Author: Aneesh Tickoo

Aneesh Tickoo
463 POSTS0 COMMENTS
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.

This AI Paper from Northeastern University and MIT Develop Interpretable Concept Sliders for Enhanced Image Generation Control in Diffusion Models

Finer control over the visual characteristics and notions represented in a produced picture is typically required by artistic users of text-to-image diffusion models, which...

Microsoft Researchers Introduce Confidential Consortium Framework (CCF): A General-Purpose AI Framework for Developing Secure Stateful CIA Applications

The CIA Trinity, a well-known information security framework, consists of data confidentiality, integrity protection, and high availability. Starting with each attribute, the research team...

Meet ‘DRESS’: A Large Vision Language Model (LVLM) that Align and Interact with Humans via Natural Language Feedback

Big vision-language models, or LVLMs, can interpret visual cues and provide easy replies for users to interact with. This is accomplished by skillfully fusing...

Researchers from Seoul National University Introduce LucidDreamer: A Groundbreaking AI Approach to Domain-Free 3D Scene Generation in VR Using Diffusion-Based Modeling

The development of commercial mixed reality platforms and the quick advancement of 3D graphics technology have made the creation of high-quality 3D scenes one...

This AI Paper from China Introduces ‘Monkey’: A Novel Artificial Intelligence Approach to Enhance Input Resolution and Contextual Association in Large Multimodal Models

Large multimodal models are becoming increasingly popular due to their ability to handle and analyze various data, including text and pictures. Academics have noticed...

Researchers from UCL and Google DeepMind Reveal the Fleeting Dynamics of In-Context Learning (ICL) in Transformer Neural Networks

The capacity of a model to use inputs at inference time to modify its behavior without updating its weights to tackle problems that were...

Meet PhysGaussian: An Artificial Intelligence Technique that Produces High-Quality Novel Motion Synthesis by Integrating Physically Grounded Newtonian Dynamics into 3D Gaussians

Advances in 3D graphics and perception have been demonstrated by recent advances in Neural Radiance Fields (NeRFs). Furthermore, the state-of-the-art 3D Gaussian Splatting (GS)...

This AI Research from China Explores the Illusionary Mind of AI: A Deep Dive into Hallucinations in Large Language Models

Large language models have recently brought about a paradigm change in natural language processing, leading to previously unheard-of advancements in language creation, comprehension, and...

This AI Research Proposes a Fully Automated Solution for Consistent Character Generation with the Sole Input being a Text Prompt

A key component of many creative projects is the capacity of the created visual content to remain consistent across different situations, as seen in...

Microsoft Research Introduces Florence-2: A Novel Vision Foundation Model with a Unified Prompt-based Representation for a Variety of Computer Vision and Vision-Language Tasks

There has been a noticeable trend in Artificial General Intelligence (AGI) systems toward using pre-trained, adaptable representations, which provide task-agnostic advantages in various applications....

This AI Paper Proposes FACTORCL: A New Multimodal Representation Learning Method to Go Beyond Multi-View Redundancy

One of the main paradigms in machine learning is learning representations from several modalities. Pre-training broad pictures on unlabeled multimodal data and then fine-tuning...

Chosun University Researchers Introduce a Machine Learning Framework for Precise Localization of Bleached Corals Using Bag-of-Hybrid Visual Feature Classification

The most diversified marine environment on Earth is said to be found in coral reefs. Over 4,000 kinds of fish may be found in...

🐝 FREE AI Courses on RAG + Deployment of an Healthcare AI App + LangChain Colab Notebook all included

X