The 1990s were a boom time for new programming languages. The rise of the internet and the increasing complexity of software ...

Reinforcement Programming (RP) is a new approach to automatically generating algorithms, that uses reinforcement learning techniques. This paper describes the RP approach and gives results of ...

The strength of certain neural connections can predict how well someone can learn math, and mildly electrically stimulating these networks can boost learning, according to a study published in the ...

Due to the demanding requirements of the next generation technology, there is a need for heterogeneous wireless networks. One of the most crucial issues in heterogeneous network is vertical handover ...

The bookshelf problem (which computer scientists call the “list labeling” problem) is one of the most basic topics in the field of data structures. “It’s the kind of problem you’d teach to freshman or ...

How reliable is artificial intelligence, really? An interdisciplinary research team at TU Wien has developed a method that ...

Introduction If you’re a senior high school student in the STEM strand, you’re already on a path filled with innovation, ...

Key Takeaways NASA relies on languages like Python, C++, and Julia for data analysis, simulations, and space ...

But for Javier Orman the transition from professional violinist to a machine learning engineer at LinkedIn was a surprisingly natural one. Growing up in Montevideo, Uruguay, Orman excelled at both ...