A recent SD Times Live! Supercast shed light on practical solutions to stabilize the testing environment for dynamic AI applications.

Imagine handing the nuclear launch codes to the world’s most advanced artificial intelligence. You’d hope the machine would ...

When your AI assistant calculates revenue, bonuses, VAT or financial summaries, it isn’t doing math. It’s telling a convincing story about numbers.

AI is beginning to make inroads into designing and managing programmable logic, where it can be used to simplify and speed up portions of the design process. FPGAs and DSPs are st ...

ABSTRACT: This paper introduces a methodology that enables the relational learning framework to incorporate quantitative data derived from experimental studies in microbial ecology. The focus of using ...

Lean4 is a purely functional programming language based on the calculus of constructions with inductive types. Formal verification of claims are expressed in precise mathematical terms.

Google has introduced Mangle, a new open-source programming language that extends the classic logic-based language Datalog for modern deductive database programming. Implemented as a Go library, ...

Artificial intelligence (AI) techniques such as machine learning (ML) and particularly deep learning (DL) tools such as large language models (LLMs) (Zhao et al., 2023) have been increasingly used to ...

The term "reasoning" is a familiar metaphor in today's artificial intelligence (AI) technology, often used to describe the verbose outputs generated by so-called reasoning AI models such as OpenAI's ...

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 from ...

Abstract: A fundamental scalability restriction of most Inductive Logic Programming (ILP) systems is that they search syntactically defined program spaces and cannot utilize relations in data. While ...