Large language models are not just the future of cybersecurity—they’re the context engine that makes the rest of your ...

New reasoning models have something interesting and compelling called “chain of thought.” What that means, in a nutshell, is that the engine spits out a line of text attempting to tell the user what ...

Active vision dynamically refines spatiotemporal neural representations, optimising visual processing through scanning behaviour and non-associative learning, providing insights into efficient sensory ...

The purpose of the in-field exploratory drilling program is to expand Anfield's hub-and-spoke uranium and vanadium production model. The program will: 1) collect geologic information related to ...

One project Monteleoni worked on uses machine learning algorithms to combine the predictions of the approximately 30 climate models used by the Intergovernmental Panel on Climate Change.

According to CIO’s State of the CIO Survey 2025, 42% of CIOs say AI and ML are their biggest technology priority for 2025. And while actions driven by ML algorithms can give organizations a ...

Large Reasoning Models (LRMs) such as Claude 3.7 Sonnet Thinking, Deepseek-R1, and OpenAI's o3 are often described as a step toward more general artificial intelligence. Techniques like ...

Models for intuitionistic logic involve sets that are different from the sets of truth values. Traditional multi-valued models are introduced in this paper. The truth values of implication and ...

This repository contains examples demonstrating how to use Pinocchio, a zero-dependency library for creating Solana programs in Rust. What is Pinocchio? Pinocchio is a lightweight library that allows ...

Biologically inspired architectures that mimic the organizational structure of living organisms and in general frameworks that will improve the design of intelligent robots attract significant ...