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How does artificial intelligence think? The big surprise is that it ‘intuits’

Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving ...
Communications of the ACM

Building Intelligent Agents with Neuro-Symbolic Concepts

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...
blockchain

DeepMind Reveals 'Grokking' in Neural Networks: Sudden Generalization After Prolonged Training – Implications for AI Model Learning

According to God of Prompt on Twitter, DeepMind researchers have identified a phenomenon called 'Grokking' where neural networks may train for thousands of epochs with little to no improvement, then ...
Science Daily

AI may not need massive training data after all

New research shows that AI doesn’t need endless training data to start acting more like a human brain. When researchers redesigned AI systems to better resemble biological brains, some models produced ...
Electronic Design

A Neural-Network-Based Approach to Smarter DPD Engines

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy inefficiency in power amplifiers for next-generation wireless communication.
Semiconductor Engineering

How Neural Super Sampling Works: Architecture, Training, And Inference

This blog post is the second in our Neural Super Sampling (NSS) series. The post explores why we introduced NSS and explains its architecture, training, and inference components. In August 2025, we ...
Frontiers

Assessing the rereading effect of digital reading through eye movements using artificial neural networks

1 CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China 2 Department of Psychology, University of Chinese Academy of Sciences, Beijing, China Objective: This study aimed to ...
Hosted on MSN

Build A Deep Neural Network From Scratch In Python — No Tensorflow!

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...
IEEE

Simple Software for Training Artificial Neural Network Models Based on the Block Coding Approach

Abstract: The paper focuses on the development of a software program for creating and training ANN (artificial neural network) models. This program allows users to create their own ANN models without ...
Live Science

AI is entering an 'unprecedented regime.' Should we stop it — and can we — before it destroys us?

The technological singularity — the point at which artificial general intelligence surpasses human intelligence — is coming. But will it usher in humanity's salvation, or lead to its downfall? When ...
PLANetizen

The Basics of Artificial Neural Networks: What Urban Planners Should Know

This article is part of an ongoing column on AI and planning by urban planner and AI expert, Tom Sanchez. Read more installments here. Urban planners aren’t expected to become AI engineers. But with ...