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 the University of Wisconsin–Madison Propose Eventful Transformers: A Cost-Effective Approach to Video Recognition with Minimal Loss in Accuracy

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Transformers originally intended for language modeling have lately been investigated as a possible architecture for vision-related tasks. With state-of-the-art performance in applications including object...

Alibaba Researchers Introduce the Qwen-VL Series: A Set of Large-Scale Vision-Language Models Designed to Perceive and Understand Both Text and Images

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Large Language Models (LLMs) have lately drawn a lot of interest because of their powerful text creation and comprehension abilities. These models have significant...

S-Lab and NTU Researchers Propose Scenimefy: A Novel Semi-Supervised Image-to-Image Translation Framework that Bridges the Gap in Automatic High-Quality Anime Scene Rendering from Real-World...

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Anime sceneries need a great deal of creative talent and time to create. Hence, the development of learning-based methods for automatic scene stylization has...

Researchers from UCL and Google Propose AudioSlots: A Slot-Centric Generative Model For Audio Domain Blind Source Separation

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The use of neural networks in architectures that operate on set-structured data and learn to map from unstructured inputs to set-structured output spaces has...

This AI Paper Proposes Blending-NeRF that Consists of Pretrained NeRF and Editable NeRF for Text-Driven Localized 3D Object Editing

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Industries, including painting, product design, and animation, are being significantly impacted by 3D image synthesis and associated technologies. Although new methods of 3D image...

Meet LegalBench: A Collaboratively Constructed Open-Source AI Benchmark for Evaluating Legal Reasoning in English Large Language Models

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American attorneys and administrators are reevaluating the legal profession due to advances in large language models (LLMs). According to its supporters, LLMs might change...

Evaluating the Potential for Consciousness in AI: A Scientific Exploration of Indicator Properties Based on Neuro-Scientific Theories

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The possibility of conscious AI systems is a hot topic right now. Top researchers are drawing inspiration from brain processes related to human consciousness...

This AI Paper Proposes MATLABER: A Novel Latent BRDF Auto-Encoder for Material-Aware Text-to-3D Generation

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The development of 3D assets is essential for many commercial applications, including gaming, cinema, and AR/VR. Several labor-intensive and time-consuming steps are required in...

DeepMind Researchers Introduce Reinforced Self-Training (ReST): A Simple algorithm for Aligning LLMs with Human Preferences Inspired by Growing Batch Reinforcement Learning (RL)

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Large language models (LLMs) are outstanding at producing well-written content and resolving various linguistic problems. These models are trained using vast volumes of text...

Researchers from Microsoft and Hong Kong Baptist University Introduce WizardCoder: A Code Evol-Instruct Fine-Tuned Code LLM

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Large Language Models (LLMs) have recently attracted much interest and achieved remarkable success. OpenAI's ChatGPT, in particular, stands out as a notable example. These...

Meet CoDeF: An Artificial Intelligence (AI) Model that Allows You to do Realistic Video Style Editing, Segmentation-Based Tracking and Video Super-Resolution

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The strength of generative models trained on big datasets, producing excellent quality and precision, has enabled the area of image processing to make significant...

Revolutionizing Real-Time 1080p Novel-View Synthesis: A Breakthrough with 3D Gaussians and Visibility-Aware Rendering

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Meshes and points are the most common 3D scene representations because they are explicit and are a good fit for fast GPU/CUDA-based rasterization. In...
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