Atmospheric turbulence imposes a fundamental limitation across a broad range of applications, including optical imaging, remote sensing, and free-space optical ...
Large language models (LLMs) and multimodal LLMs are changing event extraction (EE): prompting and generation can often produce structured outputs in zero shot ...
Predicting reaction outcomes across continuous solvent composition ranges remains a critical challenge in organic synthesis and process chemistry. Traditional m...
Understanding source code changes and their impact on other code entities is a crucial skill in software development. However, the analysis of code changes and ...
Timely and accurate situational reports are essential for humanitarian decision-making, yet current workflows remain largely manual, resource intensive, and inc...
While Silicon Valley debates whether artificial intelligence has become an overinflated bubble, Salesforce's enterprise AI platform quietly added 6,000 new cust...
Recommender systems are enablers of personalized content delivery, and therefore revenue, for many large companies. In the last decade, deep learning recommende...
Urban underground cable construction is essential for enhancing the reliability of city power grids, yet its high construction costs make planning a worthwhile ...
About Me Hi, I’m Arish. I write code mostly because my brain refuses to shut up unless I give it something to break. I’m a computer science student who’s into...
AI has made building fast and cheap, but finding the right problems still feels hard. I built World’s Backlog https://worldsbacklog.com to collect real problems...
Decentralized federated learning (DFL) enables collaborative model training across edge devices without centralized coordination, offering resilience against si...
Bangla is a low-resource language for code generation, lacking large-scale annotated datasets and tools to transform natural language specifications into execut...
