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.

Researchers from CMU and UC Santa Barbara Propose Innovative AI-Based ‘Diagnosis of Thought’ Prompting for Cognitive Distortion Detection in Psychotherapy

In the entire world, about one in eight persons have mental problems. However, mental health disorders are significantly underserved for various reasons, such as...

MIT Researchers Introduce a New Training-Free and Game-Theoretic AI Procedure for Language Model Decoding

A few tasks requiring the creation or verification of factual assertions—such as question answering, fact-checking, and even the generation of unconditional text—are relatively successfully...

Meet OmniControl: An Artificial Intelligence Approach for Incorporating Flexible Spatial Control Signals into a Text-Conditioned Human Motion Generation Model Based on the Diffusion Process

Researchers address the issue of combining spatial control signals over every joint at any given time into text-conditioned human motion production. Modern diffusion-based techniques...

Demystifying Generative Artificial Intelligence: An In-Depth Dive into Diffusion Models and Visual Computing Evolution

To combine computer-generated visuals or deduce the physical characteristics of a scene from pictures, computer graphics, and 3D computer vision groups have been working...

Meet SwimXYZ: A Synthetic Dataset of Swimming Motions and Videos Containing 3.4M Frames Annotated with Ground Truth 2D and 3D Joints

Human motion capture has emerged as a key tool in various industries, including sports, medical, and character animation for the entertainment sector. Motion capture...

Are Pre-Trained Foundation Models the Future of Molecular Machine Learning? Introducing Unprecedented Datasets and the Graphium Machine Learning Library

The recent results of machine learning in drug discovery have been largely attributed to graph and geometric deep learning models. These techniques have proven...

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...