Author: Pragati Jhunjhunwala

Pragati Jhunjhunwala
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Pragati Jhunjhunwala is a consulting intern at MarktechPost. She is currently pursuing her B.Tech from the Indian Institute of Technology(IIT), Kharagpur. She is a tech enthusiast and has a keen interest in the scope of software and data science applications. She is always reading about the developments in different field of AI and ML.

This AI Paper from MIT Introduces a Novel Approach to Robotic Manipulation: Bridging the 2D-to-3D Gap with Distilled Feature Fields and Vision-Language Models

A team of researchers from MIT and the Institute of AI and Fundamental Interactions (IAIFI) has introduced a groundbreaking framework for robotic manipulation, addressing...

This AI Paper from MIT Explores the Scaling of Deep Learning Models for Chemistry Research

Researchers from MIT investigated the scaling behavior of large chemical language models, focusing on both generative pre-trained transformers (GPT) for chemistry (ChemGPT) and graph...

Researcher from Google Quantum AI Achieves Breakthrough in Leakage Management for Scalable Quantum Error Correction

In a recent publication in Nature Physics, researchers from Google Quantum AI and other Institutes addressed a critical challenge in quantum computing: the susceptibility...

A New Microsoft AI Research Proposes HMD-NeMo: A New Approach that Addresses Plausible and Accurate Full Body Motion Generation Even When the Hands may...

In the realm of immersive experiences in mixed-reality scenarios, generating accurate and plausible full-body avatar motion has been a persistent challenge. Existing solutions relying...

This AI Paper Introduces the GraphGPT Framework: Enhancing Graph Neural Networks with Large Language Model Techniques for Superior Zero-Shot Learning Performance

In the recent study “GraphGPT: Graph Instruction Tuning for Large Language Models,” researchers have addressed a pressing issue in the field of natural language...

Can this Chinese AI Model Surpass ChatGPT and Claude2? Meet the Baichuan2-192k Model Unveiled by this Chinese startup ‘Baichuan Intelligent’ with the Longest Context...

In the race for AI supremacy, a Chinese AI start-up, Baichuan Intelligent, has unveiled its latest large language model, the Baichuan2-192K, setting new benchmarks...

This AI Paper from the University of Tokyo has Applied Deep Learning to the Problem of Supernova Simulation

Researchers from the University of Tokyo have developed a deep learning model called 3D-Memory In Memory (3D-MIM) to predict the expansion of a supernova...

This AI Research from China Introduces ‘Woodpecker’: An Innovative Artificial Intelligence Framework Designed to Correct Hallucinations in Multimodal Large Language Models (MLLMs)

Researchers from China have introduced a new corrective AI framework called Woodpecker to address the problem of hallucinations in Multimodal Large Language Models (MLLMs)....

Is ConvNet Making a Comeback? Unraveling Their Performance on Web-Scale Datasets and Matching Vision Transformers

Researchers have challenged the prevailing belief in the field of computer vision that Vision Transformers (ViTs) outperform Convolutional Neural Networks (ConvNets) when given access...

NYU Researchers have Created a Neural Network for Genomics that can Explain How it Reaches its Predictions

In the world of biological research, machine-learning models are making significant strides in advancing our understanding of complex processes, with a particular focus on...

Researchers at Northwestern University have Proposed a Groundbreaking Machine-Learning Framework for off-grid Medical Data Classification Cutting AI Energy Use by 99%

In a recent development, Researchers at Northwestern University have proposed a groundbreaking machine learning framework for off-grid medical data classification and diagnosis, particularly in...

Meet LAMP: A Few-Shot AI Framework for Learning Motion Patterns with Text-to-Image Diffusion Models

In a recent study, researchers have introduced a groundbreaking few-shot-based tuning framework called LAMP, designed to address the challenge of text-to-video (T2V) generation. While...

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