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.

Meet ResFields: A Novel AI Approach to Overcome the Limitations of Spatiotemporal Neural Fields in Effectively Modeling Long and Complex Temporal Signals

AI Shorts
The most popular neural network architecture for representing neural continuous spatiotemporal fields, also known as neural fields, is the multi-layer perceptron. This is because...

This AI Research Proposes DISC-MedLLM: A Comprehensive Solution that Leverages Large Language Models (LLMs) to Provide Accurate Medical Response

AI Shorts
The rise of telemedicine has changed how healthcare is provided, opening up professional networks, lowering prices, and allowing for distant medical consultations. Additionally, intelligent...

Researchers from Microsoft Introduce Hydra-RLHF: A Memory-Efficient Solution for Reinforcement Learning with Human Feedback

AI Shorts
Since becoming well known, the ChatGPT, GPT-4, and Llama-2 family models have won over users with their versatility as useful aides for various jobs....

Meet LLaSM: An End-to-End Trained Large Multi-Modal Speech-Language Model with Cross-Modal Conversational Abilities Capable of Following Speech-and-Language Instructions

AI Shorts
Speech carries more information than writing since it takes semantic and paralinguistic information like tone. Additionally, speaking is a more practical and organic approach...

Rethinking Academic Integrity in the AI Era: A Comparative Analysis of ChatGPT and University Students in 32 Courses

AI Shorts
Artificial intelligence (AI) that generates new content using machine learning algorithms to build on previously created text, audio, or visual information is known as...

Do Flamingo and DALL-E Understand Each Other? Exploring the Symbiosis Between Image Captioning and Text-to-Image Synthesis Models

AI Shorts
Multimodal research that enhances computer comprehension of text and visuals has made major strides recently. Complex verbal descriptions from real-world settings may be translated...

This Artificial Intelligence AI Research Proposes SAM-Med2D: The Most Comprehensive Studies on Applying SAM to Medical 2D Images

AI Shorts
By recognizing and separating different tissues, organs, or regions of interest, medical image segmentation is essential to studying medical pictures. For more exact diagnosis...

Researchers from ByteDance and UCSD Propose a Multi-View Diffusion Model that is Able to Generate a Set of Multi-View Images of an Object/Scene from...

AI Shorts
Despite being a crucial stage in the contemporary gaming and media industry's pipeline, creating 3D content is time-consuming, requiring skilled designers to put in...

This AI Paper Introduces the Complexity-Impacted Reasoning Score (CIRS): Evaluating the Role of Code Complexity in Enhancing the Reasoning Abilities of Large Language Models

AI Shorts
Large language models (LLMs) have become a general-purpose approach to embodied artificial intelligence problem-solving. When agents need to understand the semantic nuances of their...

Meet AnomalyGPT: A Novel IAD Approach Based on Large Vision-Language Models (LVLM) to Detect Industrial Anomalies

AI Shorts
On various Natural Language Processing (NLP) tasks, Large Language Models (LLMs) such as GPT-3.5 and LLaMA have displayed outstanding performance. The capacity of LLMs...

Microsoft Researchers Propose Open-Vocabulary Responsible Visual Synthesis (ORES) with the Two-Stage Intervention Framework

AI Shorts
Visual synthesis models may produce increasingly realistic visuals thanks to the advancement of large-scale model training. Responsible AI has grown more crucial due to...

This AI Research Addresses the Problem of ‘Loss of Plasticity’ in Deep Learning Systems When Used in Continual Learning Settings

AI Shorts
Modern deep-learning algorithms are now focused on problem environments where training occurs just once on a sizable data collection, never again—all of the early...
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