Nature-inspired computers are shockingly good at math

Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex ...
Unite.AI

The Holy Grail of Computational Power in AI

Despite incredible progress, the capabilities of artificial intelligence are still limited when compared against real-world expectations. We build complex models, run neural networks, and test ...

ChatGPT 5 Surpasses Human Score on ARC AGI 2, Thanks to an Unhobbling Manager Layer

Learn how chain-of-thought and a guided meta-system boosted ChatGPT 5’s abstract thinking, so you can pick better tools for complex tasks.
WinBuzzer

DeepSeek Unveils ‘mHC’ Architecture to Fix AI Training Instability Amid Chip Bans

DeepSeek has introduced Manifold-Constrained Hyper-Connections (mHC), a novel architecture that stabilizes AI training and ...
eLife

A differentiable model for optimizing the genetic drivers of synaptogenesis

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
IEEE

Modeling a Problem-Solving Approach Through Computational Thinking for Teaching Programming

Abstract: Contribution: A problem-solving approach (PSA) model derived from major computational thinking (CT) concepts. This model can be utilized to formulate solutions for different algorithmic ...
IEEE

An Analytic Hierarchy Process-Based Multicriteria Model for Component Selection in a Computational Numerical Control (CNC) Machine

Abstract: The modernization process of a CNC machine entails multifaceted and critical component selection. This study proposes a multicriteria model based on the Analytic Hierarchy Process (AHP) to ...