Inductive logic programming (ILP) and machine learning together represent a powerful synthesis of symbolic reasoning and statistical inference. ILP focuses on deriving interpretable logic rules ...

Knowledge representation and reasoning in logic programming constitute a core area of artificial intelligence that formalises how information is symbolically encoded and manipulated. This field ...

Today we heard from [Richard James Howe] about his new CPU. This new 16-bit CPU is implemented in VHDL for an FPGA. The ...

With extensive experience in the field, having served as a technology architect, operations manager, application developer and senior developer, Hogg noted that the programming profession has ...

The last few years have seen a substantial shift in research focused on Large Language Models (LLMs), with steady advancements in the field. LLMs excel at ...

Attention is on AGI taking white-collar jobs. That's a whammy. But there is a double whammy afoot. AGI embeds with humanoid ...

Such support is achieved by using the technique of logic meta programming to detect so-called bad smells and by defining a framework that uses this information to propose adequate refactorings. We ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

More than 250 student learning assistants (LAs) engage between 1,000 and 1,500 of their peers each week in math study sessions through our Learning Assistant Program, one of the largest in the country ...

A repository where I upload all the code I make to resolve programming exercises from Codeforces, Leetcode, etc... So you can look and study the code and solution.