Abstract: Dynamic programming is a mathematical optimization first invented in 1950s and lived till our times to make optimizations and reduce complexity in several different fields like ...

When the FORTRAN programming language debuted in 1957, it transformed how scientists and engineers programmed computers. Complex calculations could suddenly be expressed in concise, math-like notation ...

Large Language Models (LLMs) have showcased remarkable capabilities in recent years. One of the most intriguing facets of their capabilities is their adeptness across a wide variety of tasks.

Abstract: In recent years, the use of adaptive dynamic programming algorithm to solve the Nash equilibrium problem of multiplayer differential games has received extensive attention. Although ...

Genomics is playing an important role in transforming healthcare. Genetic data, however, is being produced at a rate that far outpaces Moore’s Law. Many efforts have been made to accelerate genomics ...

We hear talk of AI’s growing programming prowess to the point that it could, extrapolating things out, come to dominate base-level programming if not more, inhibiting the skill development of ...

Evident by the smell of masala chai and the smooth jazz rendition of “Sweet Caroline” filling the air near the Kendall/MIT Open Space, Oct. 5 marked the third year of Fall Party, an annual autumnal ...

In May, a research team from MIT announced a new programming language, Finch. It’s designed to support both flexible control flow and diverse data structures. “Finch facilitates a programming model ...

In a world where CPUs are no longer the be-all and end-all of computing power, MIT's Associate Professor Jonathan Ragan-Kelley is cutting through the complexity to tailor-make programming languages ...

The foundational importance of arrays in computer science cannot be overstated. Arrays and lists are the bedrock of data structures, often the first concepts introduced to budding programmers. Since ...