Pragati Jhunjhunwala, Author at MarkTechPost

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.

Researchers from UCSD and Microsoft Introduce ColDeco: A No-Code Inspection Tool for Calculated Columns

AI ShortsOctober 21, 2023

In the paper “COLDECO: An End User Spreadsheet Inspection Tool for AI-Generated Code,” a team of researchers from UCSD and Microsoft have introduced an...

KAIST Researchers Propose SyncDiffusion: A Plug-and-Play Module that Synchronizes Multiple Diffusions through Gradient Descent from a Perceptual Similarity Loss

AI ShortsOctober 20, 2023

In a recent research paper, a team of researchers from KAIST introduced SYNCDIFFUSION, a groundbreaking module that aims to enhance the generation of panoramic...

Unlocking AI Transparency: How Anthropic’s Feature Grouping Enhances Neural Network Interpretability

AI ShortsOctober 16, 2023

In a recent paper, "Towards Monosemanticity: Decomposing Language Models With Dictionary Learning," researchers have addressed the challenge of understanding complex neural networks, specifically language...

This AI Paper Proposes a NeRF-based Mapping Method that Enables Higher-Quality Reconstruction and Real-Time Capability Even on Edge Computers

AI ShortsOctober 15, 2023

In this paper, researchers have introduced a NeRF-based mapping method called H2-Mapping, aimed at addressing the need for high-quality, dense maps in real-time applications,...

Microsoft Researchers Introduce SpaceEvo: A Game-Changer for Designing Ultra-Efficient and Quantized Neural Networks for Real-World Devices

UncategorizedOctober 13, 2023

In the realm of deep learning, the challenge of developing efficient deep neural network (DNN) models that combine high performance with minimal latency across...

Researchers from Microsoft and ETH Zurich Introduce HoloAssist: A Multimodal Dataset for Next-Gen AI Copilots for the Physical World

AI ShortsOctober 12, 2023

In the field of artificial intelligence, a persistent challenge has been developing interactive AI assistants that can effectively navigate and assist in real-world tasks....

UC Berkeley and UCSF Researchers Revolutionize Neural Video Generation: Introducing LLM-Grounded Video Diffusion (LVD) for Improved Spatiotemporal Dynamics

AI ShortsOctober 9, 2023

In response to the challenges faced in generating videos from text prompts, a team of researchers has introduced a new approach called LLM-grounded Video...

Researchers at MIT and Harvard Unveil a Revolutionary AI-Based Computational Approach: Efficiently Pinpointing Optimal Genetic Interventions with Fewer Experiments

AI ShortsOctober 6, 2023

In the field of cellular reprogramming, researchers face the challenge of identifying optimal genetic perturbations to engineer cells into new states, a promising technique...

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