Author: 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.

Decoding Complex AI Models: Purdue Researchers Transform Deep Learning Predictions into Topological Maps

AI Shorts
The highly parameterized nature of complex prediction models makes describing and interpreting the prediction strategies difficult. Researchers have introduced a novel approach using topological...

Meet Mustango: A Music Domain-Knowledge-Inspired Text-to-Music System based on Diffusion that Expands the Tango Text-to-Audio Model

AI Shorts
In the realm of text-to-music synthesis, the quality of generated content has been advancing, but the controllability of musical aspects remains unexplored. A team...

Researchers from Nankai University and ByteDance Introduce ‘ChatAnything’: A Novel AI Framework Dedicated to the Generation of LLM-Enhanced Personas

AI Shorts
A team of researchers from Nankai University and ByteDance introduced a novel framework called ChatAnything, designed to generate anthropomorphized personas for large language model...

This AI Research Helps Microbiologists to Identify Bacteria

AI Shorts
A new AI research presents DeepColony, a comprehensive framework for colony identification and analysis in microbiology laboratories. The system utilizes high-resolution digital scans of...

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

AI Shorts
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

AI Shorts
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

Editors Pick
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...

AI Shorts
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

AI Shorts
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...

AI Shorts
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

AI Shorts
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)

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