Researchers have developed a new system for generating high-quality assertions in hardware design. Assertions are like checks to ensure that digital d...
Researchers have developed a new method for accelerating video generation and world models using sparse attention. The approach, called SparsePR, invo...
Researchers have developed a new model called Physics-Unrolled Hybrid Neural Operator (PU-HNO) that predicts high-fidelity indoor radio maps from low-...
Researchers are developing AI agents that can perform computational chemistry simulations autonomously, from designing experiments to analyzing result...
Researchers have proposed a new deep learning model called OptiModNet for segmenting the optic disc and cup in images. This task is critical for detec...
Researchers have developed a new method for compressing wireless channel data called the Gramian Chebyshev Neural Operator (GCNO). This approach ident...
Researchers have developed a new method for detecting AI-generated images. They propose using a prior-conditioned Gaussian discriminant ladder to dist...
Researchers have proposed a new framework called DART-SD to improve the performance of large language models in tasks that require multi-turn tool-cal...
Researchers have found that large language models can be unstable and sensitive to subtle changes in prompts. They introduced a new tool called 'inter...
Researchers have developed a new benchmarking framework called CentaurBench to evaluate the capabilities of large language models (LLMs) in augmenting...
Researchers have proposed a framework for detecting performance drift in Machine Learning as a Service (MLaaS) systems used in IoT environments. The f...
Researchers have developed a new framework called MorphoGP to predict equilibrium beach profiles under tidal influence. This is important for sustaina...