It’s been difficult to find important questions that quantum computers can answer faster than classical machines, but a new ...

A new crowd-trained way to develop LLMs over the internet could shake up the AI industry with a giant 100 billion-parameter ...

A quantum computer can solve optimization problems faster than classical supercomputers, a process known as "quantum ...

This is an important study utilizing innovative CRISPR based approaches demonstrating the role of the KLF family of transcription factors in the post natal maturation of cortical projection neurons.

Researchers from UCLA and Meta AI have introduced d1, a novel framework using reinforcement learning (RL) to significantly enhance the reasoning capabilities of diffusion-based large language models ...

The divergence of ASIC designs makes it difficult to run commonly used modern sequencing analysis pipelines due to software ...

Sensitivity is the likelihood of correctly determining the presence of disease in the whole population that has the disease (true positive rate) whereas specificity is the likelihood of correctly ...

While the theoretical analysis of distributed optimization algorithms has received significant attention, its application to cooperative robotics has not been investigated in detail. In this article, ...

This repository covers a comprehensive range of Python topics, from basic to advanced concepts. It includes materials, tasks, and solutions to help you learn and master Python programming.

Department of Applied Mechanics, Indian Institute of Technology Madras, Chennai 600036, India ...