If you're ready to dive headfirst into the cyberpunk genre but don't know where to start, consider these five cyberpunk ...

Abstract: Nonnegative low-rank matrix approximation is an important technique in data analysis for extracting meaningful patterns from high-dimensional nonnegative data. This nonnegative low-rank ...

Data centers face a conundrum: how to power increasingly dense server racks using equipment that relies on century-old technology. Traditional transformers are bulky and hot, but a new generation of ...

Low-rank data analysis has emerged as a powerful paradigm across applied mathematics, statistics, and data science. With the rapid growth of modern datasets in size, dimensionality, and complexity, ...

The numerical integration of stiff equations is a challenging problem that needs to be approached by specialized numerical methods. Exponential integrators form a popular class of such methods since ...

During a recent appearance on the “So True with Caleb Hearon” podcast, co-director Lilly Wachowski was asked about certain right-wing groups attaching their ideologies to her 1999 sci-fi masterpiece ...

Startup launches “Corsair” AI platform with Digital In-Memory Computing, using on-chip SRAM memory that can produce 30,000 tokens/second at 2 ms/token latency for Llama3 70B in a single rack. Using ...

Abstract: Factorizing a low-rank matrix into two matrix factors with low dimensions from its noisy observations is a classical but challenging problem arising from real-world applications. This paper ...

The numerical solution of the radiation transport equation (RTE) is challenging due to the high computational costs and the large memory requirements caused by the high-dimensional phase space. Here ...