Author: 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.

Can One AI Model Master All Audio Tasks? Meet UniAudio: A New Universal Audio Generation System

AI Shorts
A key aspect of generative AI is audio generation. In recent years, the popularity of generative AI has led to increasingly diverse and emerging...

This AI Research Proposes SMPLer-X: A Generalist Foundation Model for 3D/4D Human Motion Capture from Monocular Inputs

AI Shorts
The animation, gaming, and fashion sectors may all benefit from the cutting-edge field of expressive human pose and shape estimation (EHPS) from monocular photos...

Researchers from Google and John Hopkins University Reveal a Faster and More Efficient Distillation Method for Text-to-Image Generation: Overcoming Diffusion Model Limitations

AI Paper Summary
By producing high-quality and varied outcomes, text-to-image diffusion models trained on large-scale data have considerably dominated generative tasks. In a recently developed trend, typical...

Researchers from the University of Manchester Introduce MentalLLaMA: The First Open-Source LLM Series for Readable Mental Health Analysis with Capacity of Instruction Following

Uncategorized
PTSD and other mental health issues have an impact on public health globally. Due to stigma, many individuals do not promptly seek psychiatric assistance,...

How Can We Efficiently Deploy Large Language Models in Streaming Applications? This AI Paper Introduces the StreamingLLM Framework for Infinite Sequence Lengths

AI Shorts
Large Language Models (LLMs) are increasingly used to power natural language processing applications, including code completion, question answering, document summarization, and dialogue systems. Pretrained...

Breaking Boundaries in 3D Instance Segmentation: An Open-World Approach with Improved Pseudo-Labeling and Realistic Scenarios

AI Shorts
By providing object instance-level classification and semantic labeling, 3D semantic instance segmentation tries to identify items in a given 3D scene represented by a...

Overcoming Hallucinations in AI: How Factually Augmented RLHF Optimizes Vision-Language Alignment in Large Multimodal Models

AI Shorts
By additional pre-training using image-text pairings or fine-tuning them with specialized visual instruction tuning datasets, Large Language Models may dive into the multimodal domain,...

Researchers from China Unveil ImageReward: A Groundbreaking Artificial Intelligence Approach to Optimizing Text-to-Image Models Using Human Preference Feedback

AI Shorts
Recent years have seen tremendous developments in text-to-image generative models, including auto-regressive and diffusion-based methods. These models can produce high-fidelity, semantically relevant visuals on...

Researchers from ETH Zurich and Microsoft Introduce SCREWS: An Artificial Intelligence Framework for Enhancing the Reasoning in Large Language Models

AI Shorts
Large Language Models (LLMs) have succeeded in several different reasoning tasks. To guarantee that the intended aim is met, it is sometimes required to...

Meet Text2Reward: A Data-Free Framework that Automates the Generation of Dense Reward Functions Based on Large Language Models

AI Shorts
Reward shaping, which seeks to develop reward functions that more effectively direct an agent towards desirable behaviors, is still a long-standing difficulty in reinforcement...

Microsoft AI Research Proposes a New Artificial Intelligence Framework for Collaborative NLP Development (CoDev) that Enables Multiple Users to Align a Model with Their...

AI Shorts
Although NLP models have demonstrated extraordinary strengths, they have challenges. The need to teach these models ideas is highlighted by unacceptable values buried in...

Researchers from China Introduce DualToken-ViT: A Fusion of CNNs and Vision Transformers for Enhanced Image Processing Efficiency and Accuracy

AI Shorts
In recent years, vision transformers (ViTs) have become a potent architecture for various vision applications, including object identification and picture classification. This is because,...
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