Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

Probabilistic programming has emerged as a powerful paradigm that integrates uncertainty directly into computational models. By embedding probabilistic constructs into conventional programming ...

In this Artificial Intelligence podcast with Lex Fridman, computer scientist Donald Knuth discusses Alan Turing, Neural networks, machine learning and other AI topics from ant colonies and human ...

Complexity theory is a branch of computer science that studies the resources required to solve computational problems, particularly focusing on the classification of problems based on their inherent ...

In this paper, we propose two new perturbation simplex variants. Solving linear programming problems without introducing artificial variables, each of the two uses the dual pivot rule to achieve ...

Celoxica's ESL software for C-based design of SDR waveforms meets Sundance COTS development boards featuring DSP and FPGA chips, making available a complete software-defined radio (SDR) developers' ...

Five different AI algorithms have teamed up to kick human butt in Dota 2, a popular strategy computer game. Researchers at OpenAI, a nonprofit based in California, developed the algorithmic A team, ...

How to become a machine learning engineer: A cheat sheet Your email has been sent If you are interested in pursuing a career in AI and don't know where to start, here's your go-to guide for the best ...