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 Presents RoboHive: A Comprehensive Software Platform and Ecosystem for Research in the Field of Robot Learning and Embodied Artificial Intelligence

In recent years, artificial intelligence (AI) advancements have been made, notably in language modeling, protein folding, and gameplay. The development of robot learning has...

Researchers from Stanford and Microsoft Introduce Self-Improving AI: Leveraging GPT-4 to Elevate Scaffolding Program Performance

Almost every aim described in natural language may be optimized by querying a language model. However, a program may frequently provide outputs with greater...

Meet MindGPT: A Non-Invasive Neural Decoder that Interprets Perceived Visual Stimuli into Natural Languages from fMRI Signals

To communicate with others, humans can only use a limited amount of words to explain what they see in the outside world. This adaptable...

Meet PIXART-α: A Transformer-Based T2I Diffusion Model Whose Image Generation Quality is Competitive with State-of-the-Art Image Generators

A new era of photorealistic image synthesis has just begun thanks to the development of text-to-image (T2I) generative models like DALLE 2, Imagen, and...

Is Multilingual AI Truly Safe? Exposing the Vulnerabilities of Large Language Models in Low-Resource Languages

GPT-4 defaults to saying, "Sorry, but I can't help with that," in answer to requests that go against policies or ethical restrictions. Safety training...

Can We Transform Text into Scientific Vector Graphics? This AI Paper Introduces AutomaTikZ and Explains the Power of TikZ

Recent developments in text-to-image generation have made the creation of detailed graphics from straightforward natural language descriptions possible. Results using models like Stable Diffusion...

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

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

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

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

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

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

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...