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.

Researchers from Columbia University and Apple Introduce Ferret: A Groundbreaking Multimodal Language Model for Advanced Image Understanding and Description

AI Shorts
How to facilitate spatial knowledge of models is a major research issue in vision-language learning. This dilemma leads to two required capabilities: referencing and...

Meet 3D-GPT: An Artificial Intelligence Framework for Instruction-Driven 3D Modelling that Makes Use of Large Language Models (LLMs)

AI Shorts
Using meticulously detailed models, 3D content production in the metaverse age redefines multimedia experiences in gaming, virtual reality, and film industries. However, designers frequently...

Revolutionizing Video Object Segmentation: Unveiling Cutie with Advanced Object-Level Memory Reading Techniques

AI Shorts
Tracking and segmenting objects from an open vocabulary defined in a first-frame annotation is necessary for Video Object Segmentation (VOS), more precisely, the "semisupervised"...

Meet FourCastNet: A Global Data-Driven Weather Forecasting Model Revolutionizing Weather Predictions with Fast and Accurate Deep Learning Approach

AI Paper Summary
In the 1920s, numerical weather prediction (NWP) emerged. They are pervasive and help with economic planning in important industries, including transportation, logistics, agriculture, and...

Researchers from Yale and Google DeepMind Unlock Math Problem-Solving Success with Advanced Fine-Tuning Techniques on Large Language Models

Applications
Even the most advanced large language models (LLMs), such as GPT-4 and PaLM 2, find it difficult to solve mathematical issues since they call...

Researchers from Google and the University of Toronto Introduce Groundbreaking Zero-Shot Agent for Autonomous Learning and Task Execution in Live Computer Environments

AI Shorts
Large language models (LLMs) for action production in various live contexts, such as ALFWORLD and ALPHACODE, have shown promise in earlier efforts. Examples include...

Researchers from CMU and UC Santa Barbara Propose Innovative AI-Based ‘Diagnosis of Thought’ Prompting for Cognitive Distortion Detection in Psychotherapy

AI Shorts
In the entire world, about one in eight persons have mental problems. However, mental health disorders are significantly underserved for various reasons, such as...

MIT Researchers Introduce a New Training-Free and Game-Theoretic AI Procedure for Language Model Decoding

AI Shorts
A few tasks requiring the creation or verification of factual assertions—such as question answering, fact-checking, and even the generation of unconditional text—are relatively successfully...

Meet OmniControl: An Artificial Intelligence Approach for Incorporating Flexible Spatial Control Signals into a Text-Conditioned Human Motion Generation Model Based on the Diffusion Process

AI Shorts
Researchers address the issue of combining spatial control signals over every joint at any given time into text-conditioned human motion production. Modern diffusion-based techniques...

Demystifying Generative Artificial Intelligence: An In-Depth Dive into Diffusion Models and Visual Computing Evolution

AI Shorts
To combine computer-generated visuals or deduce the physical characteristics of a scene from pictures, computer graphics, and 3D computer vision groups have been working...

Meet SwimXYZ: A Synthetic Dataset of Swimming Motions and Videos Containing 3.4M Frames Annotated with Ground Truth 2D and 3D Joints

AI Shorts
Human motion capture has emerged as a key tool in various industries, including sports, medical, and character animation for the entertainment sector. Motion capture...

Are Pre-Trained Foundation Models the Future of Molecular Machine Learning? Introducing Unprecedented Datasets and the Graphium Machine Learning Library

AI Shorts
The recent results of machine learning in drug discovery have been largely attributed to graph and geometric deep learning models. These techniques have proven...
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