Recently, a research team from the Rudolf Technology Center in Slovenia proposed a new method to optimize the sparse subgraph problem, which has wide applications in fields such as network analysis ...

Understand the merits of large language models vs. small language models, and why knowledge graphs are the missing piece in ...

The Δ-Motif algorithm leverages open-source libraries such as Pandas and Numpy, and achieves parallel processing on GPUs through NVIDIA's RAPIDS. According to benchmark tests, the algorithm's speed is ...

Scientists at UCL, Google DeepMind and Intrinsic have developed a powerful new AI algorithm that enables large sets of ...

While everyone's debating AI and automation, live social shopping is quietly producing conversion rates of 10% to 30% on ...

The decline in religiosity over the past 15 years is twice as great as the decline in 1960s and 1970s. An update through 2013 is now available here. Religiosity in the United States is in the midst of ...

A growing number of AI processors are being designed around specific workloads rather than standardized benchmarks, ...

A team of researchers from the University of Professional Studies, Accra, led by Dr. Augustina Dede Agor, has completed one of the most detailed global reviews to date on the integration of artificial ...

Embodied intelligence applications, such as autonomous robotics and smart transportation systems, require efficient coordination of multiple agents in dynamic environments. A critical challenge in ...