The advancements in large language models (LLMs) have created opportunities across industries, from automating content creation to improving scientific research. However, significant challenges remain ...

Artificial Intelligence (AI) is transforming how businesses operate, offering unprecedented efficiency, innovation, and customer satisfaction. By automating repetitive tasks, providing insights from ...

The integration of artificial intelligence into everyday life faces notable hurdles, particularly in multimodal understanding—the ability to process and analyze inputs across text, audio, and visual ...

Generating all-atom protein structures is a significant challenge in de novo protein design. Current generative models have improved significantly for backbone generation but remain difficult to solve ...

The advancements in large language models (LLMs) have created opportunities across industries, from automating content creation to improving scientific research. However, significant challenges remain ...

Software has been a critical catalyst for economic growth over the past several decades, a phenomenon prominently articulated by Andreessen in his influential blog post, “Why software is eating the ...

Transformers have become the backbone of deep learning models for tasks requiring sequential data processing, such as natural language understanding, computer vision, and reinforcement learning. These ...

In machine learning, reliable predictions and uncertainty quantification are critical for decision-making, particularly in safety-sensitive domains like healthcare. Model calibration ensures ...

A notable aspect of peripheral responses in the animal nervous system is localization, where the linear receptive fields of simple-cell neurons respond to specific, contiguous regions much smaller ...

Accurately predicting where a person is looking in a scene—gaze target estimation—represents a significant challenge in AI research. Integrating complex cues such as head orientation and scene context ...

Chemical synthesis is essential in developing new molecules for medical applications, materials science, and fine chemicals. This process, which involves planning chemical reactions to create desired ...

Reinforcement Learning is now applied in almost every pursuit of science and tech, either as a core methodology or to optimize existing processes and systems. Despite broad adoption even in highly ...