The smartest way to use AI may not be letting it interact with your files, but asking it to write software that handles them ...

AI/ML and agentic tools are getting better at helping design and compile FPGAs, but downstream programming is slower to benefit. FPGAs historically have been designed using Verilog or VHDL, but higher ...

Abstract: The convergence of intelligent transportation systems and urban informatics has given rise to the deployment of connected and autonomous vehicles (CAVs) which offers the potential to enhance ...

Background: Quantum image processing is rapidly developing in the field of quantum computing, and it can be successfully implemented on the Noisy Intermediate-Scale Quantum (NISQ) device. Quantum ...

This repo provides the codebase for paper "[ICML 2024] A General Framework for Learning from Weak Supervision" [GLWS]. It accomidates 14+ weak supervision settings, with baselines implemented and ...

Algorithms have taken on an almost mythical significance in the modern world. They determine what you see on social media and when browsing online, help form people’s belief systems, and impact the ...

Machine learning and deep learning have been widely embraced, and even more widely misunderstood. In this article, I’ll step back and explain both machine learning and deep learning in basic terms, ...

The propositional satisfiability problem (SAT) was the first to be shown NP-complete by Cook and Levin. SAT remained the embodiment of theoretical worst-case hardness. However, in stark contrast to ...

Agriculture, the backbone of the economy to most developing countries, should normally contribute to its economic growth. But ignorantly, farmers grow crops by simply taking a piece of land, clearing ...

This marks the 18th year of the SFU/UBC Joint Statistics Seminar. The goal of the seminar is to have graduate students from SFU and UBC socialize and present their new research. Breakfast will be ...