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.

Google AI Researchers Propose a Method for Highly Efficient and Stable Training of a 22B-Parameter ViT (ViT-22B)

AI Paper Summary
Transferring pre-trained vision backbones has enhanced performance on various vision tasks, much like natural language processing. Larger datasets, scalable infrastructures, and innovative training techniques...

CMU Researchers Unveil An AI System for Human-like Text-to-Speech Training with Diverse Speech

AI Paper Summary
Synthesizing human-level speech is essential to Artificial Intelligence (AI), notably in conversational bots. Recent developments in deep learning have significantly improved the quality of...

Researchers at NYU Propose A New Fine-Grained Vision And Language Understanding Task (CPD) And Associated Benchmark – TRICD For Object Detection

AI Shorts
An important goal in the study of computer vision is to comprehend visual situations. Over the years, several proxy tasks—from picture-level tasks like classification...

Runway Researchers Unveil Gen-1: A New Generative AI Model That Uses Language And Images To Generate New Videos Out of Existing Ones

AI Shorts
The current media environment is filled with visual effects and video editing. As a result, as video-centric platforms have gained popularity, demand for more...

A New AI Research Proposes an Effective Optimization Method of Adaptive Column-Wise Clipping (CowClip) that Reduces CTR Prediction Model Training Time from 12 Hours...

AI Paper Summary
Online commerce, video applications, and web adverts see much clicking as the Internet, and the e-economy grow. The amount of click samples in a...

Meet MOSE: A New Dataset for Video Object Segmentation in Complex Scenes

AI Paper Summary
One of the most fundamental and difficult computer vision problems is essential for many illegal applications, including video analysis and comprehension, including self-driving cars,...

Google Research Introduces An Extension of PyGlove: A General Purpose Python Library That Can Now Easily And Scalably Share Machine Learning Ideas As Code

AI Paper Summary
Over the past few years, machine learning (ML) partnerships have grown significantly in scale, making it more challenging to share code efficiently. Multiple scholars...

Streamlining Large Model Training Through Dataset Distillation by Compressing Huge Datasets to Small Number of Informative Synthetic Examples

AI Paper Summary
Over the past few years, deep learning has had remarkable success in several industries, including speech recognition, computer vision, and natural language processing. Whether...

A New Artificial Intelligence Method Called Synthetic Prompting Leverages The Large Language Models LLMs’ Own Knowledge And Generative Power For Improving LLMs’ Reasoning

AI Paper Summary
Large Language Models (LLMs) can complete various tasks without the need for fine-tuning with the help of few-shot demos or samples of the inputs...

A New AI Research From MIT Reduces Variance in Denoising Score-Matching, Improving Image Quality, Stability, and Training Speed in Diffusion Models

AI Paper Summary
Diffusion models have recently produced outstanding results on various generating tasks, including the creation of images, 3D point clouds, and molecular conformers. Ito stochastic...

Meet AudioLDM: A Latent Diffusion Model For Audio Generation That Trains On AudioCaps With A Single GPU And Achieves SOTA Text-To-Audio (TTA) Performance

Applications
For many applications, like augmented and virtual reality, game creation, and video editing, it is crucial to produce sound effects, music, or speech by...

A New Artificial Intelligence Research Proposes ExaRanker: Exploring the Role of Natural Language Explanations in Improving Information Retrieval Models

AI Shorts
Information retrieval (IR) problems saw considerable improvements to trained transformers like BERT and T5, refined on millions of cases. A model is expected to...
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