Recently, a research team from Hokkaido University made significant progress in the complexity study of the Hitting Geodesic Intervals (HGI) problem. The HGI problem aims to find a small set of ...

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

Overview AI excels at tasks but struggles with contextual reasoning that comes naturally to humans.The absence of common ...

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 ...

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

Artificial Intelligence (AI) can be seen as a kind of time traveler. It cannot carry people through centuries, but it can move through the data left behind. From old texts to forgotten places, AI can ...

Google DeepMind and Intrinsic developed AI that uses graph neural networks and reinforcement learning to automate multi-robot ...

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 ...

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

Context, not content, now drives AI visibility, making structured data the strategic data layer every enterprise must ...