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 Develop a Framework that Emphasizes Developing Realistic AI Strategies, Data Requirements, and a Human AI Symbiosis for Photovoltaics Energy SMEs

Due to the severe environmental damage caused by traditional fossil fuel exploitation, the global shift to renewable energy sources has assumed critical importance in...

Microsoft’s New AI Model, VALL-E, Can Generate Speech From Text Using Only A Three-Second Audio Sample

Through the advancement of neural networks and end-to-end modeling, the field of voice synthesis has made significant strides during the past ten years. Currently,...

This Artificial Intelligence (AI) Paper Introduces HyperReel: A Novel 6-DoF Video Representation

Videos with six degrees of freedom (6-DoF) let viewers freely explore an area by allowing them to adjust their head position (3 degrees of...

Google AI Introduces Muse: A Text-To-Image Generation/Editing Model via Masked Generative Transformers

In recent years, there has been significant progress in developing generative image models that produce high-quality images based on text prompts. This has been...

Point-Based Neural Rendering With Neural Point Catacaustics For Interactive Free-Viewpoint Reflection Flow

The visual quality of recent neural rendering techniques is outstanding when used for free-viewpoint rendering of recorded scenes. Such scenes frequently have significant high-frequency...

DynamicViz: A Framework for Generating Dynamic Visualizations of High-Dimensional Data Using Dimensionality Reduction Techniques

Dimensionality reduction (DR) is a method for analyzing high-dimensional data that involves minimizing the number of variables taken into account. Data visualization in two...

This AI Paper Introduces An Event-Based Vehicle Detection Framework And A Tracking Dataset

Neuromorphic event-based vision is a growing field that involves using event cameras, which capture brightness changes independently at each pixel rather than recording color...

Researchers Develop Techniques Using Machine Learning to Predict the Electronic Band Structure of Materials from Band Mapping Data

The band structure of a material describes the energy levels that electrons in the material can occupy and is important for understanding its physical...

This AI Research Presents DisCoScene: A 3D-Aware Generative Model For High-Quality And Controllable Scene Synthesis

Synthesis of 3D images from a single view In generative modeling, 2D data has gained popularity. Recent methods like GRAF and Pi-GAN incorporate 3D...

This Artificial Intelligence (AI) Study From the UK Presents A GPT-3 Like Language Model That Can Simulate A Patient’s Health Predictions Using EHRs

Most information regarding each patient's health condition and clinical history kept in Electronic Health Records (EHRs) is recorded in clinical notes inside the unstructured...

This AI Paper Presents A Deep Learning Framework To Accurately Identify The Mineral Compounds From Their Raman Spectra

Specific optical methods, including Fourier-transform infrared (FTIR), Brillouin scattering, and Raman spectroscopy, are used in vibrational spectroscopy. Classification models can convert input items (spectra)...

Meet PointAvatar: An Artificial Intelligence (AI) Method That Creates Deformable Point-Based Head Avatars From Videos

Avatars uniquely created in 3D are essential elements of the metaverse and beyond. Avatar creation software should make it simple to collect data, compute...