperative usage of dispersed data. Systemic privacy...

Researchers created a Novel Framework called ‘FedD3’ for Federated Learning in Resource-Constrained Edge Environments via Decentralized Dataset Distillation

AI Paper Summary
For collaborative learning in large-scale distributed systems with a sizable number of networked clients, such as smartphones, connected cars, or edge devices, federated learning...

Apple Researchers Develop NeuMan: A Novel Computer Vision Framework that can Generate Neural Human Radiance Field from a Single Video

AI Paper Summary
Neural Radiance Fields (NeRF) were first developed, greatly enhancing the quality of new vision synthesis. It was first suggested as a way to rebuild...

Researchers from the Alibaba Group added their newly developed ‘YOLOX-PAI’ into EasyCV, which is an all-in-one Computer Vision Toolbox

AI Paper Summary
One of the most well-known one-stage object detection techniques is YOLOX, which is often utilized in various fields, including automated driving and defect checking....

Researchers at Apple developed Fairness Optimized Reweighting via Meta-Learning (FORML), a Machine Learning Training Algorithm that balances Fairness and Robustness with Accuracy by jointly...

AI Paper Summary
Deep neural networks are used in machine learning applications such as image classification, audio recognition, natural language comprehension, and healthcare. Despite modern DNN architectures'...

Facebook AI Researchers Open-Source ‘LLM.int8()’ Tool To Perform Inference In Large Language Models (LLMs) With Up To 175B Parameters Without Any Performance Degradation

AI Paper Summary
Large pretrained language models are frequently used in NLP, although inference requires substantial memory. The feed-forward and attention projection layers, along with associated matrix...

Meet ‘OcrPy,’ A Python Library To Let Users OCR, Archive, Index, And Search Any Documents With Ease

Applications
OCR, or optical character recognition, is one of the major computer vision applications. We frequently find ourselves taking images of documents to send to...

Researchers at Oxford University Propose a Machine Learning Framework Called ‘TriSegNet’ Based on Triple-View Feature Learning for Medical Image Segmentation

AI Paper Summary
Deep learning's potential performance for medical imaging depends not only on the design of the network architecture but also on the availability of a...

Researchers Present A Survey Report on Using 100+ Transformer-based Methods in Computer Vision for Different 3D Vision Tasks

AI Paper Summary
Understanding sceneries and objects in three-dimensional space are critical in computer vision. Autonomous driving, robotics, remote sensing, medical treatment, augmented reality, and the design...

Research From China Propose a Novel Context-Aware Vision Transformer (CA-ViT) For Ghost-Free High Dynamic Range Imaging

AI Paper Summary
By fusing much low dynamic range (LDR) photographs with different exposures, multi-frame high dynamic range (HDR) imaging tries to provide images with a more...

Apple ML Researchers Propose A Self-Supervised Method For Learning Representations of Geographic Locations From Unlabeled GPS Trajectories to Solve Downstream Geospatial Computer Vision Tasks

Apple
Graphs are fundamental data structures in many fields spanning vast applications, be it recommendation systems, communication, social, or biological networks. Road networks, point clouds,...

Researchers From Italy Introduce ‘ferret’: A Novel Python Library for Benchmarking Explainers on Transformers

AI Paper Summary
Explainable AI (XAI) has seen steady growth in recent years. Innovative methods include calculating Shapley Values, quantifying backward pass gradients, occluding input sections, counterfactual...
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