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.

This AI Research Proposes TeCH to Reconstruct a Lifelike 3D Clothed Human from a Single Image with Detailed Full-Body Geometry and High-Quality Texture

High-fidelity For many augmented and virtual reality applications, including gaming, social networking, education, e-commerce, and immersive telepresence, 3D digital persons are essential. Many methods...

This AI Paper Aims to Transfer the Hand Motion Semantics Amongst Avatars Based on Each of their Hand Models

In various virtual avatar contexts, including co-speech and sign language synthesis, the production of realistic hand gestures has shown promise. Human hands, the main...

This AI Paper Introduces A Comprehensive RDF Dataset With Over 26 Billion Triples Covering Scholarly Data Across All Scientific Disciplines

Keeping up with recent research is becoming increasingly difficult due to the rise of scientific publications. For instance, more than 8 million scientific articles...

Microsoft Researchers Introduce SpeechX: A Versatile Speech Generation Model Capable of Zero-Shot TTS and Various Speech Transformation Tasks

Multiple machine learning applications, including text, vision, and audio, have seen rapid and significant developments in the technology of generative models. The industry and...

Google DeepMind Researchers Propose 6 Composable Transformations to Incrementally Increase the Size of Transformer-based Neural Networks while Preserving Functionality

Transformer-based neural networks have received much attention lately because they function well. Machine translation, text creation, and question answering are just a few natural...

Salesforce AI Researchers Introduce the Evolution of LLM-Augmented Autonomous Agents and the Innovative BOLAA Strategy

Recent large language model (LLM) accomplishments encourage new research into using LLMs to handle various complicated tasks, with LLM-augmented Autonomous Agents (LAAs) garnering the...

Meet Cheetor: A Transformer-based Multimodal Large Language Models (MLLMs) that can Effectively Handle a Wide Variety of Interleaved Vision-Language Instructions and Achieves State-of-the-Art Zero-Shot...

Through instruction tuning on groups of language tasks with an instructive style, large language models (LLMs) have lately demonstrated exceptional skills in acting as...

Google DeepMind Researchers Introduce SynJax: A Deep Learning Library For JAX Structured Probability Distribution

Data may be viewed as having a structure in various areas that explains how its components fit together to form a greater whole. Depending...

Meet ConDistFL: A Revolutionary Federated Learning Approach for Organ and Disease Segmentation in CT Datasets

Computed tomography (CT) images must accurately segment abdominal organs and tumors for clinical applications like computer-aided diagnosis and treatment planning. A generalized model that...

Researchers from USC and Microsoft Propose UniversalNER: A New AI Model Trained with Targeted Distillation Recognizing 13k+ Entity Types and Outperforming ChatGPT’s NER Accuracy...

ChatGPT and other large language models (LLMs) have shown impressive generalization abilities, but their training and inference costs are often prohibitive. Additionally, white-box access...

Researchers from Meta AI Introduce a New AI Model to Critique Large Language Model Generations

The ability of large language models (LLMs) to generate coherent, contextually relevant, and semantically meaningful text has become increasingly complex. Despite these advancements, LLMs...

Unlocking the Mysteries of Large Language Models: A Deep Dive into Influence Functions and Their Scalability

Large language models (LLMs) have accelerated development in various real-world fields and have shown unexpected emergent skills, including in-context learning and chain-of-thought reasoning. However,...