Author: Nikhil

Nikhil
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Nikhil is an intern consultant at Marktechpost. He is pursuing an integrated dual degree in Materials at the Indian Institute of Technology, Kharagpur. Nikhil is an AI/ML enthusiast who is always researching applications in fields like biomaterials and biomedical science. With a strong background in Material Science, he is exploring new advancements and creating opportunities to contribute.

Researchers from the University of Wisconsin–Madison Unveil ‘SAMPLE’: An Artificial Intelligence Platform for Fully Autonomous Protein Engineering

Protein engineering, a field with wide-ranging applications in chemistry, energy, and medicine, has multiple intricate challenges. Existing methods of engineering new proteins with improved...

This AI Paper from NVIDIA and UC San Diego Unveils a New Breakthrough in 3D GANs: Scaling Neural Volume Rendering for Finer Geometry and...

3D-aware Generative Adversarial Networks (GANs) have made remarkable advancements in generating multi-view-consistent images and 3D geometries from collections of 2D images through neural volume...

This AI Paper Unveils Key Methods to Refine Reinforcement Learning from Human Feedback: Addressing Data and Algorithmic Challenges for Better Language Model Alignment

Reinforcement learning (RL) has applications in various fields, and one such important application can be found in aligning language models with human values. Reinforcement...

Meet Lightning Attention-2: The Groundbreaking Linear Attention Mechanism for Constant Speed and Fixed Memory Use

In sequence processing, one of the biggest challenges lies in optimizing attention mechanisms for computational efficiency. Linear attention has proven to be an efficient...

Meet Parrot: A Novel Multi-Reward Reinforcement Learning RL Framework for Text-to-Image Generation

A pressing issue emerges in text-to-image (T2I) generation using reinforcement learning (RL) with quality rewards. Even though potential enhancement in image quality through reinforcement...

This AI Paper Proposes MoE-Mamba: Revolutionizing Machine Learning with Advanced State Space Models and Mixture of Experts MoEs Outperforming both Mamba and Transformer-MoE Individually

State Space Models (SSMs) and Transformers have emerged as pivotal components in sequential modeling. The challenge lies in optimizing the scalability of SSMs, which...

NYU and Intel Researchers Introduce Image Sculpting: A New Artificial Intelligence Framework for Editing 2D Images by Incorporating Tools from 3D Geometry and Graphics

The existing 2D image editing methods face a substantial amount of limitations as they heavily rely on textual instructions, leading to ambiguity and restricted...

Can We Transfer the Capabilities of LLMs like LLaMA from English to Non-English Languages? A Deep Dive into Multilingual Model Proficiency

Significant achievements have been made in LLMs, exemplified by ChatGPT, excelling in complex language processing tasks. But most mainstream LLMs like LLaMA are pre-trained...

This Paper Introduces LARP: An Artificial Intelligence Framework for Role-Playing Language Agents Tailored for Open-World Games

Language agents have proven their worth regarding problem-solving abilities within brief timelines and defined settings. But when it comes to the ever-changing complexities of...