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.

PDEBENCH: A Benchmark Suite of Time-Dependent Simulation to Benchmark The Performance of Novel Machine Learning Models

AI Paper Summary
Recent advances in the emerging field of Scientific Machine Learning (also known as machine learning for physical sciences or data-driven science) have expanded the...

Baidu AI Researchers Propose ERNIE-ViLG 2.0, A Large-Scale Chinese Text-To-Image Diffusion Model That Gradually Improves Image Quality

AI Shorts
The text-to-image generation has come a long way in recent years. Text-to-image generation models that use large-scale training data and model parameters can now...

A New MLOps System Called ALaaS (Active-Learning-as-a-Service) Adopts the Philosophy of Machine-Learning-as-Service and Implements a Server-Client Architecture

AI Paper Summary
Data-centric AI is a new topic focusing on engineering data to create AI applications using off-the-shelf machine learning (ML) models. Previous efforts have primarily...

Latest Computer Vision Research Proposes ‘NeRFPlayer,’ A Streamable Dynamic Scene Representation with Decomposed Neural Radiance Fields

AI Paper Summary
Using Neural Radiance Fields (NeRF) to represent scenes has made strides in 3D reconstruction and analysis. After a brief training period, high-fidelity real-time depiction...

Researchers at Georgia Tech Propose ‘LABOR’ (LAyer-neighBOR sampling), A New Sampling Algorithm-Based on Machine Learning

AI Paper Summary
The de facto models for representation learning on graph-structured data are Graph Neural Networks (GNN). As a result, they have begun to be implemented...

Researchers From China Propose DIFFUSEQ: A Diffusion Model Designed For Sequence-To-Sequence (SEQ2SEQ) Text Generation Tasks

AI Paper Summary
Existing generative models, such as GAN, VAE, and flow-based models, suffer from mode collapse and must rely on surrogate objectives to approximate maximum likelihood...

Latest Machine Learning Research at Apple Considers the Learning of Logical Functions with Gradient Descent (GD) on Neural Networks

AI Paper Summary
The pointer value retrieval (PVR) benchmark was recently established by researchers in the paper titled Pointer Value Retrieval: A novel benchmark for exploring the...

Latest Machine Learning Research Proposes ‘TabPFN,’ A Trained Transformer That Can Do Supervised Classification For Small Tabular Datasets In Less Than A Second

AI Paper Summary
Despite being the most frequent data format in real-world machine learning (ML) applications, tabular data, which consists of categorical and numerical characteristics, has long...

Deepkapha AI Researchers Propose ‘VeerNet,’ A Novel Transformer-Based Deep Learning Network That Uses Self-Attention Processes To Recognize Distinct Curves From A Single Track

Deep Learning
Well-logging is the process of using drilling instruments to take measurements of various rock qualities throughout the length of a well down into the...

Artificial Intelligence (AI) Researchers at Standford Propose S4ND, a New Deep Layer Based on S4 that Extends SSMs’ Capacity to Simulate Continuous Signals to...

AI Paper Summary
Visual data modeling, such as photographs and videos, is a canonical problem in deep learning. Many current deep learning backbones with good performance on...

Deepmind Researchers Propose A Machine Learning-Based Framework For Doing Research On Hour-Long Films Using The Same Technology That Can Presently Analyze Second-Long Videos

AI Paper Summary
Raw movies are massive and must be compressed before being saved on a disc; once loaded, they are decompressed and placed in device memory...

Latest Machine Learning Research At Apple Proposes ‘DD-GloVe,’ A Train-Time Debiasing Algorithm To Learn Word Embeddings By Leveraging Dictionary Definitions

AI Paper Summary
Word embeddings can capture semantic and syntactic similarities between words meaningfully. Word2Vec, GloVe, and FastText are popular embeddings. Despite the growing popularity of contextual...
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